Observer Limits and Physical Costs in Native Constructions
+This report offers tools and scoped findings for researchers trying to improve
+the integer-multiplication exponent saving κ. Its main contributions are ways
+to screen proposed reuse mechanisms, identify what a repair must change, and
+connect a local operator improvement to the full cost budget. No new κ is
+established.
+The work extends the recovered filtered_native packet. It combines exact
+phase-aware history analysis, an observer quotient with rational certificates,
+literal program-to-invoice checks, exploratory feedback searches, and a
+conditional arithmetic budget. The practical value is to make subsequent
+construction attempts more selective and easier to verify.
+The repository baseline at the pinned research snapshot was the conditional
+κ = 0.00302015 construction in PR4470.
+The findings are author-checked scoped research prepared for public review;
+they do not update the selected frontier. Sources are pinned to canonical origin/main
+7c472563474e60185e6ca101a17622133d047e56, dated 2026-10-23.
+At submission refresh, canonical main
+1ec1119972c9aefe42525172d07b332fcff81cb4 selects the conditional
+PR4610 construction,
+independently audited in PR5241.
+The earlier baseline above is retained as research provenance. The two arithmetic
+dependencies used here are unchanged at that refresh. These results concern the
+pinned source words and do not establish a new exponent for the newer selection.
+Findings researchers can use
+
+
+
+| Finding |
+Evidence |
+How it can guide another construction |
+
+
+
+
+| Cheaper native execution changes the endpoint |
+Deleting eight H8 centers exposes a defect controlled by eight R modes |
+Carry the changed operator and its repair cost into the caller; the old target inventory cannot be credited automatically |
+
+
+| Unchanged-history snapshots lack a needed dense coefficient |
+All 2,965 distinct source-X physical terms have Clifford grade at most 8; the following thin query needs grade 9 at all 112 ports |
+Run a phase-aware support census before investing in a passive cache construction |
+
+
+| Simple end-only observers do not give a cheap repair in the tested families |
+Individually clean gathers cost lift rank mass 72 versus deleted mass 64; 204,291 two-frame pairs of total lift rank at most 8 are excluded exactly in the necessary quotient |
+Investigate earlier observer injection, more frames, or changed contacts; the excluded families can be screened out of future searches |
+
+
+| Gauge replay can agree while its cost inventory remains unbound |
+The pinned PR5270 literal reuses nine axes while its invoice credits fresh-stage targets through rank 153 |
+Bind every target and paid job to literal coordinates and chronology, in addition to checking operator equivalence |
+
+
+| Joint arithmetic can be evaluated before a full physical implementation |
+Exact interval and independent integer-root checks quantify the value of hypothetical center replacements |
+Use the budget to compare candidate repairs, then require endpoints, phases, helpers, ordinary work, and both complex/BIT branches before admitting an increased κ |
+
+
+
+These findings have different strengths. The support argument concerns a fixed
+whole-field macro grammar. The observer exclusions concern specified finite
+families in a necessary quotient. The MILP and active-feedback runs are search
+results. None gives a universal barrier to increasing κ.
+A cheaper native word comes with a repair problem
+The recovered packet builds on the center-free coded-producer direction in
+PR4929. It uses
+P = RᵀR/56, A = I − 14P, C_F = A + (I−A)F.
+Deleting eight H8 centers reduces the paid inventory, but changes the native
+endpoint. The defect factors through the eight R modes. This gives a concrete
+repair target: recover or otherwise handle those modes while preserving the
+arbitrary original inputs and independent helper outputs.
+For another researcher, the useful interface is the changed operator together
+with its complete input/output contract. A proposed observer, inverse code, or
+caller should be checked against that interface before its rank savings are
+included in an exponent calculation. A repair may consume the entire apparent
+saving.
+The predecessor's paired inverse codes, causal companion, even-head resolvent,
+and encoded-mode controls remain verified components worth reusing. They do
+not discharge the missing odd-Q ordinary-caller obligation. Algebraic inverses
+and physical implementations must be connected through the actual phase and
+frame conventions.
+Screen passive reuse with physical support
+history_grade_probe.py replays all 632 independent original amplitudes,
+including 408 independent helpers, using the actual phase-sensitive K_G
+operators and conjugate raw-dual canonical frames. It checks the original
+endpoints and owned-zero return, and observes 21,480 row snapshots.
+Among 2,965 distinct source-X physical terms, every Clifford grade is at most
+8. A snapshot has at most 24 source-X terms in total. By contrast, the X
+coefficient needed for the following thin query has grade 9 at each of the
+112 ports.
+For column width f, a grade-r Clifford coefficient has at most 2^(rf) nonzero
+entries per row. Monomial recoding preserves row support. A sum of M recoded
+snapshots therefore has row support at most 24M·2^(8f) in a fixed X input
+column, whereas the required coefficient has exactly 2^(9f) nonzeros per
+row. Equality requires 24M ≥ 2^f.
+If an expression is built from snapshot inputs using L whole-field binary
+additions, it has at most 2^L leaves, giving L ≥ f − log₂24. A fixed finite
+number of these operations cannot supply the following thin query at every
+width.
+Research implication. For this unchanged history, passive whole-field
+linear combinations and monomial recodings cannot provide that query using a
+constant number of whole-field operations. A candidate must change an assumption
+of this argument, for example by using a new paid provider, a changed native word, or
+a different operation grammar. The argument does not bound arbitrary coordinate
+algorithms or multiplication. It also does not exclude every form of cache
+reuse.
+The reusable technique is a physical grade census followed by a support
+comparison. A census based only on the binary incidence matrix G would not
+justify this conclusion; the K_G phase and raw-dual frame conventions matter.
+The implementation can serve as a template for screening a different history,
+with its own endpoint checks and coefficient census.
+A separate bounded alignment screen, snapshot_probe.py, considers 424
+rank-eight snapshot arrivals and native-word recodings. Each port has three
+independent eligible candidates; none recovers the target at any of the 112
+ports. Native-Y exit positive controls pass. This exact result is limited to
+that recoding family and does not exclude additional group relations or more
+general ordinary recodings.
+Use observer quotients to test repair ideas cheaply
+The changed, center-free backward word can first be examined in the necessary
+specialization K_G |0⟩ = |0⟩. The observer probe keeps all 632 original
+amplitudes and the 408 independent helpers, checks the changed endpoint in
+this specialization, and grants full-frame snapshots as free side information.
+That side-information span has rank 482; eight R-mode directions remain missing.
+This relaxation supports inexpensive tests before attempting a full physical
+operator identity. Its exact subspaces are exported in
+evidence/observer-subspaces.json.gz for other searches. A quotient-level
+candidate still needs phase-aware physical recovery, chronological access,
+helper preservation, and a complete invoice.
+Individually clean observations
+observer_probe.py examines 1,001 non-full contact frames. At ranks 1–8, no
+same-frame scalar gather individually supplies a pure missing-mode combination
+modulo the free side information. Ground-frame gathers recover all eight modes,
+but their full lifts cost rank mass 8·9 = 72, exceeding the removed mass 64.
+This exact optimum applies to the individually clean lift family. It does not
+settle jointly decoded noisy observations. Its practical use is to prevent
+repeating a clean-observer search over the same contacts without changing the
+model.
+Two noisy observations, with exact certificates
+exact_pair_check.py --maximum-cost 8 examines 204,291 pairs from 871 contact
+frames, allowing arbitrary same-frame gathers and a summed full-lift rank at
+most eight. None yields a missing-mode direction in the necessary quotient.
+For 202,749 pairs, a full-rank minor over F65537 proves that the nuisance
+projection is injective over Q. The remaining 1,542 pairs are checked by exact
+rational elimination. A deliberately planted joint-noise cancellation passes
+the positive control. The earlier budget-four calculation is retained too.
+Research implication. Two-frame repairs within this cost budget are
+excluded in this family. Researchers can turn to other timings, three or more
+frames, larger budgets, or changed sources without treating those possibilities
+as already ruled out. The modular-minor shortcut plus rational fallback is also
+a reusable way to turn a fast modular screen into an exact finite certificate.
+A negative modular search alone would not provide that certificate.
+Wider joint searches remain exploratory
+observer_milp.py searches 986 frame selectors and 2,312 continuous row
+coefficients. With coefficient bound 32 and total lift rank budget eight,
+HiGHS reports infeasible for each of the eight target modes. A budget-nine
+positive control reconstructs over Q.
+This is bounded numerical search evidence. It can help choose follow-up
+experiments, but it is not an unrestricted rational infeasibility proof and
+does not extend the exact two-frame exclusion to arbitrary collections of
+frames. The retained solver inputs and subspaces make that boundary explicit.
+Bind literal programs to the claimed rank inventory
+repeated_head_probe.py provides a concrete review example at
+PR5270, pinned head
+df9e5037587ce0cfbd23c2a944515526b301e820. Its two source files are retained
+byte-for-byte in inputs/. The probe traces the actual listing and dispatch
+with empty payloads.
+Every LETTER and IDLE uses the same range(9), while the invoice credits fresh
+eight-axis stage blocks and a maximum target rank of 153. The p19 middle IDLEs
+execute 4,032 rank-nine field jobs, whereas their thinned invoice contribution
+is zero. Equality to a reference using the same reused head demonstrates gauge
+equivalence; it does not establish those target ranks or paid-job omissions.
+There is a separate adaptation cost: turning native D into R = DQ by the
+direct two-bank post-Q recipe costs 4,256 H1 jobs at p19. Even a relaxation
+that grants H9 main targets and discards every idle charge has rank-mass surplus
+−2,240 after that direct upgrade. This applies to that explicit recipe, not
+every possible redesigned caller.
+Research implication. A supplier certificate should connect its literal
+coordinate maps, its target operators, and every charged operation. Agreement
+between two programs sharing the same coordinate reuse does not establish an
+independent-stage invoice. This check is useful for other controller proposals,
+including ones with different pair counts or stronger headline savings.
+Explore feedback while retaining its physical obligations
+The active-feedback experiments allow selected-mode controls on six original
+banks plus one or two owned scratch banks. They test 128 width-two sectors with
+seven independent stage signs and one filtered stage. Three starts with one
+scratch bank and three with two banks plus internal selected feedback found no
+numerical hit.
+These runs do not exclude feedback repair. Their reusable contribution is a
+small discovery model and recorded controls/residuals for a mechanism that is
+broader than passive observation. A promising continuation would change the
+physical contacts or observer timing, reconstruct any numerical hit over Q,
+and then replay every arbitrary input column with the actual phases. Owned
+restoration and ordinary work remain part of the cost contract.
+Relevant primary literature suggests directions without supplying that
+compilation automatically:
+
+Translate a local saving into a joint κ budget
+For a proposed saving κ, the raw inventory test compares
+M(κ) = Σ_r T_r r^(1−κ) − Σ_r P_r r^(1−κ).
+This is a useful first arithmetic screen once the target inventory T and paid
+inventory P are justified. If a fixed caller has sixteen backward invocations,
+replacing s rank-b centers per backward call by one H1 each increases this raw
+margin by 16s·(b^(1−κ) − 1), provided every endpoint and helper target is
+preserved. A changed endpoint requires a new inventory or a separately charged
+repair before this formula can be used.
+acceptance_budget.py connects a hypothetical local replacement to higher
+moments, both charged tails, a logarithmic compiler, an ordinary BIT cover,
+and 54 strict plus four functional outer checks. independent_budget_check.py
+uses integer roots to check the raw margins independently of the retained
+logarithm/exponential engine. The retained scripts implement one fixed
+conditional invoice; they are reference implementations to adapt for another
+candidate, not a general parameter-search interface. Their evidence records
+retain the numerical parameters and unfulfilled implementation obligations.
+Research implication. Compare repair ideas using their full marginal cost,
+then track which of the complex and BIT branches limits the joint bound. A
+complex improvement may leave the joint κ unchanged when the BIT branch is
+insufficient. Favorable moments alone do not establish a new supplier: the
+physical-word, arbitrary-input, phase/all-width, helper, ordinary-work, and
+precision/tape obligations remain separate.
+Related PRs and where these findings fit
+
+
+
+| PR |
+Relevant contribution |
+Connection to this report |
+
+
+
+
+| PR4929 |
+Center-free native producer with an explicit rank-eight port code |
+Supplies the changed-endpoint setting; deleting centers leaves a mode-recovery obligation |
+
+
+| PR4933 |
+Phase-correct normalizers and a coded p16 caller |
+Provides physical conventions for distinguishing scalar owner mixing from the actual port code |
+
+
+| PR4940 |
+Coded reverse stages and inverse-code query shears |
+A caller direction whose scalar-to-physical substitution needs explicit checking |
+
+
+| PR5036 |
+First physical substitution gap for the coded reverse controller |
+Shows why a scalar inverse recipe cannot be assumed to realize the physical thin source |
+
+
+| PR5270 |
+Materialized p19 coded-reverse word |
+The pinned literal-to-invoice case study above; the findings concern the inspected head |
+
+
+| PR5283 |
+Gaussian cache reuse for cross-frame ADDs and paid history |
+Related cache work; this report's support argument specifically concerns the following thin query |
+
+
+| PR4760 |
+Compact partial helpers for an ordinary BIT supplier |
+A complementary branch improvement to consider when evaluating the joint budget |
+
+
+
+The BIT minimum-completion experiment in
+research/kappa-rebuild/bit/pr589_minimum_completion.py also examines the native
+primitive from PR589.
+Its local mass saving is lost to its direct global-Q repairs, illustrating why
+adaptation costs must accompany a proposed local gain.
+These links identify relevant contributions and review questions. Their
+publication or archival integration does not itself admit a new supplier.
+The source pins and scope of each result still govern its use. In particular,
+the following-thin-query exclusion here should not be transferred to every
+cache task studied in PR5283.
+The related retained-snapshot investigation
+reports finite clean-word cache screens. This package adds the phase-aware
+following-query support argument and changed-source observer quotient; it does
+not claim those earlier cache screens as new findings.
+Open next questions
+
+- Can an observer be injected before later paid jobs? The end-only families
+above leave this route open. First attach a selected observer before a later
+climb and replay all 632 arbitrary columns with actual K_G phases. Progress
+requires a chronological repair word and its complete paid/ordinary inventory.
+- Which BIT changes would complement a proposed complex gain? First build
+the analogous changed-source DAG and lower-frame observability data for BIT,
+then evaluate both branches against the candidate joint saving. Progress
+requires an endpoint-preserving BIT program and a charged account of global
+Q adaptation; local mass savings alone have already proved misleading.
+- Can a broader observer or feedback grammar recover the missing modes?
+First test changed contacts, earlier timing, or more than two contact frames
+in the exported quotient. A surviving candidate needs rational reconstruction,
+full phase-aware replay, ownership restoration, and an ordinary-work budget.
+The numerical no-hit runs do not resolve this question.
+- Can a coded-reverse caller use genuinely fresh stage coordinates? First
+list the coordinate map for every LETTER and IDLE and price D-to-R adaptation.
+Progress requires a physical fresh-stage word and a target/paid recount;
+a same-head gauge comparison does not discharge those obligations.
+
+Sources and reproduction
+The original recovered archive is retained unchanged:
+integer_mult_filtered_native_implementation_2026-10-23.tar.gz
+SHA-256 595f988e748b1f3b25e7525a226da173966e4278a70f511b2919245cec1b45f7.
+Its 359 source-manifest entries and fourteen focused checks passed. The replay
+transcript is evidence/predecessor-replay.log. Exact sources, environments,
+commands, and limitations are recorded in SOURCES.json; the evidence index is
+RESULTS.json. The selected baseline and its review were resolved through
+certificates/selected-result.json at the pinned snapshot.
+Python 3.11 with NumPy 1.26.4 and SciPy 1.15.3 was used. Core continuation checks
+use the standard library; predecessor replay and optional MILP require the
+listed numerical dependencies. Optional feedback optimization used PyTorch
+2.8.0.dev20250501 and is time-limited and non-deterministic.
+The unchanged predecessor archive is included at
+inputs/original-packet.tar.gz, with its original license and notices inside.
+This archive-based package can be replayed from a clean checkout without local
+download files. From the repository root:
+python3 -B research/filtered-native-kappa004/verify_continuation.py
+
+From the standalone export, which includes the original archive, the unchanged
+arithmetic dependencies, and the license:
+python3 -B research/filtered-native-kappa004/verify_continuation.py --replay-predecessor
+
+An explicit --archive /absolute/path/to/archive.tar.gz can select another copy
+of the same pinned predecessor bytes. The verifier authenticates source bytes,
+extracts into temporary directories,
+and compares recomputed scientific outputs with the saved evidence, ignoring
+elapsed times. --with-milp additionally reruns the bounded solver screens and
+their positive control. The optimization searches are excluded from default
+verification. No Lean, Docker, full repository suite, or theorem-level proof
+replay was run. Existing technical paths retain their original names so the
+recorded replay commands remain usable.
+The HTML report is generated from this README and report.css. Regenerate it
+with python3 -B research/filtered-native-kappa004/render_report.py; the
+document-only dependency is markdown-it-py==3.0.0.
+Credit and scope
+The recovered filtered-native packet and its pinned upstream sources retain
+all attribution and notices. The interval/compiler source credits zxv and
+substantial OpenAI Codex assistance; mixed-target flow credits Jacob Alan
+Sussman's Theorem 1G; the retained outer/native/compiler/cover authors keep
+their credit. PR5270 source files retain their original notices unchanged.
+New continuation code and this report were prepared with substantial OpenAI
+Codex assistance under Apache-2.0. The report supplies reusable research findings
+and explicitly scoped evidence, with no claim of a new multiplication theorem
+or scientific approval of an external draft.
+
diff --git a/research/filtered-native-kappa004/RESULTS.json b/research/filtered-native-kappa004/RESULTS.json
new file mode 100644
index 0000000000..5bc819c792
--- /dev/null
+++ b/research/filtered-native-kappa004/RESULTS.json
@@ -0,0 +1,219 @@
+{
+ "status": "SCOPED_RESEARCH_FINDINGS_FOR_KAPPA_IMPROVEMENT",
+ "new_kappa_claimed": false,
+ "admitted_construction": false,
+ "predecessor_checks_passed": 14,
+ "predecessor_manifest_entries": 359,
+ "core_replay": "evidence/core-replay.json",
+ "readable_report": "README.md",
+ "evidence": [
+ {
+ "path": "evidence/acceptance-budget.json",
+ "bytes": 9748,
+ "sha256": "ad1ebc679bbbe0665f4aafe20d7f88fc322b9587a7e9eda7dd672ed635eaf41f"
+ },
+ {
+ "path": "evidence/core-replay.json",
+ "bytes": 25514,
+ "sha256": "6e271e57bd74eef4460a05312211d9b177e56d7e4861780303a6d1e6d816324b"
+ },
+ {
+ "path": "evidence/exact-pair-check-budget8.json",
+ "bytes": 884,
+ "sha256": "2ece4ac1b5ca53fc7610d727637cbb7a452163fab9f331017373f8e18232509c"
+ },
+ {
+ "path": "evidence/exact-pair-check.json",
+ "bytes": 818,
+ "sha256": "a7883b008536e633aee5d5ba3b30ae03b056c5bbbbf838e666cd99afe696538c"
+ },
+ {
+ "path": "evidence/feedback-scratch1.json",
+ "bytes": 67637,
+ "sha256": "e6f980d12468dde232569a8546c1eecf1e88c290a8327af7ddba0e744c5ef120"
+ },
+ {
+ "path": "evidence/feedback-scratch2-internal.json",
+ "bytes": 87126,
+ "sha256": "c12130af733b96175b3a8da37d42b9d25aa0109c68e77ca3d4023472dfc1b77f"
+ },
+ {
+ "path": "evidence/history-grades.json",
+ "bytes": 14655,
+ "sha256": "d0b6fb128ea2c1860665299bc0d20538abb610b358dfa85efde59650582b0e87"
+ },
+ {
+ "path": "evidence/independent-budget.json",
+ "bytes": 1884,
+ "sha256": "666f6969e6d0a8520be5d8a39ffdc6d0be75d081fdeaa353216435b1af6870c5"
+ },
+ {
+ "path": "evidence/integrity-controls.json",
+ "bytes": 378,
+ "sha256": "498c10058ca080f17f1db7a79da2d267f89cc784c56a5e8fd4a1ba063c543aa7"
+ },
+ {
+ "path": "evidence/observer-milp-mode0-budget8.json",
+ "bytes": 873,
+ "sha256": "b8241cb09b37db76dbb32a43eedc2886cfe189e7f64504ad9b369c8b78528536"
+ },
+ {
+ "path": "evidence/observer-milp-mode0-budget9.json",
+ "bytes": 1033,
+ "sha256": "94b80d06f285b6a6c330d085dd512be2b6bbcdcc86bad327d28bc15c86dc8278"
+ },
+ {
+ "path": "evidence/observer-milp-mode1-budget8.json",
+ "bytes": 874,
+ "sha256": "d5cd6e6eb7741ed47a14d17c712f818ec9363c237950a3547b1aa7ea6c36f3b9"
+ },
+ {
+ "path": "evidence/observer-milp-mode2-budget8.json",
+ "bytes": 872,
+ "sha256": "3a7928a9c998d5704efc9d9eb99020a6c2d149600e8f2a537107274922bbbd0e"
+ },
+ {
+ "path": "evidence/observer-milp-mode3-budget8.json",
+ "bytes": 873,
+ "sha256": "4527587f27e64bdfb1dfe4d5730996cd4abdb0e2945448dc6cfcc462fe70f22d"
+ },
+ {
+ "path": "evidence/observer-milp-mode4-budget8.json",
+ "bytes": 873,
+ "sha256": "485819868faad14ed7c53d219c2e4ff6a7ade6e0bab05878348ed507a1b314a2"
+ },
+ {
+ "path": "evidence/observer-milp-mode5-budget8.json",
+ "bytes": 873,
+ "sha256": "e9da7ba7b3e25653d69445b24029578d55ed4577a1f957fabbd85a5fab49e343"
+ },
+ {
+ "path": "evidence/observer-milp-mode6-budget8.json",
+ "bytes": 873,
+ "sha256": "4d20ea2ea6c2ddf573b482e45cc9cf9b148bfe884e77af4c6ee5d53e1cb275f0"
+ },
+ {
+ "path": "evidence/observer-milp-mode7-budget8.json",
+ "bytes": 873,
+ "sha256": "788ba2d094ee5c1d28fb09b418a4dd8c78e00ac8ec0876f07247b5646a2967ba"
+ },
+ {
+ "path": "evidence/observer-probe.json",
+ "bytes": 60150,
+ "sha256": "86fa6cda08b42612f8e44b06afd19efb9c446ee707a66577f0f48939e6516f25"
+ },
+ {
+ "path": "evidence/observer-subspaces.json.gz",
+ "bytes": 81375,
+ "sha256": "9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44"
+ },
+ {
+ "path": "evidence/paired-observer-probe.json",
+ "bytes": 705,
+ "sha256": "491ede7c5c7ca5a555146e23a94da5982b4f3e3534bf049f30dd92330ee86e50"
+ },
+ {
+ "path": "evidence/portable-predecessor-and-milp-replay.json",
+ "bytes": 39284,
+ "sha256": "7a4c9f8510e5625e6b5ffb0298ea21d5469e916dd0ef93d961cff3c01213918c"
+ },
+ {
+ "path": "evidence/predecessor-replay.log",
+ "bytes": 2919,
+ "sha256": "d3397e770527cd407520a414695c2f0ce5211b65d58753ec7f3b46e6444657e6"
+ },
+ {
+ "path": "evidence/repeated-head-probe.json",
+ "bytes": 35641,
+ "sha256": "2a7d827ea5f93fa770625ab1825d16bbcef4b7b72a2e4577952ffdfc2cc90fd3"
+ },
+ {
+ "path": "evidence/snapshot-probe.json",
+ "bytes": 22590,
+ "sha256": "feec7ed78001a8d34fb7fc4d1cbd329a68acb5168f240babee06bb1ea238abd9"
+ },
+ {
+ "path": "evidence/submission-replay.json",
+ "bytes": 27570,
+ "sha256": "984e6763a95aac018b9571f405010a66e51886673472589824349a6a5417e0b4"
+ }
+ ],
+ "scope": "Exact scoped probes, conditional arithmetic and bounded discovery searches. No complete multiplication theorem or unrestricted lower bound.",
+ "exact_two_frame_quotient_exclusion": {
+ "maximum_total_lift_rank": 8,
+ "pairs": 204291,
+ "full_modular_minor_exclusions": 202749,
+ "rational_elimination_exclusions": 1542,
+ "three_or_more_frames_excluded": false
+ },
+ "report_focus": "Observer limitations, physical support screens, rank accounting and their implications for future native constructions.",
+ "reusable_findings": [
+ {
+ "finding": "Physical support screen for passive reuse",
+ "evidence": "evidence/history-grades.json",
+ "use": "Screen a fixed whole-field grammar before designing a cache repair."
+ },
+ {
+ "finding": "Exact finite-family observer exclusions",
+ "evidence": "evidence/exact-pair-check-budget8.json",
+ "use": "Avoid repeating the excluded end-only two-frame searches; reuse the modular-minor/rational-fallback method."
+ },
+ {
+ "finding": "Bind literal coordinate use to rank inventories",
+ "evidence": "evidence/repeated-head-probe.json",
+ "use": "Check supplier costs and target ranks alongside operator equivalence."
+ },
+ {
+ "finding": "Conditional joint-budget evaluation",
+ "evidence": "evidence/acceptance-budget.json",
+ "use": "Compare local repair costs and identify the limiting complex or BIT branch."
+ }
+ ],
+ "report_title": "Observer Limits and Physical Costs in Native Constructions",
+ "conditional_budget_evidence": {
+ "path": "evidence/acceptance-budget.json",
+ "scope": "Fixed conditional arithmetic with missing physical replacement obligations; numerical settings are retained in the evidence."
+ },
+ "related_pull_requests": [
+ {
+ "pr": 4470,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/4470"
+ },
+ {
+ "pr": 4929,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/4929"
+ },
+ {
+ "pr": 4933,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/4933"
+ },
+ {
+ "pr": 4940,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/4940"
+ },
+ {
+ "pr": 5036,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/5036"
+ },
+ {
+ "pr": 5270,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/5270"
+ },
+ {
+ "pr": 5283,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/5283"
+ },
+ {
+ "pr": 4760,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/4760"
+ },
+ {
+ "pr": 589,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/589"
+ }
+ ],
+ "selected_repository_kappa_at_research_base": "60403/20000000",
+ "selected_repository_kappa_at_submission": "15108879/5000000000",
+ "publication_status": "author_checked_pending_external_review",
+ "submission_replay": "evidence/submission-replay.json"
+}
diff --git a/research/filtered-native-kappa004/SOURCES.json b/research/filtered-native-kappa004/SOURCES.json
new file mode 100644
index 0000000000..01e9e7b438
--- /dev/null
+++ b/research/filtered-native-kappa004/SOURCES.json
@@ -0,0 +1,204 @@
+{
+ "format": "archive-based-scoped-research-continuation-v1",
+ "base_commit": "7c472563474e60185e6ca101a17622133d047e56",
+ "canonical_remote": "https://github.com/CrocSwap/integer-mult-bounds",
+ "refresh_utc": "2026-10-23 20:05 UTC",
+ "guidance_delta": "No changes from pinned base in AGENTS.md, autoresearch.md, CONTRIBUTING.md, current-priorities.md, research-family-status.md or selected-result.json",
+ "original_archive": {
+ "name": "integer_mult_filtered_native_implementation_2026-10-23.tar.gz",
+ "bytes": 11049074,
+ "sha256": "595f988e748b1f3b25e7525a226da173966e4278a70f511b2919245cec1b45f7",
+ "source": "User-provided ~/Downloads/004-packet; upstream and prior author notices retained in full original archive",
+ "path": "inputs/original-packet.tar.gz"
+ },
+ "repository_dependencies": [
+ {
+ "path": "research/higher-moment-strictification/verify.py",
+ "git_blob": "4b24a5096154736ce060474eb8c72dc64c303699",
+ "sha256": "0ce7e7137422d5ffeda22085c81fa88471bbe963100fdad62e659f1e3bf89326",
+ "usage": "unchanged arithmetic engine"
+ },
+ {
+ "path": "research/pr4359-p7-padding/dependencies/compiler-refill/endpoint.py",
+ "git_blob": "340e1f0ffb8a1a9c38fbbd9119580b6d23e01b59",
+ "sha256": "d097e55f06c3f244f2074ffd7c1a0a5f3c4b4b6a6accf9619d1dde5c0ae85e15",
+ "usage": "unchanged outer-ledger engine"
+ }
+ ],
+ "selected_result_provenance": {
+ "path": "certificates/selected-result.json",
+ "kappa": "60403/20000000",
+ "sha256": "6fe0a099b89aa2aed796a13c3a21dafc63f3388ebf397464e44e0451893b9375"
+ },
+ "external_draft": {
+ "pr": 5270,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/5270",
+ "head": "df9e5037587ce0cfbd23c2a944515526b301e820",
+ "is_draft": true,
+ "local_copies": [
+ {
+ "path": "inputs/pr5270_p19_word.py",
+ "sha256": "305acd8258d6615a0d55533d8b876561311741e8e674da7e56123cc61ab28f29"
+ },
+ {
+ "path": "inputs/pr5270_physical_gauge_lift.py",
+ "sha256": "8dc4cb463902a94cc1e6a9c86d780c96f115efb7afb66634637a3b57934c5156"
+ }
+ ],
+ "original_paths": [
+ "research/coded-reverse-word-p19/p19_word.py",
+ "research/coded-reverse-word-p19/physical_gauge_lift.py"
+ ]
+ },
+ "environment": {
+ "os": "macOS-26.5.1-arm64-arm-64bit-Mach-O",
+ "python": "3.11.11",
+ "numpy": "1.26.4",
+ "scipy": "1.15.3",
+ "torch_optional": "2.8.0.dev20250501",
+ "local_interpreter": "/opt/local/bin/python3",
+ "document_renderer_optional": "markdown-it-py==3.0.0"
+ },
+ "optional_discovery_commands": [
+ [
+ "python3",
+ "-B",
+ "feedback_search.py",
+ "--packet",
+ "PACKET",
+ "--scratch",
+ "1",
+ "--steps",
+ "700",
+ "--seconds",
+ "140"
+ ],
+ [
+ "python3",
+ "-B",
+ "feedback_search.py",
+ "--packet",
+ "PACKET",
+ "--scratch",
+ "2",
+ "--internal",
+ "--steps",
+ "700",
+ "--seconds",
+ "180"
+ ],
+ [
+ "python3",
+ "-B",
+ "observer_milp.py",
+ "--mode",
+ "MODE",
+ "--maximum-cost",
+ "8",
+ "--seconds",
+ "30"
+ ],
+ [
+ "python3",
+ "-B",
+ "observer_milp.py",
+ "--mode",
+ "0",
+ "--maximum-cost",
+ "9",
+ "--seconds",
+ "45"
+ ]
+ ],
+ "unrun_obligations": [
+ "No endpoint-preserving center replacement word for complex or BIT",
+ "No new all-width physical operator proof",
+ "No new precision/tape closure",
+ "No formal Lean or Docker replay",
+ "No unrestricted observer/feedback lower bound"
+ ],
+ "attribution": "Existing recovered-packet, repository, and vendored-PR notices remain in force. New continuation: substantial OpenAI Codex assistance, Apache-2.0.",
+ "refreshed_canonical_head": "7c472563474e60185e6ca101a17622133d047e56",
+ "report_revision": {
+ "date": "2026-10-23",
+ "title": "Observer Limits and Physical Costs in Native Constructions",
+ "purpose": "Thematic account of observer limits and physical costs, with direct related-PR links.",
+ "scientific_scope_changed": false,
+ "numerical_parameters": "Retained in original executable evidence, omitted from report prose.",
+ "related_pull_requests": [
+ {
+ "pr": 4470,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/4470"
+ },
+ {
+ "pr": 4929,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/4929"
+ },
+ {
+ "pr": 4933,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/4933"
+ },
+ {
+ "pr": 4940,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/4940"
+ },
+ {
+ "pr": 5036,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/5036"
+ },
+ {
+ "pr": 5270,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/5270"
+ },
+ {
+ "pr": 5283,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/5283"
+ },
+ {
+ "pr": 4760,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/4760"
+ },
+ {
+ "pr": 589,
+ "url": "https://github.com/CrocSwap/integer-mult-bounds/pull/589"
+ }
+ ]
+ },
+ "submission_checkpoint": {
+ "upstream_commit": "1ec1119972c9aefe42525172d07b332fcff81cb4",
+ "priority_revision": 7,
+ "checked_at_utc": "2026-10-23T20:44:14.980742+00:00",
+ "selected_kappa": "15108879/5000000000",
+ "selected_source_prs": [
+ 4610,
+ 5241
+ ],
+ "scientific_base_retained": "7c472563474e60185e6ca101a17622133d047e56",
+ "decision": "Retain frozen source words and exact arithmetic dependencies; publish scoped findings without a selected-frontier change.",
+ "overlap_coverage": {
+ "local": {
+ "head": "7c472563474e60185e6ca101a17622133d047e56",
+ "records": 7269,
+ "head_records": 7267,
+ "complete_head_inventory": true,
+ "unsearched_head_paths": []
+ },
+ "open_prs": {
+ "fetched_at": "2026-10-23T20:40:20.370510+00:00",
+ "complete_pagination": true,
+ "records": 329
+ },
+ "discussions": {
+ "fetched_at": "2026-10-23T20:41:29.545910+00:00",
+ "complete_pagination": true,
+ "records": 4669
+ }
+ },
+ "overlap_warnings": [],
+ "nearest_related_discussions": [
+ 4930,
+ 5355
+ ],
+ "overlap_distinction": "Following-query physical support and the changed-source observer quotient; no claim to repeat prior clean-word cache screens or re-prove the coded p16 caller."
+ }
+}
diff --git a/research/filtered-native-kappa004/SUBMISSION.json b/research/filtered-native-kappa004/SUBMISSION.json
new file mode 100644
index 0000000000..0631736aac
--- /dev/null
+++ b/research/filtered-native-kappa004/SUBMISSION.json
@@ -0,0 +1,80 @@
+{
+ "status": "PREPARED_FOR_PUBLIC_REVIEW",
+ "new_kappa_claimed": false,
+ "scope": "Exact scoped observer/history findings and limited searches; no new supplier or multiplication theorem.",
+ "checkpoint": {
+ "upstream_commit": "1ec1119972c9aefe42525172d07b332fcff81cb4",
+ "priority_revision": 7,
+ "checked_at_utc": "2026-10-23T20:44:14.980742+00:00",
+ "selected_kappa": "15108879/5000000000",
+ "selected_source_prs": [
+ 4610,
+ 5241
+ ],
+ "scientific_base_retained": "7c472563474e60185e6ca101a17622133d047e56",
+ "decision": "Retain frozen source words and exact arithmetic dependencies; publish scoped findings without a selected-frontier change.",
+ "overlap_coverage": {
+ "local": {
+ "head": "7c472563474e60185e6ca101a17622133d047e56",
+ "records": 7269,
+ "head_records": 7267,
+ "complete_head_inventory": true,
+ "unsearched_head_paths": []
+ },
+ "open_prs": {
+ "fetched_at": "2026-10-23T20:40:20.370510+00:00",
+ "complete_pagination": true,
+ "records": 329
+ },
+ "discussions": {
+ "fetched_at": "2026-10-23T20:41:29.545910+00:00",
+ "complete_pagination": true,
+ "records": 4669
+ }
+ },
+ "overlap_warnings": [],
+ "nearest_related_discussions": [
+ 4930,
+ 5355
+ ],
+ "overlap_distinction": "Following-query physical support and the changed-source observer quotient; no claim to repeat prior clean-word cache screens or re-prove the coded p16 caller."
+ },
+ "replay_packaging_change": "Bundle the unchanged predecessor archive and prefer that package-local archive by default; retain the standalone-export fallback.",
+ "archive_sha256": "595f988e748b1f3b25e7525a226da173966e4278a70f511b2919245cec1b45f7",
+ "archive_bytes": 11049074,
+ "document_generator": "render_report.py",
+ "verification_command": [
+ "python3",
+ "-B",
+ "research/filtered-native-kappa004/verify_continuation.py"
+ ],
+ "unrun_at_submission": [
+ "No repeated predecessor historical replay; its prior fourteen-check receipt is retained.",
+ "No repeat of numerical feedback optimization or bounded MILP search.",
+ "No Lean/Docker or selected-frontier theorem replay."
+ ],
+ "validation": {
+ "status": "PASS_SCOPED_CONTINUATION_NO_NEW_KAPPA",
+ "receipt": "evidence/submission-replay.json",
+ "environment": "Fresh Python 3.11 venv with no third-party packages",
+ "commands_passed": 9,
+ "tested_manifest_sha256": "d00b374ef4d2606395107f2ca4f655ff6a8380ad78f5606151b0422cbec8493c",
+ "tested_executable_and_input_sha256": {
+ "acceptance_budget.py": "f683d20c977c4557540074f83f4e1c334ed91956eb4fa3491f857e9f71bf65aa",
+ "exact_pair_check.py": "a3739c61a33a3765f5928ea26ca101dcbc70d7f5e1ae3271cda3f7d6e087e978",
+ "feedback_search.py": "9fafd822cb081dc3d21cf9b44e5e95424a32ddc221b2825a68185a20fd1e47e0",
+ "history_grade_probe.py": "347f2f04be861a907829ad0b1d2f6409b6a7aeb25ee3dadffdf4920e46586803",
+ "independent_budget_check.py": "4255581da69e032964ae2d5e56a65401dbb4d1478d02626866ded3137139ff11",
+ "inputs/original-packet.tar.gz": "595f988e748b1f3b25e7525a226da173966e4278a70f511b2919245cec1b45f7",
+ "inputs/pr5270_p19_word.py": "305acd8258d6615a0d55533d8b876561311741e8e674da7e56123cc61ab28f29",
+ "inputs/pr5270_physical_gauge_lift.py": "8dc4cb463902a94cc1e6a9c86d780c96f115efb7afb66634637a3b57934c5156",
+ "observer_milp.py": "47287928388c93a0a6cff8ed295947e92c8f59743082d29e7e51680ee464ab9d",
+ "observer_probe.py": "fc9805dfcf4f35be84e6a5ab6d0a0934653aa9aeade2905b86aa26031ba943bb",
+ "paired_observer_probe.py": "18db7e7b570c83c6f37a56c5e842bdf99d894730889799191564394671b3866a",
+ "render_report.py": "a2d1a861952f94312d0e888d8cfca35f3935f57a2874eb74aea6700d04b94075",
+ "repeated_head_probe.py": "63abeb2b0beb128165d1e31283cbe6335a7cee260774b94e01ff4cb1fb40324b",
+ "snapshot_probe.py": "cd5dd29f62698432f5c7762faf35581c65b4ed7d446e1a9ea98f8e3e1968d033",
+ "verify_continuation.py": "e630b6d29bb29b62c9400e49a5984ff627f5ede5713cee290b0941f07f949f6b"
+ }
+ }
+}
diff --git a/research/filtered-native-kappa004/TASK.json b/research/filtered-native-kappa004/TASK.json
new file mode 100644
index 0000000000..55d8bcda44
--- /dev/null
+++ b/research/filtered-native-kappa004/TASK.json
@@ -0,0 +1,90 @@
+{
+ "assignment": "Develop the recovered filtered-native construction toward kappa >= 0.004, starting with its proposed directions and considering repository mechanisms and literature.",
+ "scope_status": "refined",
+ "scope_change_reason": "Present reusable observer and physical-cost findings, scope their exclusions, and connect them to linked repository contributions. Numerical certificates and original assignment remain historical provenance.",
+ "session_budget_minutes": 60,
+ "outcome": "REUSABLE_SCOPED_FINDINGS_NO_NEW_KAPPA",
+ "new_kappa_claimed": false,
+ "selected_frontier_unchanged": true,
+ "publication_status": "prepared_for_pull_request",
+ "evidence": "RESULTS.json",
+ "open_next_questions": [
+ {
+ "question": "Can noisy observations feed later paid native jobs?",
+ "why_it_matters": "End-only individually clean observations exceed the removed cost.",
+ "first_step": "Inject a selected observer before a later climb and replay all arbitrary columns and phases.",
+ "blocked_by": [
+ "chronological physical repair word",
+ "complete paid and ordinary invoice"
+ ]
+ },
+ {
+ "question": "Which BIT changes would complement a proposed complex gain?",
+ "why_it_matters": "The limiting complex or BIT branch can prevent a local improvement from increasing the joint kappa.",
+ "first_step": "Build the analogous BIT changed-source DAG and lower-frame quotient, then evaluate both branches against a proposed joint saving.",
+ "blocked_by": [
+ "BIT endpoint-preserving program",
+ "complete global Q adaptation cost"
+ ]
+ },
+ {
+ "question": "Can broader observer or feedback grammars recover the missing modes?",
+ "why_it_matters": "Owned banks can supply a wider grammar than passive observers.",
+ "first_step": "Test changed contacts, earlier timing or more than two contact frames; reconstruct surviving candidates exactly.",
+ "blocked_by": [
+ "128-sector hit",
+ "phase-aware full replay",
+ "ordinary restoration tariff"
+ ]
+ },
+ {
+ "question": "Can PR5270 supply genuinely independent fresh stages?",
+ "why_it_matters": "Repeated-axis gauge equivalence does not certify the advertised rank profile.",
+ "first_step": "Bind every LETTER and IDLE to literal coordinates and price D-to-R adaptation.",
+ "blocked_by": [
+ "fresh-stage physical word",
+ "complete target and paid recount"
+ ]
+ }
+ ],
+ "report_reframing_request": "Use a thematic title, omit the numerical target from the report, and link related PRs.",
+ "report_title": "Observer Limits and Physical Costs in Native Constructions",
+ "submission_checkpoint": {
+ "upstream_commit": "1ec1119972c9aefe42525172d07b332fcff81cb4",
+ "priority_revision": 7,
+ "checked_at_utc": "2026-10-23T20:44:14.980742+00:00",
+ "selected_kappa": "15108879/5000000000",
+ "selected_source_prs": [
+ 4610,
+ 5241
+ ],
+ "scientific_base_retained": "7c472563474e60185e6ca101a17622133d047e56",
+ "decision": "Retain frozen source words and exact arithmetic dependencies; publish scoped findings without a selected-frontier change.",
+ "overlap_coverage": {
+ "local": {
+ "head": "7c472563474e60185e6ca101a17622133d047e56",
+ "records": 7269,
+ "head_records": 7267,
+ "complete_head_inventory": true,
+ "unsearched_head_paths": []
+ },
+ "open_prs": {
+ "fetched_at": "2026-10-23T20:40:20.370510+00:00",
+ "complete_pagination": true,
+ "records": 329
+ },
+ "discussions": {
+ "fetched_at": "2026-10-23T20:41:29.545910+00:00",
+ "complete_pagination": true,
+ "records": 4669
+ }
+ },
+ "overlap_warnings": [],
+ "nearest_related_discussions": [
+ 4930,
+ 5355
+ ],
+ "overlap_distinction": "Following-query physical support and the changed-source observer quotient; no claim to repeat prior clean-word cache screens or re-prove the coded p16 caller."
+ },
+ "scope_key": "native-observer-limits-and-physical-costs"
+}
diff --git a/research/filtered-native-kappa004/acceptance_budget.py b/research/filtered-native-kappa004/acceptance_budget.py
new file mode 100644
index 0000000000..610039e363
--- /dev/null
+++ b/research/filtered-native-kappa004/acceptance_budget.py
@@ -0,0 +1,172 @@
+#!/usr/bin/env python3
+"""Exact, explicitly unrealized acceptance budget for kappa = 1/250.
+
+Three complex H8 -> H1 and two BIT H7 -> H1 replacements per BACKWARD
+invocation would suffice arithmetically. No such replacement is supplied.
+The final admission gate deliberately rejects this hypothetical construction.
+Apache-2.0; substantial OpenAI Codex assistance. Retained interval/compiler,
+native, controller, delayed-cover and outer authors retain their credit.
+"""
+from collections import Counter
+from fractions import Fraction as Q
+from pathlib import Path
+from hashlib import sha256
+import json
+
+from snapshot_probe import load, need
+
+HERE = Path(__file__).resolve().parent
+ROOT = HERE.parents[1]
+KAPPA = Q(1, 250)
+COMPLEX_LOCAL = {1: 2201, 2: 412, 3: 510, 4: 127, 5: 40, 8: 8}
+BIT_LOCAL = {1: 1323, 2: 1342, 3: 79, 4: 44, 5: 102, 6: 11, 7: 19}
+
+
+def encode(x):
+ if isinstance(x, Q):
+ return str(x)
+ if isinstance(x, dict):
+ return {str(k): encode(v) for k, v in x.items()}
+ if isinstance(x, (tuple, list)):
+ return [encode(v) for v in x]
+ return x
+
+
+def invoice(kind, replacements):
+ ports, block = (112, 8) if kind == 'complex' else (111, 7)
+ helpers = {4: 28, 7: 7, 8: 47, 9: 326} if kind == 'complex' else {8: 439}
+ local = COMPLEX_LOCAL if kind == 'complex' else BIT_LOCAL
+ # Actual p16 call directions: sixteen backward and two forward FULLs.
+ target = Counter({r: 18*n for r, n in helpers.items()})
+ paid = Counter({r: 18*n for r, n in local.items()})
+ paid[1] += 15*ports
+ target[1+18*block] += 2*ports
+ for length in (7, 8):
+ for j in range(1, length+1):
+ target[1+block*(j+1)] += 2*ports
+ paid[block*(j+1)] += 2*ports
+ need(0 <= replacements <= (8 if kind == 'complex' else 9), 'Available centers')
+ paid[block] -= 16*replacements
+ paid[1] += 16*replacements
+ need(all(n >= 0 for n in paid.values()), 'Nonnegative paid inventory')
+ return target, +paid
+
+
+def subtract(a, b):
+ return a[0]-b[1], a[1]-b[0]
+
+
+def moment_margin(E, kind, replacements, saving):
+ t, p = invoice(kind, replacements)
+ return subtract(E.moment(t, 1-saving), E.moment(p, 1-saving))
+
+
+def logarithmic_compiler(E, ambient, tested, uniform, cutoff, floor):
+ v, theta, exponent = 1024, Q(63, 64), 2000
+ # The retained elementary exp kernel has an explicit |argument| < 16
+ # contract. Range-reduce here instead of weakening that source guard.
+ def wide_power(a):
+ reduced = a
+ squares = 0
+ while abs(reduced)*E.log_bounds(ambient)[1] >= 8:
+ reduced /= 2
+ squares += 1
+ result = E.power(ambient, reduced)
+ for _ in range(squares):
+ result = E.mul(result, result)
+ return result
+ eta = E.scale(wide_power(-v*tested), 1-tested)
+ need(cutoff**64 < floor**63, 'Strict paid/target rank separation')
+ need(2*(cutoff**v)**64 <= (ambient**v)**63, 'Shifted exit bound')
+ need(eta[0] > theta**exponent, 'Logarithmic complement capacity')
+ need(wide_power(v*tested)[1] < 2**exponent, 'Initial ordinary range')
+ gap = tested-uniform
+ need(gap.numerator == 1, 'Integer rank grid')
+ step = gap.denominator
+
+ def passes(j):
+ return (step*j+1)**exponent < 2**j
+
+ lo, hi = 1, 2
+ while not passes(hi):
+ lo, hi = hi, 2*hi
+ while hi-lo > 1:
+ mid = (hi+lo)//2
+ if passes(mid):
+ hi = mid
+ else:
+ lo = mid
+ need(passes(hi) and not passes(hi-1), 'Exact compiler threshold')
+ return {'ambient_base': ambient, 'logarithm_power': exponent, 'gap': gap,
+ 'H': step*hi, 'uniform_N': '2^'+str(step*hi), 'eta': E.display(eta),
+ 'winning_uniform_word_materialized': False}
+
+
+def tail(E, kind, replacements, tested, uniform, cutoff, floor):
+ t, p = invoice(kind, replacements)
+ target = E.moment(t, 1-tested)
+ alpha = E.divide(E.moment(p, 1-tested), target)
+ gamma = E.divide(E.moment(p, 1-tested+Q(1, 5)), E.mul(E.power(cutoff, Q(1, 5)), target))
+ delta = E.divide((Q(sum(t.values())*floor),)*2, E.mul(E.power(cutoff, tested), target))
+ need(alpha[1] < 1-Q(1, 1000000), 'Strict raw moment gap')
+ need(gamma[1] < Q(97, 100) and delta[1] < Q(97, 100), 'Both charged tails')
+ need(Q(97, 100)**128 < Q(1, 16), 'Tail decay block')
+ complete = 1/(1+1024*Q(1, 1000000))+Q(4, 2**32)
+ need(complete < 1, 'Original and completion tails both included')
+ return {'tested': tested, 'uniform': uniform, 'targets': t, 'paid': p,
+ 'alpha': E.display(alpha), 'gamma': E.display(gamma), 'delta': E.display(delta),
+ 'tensor_power': 1024, 'cutoff': cutoff, 'floor': floor,
+ 'complete_normalized_paid_upper': complete,
+ 'compiler': logarithmic_compiler(E, 145 if kind == 'complex' else 127,
+ tested, uniform, cutoff, floor)}
+
+
+def main():
+ E = load('k004_exact_intervals', ROOT/'research/higher-moment-strictification/verify.py')
+ O = load('k004_outer_ledger', ROOT/'research/pr4359-p7-padding/dependencies/compiler-refill/endpoint.py')
+ tested, d = Q('0.00405'), Q(1, 140000)
+ complex_uniform = KAPPA+6*d
+ rows = {}
+ for kind, min_count in (('complex', 3), ('bit', 2)):
+ margins = {str(n): E.display(moment_margin(E, kind, n, KAPPA)) for n in range(5)}
+ need(moment_margin(E, kind, min_count-1, KAPPA)[1] < 0, 'One fewer center fails: '+kind)
+ need(moment_margin(E, kind, min_count, KAPPA)[0] > 0, 'Sufficient center budget: '+kind)
+ rows[kind] = {'hypothetical_centers_per_backward_call': min_count,
+ 'raw_margins_at_kappa_004': margins}
+ c = tail(E, 'complex', 3, tested, complex_uniform, 20, 21)
+ b = tail(E, 'bit', 2, Q('.0041'), Q('.00409'), 17, 18)
+ before, after, atom, old = Q('.00409'), Q('.00408'), Q('.005'), Q('.0000384599')
+ ordinary, admitted = (1-atom)*after+atom*old, Q('.00405')
+ need(before > after and atom > ordinary > admitted and atom < 1-ordinary, 'Ordinary BIT admission')
+ need(2**26 > 256/(before-after), 'Delayed-cover prime coefficient')
+ params = {'kappa': KAPPA, 'tested_saving': tested, 'complex_uniform_saving': complex_uniform,
+ 'b': KAPPA+5*d, 'a': KAPPA+4*d, 'q': KAPPA+3*d, 'bit_saving': admitted,
+ 'epsilon': 1-d, 'beta': 1-3*d, 'r0': d/10, 'stop': d, 'layout': d, 'd': d}
+ outer = O.ledger(params)
+ outer['functional_checks']['actual_new_BIT_stock_sublinear'] = params['beta']*(1-atom)
+ failures = [k for part in ('strict_checks', 'functional_checks')
+ for k, v in outer[part].items() if v <= 0]
+ need(not failures, 'Strict nine-row outer ledger')
+ # These are real gates: favorable arithmetic never substitutes for a word.
+ obligations = {'complex_replacement_word': False, 'bit_replacement_word': False,
+ 'arbitrary_input_endpoint_replay': False, 'phase_and_all_width_binding': False,
+ 'ordinary_precision_tape_tariff': False}
+ admitted_construction = not failures and all(obligations.values())
+ need(not admitted_construction, 'Unrealized construction is rejected')
+ out = {'status': 'PASS_CONDITIONAL_BUDGET_ONLY_PHYSICAL_CONSTRUCTION_MISSING',
+ 'target_kappa': KAPPA, 'new_kappa_claimed': False,
+ 'cost_model': 'Exact native endpoint and every independent helper preserved; remove selected centers only in the sixteen backward FULLs, and replace each by one H1. Ordinary work is a separate unresolved contract.',
+ 'minimum_replacements_in_this_model': rows, 'complex': c, 'bit': b,
+ 'ordinary_BIT': {'before_cover': before, 'after_cover': after, 'atom': atom,
+ 'ordinary_saving': ordinary, 'admitted': admitted},
+ 'outer_parameters': params, 'outer': outer, 'missing_obligations': obligations,
+ 'admitted_construction': admitted_construction,
+ 'exact_engine_sha256': sha256((ROOT/'research/higher-moment-strictification/verify.py').read_bytes()).hexdigest()}
+ (HERE/'evidence/acceptance-budget.json').write_text(json.dumps(encode(out), indent=2)+'\n')
+ print(json.dumps({'status': out['status'], 'target_kappa': str(KAPPA),
+ 'ordinary_BIT': str(ordinary), 'outer_failures': failures,
+ 'admitted_construction': admitted_construction}))
+
+
+if __name__ == '__main__':
+ main()
diff --git a/research/filtered-native-kappa004/evidence/acceptance-budget.json b/research/filtered-native-kappa004/evidence/acceptance-budget.json
new file mode 100644
index 0000000000..7123c836ca
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/acceptance-budget.json
@@ -0,0 +1,306 @@
+{
+ "status": "PASS_CONDITIONAL_BUDGET_ONLY_PHYSICAL_CONSTRUCTION_MISSING",
+ "target_kappa": "1/250",
+ "new_kappa_claimed": false,
+ "cost_model": "Exact native endpoint and every independent helper preserved; remove selected centers only in the sixteen backward FULLs, and replace each by one H1. Ordinary work is a separate unresolved contract.",
+ "minimum_replacements_in_this_model": {
+ "complex": {
+ "hypothetical_centers_per_backward_call": 3,
+ "raw_margins_at_kappa_004": {
+ "0": {
+ "lower": "-241.323226158433488498278190096112",
+ "upper": "-241.323226158433488498278190096111"
+ },
+ "1": {
+ "lower": "-130.383484623931959287323738836761",
+ "upper": "-130.383484623931959287323738836760"
+ },
+ "2": {
+ "lower": "-19.443743089430430076369287577411",
+ "upper": "-19.443743089430430076369287577410"
+ },
+ "3": {
+ "lower": "91.495998445071099134585163681940",
+ "upper": "91.495998445071099134585163681941"
+ },
+ "4": {
+ "lower": "202.435739979572628345539614941291",
+ "upper": "202.435739979572628345539614941292"
+ }
+ }
+ },
+ "bit": {
+ "hypothetical_centers_per_backward_call": 2,
+ "raw_margins_at_kappa_004": {
+ "0": {
+ "lower": "-115.467200519568013999525488923231",
+ "upper": "-115.467200519568013999525488923230"
+ },
+ "1": {
+ "lower": "-20.335584288513725865890187432563",
+ "upper": "-20.335584288513725865890187432562"
+ },
+ "2": {
+ "lower": "74.796031942540562267745114058106",
+ "upper": "74.796031942540562267745114058107"
+ },
+ "3": {
+ "lower": "169.927648173594850401380415548774",
+ "upper": "169.927648173594850401380415548775"
+ },
+ "4": {
+ "lower": "265.059264404649138535015717039442",
+ "upper": "265.059264404649138535015717039443"
+ }
+ }
+ }
+ },
+ "complex": {
+ "tested": "81/20000",
+ "uniform": "283/70000",
+ "targets": {
+ "4": 504,
+ "7": 126,
+ "8": 846,
+ "9": 5868,
+ "145": 224,
+ "17": 448,
+ "25": 448,
+ "33": 448,
+ "41": 448,
+ "49": 448,
+ "57": 448,
+ "65": 448,
+ "73": 224
+ },
+ "paid": {
+ "1": 41346,
+ "2": 7416,
+ "3": 9180,
+ "4": 2286,
+ "5": 720,
+ "8": 96,
+ "16": 448,
+ "24": 448,
+ "32": 448,
+ "40": 448,
+ "48": 448,
+ "56": 448,
+ "64": 448,
+ "72": 224
+ },
+ "alpha": {
+ "lower": "0.999665264325995209909067956246",
+ "upper": "0.999665264325995209909067956247"
+ },
+ "gamma": {
+ "lower": "0.955528849561035381841601753264",
+ "upper": "0.955528849561035381841601753265"
+ },
+ "delta": {
+ "lower": "0.958839026047728020747947967722",
+ "upper": "0.958839026047728020747947967723"
+ },
+ "tensor_power": 1024,
+ "cutoff": 20,
+ "floor": 21,
+ "complete_normalized_paid_upper": "16777216015641/16794395869184",
+ "compiler": {
+ "ambient_base": 145,
+ "logarithm_power": 2000,
+ "gap": "1/140000",
+ "H": 9270940000,
+ "uniform_N": "2^9270940000",
+ "eta": {
+ "lower": "0.000000001082959354581543749202",
+ "upper": "0.000000001082959354581543749203"
+ },
+ "winning_uniform_word_materialized": false
+ }
+ },
+ "bit": {
+ "tested": "41/10000",
+ "uniform": "409/100000",
+ "targets": {
+ "8": 7902,
+ "127": 222,
+ "15": 444,
+ "22": 444,
+ "29": 444,
+ "36": 444,
+ "43": 444,
+ "50": 444,
+ "57": 444,
+ "64": 222
+ },
+ "paid": {
+ "1": 25511,
+ "2": 24156,
+ "3": 1422,
+ "4": 792,
+ "5": 1836,
+ "6": 198,
+ "7": 310,
+ "14": 444,
+ "21": 444,
+ "28": 444,
+ "35": 444,
+ "42": 444,
+ "49": 444,
+ "56": 444,
+ "63": 222
+ },
+ "alpha": {
+ "lower": "0.999751852172960182049868916508",
+ "upper": "0.999751852172960182049868916509"
+ },
+ "gamma": {
+ "lower": "0.956983180503606246316202340621",
+ "upper": "0.956983180503606246316202340622"
+ },
+ "delta": {
+ "lower": "0.950043216500361450015162915451",
+ "upper": "0.950043216500361450015162915452"
+ },
+ "tensor_power": 1024,
+ "cutoff": 17,
+ "floor": 18,
+ "complete_normalized_paid_upper": "16777216015641/16794395869184",
+ "compiler": {
+ "ambient_base": 127,
+ "logarithm_power": 2000,
+ "gap": "1/100000",
+ "H": 6520500000,
+ "uniform_N": "2^6520500000",
+ "eta": {
+ "lower": "0.000000001464219513353158534941",
+ "upper": "0.000000001464219513353158534942"
+ },
+ "winning_uniform_word_materialized": false
+ }
+ },
+ "ordinary_BIT": {
+ "before_cover": "409/100000",
+ "after_cover": "51/12500",
+ "atom": "1/200",
+ "ordinary_saving": "8119584599/2000000000000",
+ "admitted": "81/20000"
+ },
+ "outer_parameters": {
+ "kappa": "1/250",
+ "tested_saving": "81/20000",
+ "complex_uniform_saving": "283/70000",
+ "b": "113/28000",
+ "a": "141/35000",
+ "q": "563/140000",
+ "bit_saving": "81/20000",
+ "epsilon": "139999/140000",
+ "beta": "139997/140000",
+ "r0": "1/1400000",
+ "stop": "1/140000",
+ "layout": "1/140000",
+ "d": "1/140000"
+ },
+ "outer": {
+ "parameters": {
+ "kappa": "1/250",
+ "tested_saving": "81/20000",
+ "complex_uniform_saving": "283/70000",
+ "b": "113/28000",
+ "a": "141/35000",
+ "q": "563/140000",
+ "bit_saving": "81/20000",
+ "epsilon": "139999/140000",
+ "beta": "139997/140000",
+ "r0": "1/1400000",
+ "stop": "1/140000",
+ "layout": "1/140000",
+ "d": "1/140000",
+ "cap_xi": "17841319437/19600000000",
+ "lambda_": "39839/40000",
+ "lambda_prime": "139437/140000"
+ },
+ "margins": {
+ "main_transform": "78819437/19600000000",
+ "global_coordinate_router": "141/35000",
+ "fused_gaussian": "78958311/19600000000",
+ "group_bit_router": "19774577/4900000000",
+ "group_scans": "69999/70000",
+ "boundary_algebraic_matrix": "78959437/19600000000",
+ "sparse_union_movement": "8041459437/19600000000",
+ "polynomial_products": "139999/140000",
+ "microbox_face_corrections": "2695001/35000"
+ },
+ "strict_checks": {
+ "actual_bit_above_effective": "3/140000",
+ "complex_above_effective": "1/140000",
+ "q_positive": "563/140000",
+ "complex_endpoint": "1/70000",
+ "q_below_effective": "1/140000",
+ "stop_positive": "1/140000",
+ "stop_below_one": "139999/140000",
+ "leaf_saving_above_effective": "27887/3920000000",
+ "q_below_internal": "1/140000",
+ "q_below_leaf": "55887/3920000000",
+ "lambda_above_tau": "1/280000",
+ "lambda_above_sigma": "3/280000",
+ "lambda_above_internal": "1/280000",
+ "lambda_prime_above_lambda": "1/280000",
+ "lambda_prime_above_leaf": "55887/3920000000",
+ "epsilon_positive": "139999/140000",
+ "epsilon_below_one": "1/140000",
+ "cap_above_band": "8041319437/19600000000",
+ "cap_below_cell": "1758540563/19600000000",
+ "group_positive": "139997/140000",
+ "group_below_dimension": "1/70000",
+ "support_router_span": "3/140000",
+ "group_gauge_power_slack": "1758883563/9800000000",
+ "actual_logarithmic_group_guard": "1758890563/9800000000",
+ "global_gamma_power_slack": "9/1400000",
+ "actual_logarithmic_gamma_guard": "1/140000",
+ "alpha_logarithm_absorption": "1/1400000",
+ "group_key_fits_record": "1/70000",
+ "membership_arithmetic_fits_record": "1/140000",
+ "microbox_halo_volume": "11060003/140000",
+ "positive_layout_slack": "1/140000",
+ "short_record_fallback": "27887/28000",
+ "complex_below_one_over_32": "381/14000",
+ "strassen_integer_power_gap": "1951441519231",
+ "theta_positive_polynomial_power": "2",
+ "cap_below_phase_cell_power": "21358680563/19600000000",
+ "halo_covers_generic_inverse_radius": "5",
+ "union_tag_work_per_visit_fits_record": "3/140000",
+ "union_header_fits_record": "3/140000",
+ "source_axis_superpolynomial": "1/140000",
+ "gaussian_above_main": "69437/9800000000",
+ "new_complex_uniform_saving_above_b": "1/140000",
+ "improvement_over_user_baseline": "1134514790400418148631/500000000000000000000000",
+ "new_semantic_guard_with_C1_one": "1/140000",
+ "fine_prime_halo_umbrella": "7/2",
+ "main_transform_above_kappa": "419437/19600000000",
+ "global_coordinate_router_above_kappa": "1/35000",
+ "fused_gaussian_above_kappa": "558311/19600000000",
+ "group_bit_router_above_kappa": "174577/4900000000",
+ "group_scans_above_kappa": "69719/70000",
+ "boundary_algebraic_matrix_above_kappa": "559437/19600000000",
+ "sparse_union_movement_above_kappa": "7963059437/19600000000",
+ "polynomial_products_above_kappa": "139439/140000",
+ "microbox_face_corrections_above_kappa": "2694861/35000"
+ },
+ "functional_checks": {
+ "new_semantic_group_guard": "3/140000",
+ "new_BIT_row_stock_sublinear_in_active_group": "139577009/140000000",
+ "fixed_halo_explicit_metadata_branch": "2695001/35000",
+ "actual_new_BIT_stock_sublinear": "27859403/28000000"
+ }
+ },
+ "missing_obligations": {
+ "complex_replacement_word": false,
+ "bit_replacement_word": false,
+ "arbitrary_input_endpoint_replay": false,
+ "phase_and_all_width_binding": false,
+ "ordinary_precision_tape_tariff": false
+ },
+ "admitted_construction": false,
+ "exact_engine_sha256": "0ce7e7137422d5ffeda22085c81fa88471bbe963100fdad62e659f1e3bf89326"
+}
diff --git a/research/filtered-native-kappa004/evidence/core-replay.json b/research/filtered-native-kappa004/evidence/core-replay.json
new file mode 100644
index 0000000000..981dcb47f0
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/core-replay.json
@@ -0,0 +1,78 @@
+{
+ "status": "PASS_SCOPED_CONTINUATION_NO_NEW_KAPPA",
+ "new_kappa_claimed": false,
+ "admitted_construction": false,
+ "source_manifest_sha256": "8ad5ce6f4bbd24e36ce36fe6adf09c1c28c62d40acb6ed68e2fb07a54119ac5e",
+ "python": "3.11.11 (main, Dec 7 2024, 10:43:09) [Clang 15.0.0 (clang-1500.3.9.4)]",
+ "commands": [
+ {
+ "script": "history_grade_probe.py",
+ "arguments": [
+ "--packet",
+ "/var/folders/y2/rqpdcbzj7_98322kfb3v7_kr0000gq/T/filtered-native-k004-jd502h16/original/filtered_native_implementation"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 2.484,
+ "stdout": "HISTORY 5000 grade evaluations CacheInfo(hits=0, misses=112, maxsize=None, currsize=112) full-rank witnesses 0\nHISTORY 10000 grade evaluations CacheInfo(hits=0, misses=196, maxsize=None, currsize=196) full-rank witnesses 0\nHISTORY 15000 grade evaluations CacheInfo(hits=0, misses=1648, maxsize=None, currsize=1648) full-rank witnesses 0\nHISTORY 20000 grade evaluations CacheInfo(hits=0, misses=2965, maxsize=None, currsize=2965) full-rank witnesses 0\n{\"status\": \"ACTUAL_PHASE_AWARE_NATIVE_HISTORY_SUPPORT_SCREEN\", \"maximum_snapshot_source_grade\": 8, \"unique_physical_source_terms\": 2965, \"support_bound_applicable\": true, \"elapsed_seconds\": 2.203136041003745}\n",
+ "stderr": ""
+ },
+ {
+ "script": "snapshot_probe.py",
+ "arguments": [
+ "--packet",
+ "/var/folders/y2/rqpdcbzj7_98322kfb3v7_kr0000gq/T/filtered-native-k004-jd502h16/original/filtered_native_implementation"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 1.515,
+ "stdout": "snapshots 424\nPORT 0 {'port': 0, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.87\nPORT 1 {'port': 1, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.88\nPORT 2 {'port': 2, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.88\nPORT 3 {'port': 3, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.9\nPORT 4 {'port': 4, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.91\nPORT 5 {'port': 5, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.91\nPORT 6 {'port': 6, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.92\nPORT 7 {'port': 7, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.92\nPORT 8 {'port': 8, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.93\nPORT 9 {'port': 9, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.93\nPORT 10 {'port': 10, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.93\nPORT 11 {'port': 11, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.94\nPORT 12 {'port': 12, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.94\nPORT 13 {'port': 13, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.94\nPORT 14 {'port': 14, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.95\nPORT 15 {'port': 15, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.95\nPORT 16 {'port': 16, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.95\nPORT 17 {'port': 17, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.96\nPORT 18 {'port': 18, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.98\nPORT 19 {'port': 19, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.98\nPORT 20 {'port': 20, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.98\nPORT 21 {'port': 21, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.99\nPORT 22 {'port': 22, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.0\nPORT 23 {'port': 23, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.0\nPORT 24 {'port': 24, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.01\nPORT 25 {'port': 25, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.01\nPORT 26 {'port': 26, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.02\nPORT 27 {'port': 27, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.02\nPORT 28 {'port': 28, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.03\nPORT 29 {'port': 29, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.04\nPORT 30 {'port': 30, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.04\nPORT 31 {'port': 31, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.05\nPORT 32 {'port': 32, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.06\nPORT 33 {'port': 33, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.06\nPORT 34 {'port': 34, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.07\nPORT 35 {'port': 35, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.08\nPORT 36 {'port': 36, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.08\nPORT 37 {'port': 37, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.08\nPORT 38 {'port': 38, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.09\nPORT 39 {'port': 39, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.09\nPORT 40 {'port': 40, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.1\nPORT 41 {'port': 41, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.1\nPORT 42 {'port': 42, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.1\nPORT 43 {'port': 43, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.11\nPORT 44 {'port': 44, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.11\nPORT 45 {'port': 45, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.11\nPORT 46 {'port': 46, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.12\nPORT 47 {'port': 47, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.12\nPORT 48 {'port': 48, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.13\nPORT 49 {'port': 49, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.13\nPORT 50 {'port': 50, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.14\nPORT 51 {'port': 51, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.14\nPORT 52 {'port': 52, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.14\nPORT 53 {'port': 53, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.14\nPORT 54 {'port': 54, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.15\nPORT 55 {'port': 55, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.16\nPORT 56 {'port': 56, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.16\nPORT 57 {'port': 57, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.16\nPORT 58 {'port': 58, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.17\nPORT 59 {'port': 59, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.17\nPORT 60 {'port': 60, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.18\nPORT 61 {'port': 61, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.18\nPORT 62 {'port': 62, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.18\nPORT 63 {'port': 63, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.18\nPORT 64 {'port': 64, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.19\nPORT 65 {'port': 65, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.19\nPORT 66 {'port': 66, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.2\nPORT 67 {'port': 67, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.21\nPORT 68 {'port': 68, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.21\nPORT 69 {'port': 69, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.22\nPORT 70 {'port': 70, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.22\nPORT 71 {'port': 71, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.22\nPORT 72 {'port': 72, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.22\nPORT 73 {'port': 73, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.23\nPORT 74 {'port': 74, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.23\nPORT 75 {'port': 75, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.24\nPORT 76 {'port': 76, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.24\nPORT 77 {'port': 77, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.25\nPORT 78 {'port': 78, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.25\nPORT 79 {'port': 79, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.25\nPORT 80 {'port': 80, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.25\nPORT 81 {'port': 81, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.26\nPORT 82 {'port': 82, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.26\nPORT 83 {'port': 83, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.26\nPORT 84 {'port': 84, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.27\nPORT 85 {'port': 85, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.27\nPORT 86 {'port': 86, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.28\nPORT 87 {'port': 87, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.28\nPORT 88 {'port': 88, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.28\nPORT 89 {'port': 89, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.29\nPORT 90 {'port': 90, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.29\nPORT 91 {'port': 91, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.29\nPORT 92 {'port': 92, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.29\nPORT 93 {'port': 93, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.3\nPORT 94 {'port': 94, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.3\nPORT 95 {'port': 95, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.31\nPORT 96 {'port': 96, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.31\nPORT 97 {'port': 97, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.31\nPORT 98 {'port': 98, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.32\nPORT 99 {'port': 99, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.32\nPORT 100 {'port': 100, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.32\nPORT 101 {'port': 101, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.33\nPORT 102 {'port': 102, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.34\nPORT 103 {'port': 103, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.34\nPORT 104 {'port': 104, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.34\nPORT 105 {'port': 105, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.34\nPORT 106 {'port': 106, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.35\nPORT 107 {'port': 107, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.35\nPORT 108 {'port': 108, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.36\nPORT 109 {'port': 109, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.36\nPORT 110 {'port': 110, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.36\nPORT 111 {'port': 111, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.36\n",
+ "stderr": ""
+ },
+ {
+ "script": "observer_probe.py",
+ "arguments": [
+ "--packet",
+ "/var/folders/y2/rqpdcbzj7_98322kfb3v7_kr0000gq/T/filtered-native-k004-jd502h16/original/filtered_native_implementation"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 29.263,
+ "stdout": "REPLAY 22137 full unique 4868 frames 1001\nFULL_BASIS 482 seconds 11.747563541983254\nFRAME 100 candidates 8 seconds 14.532684999983758\nFRAME 200 candidates 8 seconds 16.300811041961424\nFRAME 300 candidates 8 seconds 17.411950666981284\nFRAME 400 candidates 8 seconds 19.555217666958924\nFRAME 500 candidates 8 seconds 21.534933124959935\nFRAME 600 candidates 8 seconds 23.011849083006382\nFRAME 700 candidates 8 seconds 23.861389708006755\nFRAME 900 candidates 8 seconds 25.334949832991697\nFRAME 1100 candidates 8 seconds 27.192919082997832\nFRAME 1200 candidates 8 seconds 28.37131545797456\n{\"status\": \"NECESSARY_COSTED_LOWER_FRAME_OBSERVER_SCREEN\", \"all_ranks\": {\"0\": {\"contact_frames\": 1, \"candidate_directions\": 8, \"combined_R_mode_rank\": 8, \"one_lift_rank_per_direction\": 9}, \"1\": {\"contact_frames\": 115, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 8}, \"2\": {\"contact_frames\": 169, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 7}, \"3\": {\"contact_frames\": 168, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 6}, \"4\": {\"contact_frames\": 66, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 5}, \"5\": {\"contact_frames\": 46, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 4}, \"6\": {\"contact_frames\": 146, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 3}, \"7\": {\"contact_frames\": 168, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 2}, \"8\": {\"contact_frames\": 122, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 1}}, \"candidate_count\": 8, \"minimum_individually_clean_lift_rank_mass\": 72, \"recovered_mode_dimension\": 8, \"elapsed_seconds\": 28.881510582985356}\n",
+ "stderr": ""
+ },
+ {
+ "script": "paired_observer_probe.py",
+ "arguments": [
+ "--packet",
+ "/var/folders/y2/rqpdcbzj7_98322kfb3v7_kr0000gq/T/filtered-native-k004-jd502h16/original/filtered_native_implementation"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 0.299,
+ "stdout": "{\"status\": \"PAIRED_NOISY_OBSERVATION_SCREEN\", \"prime\": 65537, \"input_sha256\": \"9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44\", \"frames\": 428, \"pairs_tested_by_total_lift_rank\": {\"2\": 6441, \"3\": 19152, \"4\": 30672}, \"modular_hits\": 0, \"scope\": \"Fixed-vector augmentation; two same-frame gathers lifted to full, with summed lift rank at most the stated budget. Positive modular hits are rechecked over Q. A negative modular screen is discovery evidence only, not rational infeasibility; a rational positive is still short of the physical operator identity.\", \"new_kappa_claimed\": false, \"elapsed_seconds\": 0.1854645840357989}\n",
+ "stderr": ""
+ },
+ {
+ "script": "acceptance_budget.py",
+ "arguments": [],
+ "returncode": 0,
+ "elapsed_seconds": 0.57,
+ "stdout": "{\"status\": \"PASS_CONDITIONAL_BUDGET_ONLY_PHYSICAL_CONSTRUCTION_MISSING\", \"target_kappa\": \"1/250\", \"ordinary_BIT\": \"8119584599/2000000000000\", \"outer_failures\": [], \"admitted_construction\": false}\n",
+ "stderr": ""
+ },
+ {
+ "script": "independent_budget_check.py",
+ "arguments": [],
+ "returncode": 0,
+ "elapsed_seconds": 2.179,
+ "stdout": "PASS_INDEPENDENT_INTEGER_ROOT_RAW_BUDGET\n",
+ "stderr": ""
+ },
+ {
+ "script": "repeated_head_probe.py",
+ "arguments": [],
+ "returncode": 0,
+ "elapsed_seconds": 0.09,
+ "stdout": "{\"status\": \"REJECT_REPEATED_HEAD_AS_FRESH_STAGE_SUPPLIER\", \"cases\": [{\"pairs\": 2, \"literal_gate_records\": 21, \"recodings\": 9, \"gaussian_axis_support\": [0, 1, 2, 3, 4, 5, 6, 7, 8], \"maximum_literal_active_rank\": 9, \"advertised_maximum_target_rank\": 17, \"literal_middle_idle_field_jobs\": 224, \"literal_middle_idle_rank\": 9, \"invoice_middle_idle_field_jobs\": 0, \"direct_D_to_R_upgrade_rank_one_jobs\": 448, \"optimistic_surplus_after_direct_upgrade_ignoring_all_idles\": -336}, {\"pairs\": 19, \"literal_gate_records\": 259, \"recodings\": 77, \"gaussian_axis_support\": [0, 1, 2, 3, 4, 5, 6, 7, 8], \"maximum_literal_active_rank\": 9, \"advertised_maximum_target_rank\": 153, \"literal_middle_idle_field_jobs\": 4032, \"literal_middle_idle_rank\": 9, \"invoice_middle_idle_field_jobs\": 0, \"direct_D_to_R_upgrade_rank_one_jobs\": 4256, \"optimistic_surplus_after_direct_upgrade_ignoring_all_idles\": -2240}]}\n",
+ "stderr": ""
+ }
+ ],
+ "elapsed_seconds": 37.501
+}
diff --git a/research/filtered-native-kappa004/evidence/exact-pair-check-budget8.json b/research/filtered-native-kappa004/evidence/exact-pair-check-budget8.json
new file mode 100644
index 0000000000..364b25348c
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/exact-pair-check-budget8.json
@@ -0,0 +1,22 @@
+{
+ "status": "PASS_EXACT_TWO_FRAME_QUOTIENT_EXCLUSION",
+ "input_sha256": "9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44",
+ "maximum_total_lift_rank": 8,
+ "frames": 871,
+ "pairs_by_total_lift_rank": {
+ "2": 6441,
+ "3": 19152,
+ "4": 30672,
+ "5": 29430,
+ "6": 24991,
+ "7": 36014,
+ "8": 57591
+ },
+ "rational_exclusions_by_full_modular_minor": 202749,
+ "pairs_checked_by_rational_elimination": 1542,
+ "rational_hits": [],
+ "joint_noise_cancellation_positive_control": true,
+ "scope": "Exact finite-family exclusion in the necessary fixed-vector quotient: two arbitrary same-frame gathers at different contact frames, within the stated total full-lift rank. Not a bound for three or more frames, early feedback, changed source words or arbitrary physical programs.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 1.3312654169858433
+}
diff --git a/research/filtered-native-kappa004/evidence/exact-pair-check.json b/research/filtered-native-kappa004/evidence/exact-pair-check.json
new file mode 100644
index 0000000000..e2667edd4e
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/exact-pair-check.json
@@ -0,0 +1,18 @@
+{
+ "status": "PASS_EXACT_TWO_FRAME_QUOTIENT_EXCLUSION",
+ "input_sha256": "9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44",
+ "maximum_total_lift_rank": 4,
+ "frames": 428,
+ "pairs_by_total_lift_rank": {
+ "2": 6441,
+ "3": 19152,
+ "4": 30672
+ },
+ "rational_exclusions_by_full_modular_minor": 55565,
+ "pairs_checked_by_rational_elimination": 700,
+ "rational_hits": [],
+ "joint_noise_cancellation_positive_control": true,
+ "scope": "Exact finite-family exclusion in the necessary fixed-vector quotient: two arbitrary same-frame gathers at different contact frames, within the stated total full-lift rank. Not a bound for three or more frames, early feedback, changed source words or arbitrary physical programs.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 0.3249320830218494
+}
diff --git a/research/filtered-native-kappa004/evidence/feedback-scratch1.json b/research/filtered-native-kappa004/evidence/feedback-scratch1.json
new file mode 100644
index 0000000000..0c1377f7d3
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/feedback-scratch1.json
@@ -0,0 +1,2387 @@
+{
+ "status": "EXPLORATORY_NUMERICAL_FEEDBACK_SEARCH",
+ "results": [
+ {
+ "scratch_banks": 1,
+ "seed": 0,
+ "adam_iterations": 700,
+ "control_slots": 12,
+ "parameters": 588,
+ "normalized_mean_square_residual": 0.005608742239257191,
+ "maximum_entry_residual": 0.835996265799194,
+ "minimum_control_singular_value": 0.016524304349836795,
+ "numerical_hit": false,
+ "controls": [
+ [
+ [
+ 2.3598382444777295,
+ -1.8793490564823554,
+ 3.364808457808179,
+ 1.0112592680082275,
+ 0.003622369522484059,
+ 0.00044322729642506833,
+ -0.017667713531173506
+ ],
+ [
+ -1.7222090543174902,
+ 0.6117870328693603,
+ -2.573695961815029,
+ -0.20842779629243235,
+ 0.7451198124603888,
+ 0.028834452239128353,
+ -0.034780820087220554
+ ],
+ [
+ -0.22687344580705548,
+ 1.107136557776731,
+ -0.20175790082398878,
+ -0.5152880200031924,
+ 0.5721906007107792,
+ 0.3654274627556745,
+ -0.0005659762281579851
+ ],
+ [
+ -0.1935474167282989,
+ -1.0125796809802612,
+ -0.20102298419141149,
+ -0.6148283064977623,
+ -1.577234833123941,
+ -0.22633446991717185,
+ -0.04522184342886505
+ ],
+ [
+ 0.016400478706650668,
+ -1.476474360887141,
+ 0.172737722622788,
+ 0.6202067015893933,
+ 0.608323583688552,
+ 0.20433280379300983,
+ -0.00026779038909887265
+ ],
+ [
+ 0.01590816597519839,
+ -0.4101797365956851,
+ 1.8528789278357498,
+ 0.16795120108751083,
+ -0.10214715373999156,
+ 0.1661604117471901,
+ 0.004201729337528521
+ ],
+ [
+ 0.0468419827451661,
+ 0.31376542388060946,
+ -2.4924747004014316,
+ -0.11164302789809863,
+ 0.24810909294237118,
+ 0.8065932717533666,
+ -0.08916687060794248
+ ]
+ ],
+ [
+ [
+ -0.009997620990101645,
+ -0.3240709924999582,
+ -0.003126981665173072,
+ 0.004471851241935757,
+ -0.0011533743657389283,
+ 0.0033659736894044523,
+ -0.005520362844115495
+ ],
+ [
+ -0.0013466689523553587,
+ -5.06853251630274e-05,
+ -6.785237082249351e-05,
+ -0.0005514144997078378,
+ -0.0015117492296343926,
+ 5.363965184890625e-06,
+ 0.0005299233079168261
+ ],
+ [
+ 0.0011873492393317355,
+ 0.00018907200469565666,
+ 0.3287994984782695,
+ -0.8059588122131783,
+ -1.2799299580372014,
+ -0.17570342961185645,
+ -0.0471679679281381
+ ],
+ [
+ 0.7895457891076462,
+ -0.00015278909844746423,
+ 0.12449153822081589,
+ -0.5513797760783541,
+ -1.195866800757135,
+ 0.9922394407433968,
+ -1.7332434080493544
+ ],
+ [
+ 1.980052936698571,
+ 0.0002672512801017327,
+ 0.2865950755970427,
+ 0.059127184473946,
+ 0.6365680849593753,
+ 1.2917982272033164,
+ -1.3947448369933213
+ ],
+ [
+ 2.4678114845617944,
+ 1.606347537604253e-05,
+ 1.1240507345106443,
+ -0.315520223173972,
+ 0.025530553294054195,
+ 0.32806023031960563,
+ -1.0515481090272971
+ ],
+ [
+ -2.6143967162579185,
+ 3.880939844842542e-05,
+ -1.1199315483384449,
+ 0.5042209048093796,
+ -0.10416242961835348,
+ -0.1723848214753276,
+ 1.4221966548650968
+ ]
+ ],
+ [
+ [
+ -0.0291641068862534,
+ 0.16285487770854298,
+ -0.06744750573738943,
+ 0.051534534767953,
+ -0.0750434609232256,
+ 0.026280489727396196,
+ -0.009749996032179594
+ ],
+ [
+ -0.033921434467270785,
+ 0.6930504782116611,
+ 0.023744394970304856,
+ -0.014213247552388968,
+ 0.026766666386662967,
+ -0.004746034475337934,
+ 0.010393503427459302
+ ],
+ [
+ -0.00013849689231549772,
+ -0.00015948713492531478,
+ 0.5486868864252248,
+ -0.2404922587772231,
+ -0.4938250297999218,
+ 0.22062624565825506,
+ -0.20651344726139703
+ ],
+ [
+ 0.0004942706395697591,
+ 0.000501764310044037,
+ 0.35974692983119777,
+ 1.2276150195475506,
+ 1.9235793585125356,
+ 1.827010911527203,
+ -2.0572822677200193
+ ],
+ [
+ -0.1462143561007472,
+ 0.23243427215988738,
+ 0.6487216085321467,
+ -0.16612256848768814,
+ -0.2802402468364409,
+ -0.1711279423351009,
+ 0.4079948168734342
+ ],
+ [
+ 0.07419996971229822,
+ -0.3864370152062489,
+ 0.22751205163328048,
+ -0.20581336402224584,
+ 0.2522844856193811,
+ -0.5187092387133705,
+ 0.483463046361117
+ ],
+ [
+ -0.18256735387882828,
+ 0.5355517513464694,
+ -0.4251031992499856,
+ 0.6227466550205374,
+ -0.47400410248380687,
+ 0.9247730738758347,
+ -0.20469843534877938
+ ]
+ ],
+ [
+ [
+ 0.027759678526393713,
+ 0.11598753032148353,
+ -0.027703664280898245,
+ 0.0008776910994903728,
+ 0.04932457818290171,
+ 0.058641589738020874,
+ -0.04993566325631243
+ ],
+ [
+ 0.00942280475897544,
+ 0.08082333580866675,
+ 0.07631539757716649,
+ 0.34939980717433855,
+ 0.0029686590868791374,
+ -0.030381217405237988,
+ 0.01271275361605931
+ ],
+ [
+ 0.12334295949459612,
+ 0.023642816145279178,
+ 1.443018427550952,
+ -0.1543802446082611,
+ 0.07321120595052551,
+ -0.008031201231280474,
+ 0.06269919445472193
+ ],
+ [
+ 0.02368654982213175,
+ -0.15233570238396296,
+ 0.2927725392458145,
+ -0.03399921512052723,
+ -0.02512277558607423,
+ 0.004035883857237608,
+ -0.026124063631054035
+ ],
+ [
+ -0.1751829201822739,
+ -0.09973801091226457,
+ 0.5603320890694526,
+ 0.06539001932334407,
+ -0.3287734558144648,
+ 0.2886197324971517,
+ -0.27391190468965954
+ ],
+ [
+ 0.13614974661820842,
+ 0.06277758041743041,
+ -0.355909505182204,
+ -0.15956654931097639,
+ 0.3457032670268812,
+ -0.5298138578846961,
+ 0.23429655991037732
+ ],
+ [
+ -0.1533953468466073,
+ -0.265325300671719,
+ 1.2045104851012851,
+ 0.08078328450169807,
+ -0.298487325255296,
+ 0.4196977419758477,
+ -0.30405893911537835
+ ]
+ ],
+ [
+ [
+ -0.3936008465645611,
+ -0.2646940065303977,
+ 0.02151867562130523,
+ 0.09367234609051564,
+ -0.013761756031240156,
+ 0.23144569294212505,
+ -0.16745667552819207
+ ],
+ [
+ -0.028964085184869932,
+ -0.08734082417348973,
+ -0.012022367693566759,
+ -0.011781513154368494,
+ -0.04145614940733966,
+ -0.04098644767592161,
+ 0.038198045669677286
+ ],
+ [
+ 0.014173042387443711,
+ 3.138503588570381e-05,
+ -0.21478620976832363,
+ 0.05253425966751348,
+ 0.11400619527789137,
+ -0.18924780059001386,
+ 0.05113778015682248
+ ],
+ [
+ 0.0014057090353955014,
+ 8.283148137702749e-05,
+ -0.08590741201713344,
+ -0.10890846306951325,
+ 0.01790116625518265,
+ 0.059172961157105824,
+ 0.0027913484332484015
+ ],
+ [
+ -0.023109931537113902,
+ 0.10665298740037744,
+ 0.08653784077391478,
+ 0.05192231736062498,
+ -0.38215810348736795,
+ 0.3044459198294113,
+ -0.40067903725129955
+ ],
+ [
+ 0.15980550529241294,
+ -0.05676135860296841,
+ -0.028092086019072832,
+ 0.1072326152538701,
+ -0.004409646506793182,
+ -0.30453947980840257,
+ 0.15836495203884185
+ ],
+ [
+ -0.11303015249664808,
+ -0.017556244802121344,
+ -0.11990517471948293,
+ 0.018892983256586345,
+ -0.25467524350440074,
+ 0.46913151685031595,
+ -0.5150424753739721
+ ]
+ ],
+ [
+ [
+ -0.29874409403170143,
+ -0.09254627525902238,
+ 0.07083336205541783,
+ -0.26907102838597985,
+ 0.09969562143383257,
+ 0.14090737268970477,
+ 0.03542957699545582
+ ],
+ [
+ 0.005203064493682779,
+ -0.11742280918928436,
+ 0.04994170362292982,
+ -0.29361509117190315,
+ -0.0016893387127953816,
+ 0.02472866756121249,
+ 0.10721153514794424
+ ],
+ [
+ 0.098651108700148,
+ -0.0685441200035796,
+ -0.4255834570951656,
+ -0.11470093118233267,
+ 0.11095227324969653,
+ -0.28595093873292105,
+ 0.25476604546465004
+ ],
+ [
+ -0.04383404744175668,
+ 0.3601890449415375,
+ -0.0947275120512682,
+ -0.27155774565204266,
+ 0.018142205040007475,
+ 0.16148754708564123,
+ -0.13716446431170679
+ ],
+ [
+ -0.11978140531050961,
+ -0.07263572735197375,
+ -0.08258309728195355,
+ -0.07338902129096167,
+ -0.42701665579310744,
+ 0.16605896811372736,
+ -0.30817499063216675
+ ],
+ [
+ 0.2154861513123825,
+ -0.022416336064084046,
+ -0.15705339242806524,
+ 0.42577385820845737,
+ 0.1605347044882685,
+ -0.237034909967205,
+ 0.11391254886352264
+ ],
+ [
+ -0.17353356450725585,
+ -0.06857316665712967,
+ 0.04989319859561927,
+ -0.5792117022491271,
+ -0.14402010832280682,
+ 0.17896454984434515,
+ -0.5118610360218159
+ ]
+ ],
+ [
+ [
+ -0.2938960586599008,
+ -0.036704215515723886,
+ -0.020313646918750157,
+ -0.5954947588348619,
+ 0.22512909601963385,
+ -0.4991264274012091,
+ 0.3055945676923175
+ ],
+ [
+ 0.11688174352628876,
+ -0.13486235831113108,
+ 0.0012423969924355127,
+ -0.14091751511107178,
+ 0.047338418560492077,
+ -0.04307572943559484,
+ 0.0646642238865046
+ ],
+ [
+ 0.014103144655408724,
+ -0.017983295509157973,
+ 9.053910843597872e-06,
+ 0.15061777682614944,
+ -0.4703617923475572,
+ -0.019840606994368848,
+ -0.0791592437971581
+ ],
+ [
+ -0.08359962766834773,
+ 0.018977539863235564,
+ -0.0098512793446613,
+ -0.26444096196236977,
+ 0.2589615965301797,
+ 0.3004506533498818,
+ 0.21976052530408102
+ ],
+ [
+ 0.011866459467753181,
+ -0.0399762243299461,
+ 0.059821318174725885,
+ -0.04850118895066119,
+ 0.08068586484935869,
+ 0.016291461342517313,
+ -0.10697675352689326
+ ],
+ [
+ -0.018544472720341442,
+ 0.0024143685066951182,
+ 0.00028483646730190963,
+ -0.23582736181857056,
+ 0.043771459928098146,
+ -0.33548526481738766,
+ 0.46693064450539756
+ ],
+ [
+ -0.12727761753690398,
+ -0.09443299437132326,
+ 0.017876874125504864,
+ -0.20935792066830602,
+ 0.01172708730709382,
+ 0.18965884525826543,
+ -0.24206797557347098
+ ]
+ ],
+ [
+ [
+ -0.30892228700243407,
+ -0.20937930761930423,
+ 0.0012672427639058394,
+ 0.042311488576973595,
+ 0.0736293153680372,
+ -0.2509239281472668,
+ 0.25892255443083423
+ ],
+ [
+ 0.10235481099523928,
+ -0.16630112531470784,
+ 0.00020259237560266616,
+ -0.3857778829857896,
+ 0.01850811960280369,
+ -0.1141522950378272,
+ 0.06275689577104969
+ ],
+ [
+ -0.023533812002491092,
+ 0.0419655282016279,
+ -0.19350015223526454,
+ 0.12871114326787106,
+ -0.005794473440801519,
+ -0.006335507202051,
+ 0.04058533544456829
+ ],
+ [
+ 0.11890757722524761,
+ 0.188625947800083,
+ -0.01931661756507437,
+ 0.04151471937098166,
+ 0.02186977423823883,
+ -0.03996824689841785,
+ -0.04503442099477418
+ ],
+ [
+ 0.0020609688597897874,
+ 0.001591214659368381,
+ -3.5128030144314318e-06,
+ 7.446574024251743e-05,
+ -0.28795307489964733,
+ -0.012978022913475006,
+ -0.02167280845196637
+ ],
+ [
+ -0.15752472490719718,
+ 0.06997555728373442,
+ -5.4366948092927745e-06,
+ 0.00025983505867956927,
+ 0.1678506270197702,
+ -0.4366170613051334,
+ 0.24767673229500353
+ ],
+ [
+ -0.18432823887435906,
+ -0.1352282037542907,
+ -0.012864925567017016,
+ 0.30871498868453645,
+ -0.06898390306089619,
+ -0.07114878849608294,
+ -0.4328054412265028
+ ]
+ ],
+ [
+ [
+ -0.35131571271511386,
+ -0.24466698484151858,
+ 0.033226748158231,
+ -0.1493672555758429,
+ -0.08805788967828533,
+ -0.0636240945759218,
+ 0.1634096506785083
+ ],
+ [
+ 0.03687046742727927,
+ -0.22803503876394432,
+ 0.007023545089619114,
+ 0.11384201742961465,
+ 0.07537280543242812,
+ 0.09650699888928732,
+ 0.07044513021136223
+ ],
+ [
+ 0.021928990624353297,
+ -0.03761806793770829,
+ -0.13367836218368578,
+ -0.045840126130299,
+ 0.4013283582034178,
+ -0.008876352051635584,
+ -0.06447439140206848
+ ],
+ [
+ 0.05340828257026999,
+ -0.028231605246591882,
+ -0.09411122596984896,
+ -0.3935738121621301,
+ -0.0776743332546311,
+ -0.2818964448816918,
+ 0.13741702038675294
+ ],
+ [
+ -0.0005758330218552428,
+ 0.004783271952987766,
+ -0.05884347473719707,
+ 0.043133164136118604,
+ -0.36411112723062133,
+ -0.04956554398690921,
+ 0.003701871451125185
+ ],
+ [
+ -0.08339221590850378,
+ -0.19432690120387874,
+ 0.02403922590395155,
+ 0.1316260545043735,
+ -0.07615740145574593,
+ -0.28026340610547407,
+ 0.12566979981084972
+ ],
+ [
+ -0.272135345057576,
+ -0.13470529545448073,
+ -0.04678710829062939,
+ 0.07488405057576124,
+ 0.3151381710194248,
+ 0.074749599330497,
+ -0.43304965565221964
+ ]
+ ],
+ [
+ [
+ -0.2695023524046958,
+ -0.20001110739484185,
+ 0.0023070148694135993,
+ -0.1269659622372245,
+ -7.567688722863696e-06,
+ 2.8225504189818613e-08,
+ 0.1862713677236595
+ ],
+ [
+ -0.021933962606504598,
+ -0.24656011554710758,
+ 0.06844669930000265,
+ 0.17647730698369873,
+ -5.459640478144938e-06,
+ -9.613351266541342e-08,
+ -0.07212194421926511
+ ],
+ [
+ 0.04401099420327471,
+ -0.01336238915128458,
+ -0.17319823167124065,
+ 0.011442480670730108,
+ -2.08840310167226e-06,
+ 1.9554957142186815e-06,
+ 0.0010360063548023304
+ ],
+ [
+ -0.04398685215104268,
+ -0.01986650540843704,
+ -0.2367476678508205,
+ -0.3469485940110712,
+ 1.1849944978808218e-05,
+ -3.829160988425079e-07,
+ 0.040657356063250175
+ ],
+ [
+ -4.508909673376965e-06,
+ -1.0151823293914135e-05,
+ 1.5922172868485856e-06,
+ 6.5292222420685e-07,
+ -0.01849254354129777,
+ 0.01668543275109323,
+ -4.2707201103823667e-07
+ ],
+ [
+ 4.1358840431627704e-07,
+ -1.0413604750898623e-07,
+ 1.1425093040302262e-05,
+ -1.8974238346238759e-06,
+ 0.017282354749529,
+ 0.0016055593786397735,
+ -1.9539426636402293e-06
+ ],
+ [
+ -0.27007925191017235,
+ -0.4642175463581913,
+ 0.10712709341521186,
+ 0.017274371542057528,
+ -2.4931727906757047e-06,
+ -6.595216505724778e-07,
+ -0.49814829931158855
+ ]
+ ],
+ [
+ [
+ -0.30782993229937733,
+ -0.16018534151045669,
+ -0.06060214143149413,
+ -0.08368678957016644,
+ 0.14612188694405492,
+ 0.1839011109218104,
+ 0.12255724933072241
+ ],
+ [
+ -0.24037637162624204,
+ -0.3390728223590478,
+ 0.009943783934401677,
+ 0.08660041141327468,
+ -0.041254976980241644,
+ 0.11975910878435553,
+ -0.11532055809283044
+ ],
+ [
+ -0.06909815175474919,
+ -0.026821597866652364,
+ -0.19150360330894642,
+ 0.08582287242143953,
+ -0.00022776974220440406,
+ 0.0011134111687656476,
+ -0.020219289703812475
+ ],
+ [
+ -0.10882118916308117,
+ -0.18252875180135864,
+ -0.29971437395324274,
+ -0.10032798360327076,
+ 0.0001703961949840144,
+ 0.0019801687797565545,
+ -0.13743509738194296
+ ],
+ [
+ -0.33560921654524595,
+ -0.029649140149663238,
+ 0.03400481947258315,
+ 0.03657297344118907,
+ -0.13461376618191181,
+ -0.516585664234397,
+ -0.059306736087655916
+ ],
+ [
+ -0.06930501968635511,
+ -0.2334121701916312,
+ 0.008461573592562914,
+ -0.019093628466355605,
+ 0.16636062117397077,
+ -0.13107320661422817,
+ 0.024214625324759483
+ ],
+ [
+ 0.003997387697668579,
+ -1.7629811291801107,
+ 0.0028028789731895354,
+ -0.22064817349185492,
+ 0.05068783371142353,
+ -0.4406213810749348,
+ -0.6820952480741552
+ ]
+ ],
+ [
+ [
+ -0.5113132817823082,
+ -0.009849856580649284,
+ 0.464432764538963,
+ 0.02208092476927036,
+ -0.07769206096293131,
+ -0.03403249241895669,
+ -0.027307115087632967
+ ],
+ [
+ -0.43318311792776,
+ -0.4037833497707282,
+ -0.44665170755404704,
+ 0.028721439744267788,
+ 0.2142534111552146,
+ -0.06495070897602526,
+ 0.005372458858162672
+ ],
+ [
+ 0.26582756685467174,
+ -0.10757113902364888,
+ -0.7018317723335062,
+ 0.016063014785218592,
+ 0.002184930879798436,
+ 0.009043848213302959,
+ 0.09026371988536194
+ ],
+ [
+ 0.2773144022537109,
+ -0.22171036970434846,
+ -0.41073850751640484,
+ -0.40280724436425824,
+ -0.3481651723426973,
+ -0.0031474490257152104,
+ 0.22102961665527288
+ ],
+ [
+ 0.1443498253365349,
+ 0.14883858069370837,
+ 0.1483666392950972,
+ -0.19738578562240086,
+ -0.039188174884849644,
+ 0.20849441148067188,
+ -0.07469436999645758
+ ],
+ [
+ -0.41435670269383845,
+ -0.19925807605240506,
+ 0.14581171032166376,
+ 0.8731073471540035,
+ 0.14911407843528796,
+ 0.019939241569805928,
+ -0.02677854992647904
+ ],
+ [
+ -0.0050045502799071825,
+ -0.018342908205182185,
+ 0.008897779975284898,
+ -0.029439698587503588,
+ -0.022027718555201737,
+ 0.02672773064662392,
+ 0.016656265459391733
+ ]
+ ]
+ ]
+ },
+ {
+ "scratch_banks": 1,
+ "seed": 1,
+ "adam_iterations": 700,
+ "control_slots": 12,
+ "parameters": 588,
+ "normalized_mean_square_residual": 0.014473548523487435,
+ "maximum_entry_residual": 0.7070832250863432,
+ "minimum_control_singular_value": 0.00026471396154113846,
+ "numerical_hit": false,
+ "controls": [
+ [
+ [
+ 0.14553934755319733,
+ -0.8541825273325002,
+ -0.8112998201033287,
+ -1.7539007721887503,
+ -4.1379230263710576e-05,
+ -0.0016138816387503536,
+ 0.02660058938312152
+ ],
+ [
+ 1.2503263942942957,
+ 1.4580731431723173,
+ 3.0246762114741035,
+ -1.8110166246664126,
+ 0.10267022478193259,
+ -1.4179411930040853,
+ 0.009047934195146705
+ ],
+ [
+ -0.013332152037088166,
+ -1.0502886494122505,
+ -0.3383359591851457,
+ 1.1155948419753565,
+ 0.177147156262728,
+ 0.07793479383178548,
+ 0.024734207574096445
+ ],
+ [
+ 0.1643850162568297,
+ -0.6189263153717667,
+ -0.849268280498593,
+ -0.43262617193695474,
+ -0.5455705608807732,
+ 0.909479744379999,
+ -0.004427904311293786
+ ],
+ [
+ 0.07379227927449136,
+ 0.09149010826558371,
+ -0.22048723947877197,
+ -0.13736617823680825,
+ 0.731661055835586,
+ 0.21107455786430285,
+ -0.042715286408009416
+ ],
+ [
+ -0.04983124788645092,
+ 1.092285547451927,
+ 1.084843600789187,
+ -1.1327367307314151,
+ -0.19896008403047372,
+ 0.6365301919076056,
+ 0.06398976593169013
+ ],
+ [
+ -0.0040818552815339556,
+ -0.6833610026148399,
+ -2.0258688937603613,
+ 0.738603253107431,
+ 0.04655756466875873,
+ 0.5771181782022027,
+ 0.007166345261644904
+ ]
+ ],
+ [
+ [
+ -0.014943743001694269,
+ 0.04613358543112645,
+ -0.00013884849507393832,
+ 0.00017300710133853737,
+ 1.5893286345893454e-05,
+ 0.00019388176655881775,
+ 0.00021157867888941043
+ ],
+ [
+ -0.0010249088680334706,
+ -0.00013950702564027346,
+ -0.0005618619461491428,
+ 2.808821210653731e-05,
+ 6.535060219404451e-05,
+ 0.0017174814499952011,
+ -0.00038138573572220607
+ ],
+ [
+ -0.020599804315351886,
+ 0.001986493470099756,
+ 0.2578361096607212,
+ 0.31344839501704347,
+ 0.18156948607704396,
+ -0.20307806916471555,
+ -0.33967427136311396
+ ],
+ [
+ 0.9132235599508777,
+ 0.00018443058837188533,
+ 0.15887173219492506,
+ -0.01861817821857518,
+ 0.026363541840620196,
+ -0.7391164731798241,
+ 1.7861391041560464
+ ],
+ [
+ 3.4514541187853385,
+ 3.2968968507103435e-05,
+ -0.07381202326838318,
+ 0.37225306621899684,
+ -0.09841960325673343,
+ -1.191189344593627,
+ 1.8949391071350494
+ ],
+ [
+ 0.014465183221164678,
+ 0.000663588628283138,
+ 0.3660146909463641,
+ -0.2772055266897183,
+ -0.21444953923535523,
+ 0.1902343660513674,
+ -0.8954799584946043
+ ],
+ [
+ -4.18621929666355,
+ -3.312413475422821e-05,
+ -0.2315710023087044,
+ -1.1522091455226582,
+ 0.6083650293453838,
+ 1.2570301679930398,
+ -2.376964943774095
+ ]
+ ],
+ [
+ [
+ -0.03180592839813645,
+ -0.11217595308830984,
+ -0.027824133080979595,
+ 0.12103857319954484,
+ -0.03901595984671429,
+ 0.1252891593541085,
+ -0.004371742199981177
+ ],
+ [
+ 0.09147917734331262,
+ -0.019888646189144737,
+ -0.03137558453469146,
+ 0.007943419138308537,
+ -0.06919407808752437,
+ -0.01479789291259861,
+ -0.055319835073337965
+ ],
+ [
+ 2.7938617008932396e-05,
+ 2.3436928675987335e-05,
+ 0.294626783536371,
+ -0.01956272571920759,
+ -0.15987571080421903,
+ 0.1276560796230192,
+ -0.14022824599103884
+ ],
+ [
+ -9.086769909251215e-06,
+ -4.723155076428316e-05,
+ -0.12909266993272037,
+ 1.0115160946200954,
+ 1.660209766508074,
+ -1.5877618628143666,
+ -2.102384930034767
+ ],
+ [
+ -0.0149887898737307,
+ 0.16065752363870128,
+ 0.5767305449774559,
+ -0.5544575157314809,
+ 0.1975771825621122,
+ -0.21553818123186153,
+ 0.8599733625445553
+ ],
+ [
+ 0.00866983352528028,
+ 0.015908812488824347,
+ 0.010939707765109132,
+ 0.7744206683952087,
+ 0.18051640498406382,
+ -0.04874009498077456,
+ 0.32220607314829186
+ ],
+ [
+ -0.14677152238182728,
+ 0.05470891826678515,
+ -0.015281962114589825,
+ -0.18055851081079985,
+ -0.07043831904473795,
+ -0.23244263165102608,
+ -1.098649850932896
+ ]
+ ],
+ [
+ [
+ 0.018660030591416774,
+ 0.06695864910682935,
+ -0.01810944156678946,
+ -3.172414426337762e-05,
+ 0.053412589957831574,
+ -0.13701386845473623,
+ -0.06701956023033362
+ ],
+ [
+ -0.04489498587524974,
+ 0.01931845067531061,
+ 0.32434008433633105,
+ 0.09397629372299988,
+ 0.048502578697031166,
+ 0.045640419779873834,
+ 0.05733575726192343
+ ],
+ [
+ 0.16677174118771848,
+ -0.06505004548124318,
+ 0.28699153610208844,
+ 0.23522461272635573,
+ 0.03367232333655052,
+ -0.027207634079118224,
+ 0.12539333656755133
+ ],
+ [
+ 0.05888466145092342,
+ 0.05566901680337933,
+ -0.29461181269091663,
+ 0.06086507287818312,
+ -0.19600194135010204,
+ 0.11077801556764774,
+ 0.0053078368957007885
+ ],
+ [
+ 0.005889106375311952,
+ -0.1481103444688329,
+ -0.35776427034697966,
+ -0.08356740061772241,
+ -0.00817758158899518,
+ -0.13595817392530724,
+ 0.014657436790929247
+ ],
+ [
+ -0.08573627374237529,
+ 0.09902686542270094,
+ 0.5073729646780174,
+ -0.2464184994417992,
+ -0.0009607267570595782,
+ -0.0050476654870342695,
+ -0.07285850447984882
+ ],
+ [
+ -0.06078737548693452,
+ 0.30331307348668624,
+ 0.7070484545134074,
+ -0.2770107561643317,
+ -0.37999903023522674,
+ 0.2232430313087135,
+ -0.29619221590167255
+ ]
+ ],
+ [
+ [
+ -0.3228103038351007,
+ 0.20080717677299756,
+ 0.05535409077797452,
+ 0.1805434861240571,
+ 0.6134475904949688,
+ -0.20770777974791008,
+ 0.2317290067418429
+ ],
+ [
+ -0.0415283702141118,
+ -0.014309533334402953,
+ -0.01066869465621693,
+ -0.023294171817949367,
+ -0.04962777395256281,
+ 0.009674056945588493,
+ 0.0251431302217845
+ ],
+ [
+ -0.0058882912755677695,
+ 0.0004356810270815469,
+ -0.005888488324761663,
+ 0.13265059842223945,
+ 0.03710985571542289,
+ 0.013982347958723962,
+ 0.1308812231776527
+ ],
+ [
+ -0.0009703164685299188,
+ 0.0007432792640586462,
+ 0.024542562028243363,
+ -0.07503825338161928,
+ 0.06112668042854158,
+ -0.12210519209318166,
+ -0.1676225074697492
+ ],
+ [
+ -0.019718679090091732,
+ 0.024094878345307335,
+ 0.14142968342192466,
+ 0.07809710852478557,
+ -0.3611457306803361,
+ 0.10582029149213099,
+ -0.07735185466459696
+ ],
+ [
+ 0.01773456910494751,
+ -0.3690222929893346,
+ -0.1227261487134483,
+ -0.026360234084999535,
+ -0.30741852895601807,
+ -0.32657860572817454,
+ -0.12834647458495396
+ ],
+ [
+ 0.03185232482822048,
+ -0.0725883983847689,
+ -0.08228195383751014,
+ -0.22710851257574788,
+ -0.493910523047448,
+ -0.5098903316446061,
+ -0.5413507748599006
+ ]
+ ],
+ [
+ [
+ -0.29595962362290407,
+ 0.20710257007495209,
+ -0.37538552669763775,
+ -0.13055518417535433,
+ -0.0565789664757166,
+ 0.18684280160702244,
+ -0.2596321196461092
+ ],
+ [
+ -0.07027585910078187,
+ 0.012496260584307197,
+ -0.09068188188087499,
+ -0.000891253563386146,
+ 0.049993940706963225,
+ -0.1186648692182613,
+ 0.03180415167374523
+ ],
+ [
+ -0.08899211846940532,
+ 0.24006394802694897,
+ -0.4189577009600784,
+ -0.05460721162098823,
+ 0.05200018481988636,
+ -0.051420854819669494,
+ -0.01002426742511114
+ ],
+ [
+ 0.02070836853604429,
+ 0.13230102083164444,
+ 0.053095380290537786,
+ -0.15560247573317643,
+ -0.04579235186902462,
+ -0.06959390354899708,
+ -0.08821661986559792
+ ],
+ [
+ 0.10711941859684251,
+ -0.04617844016459515,
+ -0.018259970493476753,
+ -0.009861104802721652,
+ -0.22015347620135886,
+ 0.2756992036782429,
+ -0.0050090054406006146
+ ],
+ [
+ 0.07023177749647341,
+ -0.06112497222743857,
+ -0.015748533750188667,
+ 0.0013476578818494265,
+ -0.19497692633151162,
+ -0.5229305365472945,
+ -0.2641846730280499
+ ],
+ [
+ 0.044387033844251654,
+ -0.11648993941576045,
+ -0.08547970484598863,
+ 0.023641148791027303,
+ 0.2568468496925782,
+ -0.3470122782361854,
+ -0.39713516477465743
+ ]
+ ],
+ [
+ [
+ -0.2275752332586669,
+ 0.22392327050959066,
+ 0.006510657623738442,
+ 0.0022409682072641927,
+ -0.3013622059952381,
+ -0.2550634681478433,
+ -0.2376670614542413
+ ],
+ [
+ -0.13475190998420172,
+ -0.12537711209604835,
+ -0.001268794041888773,
+ 0.040892428316668644,
+ 0.10324286562345873,
+ 0.05815397407571183,
+ 0.021016153328752594
+ ],
+ [
+ -0.06347699156662018,
+ 0.08511538903293482,
+ -2.787274963229141e-05,
+ -0.15858523199092178,
+ -0.39856140054717876,
+ 0.029811545438219227,
+ -0.038589164694129825
+ ],
+ [
+ 0.004718431836617523,
+ 0.054576680594140566,
+ -0.004408412140116676,
+ -0.09918401606311308,
+ -0.11739517473139421,
+ 0.33163953958340137,
+ -0.1898112527684176
+ ],
+ [
+ -0.06038486666320285,
+ 0.20026897524166973,
+ 0.030011778064762535,
+ 0.03270442397544154,
+ 0.11245717507137712,
+ 0.05453656215213679,
+ -0.1309007477800264
+ ],
+ [
+ -0.005940307079961434,
+ 0.134677471644471,
+ 0.0036478589633894493,
+ -0.10238680445687713,
+ -0.10861753637176705,
+ -0.032562246939136466,
+ -0.36800353387262114
+ ],
+ [
+ 0.06284366304511226,
+ -0.08165869296922369,
+ -0.004956842881699112,
+ 0.32739716281151365,
+ -0.00888841092928819,
+ -0.2885556658553976,
+ -0.5504066113320915
+ ]
+ ],
+ [
+ [
+ -0.2818700871725948,
+ 0.2947594806150852,
+ -0.024561029820192593,
+ 0.4889337506026564,
+ -0.2792334050510974,
+ 0.026133299245919103,
+ -0.24643727057360396
+ ],
+ [
+ -0.03307701768898131,
+ -0.1667847951693279,
+ 0.002010665278303042,
+ 0.33061634287144415,
+ 0.10288589728445476,
+ -0.012112113542237127,
+ 0.016942285507023182
+ ],
+ [
+ 0.02614005988436251,
+ 0.018312938805078883,
+ -0.2795333423682486,
+ -0.2709064599172641,
+ 0.006649557014659177,
+ 0.11102220779198141,
+ 0.18215693054970172
+ ],
+ [
+ 0.038985335639898894,
+ -0.14856807795995614,
+ -0.004471038112422282,
+ 0.11173033439516422,
+ -0.032658004895210195,
+ 0.05890800312926084,
+ 0.08123227310324548
+ ],
+ [
+ -0.05480817739402716,
+ -0.009637906717564489,
+ 2.8605189918935763e-05,
+ -0.00030383134153471995,
+ -0.3420875991050163,
+ 0.007807128149922753,
+ 0.002857120488482834
+ ],
+ [
+ -0.0043892605587590805,
+ 0.036324200981429314,
+ 0.00016248298744711857,
+ 0.00035099991402615273,
+ 0.03122693988361937,
+ -0.3684911165112861,
+ -0.109646875934336
+ ],
+ [
+ -0.07221872915700611,
+ -0.049247607578216474,
+ -0.08161436459383703,
+ -0.2628466769195499,
+ 0.05254024499744696,
+ 0.19966686650508964,
+ -0.6246193243368353
+ ]
+ ],
+ [
+ [
+ -0.2739038358677784,
+ 0.22334048427321063,
+ 0.008290144452371069,
+ -0.09960405541206226,
+ -0.03951541968701943,
+ -0.22411023689511111,
+ -0.10489319406303046
+ ],
+ [
+ -0.10163374218258556,
+ -0.24532477560782667,
+ 0.009743985534727448,
+ -0.04216920975777301,
+ 0.016450652617365894,
+ -0.047867719930372477,
+ 0.11883296388317241
+ ],
+ [
+ -0.005232728258242318,
+ 0.036294467914827426,
+ -0.20038690169376866,
+ -0.17537612794097043,
+ 0.2874012914833656,
+ 0.10838164281602515,
+ -0.17079826582556681
+ ],
+ [
+ -0.02454004611604018,
+ 0.1394545373550269,
+ 0.15384376296230817,
+ -0.36122208920450316,
+ 0.007893665123934338,
+ -0.4178468522943567,
+ -0.3909985042394982
+ ],
+ [
+ 0.0049871322645289136,
+ -0.008427188522792188,
+ -0.11517134891635321,
+ 0.00022156702511135987,
+ -0.26589169545316604,
+ 0.004814945859037044,
+ -0.065195376214753
+ ],
+ [
+ -0.0584629404223914,
+ 0.14833216216357173,
+ -0.02849053478317303,
+ 0.05690491895057846,
+ 0.1292025487251328,
+ -0.2411706877055209,
+ -0.25689445312754844
+ ],
+ [
+ 0.1715927103815996,
+ 0.06117516110975177,
+ -0.03564555311863766,
+ -0.3265813112289479,
+ -0.28726128372202814,
+ -0.2844448237000492,
+ -0.730105239369425
+ ]
+ ],
+ [
+ [
+ -0.22334763187084986,
+ 0.2626888830505402,
+ 0.0019630938089050315,
+ -0.17181467012045698,
+ -7.11286578727276e-05,
+ 4.669398968478791e-06,
+ -0.11636333635425648
+ ],
+ [
+ 0.07648969285323855,
+ -0.3966145854950596,
+ 0.00567259242031791,
+ 0.026541803385923914,
+ -7.280052045548332e-05,
+ -0.0001910076235623053,
+ 0.03874730251154538
+ ],
+ [
+ -0.02636530986553214,
+ -0.032380057693227667,
+ -0.15141883263271705,
+ -0.08551743312833625,
+ 4.463186689071152e-05,
+ -0.00044479049509061074,
+ -0.06892608786866083
+ ],
+ [
+ 0.09499740278242043,
+ -0.011877909157025053,
+ 0.20471046336839258,
+ -0.17774596962718409,
+ -0.00015701440450571652,
+ -0.0006617778444087004,
+ -0.22314988696626079
+ ],
+ [
+ -0.00011479645444585701,
+ -0.000348842348197035,
+ -0.00015888834148259146,
+ 0.0005476559237322105,
+ -0.0579001980188045,
+ -0.05195419019644375,
+ -0.00017758825546698557
+ ],
+ [
+ -6.720349432314699e-05,
+ -6.150382568476603e-05,
+ -0.0001160961818221752,
+ 0.00023622755952377452,
+ 0.026827367377135976,
+ -0.004290374443828155,
+ -0.00016365838369072338
+ ],
+ [
+ 0.22056937002560653,
+ -0.213417597750199,
+ 0.08960856107106854,
+ 0.06447893386476224,
+ -0.0008778450508239495,
+ -0.00151826976354249,
+ -0.49912235237852537
+ ]
+ ],
+ [
+ [
+ -0.24265741345492167,
+ 0.13336677624263668,
+ 0.09055101697680717,
+ -0.19547700755450254,
+ 0.125223886742145,
+ 0.22572156333062715,
+ -0.1566795351224369
+ ],
+ [
+ -0.04332819688175068,
+ -0.33954058423509,
+ 0.05520927021686324,
+ -0.07382134310869934,
+ -0.2840843058606981,
+ -0.211183703645121,
+ 0.01579415046997562
+ ],
+ [
+ -0.05556288661733229,
+ 0.06732594809592751,
+ -0.191285462964334,
+ 0.026363046648432087,
+ 0.0009574817822127978,
+ -0.0004890525526513502,
+ 0.04209685234752806
+ ],
+ [
+ -0.07361173809213158,
+ -0.09949016149214804,
+ 0.2706140498992558,
+ -0.07851024088066537,
+ 0.0015525812599101816,
+ 0.0006634822063322869,
+ -0.13039970394806227
+ ],
+ [
+ -0.1878413218206144,
+ 0.22522813213795365,
+ 0.005853749463959916,
+ 0.017223333801844553,
+ -0.2090644468850903,
+ 0.18102285560581896,
+ 0.04423164792289641
+ ],
+ [
+ 0.11448628109961735,
+ -0.1267549284319781,
+ 0.01162853581956196,
+ 0.002085369320854641,
+ -0.08227400277830287,
+ -0.04825222408175767,
+ 0.04092416294769596
+ ],
+ [
+ 0.0936608883004414,
+ -0.5654282837222023,
+ 0.06237956002515738,
+ 0.13925395551527453,
+ 0.019282804361932027,
+ -0.014464412651488644,
+ -0.3465896190183424
+ ]
+ ],
+ [
+ [
+ -0.4609324018534042,
+ -0.15673889114876352,
+ 0.1232609195539272,
+ -0.19961424533596733,
+ -0.20227647741132151,
+ -0.17814060078660932,
+ -0.03938092482842222
+ ],
+ [
+ -0.22662561438481302,
+ -0.496844842653329,
+ -0.23843065184509185,
+ 0.027510159200384746,
+ 0.06168514697539553,
+ 0.012775715433885934,
+ -0.10736043075439766
+ ],
+ [
+ -0.013384050068779687,
+ -0.34147131899805877,
+ -0.5873079595262786,
+ 0.33432353946886834,
+ 0.2167150460937141,
+ 0.039592659360520165,
+ 0.029494533662155938
+ ],
+ [
+ -0.25895301608562654,
+ -0.14132624723110124,
+ 0.4607858604958471,
+ -0.3767103671869333,
+ 0.40932042301865734,
+ 0.020520107559535063,
+ -0.061471682553190306
+ ],
+ [
+ 0.07772886767598777,
+ -0.009517050121750829,
+ 0.08308757796699619,
+ 0.11728281428517554,
+ 0.08368924331750352,
+ -0.13544796330205766,
+ -0.1266554698839383
+ ],
+ [
+ 0.4659591289762783,
+ -0.4646860412272439,
+ -0.44501495673248675,
+ 0.7511217327385683,
+ -0.5263359068176799,
+ 0.085139064472493,
+ -0.04208084858420791
+ ],
+ [
+ 0.028431820501396258,
+ -0.0027302378445360235,
+ 0.03708343274837964,
+ -0.0019155810961998397,
+ -0.010481427617721051,
+ -0.015271380137298843,
+ -0.005063306449675687
+ ]
+ ]
+ ]
+ },
+ {
+ "scratch_banks": 1,
+ "seed": 2,
+ "adam_iterations": 700,
+ "control_slots": 12,
+ "parameters": 588,
+ "normalized_mean_square_residual": 0.014854926841746774,
+ "maximum_entry_residual": 0.7151978802723602,
+ "minimum_control_singular_value": 0.002156909818132022,
+ "numerical_hit": false,
+ "controls": [
+ [
+ [
+ 1.4724950335087026,
+ -1.024305440537251,
+ -1.0631324018087212,
+ -1.6179350484018349,
+ 0.00024475591723430493,
+ -0.0008609032541878579,
+ -0.0015459472730162227
+ ],
+ [
+ 0.17065767616995328,
+ 0.3662209589951263,
+ 1.4165246124308217,
+ -1.713001497115836,
+ -0.06264958364468214,
+ 0.0974362822602625,
+ -0.032365969188786085
+ ],
+ [
+ -0.06064989105417812,
+ -0.7478327040362354,
+ 0.17058901716832242,
+ 0.5420294247937563,
+ 0.12386732087178345,
+ -0.005464091825782992,
+ 0.018021476267244253
+ ],
+ [
+ 0.2386405839576881,
+ 0.07447586612868344,
+ 0.6676810149408895,
+ -0.31583019412423163,
+ 0.7489251536458905,
+ -0.7192886907659248,
+ 0.002161472056952474
+ ],
+ [
+ -0.07080832747463839,
+ 0.07160086165030512,
+ -0.32272560558222907,
+ -0.2945212832427696,
+ 0.3176636860513618,
+ 0.04652743917091165,
+ -0.0036937661926778383
+ ],
+ [
+ 0.05432309026699447,
+ -0.8126995892539236,
+ -0.8773431714836109,
+ 0.9561035881870124,
+ -0.1153572163364545,
+ 0.5095812682697842,
+ 0.0027112615087854382
+ ],
+ [
+ -0.008614724660054016,
+ -2.0131677641992596,
+ -2.050210774673349,
+ 1.921327343537456,
+ 0.05601513645257442,
+ -0.6723923720590347,
+ 0.012264375697852938
+ ]
+ ],
+ [
+ [
+ -0.00873489423978905,
+ 0.05202163147089579,
+ -1.075382502174915e-06,
+ -1.0129226239038537e-06,
+ 4.580164542147393e-10,
+ 1.92351166774254e-06,
+ 2.7543647028374576e-06
+ ],
+ [
+ 7.878182501880255e-06,
+ -0.0005958946042327851,
+ -3.956320041074721e-06,
+ 5.039020749638536e-06,
+ 4.257720161479387e-06,
+ -9.963102119054403e-06,
+ 8.689837424797757e-06
+ ],
+ [
+ -0.11350755982857504,
+ -0.000643360517904038,
+ 0.5562709959270972,
+ 0.3433471793510064,
+ -0.1686925307322877,
+ 0.02391216085445615,
+ -0.31849100376430994
+ ],
+ [
+ 0.7999372820190915,
+ -3.940167929792566e-05,
+ 0.2622014637166914,
+ -0.588852060436879,
+ 0.21610495664295554,
+ 0.4210254785507715,
+ 2.2385313284298167
+ ],
+ [
+ -1.7060611720646832,
+ -0.0003785954777348914,
+ -0.5429613038424315,
+ 0.13369822144774476,
+ -0.048060205220656134,
+ -0.3296226877491728,
+ -1.1192846482022214
+ ],
+ [
+ 2.1460851307654685,
+ 9.179056202275786e-05,
+ 0.421943606899939,
+ -0.1074791578948792,
+ 0.10431332215924083,
+ 0.47580098728797976,
+ 1.0048041486716572
+ ],
+ [
+ 3.1906537988981505,
+ -0.0003203556119964527,
+ -0.3590149685084293,
+ -0.12805035710392557,
+ 0.328659016262664,
+ 0.7076175464853924,
+ 0.6218620307788671
+ ]
+ ],
+ [
+ [
+ -0.004936344440781517,
+ 0.001288351226348234,
+ 0.014924136430488151,
+ -0.005763889870641725,
+ 0.08794770401750181,
+ 0.09380729783273434,
+ -0.013605567928575365
+ ],
+ [
+ 0.03724068423068503,
+ 0.003981127784491017,
+ 0.006556813003425023,
+ 0.004944725164400444,
+ -0.007089554586519551,
+ -0.03081792064592856,
+ 0.015479569070351475
+ ],
+ [
+ -2.763155813174013e-05,
+ -0.00010408671870707463,
+ 0.41743711283525364,
+ 0.07558632050629478,
+ -0.23457372096351822,
+ 0.10290070935922338,
+ -0.16303816611316777
+ ],
+ [
+ -2.4241357941030003e-05,
+ 1.4027580740546234e-06,
+ -0.4132447893885666,
+ 1.281949811231842,
+ -1.7646352753513141,
+ 1.7853987129399371,
+ 2.194781872031706
+ ],
+ [
+ -0.09785246598311367,
+ 0.07149935584577576,
+ 0.48156694776145165,
+ 0.1495537686269295,
+ 0.08502579822796218,
+ 0.23195315793111307,
+ 0.4053101991836543
+ ],
+ [
+ 0.16712237899192856,
+ -0.2942354182956994,
+ -0.41174836262373926,
+ -0.26810741949573574,
+ -0.0910707930212044,
+ 0.10743170139377832,
+ -0.7422761791689864
+ ],
+ [
+ -0.25913259021491447,
+ -0.19955480244638782,
+ -0.032388105064029,
+ -0.017316709517275444,
+ -0.04097026099952543,
+ 0.036721178634902575,
+ -1.0424864470721786
+ ]
+ ],
+ [
+ [
+ -0.0830183087678369,
+ -0.13198615369634933,
+ 0.08301095661868532,
+ -4.663759681136347e-05,
+ -0.09293029370774376,
+ -0.0499499090675927,
+ -0.3539445743830286
+ ],
+ [
+ -0.15525952444403188,
+ 0.028536436589817683,
+ 0.32803143446030825,
+ 0.055889937635723856,
+ 0.021970497991385066,
+ 0.035806458847991884,
+ -0.008703937762045038
+ ],
+ [
+ 0.17675150649902002,
+ -0.03539374083763609,
+ 1.1833171210886766,
+ 0.07434227105598894,
+ 0.14899783244661535,
+ -0.10872287427440222,
+ 0.2394972248144473
+ ],
+ [
+ 0.00806327619352711,
+ 0.039280017126627154,
+ -0.5075471040654757,
+ 0.08361189383776596,
+ 0.02645480986909943,
+ 0.13827166413503006,
+ 0.03943757019474929
+ ],
+ [
+ 0.11922026501144924,
+ -0.3212711071458045,
+ -0.4673574915249058,
+ 0.16429738716379894,
+ 0.08722241502185002,
+ -0.2982333484863586,
+ -0.25006779885293334
+ ],
+ [
+ -0.09015290169859973,
+ 0.2982407473272047,
+ 0.4913664074514335,
+ 0.12785128781767524,
+ 0.3462669833355116,
+ 0.022535272439739146,
+ 0.1582289382888324
+ ],
+ [
+ 0.12331951538578212,
+ -0.17332498218746875,
+ -0.8732186783363004,
+ 0.12960229900718578,
+ -0.10109952727125833,
+ -0.09905179662769828,
+ -0.6710206401633474
+ ]
+ ],
+ [
+ [
+ -0.3530804986711648,
+ 0.4337521070402028,
+ 0.1835649892292731,
+ 0.06214907472301505,
+ -0.013998993799084874,
+ -0.362963269654901,
+ 0.11474666479953968
+ ],
+ [
+ 0.004908687473554158,
+ -0.06351605686747833,
+ -0.008076081103331094,
+ 0.006136434155857629,
+ -0.06996898095947102,
+ -0.005094830983310239,
+ 0.01983741655190566
+ ],
+ [
+ -6.218101456725767e-05,
+ -2.370778723455504e-05,
+ -0.2388180739769968,
+ 0.05551265295344992,
+ -0.11996458750641449,
+ 0.01553823198483033,
+ -0.06639377896745358
+ ],
+ [
+ 0.0008321396377683472,
+ 0.00036907472624065973,
+ 0.062478739510715,
+ -0.08227692995396668,
+ 0.007994993899257964,
+ -0.1407519742827565,
+ 0.0374526980364115
+ ],
+ [
+ -0.10830232845732779,
+ -0.2160682504252649,
+ 0.06902043040507065,
+ -0.032521719127638925,
+ -0.43881037506447085,
+ -0.10937375114815408,
+ -0.19295334721798035
+ ],
+ [
+ -0.004225610133438487,
+ -0.13591868891624312,
+ -0.10232508704859149,
+ -0.08417634941315078,
+ 0.05144144649790099,
+ -0.20333096128144382,
+ 0.03420242332238593
+ ],
+ [
+ 0.012650212733392452,
+ -0.13752325484173852,
+ 0.23495982190774717,
+ 0.1128476461387794,
+ -0.5996016717376108,
+ -0.3746623398439589,
+ -0.5538151781199216
+ ]
+ ],
+ [
+ [
+ -0.33285893790089904,
+ 0.3221549030761126,
+ -0.16497437799122097,
+ 0.02778614698411172,
+ 0.3533176903865955,
+ -0.03291981630015931,
+ -0.2933168645567867
+ ],
+ [
+ -0.035618251009028434,
+ -0.08995219458607914,
+ 0.059303350960930944,
+ -0.04260180564832804,
+ -0.1406906162966495,
+ -0.19737701284671105,
+ 0.16081095521731636
+ ],
+ [
+ -0.0019875507761936448,
+ 0.08409619983467764,
+ -0.44973808937560017,
+ 0.15797400270051143,
+ 0.0325362746213719,
+ 0.006623325800001362,
+ 0.0023582046658921782
+ ],
+ [
+ 0.18884567411625552,
+ 0.02233180398263261,
+ 0.23146772885522454,
+ -0.04699782352099946,
+ 0.010595521395486644,
+ 0.043791770243717956,
+ -0.10410570966304868
+ ],
+ [
+ 0.04661970376420766,
+ -0.0027149418199886467,
+ 0.1625778526652835,
+ -0.00495124024329422,
+ -0.25229915417338167,
+ -0.07647202627022863,
+ -0.31680312013869294
+ ],
+ [
+ -0.1709370095261893,
+ 0.1329388404557011,
+ 0.0600122902783104,
+ -0.02079513354624823,
+ -0.12102601247134112,
+ -0.3683028206264771,
+ -0.05551347699750694
+ ],
+ [
+ -0.12220067251740507,
+ -0.5190042762281117,
+ -0.11995974336614738,
+ -0.0002390788577846547,
+ -0.4917354364127336,
+ -0.18997426540909912,
+ -0.4723921324547893
+ ]
+ ],
+ [
+ [
+ -0.32990175408517375,
+ 0.25975022624397526,
+ -0.002231328746018769,
+ 0.3050811168044302,
+ 0.18452610978068754,
+ 0.33014341236577205,
+ -0.07868641400091587
+ ],
+ [
+ -0.08439641257535127,
+ -0.14157219047114794,
+ 0.00631227430085833,
+ 0.342790332655799,
+ -0.004353756469118531,
+ -0.1669618550218387,
+ -0.036453397176109625
+ ],
+ [
+ 0.09605996042470713,
+ -0.036821987371175445,
+ -2.1078642580745877e-05,
+ -0.17968107915059225,
+ -0.36099626697247456,
+ 0.040825452500632194,
+ -0.07850677382248603
+ ],
+ [
+ 0.029117581292364393,
+ -0.08672052571558764,
+ -0.00436356953954519,
+ -0.1336285740377288,
+ -0.05798262575584887,
+ 0.16731219839366787,
+ -0.11342401029140811
+ ],
+ [
+ 0.115621605495349,
+ -0.06743149227655836,
+ 0.0014521887453330163,
+ 0.06587528462116096,
+ 0.1559623977246173,
+ 0.011039364601258176,
+ -0.13188773857008135
+ ],
+ [
+ -0.08510465751122427,
+ -0.15446590796502865,
+ -0.012479635056054459,
+ -0.5947724349606408,
+ -0.26277021893895547,
+ 0.06263087090862648,
+ -0.14053346682229373
+ ],
+ [
+ -0.13883980183860062,
+ -0.20344905565920787,
+ 0.0017729990182650346,
+ 0.10719629311071711,
+ 0.09672827439100246,
+ -0.10684245831931774,
+ -0.5878233404260419
+ ]
+ ],
+ [
+ [
+ -0.33269233196825176,
+ 0.34840413371778356,
+ 0.00992950429019988,
+ -0.07587249212719262,
+ -0.24179687095757788,
+ 0.3581605707543839,
+ -0.07851993588712121
+ ],
+ [
+ 0.021817097938084454,
+ -0.6611709981074352,
+ -0.0365014169853044,
+ 0.3786927518073546,
+ 0.05823532807782666,
+ -0.1788020999173728,
+ -0.16661294415406236
+ ],
+ [
+ -0.031878340253201375,
+ 0.06791491661854629,
+ -0.2553019345345956,
+ 0.07478613226050289,
+ 0.030646352548220773,
+ -0.05679328728796289,
+ -0.058361607643756044
+ ],
+ [
+ -0.02919898318736934,
+ 0.04894751173603095,
+ 0.01961878390101003,
+ 0.15448229076658895,
+ 0.05060574712642113,
+ -0.016443721158883897,
+ -0.016474290951237217
+ ],
+ [
+ 0.026114727098772147,
+ -0.009736911330387727,
+ 1.6709657402194641e-06,
+ -0.0011911783639333717,
+ -0.2422859016260015,
+ -0.04059634197003201,
+ -0.03222415529410687
+ ],
+ [
+ 0.2125469460367932,
+ -0.15679827987548994,
+ -1.802654145364671e-05,
+ 0.0006916792092128102,
+ 0.11229078753690067,
+ -0.5839097011912299,
+ -0.053211286813013764
+ ],
+ [
+ -0.07642538162458626,
+ -0.3426271227236273,
+ 0.021741178236717916,
+ 0.4629390818085859,
+ -0.07148254540814859,
+ -0.007823345767751096,
+ -0.5780049314043733
+ ]
+ ],
+ [
+ [
+ -0.2812664310316042,
+ 0.1938668570698944,
+ 0.03101896141064763,
+ 0.17032031166177425,
+ 0.0600186499168175,
+ 0.05503043317215859,
+ -0.1476541375331178
+ ],
+ [
+ -0.1043044331952282,
+ -0.6292645579199132,
+ 0.009318290030056917,
+ 0.20038013378677824,
+ -0.020331513512081536,
+ -0.18230949148127087,
+ -0.14113804575592875
+ ],
+ [
+ -0.01032555719325954,
+ -0.19519756397099214,
+ -0.1692603613561493,
+ -0.04740818916998794,
+ 0.38638140077057126,
+ -0.03741627085804131,
+ 0.0615964261496253
+ ],
+ [
+ 0.18193112882170284,
+ 0.0609456923331389,
+ 0.05729119070234623,
+ -0.23229699785291755,
+ 0.03452966029564453,
+ -0.23691260860091057,
+ 0.08228652656100018
+ ],
+ [
+ -0.0027688312434446943,
+ 0.013707724443508148,
+ -0.07379549619839629,
+ -0.09375102491183863,
+ -0.33920040651033945,
+ 0.11878151309466246,
+ -0.0018079787510512442
+ ],
+ [
+ 0.08325824790337491,
+ 0.021496050018646132,
+ -0.012164717619601386,
+ -0.06108155786965947,
+ -0.2797361116665071,
+ -0.14023655490808992,
+ 0.17299093155211026
+ ],
+ [
+ -0.12246340677059302,
+ -0.337236495655063,
+ -0.056499271193668,
+ 0.2729939429178316,
+ -0.012261368354252353,
+ -0.062435928338739025,
+ -0.5107166884555022
+ ]
+ ],
+ [
+ [
+ -0.3097819381749893,
+ 0.2292286839668982,
+ -0.042035414157080286,
+ -0.13224503803169413,
+ -1.236548037559729e-05,
+ -0.0019231923787504186,
+ -0.04214338805559066
+ ],
+ [
+ -0.08397868374038704,
+ -0.5603826286817963,
+ 0.068613739421664,
+ 0.23329710674019352,
+ 0.00010592374818183671,
+ 0.0025455651444274805,
+ -0.08911086919434537
+ ],
+ [
+ 0.09982987552457336,
+ 0.02738334473859263,
+ -0.17705299821824425,
+ 0.014424858922993472,
+ -2.1556104562604175e-05,
+ -0.00012252223362841985,
+ -0.023052688163487184
+ ],
+ [
+ 0.22455020945812276,
+ 0.04072356254084961,
+ 0.13898569837855482,
+ -0.3061025817069042,
+ 1.8981295505460196e-05,
+ -0.0012613849662433767,
+ 0.003931752016199315
+ ],
+ [
+ 0.001373609050633486,
+ 0.002287603478472261,
+ 0.00020419535843114534,
+ -0.0019524906537795393,
+ -0.05202785060130888,
+ -0.025685428841204897,
+ 0.0021375930453507467
+ ],
+ [
+ 0.0003081098896455718,
+ 0.0004983600056583135,
+ -1.4642375101007499e-05,
+ -0.0004101499423683395,
+ -0.01651209064542249,
+ 0.0025451559689403155,
+ 0.00045989230605703675
+ ],
+ [
+ -0.23345460406665858,
+ 0.05700978783614135,
+ 0.09959820583098628,
+ 0.02031567082865881,
+ 2.5885218690682412e-05,
+ -0.0005399375146199038,
+ -0.24331537710682674
+ ]
+ ],
+ [
+ [
+ -0.3450876255313488,
+ 0.23174481866813954,
+ 0.012000425139044365,
+ -0.2491324685126142,
+ 0.20099626747471488,
+ 0.4465366496498963,
+ 0.02670848399883232
+ ],
+ [
+ 0.1303483491337526,
+ -0.574539990526281,
+ 0.0598342671625397,
+ 0.08267674827841837,
+ -0.14723623797861726,
+ -0.3518120041003271,
+ -0.113440437059647
+ ],
+ [
+ -0.03216615033388626,
+ -0.014339465061780923,
+ -0.22704809542445883,
+ -0.05257311079037756,
+ -0.0020343684258064456,
+ 0.0007967720152071131,
+ -0.006426585697131744
+ ],
+ [
+ -0.2784579750477142,
+ 0.20510898699576482,
+ 0.20074345533220117,
+ -0.24060960108816087,
+ -0.001742200088996994,
+ -0.00013693580699875775,
+ 0.1243480058351297
+ ],
+ [
+ -0.15921557479192924,
+ 0.07828568713006137,
+ 0.011290244858358054,
+ 0.03578709022788394,
+ -0.19518590734858235,
+ -0.19413232378129788,
+ 0.1027354711274578
+ ],
+ [
+ 0.06632482788288432,
+ 0.03168033393707512,
+ 0.0016037214212109032,
+ -0.015168394543085014,
+ -0.00874119965136038,
+ 0.18589661200240853,
+ -0.01830319870400216
+ ],
+ [
+ -0.3178068742461676,
+ 0.22334554335718945,
+ 0.06096318168226725,
+ -0.06087947049855982,
+ -0.038592601758388856,
+ -0.047149576937606866,
+ -0.44181013372860317
+ ]
+ ],
+ [
+ [
+ -0.558909637554646,
+ -0.2114046843518414,
+ -0.010990867426718547,
+ -0.2119840765710889,
+ -0.336118970797578,
+ 0.07399823371912814,
+ -0.1719927859922094
+ ],
+ [
+ -0.16990997258829715,
+ -0.41737191662819567,
+ -0.15844566143417382,
+ 0.09573830315525073,
+ 0.23768068500308165,
+ -0.1741099263753172,
+ -0.16928965259888584
+ ],
+ [
+ 0.002855967207084121,
+ -0.16502496103896147,
+ -0.545330066068807,
+ 0.17030915805948516,
+ 0.30152274338236446,
+ -0.048601265971133886,
+ -0.031874345025140145
+ ],
+ [
+ -0.22127953908550926,
+ -0.16235406114629206,
+ 0.18419427632355556,
+ -0.6830839766415086,
+ 0.23990111277468368,
+ 0.03584815975426966,
+ 0.13999934426423835
+ ],
+ [
+ -0.05287131937685049,
+ -0.014925105516770433,
+ -0.05358087312078799,
+ 0.023559690785775935,
+ -0.16547562098455457,
+ -0.027209370760735912,
+ 0.05175651227598473
+ ],
+ [
+ 0.260968156030537,
+ -0.6610023196165984,
+ -0.10488205587817813,
+ 1.4128285750325213,
+ -0.1914989991154854,
+ 0.08804404604060918,
+ -0.05421727137560881
+ ],
+ [
+ -0.05038457949097638,
+ 0.03012977744066954,
+ 0.0031764158299595127,
+ -0.013944051638488402,
+ 0.022897266538603675,
+ 0.010233850848915309,
+ 0.03125656811013067
+ ]
+ ]
+ ]
+ }
+ ],
+ "scope": "128 balanced width-two sectors, all seven stage signs independent; one filtered stage; extra owned mode banks may be actively mixed. Necessary discovery model only; no rational or physical all-width endpoint is certified.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 136.09899429196957
+}
diff --git a/research/filtered-native-kappa004/evidence/feedback-scratch2-internal.json b/research/filtered-native-kappa004/evidence/feedback-scratch2-internal.json
new file mode 100644
index 0000000000..0d0395985f
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/feedback-scratch2-internal.json
@@ -0,0 +1,3005 @@
+{
+ "status": "EXPLORATORY_NUMERICAL_FEEDBACK_SEARCH",
+ "results": [
+ {
+ "scratch_banks": 2,
+ "seed": 0,
+ "adam_iterations": 700,
+ "control_slots": 12,
+ "parameters": 768,
+ "normalized_mean_square_residual": 0.005601863616639425,
+ "maximum_entry_residual": 0.8327625844645545,
+ "minimum_control_singular_value": 0.006371297962782155,
+ "internal_source_feedback": true,
+ "internal_feedback_coefficient": -14.000901487083839,
+ "numerical_hit": false,
+ "controls": [
+ [
+ [
+ 2.4796255163554584,
+ 2.5276181304373773,
+ 3.2452752205999,
+ -0.8863981096847315,
+ 6.228376674185661e-05,
+ 0.0020960949539360774,
+ -0.017986519052628436,
+ -0.02500588102078448
+ ],
+ [
+ 0.6233176840368582,
+ 1.4384544062461055,
+ 3.6700980681469626,
+ -0.7956732258007926,
+ -0.09166820447820088,
+ -0.31570302974235315,
+ 0.002060297401675303,
+ 0.00975531370407389
+ ],
+ [
+ 0.049616628770431145,
+ -1.1962921266935393,
+ 1.1668887425752792,
+ 0.3674601042109896,
+ -0.23662465302612556,
+ -0.07655474861038981,
+ 0.005113751133828799,
+ -0.023968878282339425
+ ],
+ [
+ -0.08634105862116,
+ -0.7339096293740693,
+ -0.22622335520102632,
+ -0.6812996688845872,
+ 0.46452336351551965,
+ 0.17052573845909144,
+ -0.012941458773302427,
+ -0.025714736539293848
+ ],
+ [
+ 0.030638211558805157,
+ -0.29997421915908346,
+ 0.69693328010867,
+ 0.10615177299472159,
+ 0.15332555802618697,
+ -0.27788439510739654,
+ 0.03366531477170751,
+ 0.026731475850939792
+ ],
+ [
+ -0.04001955199718007,
+ 0.6911733952125414,
+ 1.114859158722331,
+ -0.3625004861426822,
+ 0.009829626538325961,
+ 0.2659214492622897,
+ -0.038925885186399514,
+ 0.007053450908773012
+ ],
+ [
+ -0.14869160010905683,
+ 1.5981112707048473,
+ 1.9148593076007727,
+ -0.8463002073313473,
+ -0.03223715685376059,
+ -0.5274094795372427,
+ 0.02608975969659454,
+ 0.027354980719365863
+ ],
+ [
+ -0.059273590823188754,
+ 0.0755553405896328,
+ -0.5487317835119053,
+ 0.06160165728000698,
+ -0.1407719156175386,
+ -0.12042852994246142,
+ 0.04287922810874187,
+ -0.00022671594973822275
+ ]
+ ],
+ [
+ [
+ -0.12602302265040494,
+ -0.14155209210183178,
+ 2.641105942512078e-05,
+ 1.9430993672414983e-05,
+ 9.903412198414144e-06,
+ -1.572185454111179e-05,
+ -3.16025935716333e-05,
+ 1.1232041791092538e-06
+ ],
+ [
+ 0.003380880374096413,
+ -0.000635617362510097,
+ 1.9870387408404108e-05,
+ 6.822112001494035e-06,
+ 2.6076330147830573e-06,
+ 2.1766525097093573e-06,
+ 5.248566057088357e-06,
+ -9.093765740436972e-07
+ ],
+ [
+ 0.00010162405804060569,
+ 0.00565600800797524,
+ 1.390953849064635,
+ 0.5149073413306668,
+ 0.30175546097027767,
+ 0.2033034254942371,
+ 0.10837336605604726,
+ -0.28590636097944994
+ ],
+ [
+ -0.00017839737052126507,
+ 0.0012193493192320993,
+ -0.9433992792616835,
+ -0.26966697789148114,
+ -0.9362735181124231,
+ -0.9832034332263937,
+ -2.3300060310255932,
+ 0.44255716043002713
+ ],
+ [
+ 2.1667046050049334e-05,
+ -0.0010342761639886861,
+ -0.21021944666124343,
+ 0.24724887990331623,
+ -0.125296736068923,
+ 0.11641255228488731,
+ 0.3412798525092467,
+ -0.3789497608722404
+ ],
+ [
+ 5.171716621564598e-05,
+ -0.0014454769372606322,
+ 0.15334308372348956,
+ 0.08331277104616037,
+ -0.045747424217887696,
+ 0.34229043963323214,
+ 0.27211875578112604,
+ -0.4206145062203327
+ ],
+ [
+ -0.00011513792190870039,
+ 0.0005016792881552261,
+ -1.0150006919659902,
+ 0.35874006418307475,
+ -0.058589848107426123,
+ -0.6752947836696345,
+ -2.4961927507810744,
+ -0.2229250896765846
+ ],
+ [
+ -0.000138541143148524,
+ 0.0015307861953158322,
+ -1.232282561757885,
+ 0.3338425194673551,
+ -0.08813060964459171,
+ -0.6369332209714696,
+ -1.652450124426838,
+ -0.49478498456593945
+ ]
+ ],
+ [
+ [
+ -0.08673549280059949,
+ -0.007563593515802492,
+ -0.027026957420816997,
+ -0.07106995040690277,
+ 0.2264050868569881,
+ -0.4117958384402321,
+ 0.13757984064663023,
+ -0.16442211404291154
+ ],
+ [
+ 0.08877270104383007,
+ 0.4846302163307551,
+ -0.016426488277850988,
+ 0.11200140164695382,
+ 0.059138389037540505,
+ 0.013844511047479512,
+ -0.13250024421057616,
+ -0.02824275096749924
+ ],
+ [
+ -3.320529547519961e-05,
+ 8.36759791563118e-05,
+ 0.7062547807192641,
+ 0.44254340453562674,
+ -0.10296184214838364,
+ -0.23710382570440466,
+ 0.38875503765394187,
+ 0.29778698953279087
+ ],
+ [
+ -2.9172865531411596e-06,
+ 0.00027164124352219897,
+ -1.6214395185302477,
+ 0.7441993323599291,
+ -0.307228601507449,
+ -0.924446229302161,
+ 1.6593711873660861,
+ 1.7822295995433457
+ ],
+ [
+ -0.09292325078085646,
+ -0.18602377743232446,
+ 0.0672007344551344,
+ -0.16715642343911563,
+ 0.2407546539855189,
+ 0.14123493154881642,
+ 0.3079492854838001,
+ 0.2522075592355397
+ ],
+ [
+ 0.19078547126343762,
+ -0.020640013404929432,
+ 0.05161501911000342,
+ 0.1998733663431445,
+ 0.11573348455095717,
+ 0.1139846288811902,
+ 0.062253103187108375,
+ 0.16633175195810307
+ ],
+ [
+ -0.10155144797934869,
+ 0.18198525220273976,
+ -0.004509315928086688,
+ -0.14282978523601328,
+ 0.10886692451383345,
+ -0.10661932474015956,
+ -0.5862639420658889,
+ -0.19313457692946123
+ ],
+ [
+ -0.26287528444452135,
+ 0.0004229361779606211,
+ 0.08679174078777568,
+ -0.2669383333677618,
+ 0.27802822550865325,
+ 0.126722133343263,
+ 0.0869939760814922,
+ -0.5776875485854938
+ ]
+ ],
+ [
+ [
+ -0.10262735488972002,
+ 0.11486639469196776,
+ 0.10269024097597532,
+ -0.0005522120599932437,
+ -0.030087929462905737,
+ 0.3696539859058436,
+ -0.08044454418398522,
+ -0.3693940965280172
+ ],
+ [
+ -0.035123402112900444,
+ 0.14784328536239444,
+ 0.2340900802446944,
+ 0.35708149312818616,
+ -0.018636452445330146,
+ -0.005150129936422042,
+ 0.19903948656565953,
+ 0.029457947347417867
+ ],
+ [
+ 0.11629396321387651,
+ -0.04327791582335992,
+ 1.55279465644918,
+ -0.02993657012735486,
+ 0.03828375114092498,
+ -0.17915001467159933,
+ 0.01951328472569561,
+ 0.23285366830212514
+ ],
+ [
+ -0.001045388876093568,
+ -0.16298112033517226,
+ 0.46443882587521207,
+ -0.1751895884998859,
+ -0.030678611385200054,
+ 0.06044657130567467,
+ -0.16580667894755052,
+ -0.02228793781294099
+ ],
+ [
+ -0.07574699521775295,
+ 0.33655090016656247,
+ 0.5686209497844599,
+ -0.12299577461428898,
+ -0.29725873153158583,
+ 0.2791366609320616,
+ -0.4078094887441618,
+ -0.0452435957812855
+ ],
+ [
+ -0.17988847725313967,
+ -0.049824289781655366,
+ 0.38498634632273226,
+ 0.034408153551255496,
+ -0.2084739734597403,
+ -0.12371463043025602,
+ 0.01565905032009183,
+ 0.06223126684002547
+ ],
+ [
+ -0.013875330303610918,
+ 0.09220122967724502,
+ 0.4171482698248551,
+ -0.12284590347785775,
+ -0.03369396654300315,
+ 0.11887081725420663,
+ -0.3128259463912387,
+ -0.19150845527111415
+ ],
+ [
+ 0.2893687075769717,
+ -0.08471422617755614,
+ -1.0555371596595429,
+ 0.2847779783095553,
+ 0.8533491608288288,
+ 0.05143443908683427,
+ 0.25894021155113917,
+ -0.40413577933125716
+ ]
+ ],
+ [
+ [
+ -0.24207853976215055,
+ 0.2633797463960298,
+ 0.11072080505835678,
+ -0.08310719124503838,
+ -0.041555456013194415,
+ 0.28123944072790524,
+ 0.031544172112097126,
+ 0.08082794979517482
+ ],
+ [
+ -0.03912946875376167,
+ -0.10853862637991217,
+ -0.0024500962060530537,
+ -0.007087935113081835,
+ 0.04122091003355341,
+ 0.03451501798194791,
+ 0.049033245876715696,
+ 0.07786302393364658
+ ],
+ [
+ -0.00017129094331011247,
+ -0.0001161328885145761,
+ -0.2969020347026335,
+ 0.1326888440550568,
+ 0.1008441421165818,
+ 0.10143090173145962,
+ 0.01716191763406399,
+ -0.1153455287995238
+ ],
+ [
+ -0.00012341638664625996,
+ -0.00012087756690865864,
+ -0.00022245260015830908,
+ -0.2670433680544447,
+ -0.12992199565997242,
+ 0.015036893983138027,
+ -0.22984235284262333,
+ 0.09638922134969988
+ ],
+ [
+ -0.018612858172699375,
+ -0.10491313659376417,
+ 0.14950507193904908,
+ -0.16832250669148704,
+ -0.3419537083726721,
+ -0.12195498302504254,
+ -0.3889919001241811,
+ 0.597483803241169
+ ],
+ [
+ 0.08836265474677046,
+ 0.02561610102644751,
+ -0.08074701829614193,
+ 0.0018442565019634015,
+ -0.05781205389995109,
+ -0.24214168816314394,
+ 0.08040357010392041,
+ -0.10694778272484518
+ ],
+ [
+ 0.058562824343277885,
+ 0.20407609341841237,
+ 0.10293110742302138,
+ -0.07505242025615164,
+ -0.18426981151687247,
+ -0.12113741885423951,
+ -0.48468690600951597,
+ 0.39588720969340746
+ ],
+ [
+ 0.015567772691125943,
+ 0.08470998258802603,
+ 0.05305966877225985,
+ -0.03106111430608742,
+ 0.23085622076845147,
+ -0.1746742504265108,
+ 0.08237074710304043,
+ -0.6844591046580993
+ ]
+ ],
+ [
+ [
+ -0.2863822969769856,
+ 0.2352208502398592,
+ 0.0974509861440867,
+ 0.18796629628378186,
+ 0.16775650705286393,
+ -0.32678768977454375,
+ -0.2536136429036479,
+ -0.1170274316412208
+ ],
+ [
+ -0.0682165369525107,
+ -0.14907454880667692,
+ -0.04464761215050407,
+ -0.14128730080305543,
+ -0.021619680834448807,
+ 0.05477078565070075,
+ 0.006614050718860874,
+ 0.11554198205146629
+ ],
+ [
+ 0.03563174503351758,
+ 0.09751608443374071,
+ -0.5026399873167384,
+ 0.05956202623595852,
+ 0.07063084303788109,
+ -0.08503428444313073,
+ -0.13839125262651786,
+ -0.12848291987743238
+ ],
+ [
+ 0.1093323990262533,
+ 0.16195997668581755,
+ -0.04975504133129457,
+ -0.0672510459256276,
+ -0.06256005643633586,
+ -0.11485503730683225,
+ 0.036721331327732254,
+ -0.19027765465957977
+ ],
+ [
+ -0.0315610708770835,
+ 0.03592400232635765,
+ 0.02254601651940342,
+ 0.0409794577307089,
+ -0.35603850374493085,
+ -0.047051179331965766,
+ -0.16420030524544704,
+ 0.4929700292287441
+ ],
+ [
+ 0.16339483169735344,
+ 0.023345475891875807,
+ -0.08929154323447472,
+ -0.0403568200754064,
+ -0.03459122008624547,
+ -0.06932190035025626,
+ 0.0499470530411197,
+ -0.13225162628187825
+ ],
+ [
+ 0.12123898207739837,
+ 0.21449889635607203,
+ -0.020184075628429173,
+ -0.6815075255030996,
+ -0.02805668677451426,
+ -0.0720018495331362,
+ -0.2554874814029107,
+ -0.04777306868588925
+ ],
+ [
+ 0.03368580675587262,
+ 0.06513703472426222,
+ -0.008870890993158994,
+ -0.1578979993102669,
+ 0.01379869544237051,
+ 0.024533676700439416,
+ -0.05386676086819074,
+ -0.28517568213211797
+ ]
+ ],
+ [
+ [
+ -0.23756788216323294,
+ 0.20684601214724105,
+ -0.019348144751995672,
+ -0.21724159376367305,
+ 0.199919256347518,
+ -0.3422762758135472,
+ -0.2726462665912259,
+ -0.12764511652903052
+ ],
+ [
+ -0.08940800666492973,
+ -0.14876220959043476,
+ 0.004929033207759092,
+ 0.004991434796120875,
+ -0.2428136002993369,
+ 0.032466263871230465,
+ 0.061628826469887626,
+ 0.1513469010554789
+ ],
+ [
+ 0.026405263940549886,
+ -0.011968578899115208,
+ -6.404194824196679e-05,
+ -0.08212668981891284,
+ -0.47621590590269186,
+ 0.01858515411706214,
+ 0.010478639093643539,
+ 0.13146324553523814
+ ],
+ [
+ -0.10651212102023422,
+ 0.03498280921811774,
+ 0.016327762001659227,
+ -0.23240033964245715,
+ 0.12752414849106503,
+ 0.3217159403330138,
+ -0.04891337211416033,
+ 0.003425349234795031
+ ],
+ [
+ 0.01745686736858098,
+ -0.012830021424583749,
+ 0.07793756489749733,
+ 0.03588071387149373,
+ -0.08486511721544891,
+ 0.06209173703506847,
+ 0.03458859693356626,
+ 0.2134434086368261
+ ],
+ [
+ -0.15060039739637118,
+ 0.1815139327168299,
+ -0.03815864826993486,
+ -0.14958890575025025,
+ 0.18041111357888623,
+ -0.17457758160343992,
+ -0.10446069065505001,
+ -0.22985942772594753
+ ],
+ [
+ 0.028254917764109586,
+ 0.24505186118012454,
+ 0.0006149768299993846,
+ 0.1747850840402795,
+ 0.14481613594755718,
+ -0.12605012240709848,
+ -0.15326025589835018,
+ -0.166271223877451
+ ],
+ [
+ 0.10163281352821828,
+ 0.058952968498683735,
+ 0.016469528723700923,
+ 0.019345180205262432,
+ -0.010439472465153345,
+ -0.12620035107386163,
+ -0.06619492433238088,
+ -0.22069107208997288
+ ]
+ ],
+ [
+ [
+ -0.2716001527786294,
+ 0.16009948387545714,
+ -0.016247523228679107,
+ 0.05218461552895957,
+ 0.17019928415125363,
+ -0.22165325831379468,
+ -0.11102766483287559,
+ -0.18011788578358107
+ ],
+ [
+ -0.10883948332506131,
+ -0.11504912648769729,
+ -0.005033366892946349,
+ -0.10358545019634624,
+ -0.07021124137710281,
+ 0.1220325027329777,
+ 0.08941505204941493,
+ 0.039223131502644656
+ ],
+ [
+ -0.019211270471910923,
+ -0.01569083101727478,
+ -0.2332554969189202,
+ -0.07997333697424724,
+ -0.001250846417066038,
+ 0.007194983597178738,
+ 0.044734294204663065,
+ 0.013497920693051658
+ ],
+ [
+ -0.056411759301984235,
+ 0.058986613469685006,
+ 0.01478393102559038,
+ 0.06275471420919158,
+ -0.020280102262043187,
+ 0.023202977862020316,
+ -0.005276859549888195,
+ 0.022248726569024338
+ ],
+ [
+ 0.017429662528808905,
+ -0.012135858472373454,
+ 3.923937254962466e-06,
+ 0.0003856372906950134,
+ -0.3245836981032483,
+ 0.030542393909757312,
+ 0.0013570292661691079,
+ -0.0009086176290585428
+ ],
+ [
+ -0.128406993207948,
+ 0.0007480814466873803,
+ 3.93315186482227e-05,
+ -0.0005754697629282004,
+ 0.026004915647331612,
+ -0.39117766094981327,
+ -0.044268733023562504,
+ -0.051036442253868976
+ ],
+ [
+ 0.21597479237245615,
+ 0.06084943053744914,
+ -0.006428390452965311,
+ 0.10694322779215668,
+ 0.12524398306124548,
+ -0.02865428802275838,
+ -0.2303387328819719,
+ -0.07945668287678893
+ ],
+ [
+ 0.11660829452553416,
+ -0.06903266839715254,
+ -0.008847975513312945,
+ 0.1461688441325165,
+ -0.10224727614122575,
+ -0.011912690836912437,
+ -0.1372335035003633,
+ -0.22292823281550284
+ ]
+ ],
+ [
+ [
+ -0.29888546011193534,
+ 0.22686723619438526,
+ 0.051482309004230065,
+ -0.009242046180035898,
+ -0.040296713216289366,
+ 0.02795996540703366,
+ -0.24809321498462714,
+ -0.17878118066861468
+ ],
+ [
+ 0.07118943580097373,
+ -0.26728283454254304,
+ -0.05041264013514332,
+ -0.023648390304392756,
+ 0.05403726199055563,
+ 0.03336711606642073,
+ 0.08347961132963057,
+ 0.09143848185297757
+ ],
+ [
+ 0.03067059497026615,
+ -0.0013408789433977698,
+ -0.1331408665600383,
+ -0.01135025867410698,
+ 0.3680408929670433,
+ 0.05296550576275788,
+ -0.05819838427000357,
+ -0.02996838981693251
+ ],
+ [
+ -0.03904845410267916,
+ -0.014251333330178848,
+ 0.10606752104725828,
+ -0.5151312197720429,
+ 0.01188466868836062,
+ -0.20890223417237627,
+ -0.06319181525133215,
+ 0.040924994950223295
+ ],
+ [
+ -0.002586669958862506,
+ -0.004336279092260856,
+ -0.09645594668950257,
+ 0.05674527614073248,
+ -0.24490685982954788,
+ -0.015246675958066109,
+ 0.005855592127609288,
+ 0.0028796216859942364
+ ],
+ [
+ 0.026803752310903713,
+ -0.0645636899100651,
+ -0.03644209167765449,
+ 0.22647184562732312,
+ 0.2082446849074944,
+ -0.30724348500068377,
+ 0.017280273304303418,
+ 0.08283295406802606
+ ],
+ [
+ -0.10094497719986487,
+ 0.32382892800978574,
+ 0.07623524416537968,
+ 0.11518658193325036,
+ -0.12598946557236956,
+ -0.03950834845417381,
+ -0.269731142478294,
+ -0.24756499824372608
+ ],
+ [
+ -0.023395239620823568,
+ 0.05277988736081322,
+ -0.005030545591928434,
+ 0.003241469289569259,
+ -0.013286236153308303,
+ -0.0008596757457954977,
+ -0.15545402545152906,
+ -0.30100023177454766
+ ]
+ ],
+ [
+ [
+ -0.283647938766851,
+ 0.1544873953055946,
+ 0.05840716757039986,
+ 0.07787385019416614,
+ -5.828279761107712e-07,
+ 9.80342569618569e-07,
+ -0.16874001810589404,
+ -0.05416929197600952
+ ],
+ [
+ 0.04644596906783488,
+ -0.39972866348878333,
+ -0.05930379782656996,
+ -0.05080172796522433,
+ -7.0853296465597904e-06,
+ -4.472545473316e-06,
+ 0.14496814373825762,
+ 0.0200215583236823
+ ],
+ [
+ -0.00028416491843557114,
+ -0.03343149239377242,
+ -0.19127057472868667,
+ -0.12092404509913546,
+ -1.1082494332860751e-05,
+ 5.112437110430973e-05,
+ -0.01596780221820008,
+ 0.06548031609268713
+ ],
+ [
+ 0.002668104251937752,
+ -0.1757059440695199,
+ 0.16807030362994863,
+ -0.27682324830692157,
+ 1.1177144058047705e-05,
+ 2.0195705489076625e-05,
+ 0.02855589237976019,
+ 0.02453879681927265
+ ],
+ [
+ 0.0005002841067459756,
+ -0.00020079909989192477,
+ -8.862483983794189e-05,
+ 0.00024644415105596235,
+ -0.02790963480370732,
+ -0.0500114566234629,
+ -5.203283633807836e-05,
+ -0.001733321503035857
+ ],
+ [
+ 7.315108435715614e-06,
+ -7.2039390785329305e-06,
+ 2.4557361019835855e-05,
+ 1.1163004844414937e-05,
+ -0.008635276178205514,
+ -0.00187268768428178,
+ 1.275468750923787e-06,
+ -1.97629005217589e-05
+ ],
+ [
+ -0.08575036913068233,
+ 0.4810226160299339,
+ 0.29854636981824767,
+ 0.22974811752566715,
+ 5.6150257548334e-06,
+ 1.2525029359232616e-05,
+ -0.4895969977345631,
+ -0.18280886034682176
+ ],
+ [
+ 0.19862853131660288,
+ 0.0004015149846547813,
+ 0.04315289517017912,
+ 0.01719876802528672,
+ 4.153878046891469e-06,
+ -2.0384299173407004e-07,
+ -0.15047950619192418,
+ -0.3702838985551998
+ ]
+ ],
+ [
+ [
+ -0.26873755322328885,
+ 0.13704914852573563,
+ 0.007258668547045475,
+ 0.14373875628563465,
+ 0.22140670153923048,
+ 0.028378524798566018,
+ -0.17772810186155788,
+ -0.05668396467513564
+ ],
+ [
+ -0.02527781443665211,
+ -0.38393081907766907,
+ 0.001067367967469612,
+ 0.03450696079121718,
+ -0.16181477119765644,
+ -0.07319764075224726,
+ 0.17860408176033699,
+ -0.04966609858378755
+ ],
+ [
+ 0.02404430948297858,
+ -0.0030851255005657848,
+ -0.19212106311543964,
+ -0.04101939805479829,
+ 0.004332476501335279,
+ 0.0013348369479341757,
+ 0.040172332921851406,
+ -0.036872838109773654
+ ],
+ [
+ 0.18293150773111058,
+ -0.20605110619318126,
+ 0.24372972108291469,
+ -0.16406616140673966,
+ -0.010083235911116258,
+ 0.003012031640604176,
+ 0.32777497797392097,
+ 0.06976952175767442
+ ],
+ [
+ -0.2339094463138577,
+ -0.019542470222343903,
+ -0.012921823246532588,
+ -0.05656661942252887,
+ -0.1611650779249101,
+ 0.4084157506954456,
+ 0.11969102432471931,
+ -0.10966372650137207
+ ],
+ [
+ 0.16989786118358133,
+ 0.025075475872032595,
+ -0.004799406408936179,
+ 0.017260759245681642,
+ -0.10605490786866345,
+ -0.09723039975147346,
+ -0.011669958587333,
+ 0.04147224729888503
+ ],
+ [
+ 0.04568493129731022,
+ 0.42460124763950535,
+ -0.04186553724303696,
+ -0.08647781268936416,
+ 0.14673151600627576,
+ 0.48889297171968965,
+ -0.5941949178773533,
+ -0.024899698805384483
+ ],
+ [
+ 0.21009662102051077,
+ 0.07622751360368567,
+ 0.07515592154701334,
+ 0.028665885126177584,
+ 0.0010200437432651103,
+ -0.7216381680933877,
+ 0.03003630539191524,
+ -0.3053619608910614
+ ]
+ ],
+ [
+ [
+ -0.5065249727844913,
+ 0.003646831029975082,
+ 0.36222378191251625,
+ 0.0006474929860932556,
+ -0.19811272496829777,
+ -0.060993431349923674,
+ 0.11216371535131689,
+ -0.06062605317699284
+ ],
+ [
+ -0.2531070917953027,
+ -0.4765749565331158,
+ -0.2506243284178248,
+ 0.043042623382832323,
+ -0.1031519349239305,
+ -0.043365985173845614,
+ 0.2577994594275776,
+ 0.07242768600588714
+ ],
+ [
+ 0.1195978745459196,
+ -0.11872572368824294,
+ -0.7474948832637296,
+ 0.10846227513943046,
+ 0.1533754604514758,
+ -0.052071369467451896,
+ -0.10952699474023886,
+ 0.0077919434555811014
+ ],
+ [
+ -0.1227228987073617,
+ -0.1682224636064555,
+ 0.5278867021842782,
+ -0.4205576545508867,
+ 0.3522714598073235,
+ -0.05329324569136902,
+ 0.13801977089767611,
+ -0.04182666582875632
+ ],
+ [
+ -0.010739235328652216,
+ -0.023777590077686397,
+ -0.006470345667673349,
+ 0.1920451118981094,
+ 0.033841663649216695,
+ -0.1933492058494036,
+ -0.04465417176751928,
+ -0.01631206621919113
+ ],
+ [
+ 0.13197994530639542,
+ -0.46941853024572894,
+ -0.43634946619706877,
+ 1.0088745642155608,
+ -0.10500898248059033,
+ 0.014407570234104257,
+ 0.014629196815531615,
+ -0.016241611155056953
+ ],
+ [
+ 0.00413646725100167,
+ 0.034793236080732516,
+ -0.02128984472707265,
+ -0.033285033896115514,
+ -0.03046356243693403,
+ -0.046979280729592184,
+ -0.01733883336397922,
+ -0.04348027115904769
+ ],
+ [
+ -0.024847032520046775,
+ 0.003176845661814513,
+ -0.0019802019310632833,
+ 0.054357740325869146,
+ -0.03195080629762917,
+ 0.027848461243407983,
+ 0.014089898473186535,
+ -0.019178412970385816
+ ]
+ ]
+ ]
+ },
+ {
+ "scratch_banks": 2,
+ "seed": 1,
+ "adam_iterations": 700,
+ "control_slots": 12,
+ "parameters": 768,
+ "normalized_mean_square_residual": 0.005552143094029158,
+ "maximum_entry_residual": 0.78715481507228,
+ "minimum_control_singular_value": 0.02006130128165655,
+ "internal_source_feedback": true,
+ "internal_feedback_coefficient": -14.003488206950328,
+ "numerical_hit": false,
+ "controls": [
+ [
+ [
+ 1.3009056443506815,
+ -4.841058299245729,
+ 1.6700149659794057,
+ 1.7217216922038838,
+ -0.0008400804067813406,
+ 0.00019069029624832053,
+ 0.02702023897125544,
+ 0.03340797212532899
+ ],
+ [
+ 0.23711925740937018,
+ 0.5574977453736151,
+ -2.5856597798968712,
+ -1.0772490410842186,
+ -0.3474390589801397,
+ -0.07528810868316521,
+ 0.017099193033576654,
+ 0.030381995160546963
+ ],
+ [
+ 0.15706471374516862,
+ 1.1863757796899392,
+ 0.9186244125115277,
+ -0.32799746814560204,
+ 0.552183507559671,
+ -0.21265008746006073,
+ -0.05218378956552834,
+ -0.05300121226085484
+ ],
+ [
+ 0.15150207540174912,
+ -0.22759956083304425,
+ 0.8678623641368841,
+ -0.32391936282498573,
+ 0.06963096931104407,
+ 0.1352723674416755,
+ 0.03116249019910803,
+ 0.02559123939103338
+ ],
+ [
+ 0.013126592816509604,
+ 0.26051803737663937,
+ -0.9487550876539124,
+ -0.19798457927853905,
+ 0.576987481506552,
+ -0.07300889223734883,
+ 0.010461962611009614,
+ -0.010492988233570723
+ ],
+ [
+ 0.051718666556434686,
+ 0.5536504551447274,
+ -0.8730387325028953,
+ -0.2762296312694581,
+ -0.14564054662356796,
+ 0.3313382251642017,
+ -0.029885519433192367,
+ 0.021671338529942203
+ ],
+ [
+ -0.16516779460037748,
+ -1.5729010428529604,
+ 2.139835034663798,
+ 0.7026410772080313,
+ 0.04343829295222222,
+ 0.5839777225463227,
+ 0.032073097075126906,
+ 0.0016118514323218282
+ ],
+ [
+ 0.007584459851937787,
+ 0.10991032714269577,
+ -0.7857069659313867,
+ -0.17121114554057382,
+ -0.1923726978893049,
+ -0.0751980605469012,
+ 0.03481648285752012,
+ 0.023579715225041504
+ ]
+ ],
+ [
+ [
+ -0.1396349838790131,
+ 0.3861744034684762,
+ 3.497944826663559e-06,
+ -3.439159718086625e-06,
+ -2.9062642089987935e-06,
+ -1.895033655580253e-06,
+ -5.624129603685433e-06,
+ -3.129084387167862e-05
+ ],
+ [
+ -0.001286370785843292,
+ -0.0005117406353623082,
+ 1.3892498499197682e-06,
+ 1.1359092785062468e-05,
+ -4.992024353436141e-06,
+ -2.5397356930567404e-07,
+ 3.290670944166095e-05,
+ 1.9146431218171142e-05
+ ],
+ [
+ -0.0001946039914992244,
+ -0.001218077701468848,
+ 1.1239457681915868,
+ -0.1977086916815455,
+ -0.5661445935614915,
+ 0.3134168924986967,
+ -0.25937658758842486,
+ 0.2012920375410735
+ ],
+ [
+ -0.0006423809367091327,
+ 0.000542434512841767,
+ 0.952628862465876,
+ -0.30195549367693764,
+ -0.40298846922090964,
+ -0.8750283798126532,
+ 1.7278551384663186,
+ -0.849190085181573
+ ],
+ [
+ 0.00013604148945010265,
+ 0.0020823692352471375,
+ -0.36073486195495197,
+ 0.0031665207553886296,
+ 0.3540383071144875,
+ -0.03396890437621239,
+ -0.012938750023741868,
+ -0.14382949206605875
+ ],
+ [
+ -3.509737981198029e-05,
+ -9.321235468992572e-05,
+ 0.4425866419553526,
+ 0.015569087984146425,
+ 0.05066522434956141,
+ 0.16492237080168415,
+ 0.37095333963135446,
+ -0.054961974149454404
+ ],
+ [
+ -0.001032635504390659,
+ 5.7483957614738433e-05,
+ 1.7140929333561923,
+ 1.3321920161046874,
+ -1.0071011887077888,
+ -1.1706025861968337,
+ 1.6513379339233145,
+ -1.1182117431041876
+ ],
+ [
+ 0.00014118217746771628,
+ -0.00018615190554348765,
+ -0.5886429741617705,
+ 0.09938525326932424,
+ 0.3953469947914522,
+ 0.05053867634187042,
+ -0.25786574488605934,
+ -0.975347549595127
+ ]
+ ],
+ [
+ [
+ -0.10382301441531387,
+ 0.14554036999878553,
+ 0.07603041009986031,
+ 0.013726771174818604,
+ 0.17253573864501395,
+ -0.22552748316433407,
+ 0.011080386110985475,
+ 0.027994505806666667
+ ],
+ [
+ -0.3019317565869708,
+ 0.2791658818445223,
+ -0.0709385407003933,
+ -0.0589067523380419,
+ -0.07206816665926999,
+ 0.27019266299207023,
+ 0.027422823140153384,
+ -0.021207631261721815
+ ],
+ [
+ -3.7419401889183244e-05,
+ 2.857559162820472e-05,
+ 0.9314695345580519,
+ -0.15634986937485817,
+ -0.16915051370720038,
+ 0.18536000109688783,
+ -0.3063082584385748,
+ 0.01675363673352607
+ ],
+ [
+ 6.70709619343493e-06,
+ -7.555283939694335e-05,
+ 1.1958935239486763,
+ 0.3057542264148921,
+ -0.41613971745916395,
+ 0.24824137344287217,
+ 2.4871763517924337,
+ -0.3865934585745447
+ ],
+ [
+ -0.16743465669981966,
+ 0.2027909626939759,
+ 0.25403882940002964,
+ 0.2984307004221649,
+ 0.6647357839973813,
+ -0.04278970361582556,
+ -0.030985764420754378,
+ -0.1368597139573422
+ ],
+ [
+ 0.09177678078185808,
+ -0.13765291034032634,
+ -0.2671498642906894,
+ -0.09775663001761542,
+ -0.1862257525555367,
+ 0.39908158440783637,
+ 0.06470175787734732,
+ 0.18282053279638805
+ ],
+ [
+ -0.1829898772946185,
+ -0.2531446312765149,
+ -0.11824303558105125,
+ -0.47464502827195804,
+ -0.4198127848311453,
+ 0.3679836357693263,
+ -0.7172811000402903,
+ 0.24954692091198524
+ ],
+ [
+ -0.06839399031598023,
+ -0.03248633633955147,
+ 0.04393611685892517,
+ -0.03751075352898252,
+ -0.07492625730153542,
+ 0.24013940375672088,
+ 0.07084444122602523,
+ -0.4781560090610759
+ ]
+ ],
+ [
+ [
+ -0.09126020439310305,
+ -0.39186758873524896,
+ 0.09123038672096752,
+ 5.5560294714952356e-05,
+ -0.1317355812289443,
+ 0.2652993945324831,
+ -0.1562343343515889,
+ -0.01835567034357409
+ ],
+ [
+ 0.07250356261696747,
+ 0.16895534015388639,
+ -0.6840623442429211,
+ 0.3182136399314184,
+ -0.01979507626738565,
+ -0.11170677611123027,
+ -0.16182860875324415,
+ 0.01522657499300507
+ ],
+ [
+ 0.21159340929862036,
+ 0.05853682289038098,
+ 0.10140985707021596,
+ -0.2640844458233839,
+ -0.021234578123427526,
+ -0.10057504360084886,
+ 0.08217068428642452,
+ 0.03764094101952916
+ ],
+ [
+ -0.19665925235722068,
+ -0.1925012302546464,
+ 1.0916939582647234,
+ -0.110869790490924,
+ 0.027732439421340065,
+ 0.16475840485278498,
+ 0.11132601212237014,
+ -0.07729329336891529
+ ],
+ [
+ 0.001506957201035177,
+ -0.25251530713746134,
+ -0.11473477242804785,
+ 0.14810878692950258,
+ -0.06367712634433827,
+ 0.0983372000864864,
+ -0.06339436707979433,
+ -0.014994673744875899
+ ],
+ [
+ -0.11969580401514765,
+ 0.09013288819214586,
+ 0.3293674122601596,
+ -0.06236494426589481,
+ -0.2021253921346955,
+ -0.13349336578755133,
+ -0.0704279535540903,
+ -0.27534752306380855
+ ],
+ [
+ -0.03231467740166532,
+ -0.07113515902380435,
+ -0.17621246968793486,
+ -0.14346708516878579,
+ -0.27744325172743717,
+ -0.11439683670733042,
+ -0.36279738415891477,
+ -0.19953411890199588
+ ],
+ [
+ -0.16432293834472123,
+ -0.13597624437976819,
+ 0.09983738779959123,
+ -0.047100834324294204,
+ -0.282371385671047,
+ -0.054411781936879,
+ -0.26543372077708866,
+ -0.34940750176074464
+ ]
+ ],
+ [
+ [
+ -0.29913504962172294,
+ -0.08428486353978774,
+ -0.17347106525117942,
+ -0.009759000622407572,
+ -0.04350283142272842,
+ 0.023362276351252844,
+ -0.14259436166982364,
+ -0.08364966038982105
+ ],
+ [
+ 0.194236140606576,
+ 0.001895567711685488,
+ -0.05887527328935518,
+ 0.010678496390687412,
+ -0.09356557999040516,
+ 0.05582968779705684,
+ -0.008205484850642477,
+ -0.027727044956258037
+ ],
+ [
+ 0.0005581078262258882,
+ 7.85184428362868e-05,
+ 0.022413798299233546,
+ 0.1051870083744776,
+ 0.06431238322387292,
+ 0.0468712494816179,
+ 0.05339089465008345,
+ -0.01048535370104095
+ ],
+ [
+ 0.0009346543358943999,
+ -0.00024379073193188112,
+ -0.11218214410987809,
+ -0.08713880592597426,
+ 0.030402211406395794,
+ -0.0098295824099053,
+ 0.04312536550770163,
+ 0.13704276289762685
+ ],
+ [
+ 0.008727174898523898,
+ -0.0027671904462954803,
+ 0.08111938347371984,
+ -0.11372323834772996,
+ -0.2513573831612263,
+ 0.058803722262555896,
+ -0.07982874857685285,
+ -0.17381047667603874
+ ],
+ [
+ -0.03699480605841829,
+ -0.04534875274487039,
+ -0.1580165157971769,
+ -0.000977053755876165,
+ -0.004183369543077911,
+ -0.18707164651942113,
+ -0.06037540740256183,
+ -0.15363925550002044
+ ],
+ [
+ -0.07615274049014122,
+ 0.017856655116408986,
+ -0.02907102540909177,
+ 0.05760094854562207,
+ -0.24813144254737096,
+ -0.2947752213370959,
+ -0.6104157758095926,
+ -0.46725463691181035
+ ],
+ [
+ -0.06975044883333346,
+ 0.06028847797629918,
+ -0.0622009206847805,
+ -0.019296996485162813,
+ -0.042442675392660535,
+ 0.049043002082576705,
+ -0.28538910287530345,
+ -0.6392209372231863
+ ]
+ ],
+ [
+ [
+ -0.24820443540656015,
+ -0.19680013034031588,
+ -0.22869291044344156,
+ -0.24797453702291358,
+ -0.23940732986169208,
+ -0.0668224046178235,
+ 0.2639489275440791,
+ 0.2947892519949999
+ ],
+ [
+ 0.34291985311284456,
+ -0.17393562952772657,
+ -0.01710784683442873,
+ -0.05354810307097693,
+ -0.012630808874774262,
+ -0.003764793807354379,
+ 0.06235447244988949,
+ -0.20840114984711636
+ ],
+ [
+ 0.004078336068855783,
+ -0.24178965326552324,
+ -0.3192530191936043,
+ -0.1875127960694679,
+ -0.006373327956059604,
+ 0.05946526721147921,
+ 0.10892401032038465,
+ 0.17401975320151838
+ ],
+ [
+ -0.17696228955118026,
+ 0.18860319919603694,
+ -0.16609915219330712,
+ -0.20388735897822774,
+ 0.08674578785926673,
+ -0.09085532259132864,
+ -0.07186954585154806,
+ -0.06245627795627988
+ ],
+ [
+ 0.07055574911750313,
+ 0.006201423718979404,
+ -0.08382625104481492,
+ 0.03106167611686486,
+ -0.5321748985965791,
+ 0.06754537304066312,
+ -0.12326336127145973,
+ -0.036289308100717906
+ ],
+ [
+ -0.08765548461827068,
+ -0.002017897799441294,
+ -0.0008257838181966928,
+ 0.0338601477285704,
+ 0.08865158746187991,
+ -0.2373467727084883,
+ -0.014914230568054482,
+ -0.09163573306118904
+ ],
+ [
+ -0.07799281692938197,
+ -0.19818173032381242,
+ -0.21270120581054475,
+ 0.4816876140577138,
+ 0.032610414236606364,
+ -0.09698932530660324,
+ -0.5926618027114399,
+ 0.07893113469417375
+ ],
+ [
+ -0.11933085644901449,
+ 0.08236693402555058,
+ 0.14438487879491152,
+ -0.23135036402612508,
+ 0.030391100859610692,
+ -0.22125844620178067,
+ -0.17901330054860953,
+ -0.18661193493226838
+ ]
+ ],
+ [
+ [
+ -0.24901698569552258,
+ -0.33068407639804825,
+ 0.006073515368621604,
+ 0.04422452917576965,
+ -0.2839322201207738,
+ 0.20791680448923394,
+ -0.010310077538950135,
+ 0.2982264671167167
+ ],
+ [
+ -0.1385075929691971,
+ -0.24313023488498595,
+ 0.004716521134899048,
+ -0.19843921759415042,
+ -0.2890512003098808,
+ -0.0026154538943081868,
+ -0.002850708648638698,
+ 0.1826081345720562
+ ],
+ [
+ -0.07828155581116046,
+ -0.04261439332828654,
+ 9.037932219662424e-06,
+ 0.3381806185826657,
+ -0.306316870806086,
+ -0.081973005654374,
+ -0.056168387026451286,
+ 0.05747639145236999
+ ],
+ [
+ 0.0009590056452240653,
+ 0.02115526001382007,
+ 0.01745063169263288,
+ -0.18782609565059952,
+ 0.028784040577174985,
+ 0.41470795414952566,
+ -0.08017068973113894,
+ -0.10903793204241281
+ ],
+ [
+ -0.07658315564670451,
+ -0.07443504186807637,
+ 0.11974198216425871,
+ -0.07119510878192176,
+ -0.15076385906018724,
+ -0.09270338860380889,
+ -0.07375573183515609,
+ 0.07828863561839003
+ ],
+ [
+ -0.0133777688747297,
+ 0.08985775424041298,
+ 0.007859856578528647,
+ -0.32279492936018617,
+ -0.0160041931248993,
+ -0.11631510422965534,
+ -0.15002267876750344,
+ -0.14960911110290828
+ ],
+ [
+ -0.034014473200812245,
+ -0.011924595094965077,
+ -0.0025501022285343037,
+ -0.0032704120357293026,
+ 0.17140443587188622,
+ -0.13538361730881304,
+ -0.48824564919551705,
+ 0.048091885976417954
+ ],
+ [
+ -0.08770102231526608,
+ 0.15533945612218278,
+ 0.01645212482324704,
+ -0.006497343318756077,
+ 0.08967158462918821,
+ -0.12990967712808138,
+ -0.45526647672374954,
+ -0.23374624533560406
+ ]
+ ],
+ [
+ [
+ -0.2720618020404849,
+ -0.2192899034720358,
+ -0.006901115098340118,
+ -0.04110246783671233,
+ -0.1901029983581508,
+ -0.05322886617958016,
+ -0.14461036574316893,
+ 0.26590283860265146
+ ],
+ [
+ -0.18213425444445985,
+ -0.2779958417390376,
+ 0.052907803715847475,
+ -0.040922402191185855,
+ -0.12708402907138946,
+ -0.10346100900532368,
+ -0.30798432795162667,
+ 0.22017556382937215
+ ],
+ [
+ -0.006202567016203081,
+ -0.040888165531533995,
+ -0.1834031780542751,
+ -0.025657332692471835,
+ 0.009907525269653189,
+ 0.008604217989596449,
+ 0.04480150153169929,
+ -0.035644414974004085
+ ],
+ [
+ 0.16741130296600654,
+ -0.026397371267719835,
+ -0.030272799820073353,
+ 0.18779457600695507,
+ -0.04894568305840578,
+ -0.01733683421600383,
+ -0.05508693722886589,
+ 0.07351994696065935
+ ],
+ [
+ -0.03626299303740718,
+ -0.00206879470987738,
+ -0.00011257823957997301,
+ -0.000209636858852297,
+ -0.16365947834158456,
+ -0.0222221501960831,
+ 0.0024917285410541133,
+ 0.017531532763174762
+ ],
+ [
+ 0.026029847325689554,
+ 0.0005419395437205127,
+ 0.0001626884461835405,
+ 5.5972571236672356e-05,
+ 0.060544088653618336,
+ -0.5301427962087482,
+ -0.006991475214098207,
+ -0.031643176660438865
+ ],
+ [
+ -0.07892547477339958,
+ -0.23410469270671144,
+ -0.05688551198896132,
+ -0.06449115268924273,
+ 0.052981517953893977,
+ 0.07837500066478105,
+ -0.6007497795317512,
+ -0.18143170623084406
+ ],
+ [
+ -0.15844944616548684,
+ 0.08290957237638759,
+ 0.0060371482094947896,
+ 0.03896394748630161,
+ -0.028100584051750945,
+ 0.030529846952667552,
+ -0.48328575483591163,
+ -0.2526162942153057
+ ]
+ ],
+ [
+ [
+ -0.24460093271398314,
+ -0.19481365230936365,
+ -0.06058109518700041,
+ -0.23364912710054703,
+ 0.1914792203000696,
+ -0.13917762260959526,
+ -0.11303770232420647,
+ 0.12954017656813743
+ ],
+ [
+ -0.3080234666121512,
+ -0.0642073260660065,
+ -8.570399865965042e-05,
+ -0.031372569465374714,
+ 0.060103342114454374,
+ -0.011712018095548601,
+ -0.18806513101699354,
+ 0.20375916608670472
+ ],
+ [
+ -0.04137196988466508,
+ 0.0028904081351618935,
+ -0.11820418009426793,
+ 0.06874344512071069,
+ 0.2619484931994799,
+ 0.0051491860018622404,
+ -0.06418979689255352,
+ 0.036298252777729904
+ ],
+ [
+ -0.2135224936951306,
+ 0.026197491819522172,
+ -0.0014346852633219799,
+ -0.19109132183197547,
+ -0.07898325810379875,
+ -0.38070063202771837,
+ -0.04222024138083053,
+ 0.08532848336893345
+ ],
+ [
+ 0.003519548271081502,
+ -0.00981154759973571,
+ -0.1581946437828676,
+ -0.030838833657001057,
+ -0.20884564195578725,
+ -0.01136186257123597,
+ -0.0020714511243422134,
+ -0.0035633299980671264
+ ],
+ [
+ -0.1917324540724213,
+ -0.017513618734910984,
+ -0.0025596513123358235,
+ 0.1615552711520368,
+ 0.04133762472723834,
+ -0.32484846851858945,
+ 0.03465243080312991,
+ -0.0015171588820438097
+ ],
+ [
+ -0.2864017835629444,
+ -0.043243996343978595,
+ -0.04924586635986747,
+ -0.01517087000084505,
+ -0.056100277245643745,
+ 0.393697447990649,
+ -0.7052962693192741,
+ 0.28676416772186664
+ ],
+ [
+ -0.26354787440717176,
+ -0.011547665209359433,
+ 0.07253651402745734,
+ -0.060078689223923405,
+ -0.3428734034657826,
+ 0.3411794683900044,
+ -0.3747065813705497,
+ -0.27324863466784416
+ ]
+ ],
+ [
+ [
+ -0.28515231527002677,
+ 0.24433457601973296,
+ -0.003513131534958671,
+ 0.20846513475456427,
+ 1.1157360927075129e-06,
+ 0.0034664453509160027,
+ 0.17113553007862614,
+ 0.19383347926203795
+ ],
+ [
+ 0.015183076157256224,
+ -0.14321996210664542,
+ -0.04150649484862547,
+ 0.0032795267851209913,
+ -8.326668050473782e-06,
+ 0.003510216103614611,
+ -0.07070828869322478,
+ 0.026977484614674103
+ ],
+ [
+ 0.060611202009041666,
+ 0.0372761045807297,
+ -0.10352862543851665,
+ 0.02381563273927071,
+ -1.1995350732684479e-05,
+ 0.00042434229227151127,
+ -0.05118142408674344,
+ -0.023407836636429452
+ ],
+ [
+ 0.06282976580634714,
+ 0.022098254520692973,
+ -0.1459950966233697,
+ -0.312975999490793,
+ -5.5647424397498716e-05,
+ -0.0017621044248391482,
+ -0.006423435706502919,
+ 0.013314137220980534
+ ],
+ [
+ -2.8357380443553706e-07,
+ 2.6582375255345653e-06,
+ -4.556872306187056e-06,
+ 3.6730178003941422e-06,
+ -0.03314934648471866,
+ 0.043795702737062125,
+ -1.586642508649442e-05,
+ -3.59086550690556e-06
+ ],
+ [
+ -1.3811658574916173e-05,
+ -3.4954363156096135e-05,
+ -0.00010917760212998732,
+ -1.3052578078157882e-05,
+ 0.0022727380904059673,
+ 0.000669312019344145,
+ -4.299509925370746e-05,
+ 1.5703482912283324e-05
+ ],
+ [
+ 0.17654291715021922,
+ 0.015346351635675026,
+ -0.0029280683517585743,
+ -0.04375973095595602,
+ -1.1449576147092883e-06,
+ -0.0007290082888360778,
+ -0.840217457859305,
+ 0.056083266923652446
+ ],
+ [
+ -0.23835059895613514,
+ 0.02193509177824734,
+ 0.03827802844745669,
+ 0.20933117299064477,
+ 3.6824506798250994e-05,
+ -0.012126276087921778,
+ -0.28939934849571247,
+ -0.31866751816196554
+ ]
+ ],
+ [
+ [
+ -0.290617313845795,
+ 0.14975504348105118,
+ -0.03736095461915033,
+ -0.065756500536924,
+ 0.27271200474965557,
+ -0.1337377656599093,
+ -0.10881282202247254,
+ 0.15701447616886674
+ ],
+ [
+ -0.07575577317006289,
+ -0.2695899765904877,
+ -0.07085066155950008,
+ -0.029023623969422024,
+ 0.06128959838807899,
+ 0.044082023171306974,
+ -0.21185691198391912,
+ 0.06604680446843579
+ ],
+ [
+ -0.03304265808108862,
+ -0.011296222684488853,
+ -0.1663001750064644,
+ 0.023662093901908172,
+ -0.001139535923605037,
+ 0.00032091413280091154,
+ -0.01854819512932059,
+ 0.014574646472586827
+ ],
+ [
+ -0.008412497944401232,
+ -0.011440620596990025,
+ -0.30339137068453476,
+ -0.2889650762040421,
+ 0.000702286554627592,
+ -0.0011396608696414821,
+ 0.026741847231146663,
+ -0.1218820579709939
+ ],
+ [
+ -0.2903884641975028,
+ -0.18755339553954103,
+ 0.011477167392067498,
+ -0.0017269779658688606,
+ -0.16822498521468834,
+ -0.10644496019023862,
+ -0.059739728632829836,
+ -0.04436268905641916
+ ],
+ [
+ -0.14331146976772072,
+ 0.09629685455946083,
+ -0.0038285966876644255,
+ 0.009421736688025059,
+ 0.056464761918766156,
+ 0.05422698992338468,
+ -0.030519744518204033,
+ -0.035966561601352996
+ ],
+ [
+ -0.08958199238785071,
+ -0.42837475148096504,
+ 0.02613168298784582,
+ -0.011005782361295043,
+ -0.30469268871141636,
+ 0.29445532876788627,
+ -0.8528415734692795,
+ 0.08178945876772105
+ ],
+ [
+ -0.02756805374883522,
+ 0.04347676581567081,
+ -0.11239717260051899,
+ -0.22037147380937422,
+ 0.020799590454820136,
+ -0.05189929437069858,
+ -0.2288379268945999,
+ -0.31196174794550696
+ ]
+ ],
+ [
+ [
+ -0.6046862597673283,
+ 0.019692237818727504,
+ 0.24155656110779708,
+ -0.022536697093511984,
+ -0.1198014738347677,
+ 0.05739600570483718,
+ -0.08012554623267917,
+ 0.12588810628082212
+ ],
+ [
+ -0.0946546530401086,
+ -0.43558507747257824,
+ -0.09773157342013823,
+ 0.000609976993793362,
+ 0.07708554752416888,
+ 0.005341580402107418,
+ -0.5117572209008372,
+ 0.08323095690754342
+ ],
+ [
+ 0.14975167157817523,
+ -0.06237353565908276,
+ -0.7008630450228491,
+ 0.023199887073937803,
+ 0.06825567617488688,
+ -0.054063425135421,
+ 0.21752115943679967,
+ -0.047515696530529
+ ],
+ [
+ 0.3952912329133626,
+ -0.25369388428489004,
+ -0.3944790589181378,
+ -0.4002276575558929,
+ -0.7675249364663578,
+ -0.21354166672641034,
+ 0.2727684465722332,
+ -0.10151347135237718
+ ],
+ [
+ -0.14174446541343935,
+ -0.06860361166286258,
+ -0.1425113915654952,
+ -0.08333306077137191,
+ -0.05199648121723554,
+ 0.08224538913820995,
+ 0.06518691383953192,
+ 0.016378581020883118
+ ],
+ [
+ -0.15506054464607877,
+ -0.3389832094605347,
+ 0.15574528119167985,
+ 0.8747565151898227,
+ 0.14882441413921643,
+ 0.0811760875976529,
+ -0.04202407507189176,
+ 0.03406654855535352
+ ],
+ [
+ 0.006265777216699057,
+ -0.020388783200195056,
+ -0.04122389382646726,
+ 0.026417518700821083,
+ -0.020284079889563544,
+ 0.030159688759497254,
+ -0.0005172882926443267,
+ 0.04058708069380145
+ ],
+ [
+ 0.020085900060632916,
+ 0.06655583165159744,
+ -0.014471110850917467,
+ -0.023237884868020375,
+ -0.007729631558074837,
+ -0.035986531969995024,
+ 0.012100260024799253,
+ 0.026682528415177847
+ ]
+ ]
+ ]
+ },
+ {
+ "scratch_banks": 2,
+ "seed": 2,
+ "adam_iterations": 249,
+ "control_slots": 12,
+ "parameters": 768,
+ "normalized_mean_square_residual": 0.013749420101891148,
+ "maximum_entry_residual": 0.6310255368383608,
+ "minimum_control_singular_value": 0.02038508280916272,
+ "internal_source_feedback": true,
+ "internal_feedback_coefficient": -13.991329946894968,
+ "numerical_hit": false,
+ "controls": [
+ [
+ [
+ 0.9185098193627815,
+ 1.430511656146732,
+ 0.5343827741518308,
+ -0.91209891830323,
+ -0.001705527508885064,
+ 0.0005743729647666377,
+ -0.0016092945220883917,
+ -0.01553691089212554
+ ],
+ [
+ -0.024637268255561715,
+ 0.5351710241503406,
+ 0.12240997600790686,
+ -1.0628709202803832,
+ -0.015985094206439107,
+ 0.0373107457816946,
+ -0.014867472231242173,
+ 0.01731762567730664
+ ],
+ [
+ 0.09149002480119969,
+ -0.2619397505282778,
+ 0.786107063258114,
+ -0.19947868908571995,
+ -0.0621613832337066,
+ -0.2707657144681291,
+ 0.051664810331659455,
+ 0.02189509811715679
+ ],
+ [
+ -0.20653754778325076,
+ -1.3127231235132102,
+ -0.28120480213715887,
+ 0.1488547825748341,
+ -0.07914567695454768,
+ 0.10014248380164607,
+ 0.009442250955198428,
+ 0.0399036714633404
+ ],
+ [
+ 0.026405744184598026,
+ -0.01851527874369585,
+ -0.013211768156647898,
+ -0.007632499135408621,
+ 0.1726591590545787,
+ -0.2520703501787466,
+ -0.028240078955525497,
+ -0.012738681578911842
+ ],
+ [
+ 0.1703485326489874,
+ -0.36840901132803444,
+ -0.025462942120846436,
+ 0.15237432840349735,
+ 0.14642297030373808,
+ 0.10313630026824427,
+ 0.007555503228919993,
+ 0.010111682446051665
+ ],
+ [
+ 0.40152669013173137,
+ -0.7847251209453184,
+ -0.7347794548104993,
+ 0.5288453278323939,
+ 0.15115928361036524,
+ -0.09498569977831546,
+ -0.006208568650595214,
+ -0.04158348676376125
+ ],
+ [
+ 0.04308603520282816,
+ 1.3482105878035506,
+ 0.5810672072134635,
+ -1.287224274529653,
+ 0.11535132828835455,
+ 0.3255894852775791,
+ -0.007297060706743193,
+ -0.02076608564699013
+ ]
+ ],
+ [
+ [
+ -0.10892195518229547,
+ 0.012795850662424862,
+ 0.0017501477544984512,
+ -0.0011845709401770163,
+ -7.940555543987698e-05,
+ -0.0008647850181059382,
+ -0.0013283201775127504,
+ 0.0012289632511210038
+ ],
+ [
+ 0.011458443826615552,
+ -0.0013374515567596027,
+ -0.0006954430544389578,
+ 0.0008819463982987475,
+ -0.0004009499273942253,
+ 0.000337217100250248,
+ 0.0007700264820318073,
+ -0.00014857060033023127
+ ],
+ [
+ -0.0006367440626488562,
+ 5.086811404699986e-06,
+ 0.5480129381818714,
+ 0.062099711891946,
+ -0.010870619313228724,
+ 0.1339352089929187,
+ -0.14267931372369705,
+ 0.13047487019282059
+ ],
+ [
+ 0.0018662547481011346,
+ -8.267156327425922e-05,
+ -0.4905922323560419,
+ 0.24991552273907786,
+ -0.16276603189531114,
+ 0.8038320126902664,
+ 1.2276900017020054,
+ -2.0374135451662614
+ ],
+ [
+ 2.116393790026216e-05,
+ -0.00011256420868914412,
+ 0.08193812872359942,
+ 0.0063379682987861775,
+ 0.1936135022239904,
+ -0.11040675197233608,
+ 0.0076444217583049225,
+ -0.08363993386796223
+ ],
+ [
+ 0.00045852619490716474,
+ 0.00011528913528429717,
+ 0.055355903627524884,
+ 0.3378663516752942,
+ 0.1266810675595459,
+ 0.05665632878440355,
+ 0.09805471306106313,
+ -0.5463531326048296
+ ],
+ [
+ -0.00029765991961799843,
+ 0.00014584397078229507,
+ 0.03518620587970404,
+ -0.5495751214978479,
+ 0.08279943053160774,
+ -0.20346109540994547,
+ -1.0523040410367075,
+ 0.5162321372377222
+ ],
+ [
+ -0.0015999520606658376,
+ 8.801442641717363e-05,
+ 0.23795876199286303,
+ -1.3294859205723224,
+ -0.06208214554591605,
+ 0.27059657068224396,
+ -1.5252708781808584,
+ 0.3940808605031297
+ ]
+ ],
+ [
+ [
+ -0.07244248732213503,
+ -0.06866091515363758,
+ -0.09093001262603864,
+ -0.053991610066100454,
+ 0.272269946587459,
+ 0.36150655036636226,
+ -0.122868863288143,
+ 0.10987903448565955
+ ],
+ [
+ 0.08693644200167128,
+ 0.22664738811644516,
+ 0.009925823397089957,
+ 0.07432339888210736,
+ -0.13749095868955485,
+ 0.007615133766528419,
+ 0.016693736483770438,
+ 0.07961587200695017
+ ],
+ [
+ 4.3339097214860605e-05,
+ -0.0023209410413358774,
+ 0.21217037733386337,
+ 0.10402304893995361,
+ 0.06769846346456579,
+ 0.3805283212647971,
+ -0.23146773967705148,
+ -0.21233433042348002
+ ],
+ [
+ -4.675913230662237e-05,
+ 0.002101984290056916,
+ -0.8455779847230575,
+ 0.6667421139763512,
+ 0.0685691562056958,
+ 1.132592705926275,
+ -0.8202491516448118,
+ -2.5525575843186914
+ ],
+ [
+ -0.12976035152292018,
+ 0.1132246260711678,
+ -0.06932093560129078,
+ 0.02637282349411572,
+ 0.28018340627573707,
+ -0.009912506101810601,
+ -0.06957370240302742,
+ 0.07572642817016634
+ ],
+ [
+ -0.3335688495814034,
+ -0.2366836817816365,
+ -0.17873155302115418,
+ -0.17523264675066177,
+ 0.18114574122595872,
+ -0.20577945578666088,
+ -0.229089489708321,
+ 0.14317043914679342
+ ],
+ [
+ 0.08088296705861239,
+ -0.3577663315702591,
+ 0.016482148983021954,
+ -0.08289749915423368,
+ 0.12826680809562954,
+ -0.1159403766357708,
+ -0.9502551893334327,
+ -0.15960925032651524
+ ],
+ [
+ 0.1407069511150451,
+ -0.15862200697024584,
+ -0.11125825383013592,
+ 0.32647059769894105,
+ 0.10412371837328287,
+ 0.5958617241621987,
+ -0.12625624174636188,
+ -0.35922305053446796
+ ]
+ ],
+ [
+ [
+ -0.12050661074246288,
+ -0.011753741393544506,
+ 0.12018014374663195,
+ -0.00394574341109431,
+ -0.12462047540238771,
+ -0.4789427092879001,
+ 0.0897786964074421,
+ 0.05650355578151204
+ ],
+ [
+ -0.0049510501621909475,
+ 0.016883638918229128,
+ 0.2724506876720813,
+ 0.26388905050860445,
+ 0.09561671375099288,
+ 0.02534898944090359,
+ -0.04116395041220088,
+ -0.08801727091036603
+ ],
+ [
+ 0.18969171824024783,
+ -0.031063006094718026,
+ 0.32346487705500554,
+ 0.11169343125159262,
+ 0.07139984216768788,
+ 0.13169717849700185,
+ 0.07530451372557748,
+ -0.17351656087803782
+ ],
+ [
+ -0.09381308804633699,
+ 0.02289598035991448,
+ 0.11892559731661546,
+ 0.005182765725561091,
+ -0.17177066378711284,
+ -0.05048697044311272,
+ 0.22415373543751282,
+ 0.139400869170501
+ ],
+ [
+ -0.0036879260184746986,
+ -0.047641305283779335,
+ -0.0035137580236275934,
+ -0.005986732584554195,
+ -0.12830450037118507,
+ -0.08936552388600458,
+ 0.05515600686526348,
+ 0.06903994112348641
+ ],
+ [
+ 0.12267883911975132,
+ 0.014354142431759712,
+ -0.11279711300975523,
+ 0.18125291743948527,
+ -0.04723697052320465,
+ -0.4301834308646518,
+ 0.09998391602538834,
+ 0.10029861348509286
+ ],
+ [
+ -0.03513023127614264,
+ -0.18338519598030165,
+ -0.2874239148986966,
+ 0.22392836432821986,
+ 0.19991828991448574,
+ -0.3783450037329639,
+ -0.3863883459376814,
+ -0.10667369752951854
+ ],
+ [
+ 0.06962642705809788,
+ -0.15031230184631444,
+ -0.45030378393467074,
+ 0.063472528086359,
+ 0.21806728695757355,
+ -0.051824273933977615,
+ -0.3044126154904799,
+ -0.15619656070229015
+ ]
+ ],
+ [
+ [
+ -0.3389931077876745,
+ 0.09813065301505962,
+ 0.25583428350132204,
+ 0.2876921039955173,
+ 0.15601411435440604,
+ -0.24135901535511448,
+ -0.1228818603941082,
+ -0.20806779203910392
+ ],
+ [
+ 0.02397600874329257,
+ 0.11795237897273655,
+ -0.02991259063009143,
+ -0.004890016805091151,
+ 0.024532584895762963,
+ 0.13861652379948844,
+ 0.04463542008006206,
+ -0.1468366350053075
+ ],
+ [
+ -0.023216265433092863,
+ -0.00033933678850909627,
+ -0.0916729378060665,
+ 0.11489279823600727,
+ -0.09655263972231776,
+ 0.10054335716100807,
+ -0.16095746694316065,
+ -0.1252289341465414
+ ],
+ [
+ 0.031174421359294352,
+ -0.0008208072862703316,
+ -0.0679807060967472,
+ -0.07447503458703165,
+ -0.01763380271757046,
+ 0.17724372091125543,
+ 0.16504458949704473,
+ 0.06819001645846341
+ ],
+ [
+ 0.13186405044976784,
+ -0.20661706495119617,
+ 0.09504091035230393,
+ 0.038003348094827735,
+ -0.20971730623352614,
+ -0.1152386335297638,
+ 0.0352248565017123,
+ 0.14877787482564786
+ ],
+ [
+ 0.048321224252006016,
+ -0.25113016942544103,
+ 0.24659973899764942,
+ 0.06556349394999135,
+ -0.31074534142898835,
+ -0.3234932495825495,
+ -0.2053248880702944,
+ 0.11788081619869357
+ ],
+ [
+ -0.03404630477639286,
+ -0.3255838263580341,
+ 0.42617981413428335,
+ 0.09088959902071979,
+ -0.024237583010502897,
+ -0.2897033537952326,
+ -0.3695778495692443,
+ -0.2858889938631689
+ ],
+ [
+ -0.14328830505558435,
+ 0.026878860973615564,
+ 0.22984650994690825,
+ 0.06936244337657745,
+ 0.3318928715091907,
+ -0.07811721100270791,
+ -0.25609617431349396,
+ -0.350608884925905
+ ]
+ ],
+ [
+ [
+ -0.2871002798710378,
+ 0.0993929303143119,
+ -0.16357212637943805,
+ 0.13929588513835903,
+ 0.10278925891491292,
+ 0.053813762798223655,
+ -0.15132743465226067,
+ 0.25760125013119217
+ ],
+ [
+ -0.04988726806512148,
+ -0.09053974661101592,
+ -0.03844161764907562,
+ -0.41560751816416647,
+ -0.24856280785409304,
+ -0.19811584335721638,
+ 0.002776838237956206,
+ 0.20216128313623788
+ ],
+ [
+ 0.03799395829602906,
+ 0.11729315216566091,
+ -0.30931149841520594,
+ 0.05885250811211557,
+ -0.16203305911798901,
+ -0.13508388034831642,
+ 0.043895616310156475,
+ 0.21438704822418087
+ ],
+ [
+ 0.05460152817629083,
+ 0.12845157374856203,
+ -0.08809973436645223,
+ -0.27852915283332225,
+ -0.04876613493926139,
+ -0.03345794766745667,
+ -0.07746606399138987,
+ 0.060616897213094476
+ ],
+ [
+ -0.032678379197666266,
+ -0.02481101540624703,
+ -0.054562230347874184,
+ -0.02711944421145416,
+ -0.3056798011644491,
+ -0.12570677541403197,
+ -0.028026555181847372,
+ 0.2589113765981467
+ ],
+ [
+ 0.16156117819185975,
+ -0.24893176513677742,
+ -0.06342635566693386,
+ -0.39537108779816793,
+ -0.12756835455855792,
+ -0.4947519430559124,
+ -0.30496735661379043,
+ 0.14636852654553517
+ ],
+ [
+ -0.044960290063213705,
+ -0.02761815720032683,
+ -0.24531337318390278,
+ -0.6038576036339862,
+ 0.21871216604632485,
+ 0.08903403431039644,
+ -0.6628409814493402,
+ -0.09580627350357615
+ ],
+ [
+ -0.20966612597598905,
+ 0.4101654782794972,
+ 0.09795803810073436,
+ 0.5316712780221025,
+ 0.23369001738249576,
+ -0.08501314209184713,
+ -0.25961778805716923,
+ -0.335187721051268
+ ]
+ ],
+ [
+ [
+ -0.23433943994736886,
+ 0.13126950022613448,
+ 0.025917559544250183,
+ -0.37517048284942256,
+ -0.14185560600362945,
+ -0.08371459426962431,
+ 0.014245146535487894,
+ 0.27937434747085077
+ ],
+ [
+ -0.010079183126926355,
+ -0.022717502028885176,
+ -0.009598121400253618,
+ 0.07025447334343218,
+ -0.12092228529775001,
+ 0.0779389438676355,
+ 0.3145618000355005,
+ 0.10461001357968373
+ ],
+ [
+ 0.0045477906628063735,
+ 0.04504879558893316,
+ 0.00037303412039748436,
+ -0.18416599021606705,
+ -0.2054725771679767,
+ 0.07523626215494154,
+ 0.017678065675625076,
+ 0.1469381393370151
+ ],
+ [
+ 0.007982378475135356,
+ -0.011069787872621454,
+ 0.012417881742252133,
+ -0.0421332910199367,
+ -0.051142982194906275,
+ 0.004266404822195007,
+ 0.02582705609192258,
+ 0.02306103711957529
+ ],
+ [
+ 0.04290589837937944,
+ 0.07851252425366352,
+ 0.10198719299086086,
+ 0.06897896260850109,
+ -0.0030090419381213693,
+ 0.05123192132051318,
+ 0.05614910472832071,
+ 0.18676207359292013
+ ],
+ [
+ -0.11938394820293081,
+ -0.019334421863798187,
+ -0.03272499617905639,
+ -0.03970061057119808,
+ -0.09899525273186185,
+ 0.10632381193950978,
+ -0.3027863038474914,
+ 0.2450409256316576
+ ],
+ [
+ 0.07429532126534082,
+ 0.01984605615594968,
+ 0.008525988102800823,
+ -0.006094733431920519,
+ 0.04853411040762001,
+ -0.03265801629118857,
+ -0.5215797497946467,
+ -0.09834053212771941
+ ],
+ [
+ -0.1787805572604621,
+ 0.13784868897227529,
+ 0.0156849265986658,
+ -0.20651750004860264,
+ -0.0665839773203268,
+ 0.06936632394089784,
+ -0.3535770042638284,
+ -0.2639461931373513
+ ]
+ ],
+ [
+ [
+ -0.30181501299947694,
+ -0.06603774977874491,
+ 0.007915014292878202,
+ 0.05027124036474252,
+ -0.26633269483265454,
+ -0.11843419405270415,
+ -0.3212674296103932,
+ 0.2366694685298814
+ ],
+ [
+ 0.060240677210195506,
+ -0.15202356829236593,
+ 0.0056559701074761,
+ -0.12545890880134924,
+ 0.06045191518021182,
+ -0.021550264079312858,
+ 0.09644526799793492,
+ -0.030420567459804728
+ ],
+ [
+ 0.0027946736399535052,
+ 0.17272224213298645,
+ -0.24773635890699192,
+ -0.19337481375771773,
+ 0.04364689582777897,
+ 0.022711382556113578,
+ -0.08440154308131723,
+ -0.08330274391234943
+ ],
+ [
+ 0.24010349786328036,
+ 0.0965058716150812,
+ 0.007658687210395098,
+ 0.1005250695584132,
+ -0.06691753563648743,
+ 0.019253121909371413,
+ 0.01241455245633508,
+ -0.007697650361963833
+ ],
+ [
+ -0.03162438838159747,
+ -0.012772604172571828,
+ 6.280492383779811e-05,
+ -0.00021456904896438738,
+ -0.1209537996350249,
+ 0.03032459212722094,
+ -0.010108999287342017,
+ 0.0177902366216065
+ ],
+ [
+ 0.08727309057152785,
+ -0.006194626109945798,
+ -0.0002907008496217929,
+ 0.003008826898844777,
+ -0.0019270629920818514,
+ -0.16845743979177988,
+ -0.08402285352088362,
+ 0.10396641210529628
+ ],
+ [
+ -0.27984582096797106,
+ -0.06767810123333567,
+ 0.01942387002986468,
+ 0.30065363734097167,
+ 0.028492426565509984,
+ 0.0682622237687131,
+ -0.38555374159147293,
+ 0.02379966149795203
+ ],
+ [
+ -0.17138031153011293,
+ -0.03314809026958515,
+ -0.022645770167558168,
+ 0.5406222174756357,
+ -0.12271915555464005,
+ -0.4546999762838758,
+ -0.2977416276606505,
+ -0.2787346125112064
+ ]
+ ],
+ [
+ [
+ -0.23897960392966386,
+ -0.1521694908717434,
+ -0.0028464795642241646,
+ -0.29492604721374105,
+ 0.1004199197070052,
+ -0.177107557695329,
+ -0.053543638898607096,
+ 0.23059189254096168
+ ],
+ [
+ 0.07001045025409876,
+ -0.08036811500480716,
+ 0.022584796081407336,
+ 0.013196636682574425,
+ -0.08215629588626122,
+ 0.020802562597105625,
+ 0.057208966055604715,
+ -0.01263808382372385
+ ],
+ [
+ 0.013559103744966194,
+ 0.02692118472997977,
+ -0.2703316919444907,
+ -0.11141874104646092,
+ 0.25723094312255174,
+ 0.003647222427710526,
+ 0.1030852568129459,
+ -0.016650190046562385
+ ],
+ [
+ 0.07272777578235694,
+ -0.019671180849495404,
+ 0.02410222223812618,
+ -0.13649637092064143,
+ 0.033046451109513104,
+ -0.18412953396968668,
+ 0.020987140452510232,
+ 0.21615221735992693
+ ],
+ [
+ -0.019750070081228515,
+ 0.0018407688830334842,
+ -0.041376610166430426,
+ -0.005264770275426641,
+ -0.19013600297473476,
+ 0.03550475838488271,
+ -0.022383467368948036,
+ -0.0005430356658288212
+ ],
+ [
+ -0.22808560604958247,
+ -0.11811937319425782,
+ -0.006591263530348205,
+ -0.09843021644499879,
+ 0.09946206066382451,
+ -0.047725396393350265,
+ 0.05432005955791699,
+ 0.12207580609711152
+ ],
+ [
+ -0.18402551944125417,
+ -0.0745263449451718,
+ -0.04233825161567518,
+ 0.07283957286791438,
+ -0.1973704137474438,
+ 0.23562857351808988,
+ -0.3764744603051065,
+ -0.0826896753701765
+ ],
+ [
+ 0.13338794384616948,
+ 0.17072017968549164,
+ -0.04015571996831383,
+ 0.6280205619063834,
+ 0.14416947323206156,
+ 0.30111238556393727,
+ -0.014897822855231495,
+ -0.7327128911997148
+ ]
+ ],
+ [
+ [
+ -0.252134062090575,
+ -0.1776844891247207,
+ 0.019836000528725594,
+ -0.2863589615411366,
+ -0.0003285153526100122,
+ 0.002541067503036979,
+ 0.13257321630670577,
+ 0.07189019535169852
+ ],
+ [
+ -0.01641537324072891,
+ -0.15387045939111044,
+ -0.07051315028759214,
+ 0.031581858728605146,
+ 2.4887775772344076e-05,
+ -0.00044141981859928533,
+ -0.10413494643244776,
+ 0.07656254516038731
+ ],
+ [
+ 0.06384094242152431,
+ -0.07107857981821938,
+ -0.2403296115628899,
+ -0.02632738768515789,
+ -0.0003651132244745199,
+ 0.00615008859663033,
+ 0.04391916400293192,
+ -0.0007200364096131284
+ ],
+ [
+ -0.2338413396286642,
+ -0.30166983683763166,
+ 0.05174640744465452,
+ -0.2555450055800796,
+ -2.6822034467696e-05,
+ 0.006641162092632552,
+ 0.02192821747050268,
+ 0.19352402529301144
+ ],
+ [
+ -0.0018105981741343368,
+ -0.0009338471908771363,
+ 6.29257140551437e-05,
+ -0.0008871757156683996,
+ 0.045240808092132614,
+ -0.035110446475078466,
+ -0.004700188189508818,
+ 0.001753918141393155
+ ],
+ [
+ 0.07602178963721218,
+ 0.03244716795560721,
+ 0.005418614830909919,
+ 0.012371237875044466,
+ 0.001417544331003209,
+ 0.03771099719424367,
+ 0.10958961587809136,
+ -0.0285988107682073
+ ],
+ [
+ -0.18975316229512743,
+ -0.03674476180053204,
+ -0.04840313943268643,
+ 0.24967155266179342,
+ -4.883484245214254e-05,
+ 0.00028917292694345003,
+ -0.4733548628688671,
+ -0.14910774041958771
+ ],
+ [
+ -0.11822857910409337,
+ 0.24452816532770427,
+ 0.02643628371615158,
+ 0.41249579068450465,
+ -0.00023452926639972832,
+ -0.00040585370471553123,
+ -0.08617427825837423,
+ -0.6546401940318465
+ ]
+ ],
+ [
+ [
+ -0.2583483259202059,
+ -0.08376583416478416,
+ 0.021341032517119586,
+ 0.04425337957217081,
+ 0.1900258441806614,
+ 0.20751575914563933,
+ 0.13650274729200051,
+ 0.030197811527173553
+ ],
+ [
+ 0.027608426037408137,
+ -0.22428720092830517,
+ 0.006566566235129207,
+ 0.05227563913828635,
+ -0.022133159989471973,
+ 0.025576661482089494,
+ -0.11731507520050091,
+ 0.0806196879034992
+ ],
+ [
+ 0.04463141119263826,
+ -0.024634982737140786,
+ -0.24783990940498835,
+ 0.035289399050945414,
+ -0.0006551058820562643,
+ -0.0013681255059649405,
+ 0.000843764805389191,
+ 0.05292765792676075
+ ],
+ [
+ -0.14074805498179158,
+ 0.031349288224915145,
+ 0.08934856790983867,
+ -0.3787283273519518,
+ 0.002369504654336293,
+ 0.003906555956250659,
+ 0.015892144761672892,
+ -0.01318519439967067
+ ],
+ [
+ -0.2810850139687759,
+ 0.09609759709641987,
+ -0.0028515183530585003,
+ -0.06035156893886252,
+ -0.4649003866519534,
+ 0.008982269294488927,
+ 0.10757274415086027,
+ 0.07927429721411818
+ ],
+ [
+ 0.14851740463251767,
+ -0.0400593285607084,
+ -0.005619671062473071,
+ -0.056959249452537115,
+ -0.015380996548478073,
+ 0.12825009789646785,
+ -0.07825293125551655,
+ 0.11274987065794745
+ ],
+ [
+ 0.1099951830419304,
+ 0.39305334115152324,
+ -0.02579658650790394,
+ 0.353778906156773,
+ -0.22152695159303307,
+ -0.05069965175292859,
+ -0.4706530566010037,
+ 0.027712480709383355
+ ],
+ [
+ -0.23281746038541892,
+ 0.0007764237188246448,
+ -0.16733870483715563,
+ 0.2381879997361121,
+ 0.16495128917607638,
+ 0.4915794584229691,
+ -0.17835758298948423,
+ -0.4303860593475986
+ ]
+ ],
+ [
+ [
+ -0.32969466687516036,
+ 0.024445788258979563,
+ 0.2867722869823717,
+ -0.003970108619354766,
+ -0.2081170288359756,
+ -0.0012150484852962182,
+ -0.08667224282357916,
+ 0.006102958199524538
+ ],
+ [
+ -0.06762623497145959,
+ -0.31632153146743586,
+ 0.005333124500209521,
+ -0.23592386480963934,
+ 0.10451525287686352,
+ -0.30563114180686096,
+ -0.29630200841302956,
+ 0.09471112010328332
+ ],
+ [
+ 0.0595511355864254,
+ -0.06414690561460641,
+ -0.5525432646550577,
+ 0.021143376725212982,
+ 0.2413040194158124,
+ -0.051345200078429624,
+ 0.05716366769015633,
+ -0.07652149272886387
+ ],
+ [
+ 0.009193562206392709,
+ -0.25942365041816967,
+ 0.13085132304549268,
+ -0.24474618707029577,
+ 0.1699926360566583,
+ 0.14069871250594757,
+ 0.13242096610753687,
+ -0.1731313951327028
+ ],
+ [
+ -0.08536584658781528,
+ -0.005021748633557572,
+ -0.08593514169204983,
+ 0.16459764344067518,
+ -0.04057458569758216,
+ -0.18008123273830068,
+ 0.13782169899521768,
+ -0.08817888073080726
+ ],
+ [
+ -0.02428238374134915,
+ -0.2818728244600349,
+ -0.24555048405670016,
+ 0.7660306605908139,
+ -0.18220018307832767,
+ -0.2056635302800857,
+ -0.12330877447445233,
+ 0.14422843620060508
+ ],
+ [
+ 0.005867385081502183,
+ -0.0008144241395968146,
+ 0.009497561872024267,
+ -0.025706432928123427,
+ -0.0002564891617930794,
+ 0.004428445047555006,
+ 0.046238154431525874,
+ -0.018173539698317108
+ ],
+ [
+ 0.004508988334132142,
+ -0.00919852912218491,
+ 0.04033695306360752,
+ -0.025196828265870403,
+ -0.013754045347498158,
+ -0.004461924930811299,
+ 0.011039237660209884,
+ -0.03741696792947827
+ ]
+ ]
+ ]
+ }
+ ],
+ "scope": "128 balanced width-two sectors, all seven stage signs independent; one filtered stage; extra owned mode banks may be actively mixed. Necessary discovery model only; no rational or physical all-width endpoint is certified.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 180.13045400002738
+}
diff --git a/research/filtered-native-kappa004/evidence/history-grades.json b/research/filtered-native-kappa004/evidence/history-grades.json
new file mode 100644
index 0000000000..330a164316
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/history-grades.json
@@ -0,0 +1,1192 @@
+{
+ "status": "ACTUAL_PHASE_AWARE_NATIVE_HISTORY_SUPPORT_SCREEN",
+ "source_sha256": "de4b75c106f8a3ebe1ee68b53fe7e64bd218120526e726d9bdfd4dab711dd4b2",
+ "arbitrary_originals": 632,
+ "snapshots_observed": 21480,
+ "unique_physical_source_terms": 2965,
+ "per_origin_grade_counts": [
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "5": 2,
+ "6": 4,
+ "7": 6,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 7,
+ "5": 5,
+ "6": 17,
+ "7": 19,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 3,
+ "4": 2,
+ "5": 3,
+ "6": 8,
+ "7": 9,
+ "8": 3
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 4,
+ "5": 5,
+ "6": 10,
+ "7": 13,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "5": 2,
+ "6": 4,
+ "7": 6,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 4,
+ "4": 6,
+ "5": 5,
+ "6": 16,
+ "7": 18,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 1,
+ "4": 1,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 1,
+ "4": 1,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 3,
+ "4": 4,
+ "5": 1,
+ "6": 10,
+ "7": 12,
+ "8": 3
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 3,
+ "4": 2,
+ "5": 1,
+ "6": 5,
+ "7": 8,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 4,
+ "5": 6,
+ "6": 18,
+ "7": 18,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 3,
+ "4": 1,
+ "5": 2,
+ "6": 4,
+ "7": 6,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 4,
+ "4": 1,
+ "5": 2,
+ "6": 4,
+ "7": 8,
+ "8": 3
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 2,
+ "5": 8,
+ "6": 16,
+ "7": 15,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 4,
+ "4": 1,
+ "5": 2,
+ "6": 5,
+ "7": 10,
+ "8": 3
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 4,
+ "4": 6,
+ "5": 5,
+ "6": 16,
+ "7": 18,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 4,
+ "4": 3,
+ "6": 5,
+ "7": 10,
+ "8": 3
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 4,
+ "4": 5,
+ "5": 6,
+ "6": 16,
+ "7": 18,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 3,
+ "4": 3,
+ "6": 4,
+ "7": 8,
+ "8": 2
+ },
+ {
+ "0": 2,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "4": 4,
+ "6": 8,
+ "7": 8,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 6,
+ "4": 6,
+ "5": 7,
+ "6": 22,
+ "7": 28,
+ "8": 5
+ },
+ {
+ "0": 2,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "5": 4,
+ "6": 6,
+ "7": 5,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 6,
+ "4": 5,
+ "5": 8,
+ "6": 17,
+ "7": 20,
+ "8": 5
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 3,
+ "5": 7,
+ "6": 20,
+ "7": 21,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 3,
+ "4": 2,
+ "5": 1,
+ "6": 5,
+ "7": 8,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 4,
+ "5": 6,
+ "6": 18,
+ "7": 18,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 3,
+ "4": 1,
+ "5": 2,
+ "6": 4,
+ "7": 6,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 3,
+ "5": 7,
+ "6": 20,
+ "7": 21,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 6,
+ "4": 6,
+ "5": 7,
+ "6": 22,
+ "7": 28,
+ "8": 5
+ },
+ {
+ "0": 2,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "4": 2,
+ "5": 2,
+ "6": 6,
+ "7": 5,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 6,
+ "4": 5,
+ "5": 8,
+ "6": 17,
+ "7": 20,
+ "8": 5
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 6,
+ "4": 5,
+ "5": 6,
+ "6": 18,
+ "7": 18,
+ "8": 4
+ },
+ {
+ "0": 2,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "5": 4,
+ "6": 6,
+ "7": 5,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 1,
+ "5": 3,
+ "6": 7,
+ "7": 11,
+ "8": 3
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 4,
+ "4": 3,
+ "6": 5,
+ "7": 10,
+ "8": 3
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 4,
+ "4": 5,
+ "5": 6,
+ "6": 16,
+ "7": 18,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 3,
+ "4": 3,
+ "6": 4,
+ "7": 8,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 1,
+ "4": 1,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 1,
+ "4": 1,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 4,
+ "4": 2,
+ "5": 1,
+ "6": 4,
+ "7": 8,
+ "8": 3
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 3,
+ "4": 2,
+ "5": 2,
+ "6": 4,
+ "7": 9,
+ "8": 3
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 3,
+ "4": 3,
+ "6": 5,
+ "7": 8,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 7,
+ "5": 5,
+ "6": 17,
+ "7": 19,
+ "8": 4
+ },
+ {
+ "0": 2,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "4": 2,
+ "5": 2,
+ "6": 6,
+ "7": 5,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 4,
+ "5": 5,
+ "6": 10,
+ "7": 13,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 6,
+ "4": 7,
+ "5": 6,
+ "6": 18,
+ "7": 21,
+ "8": 5
+ },
+ {
+ "0": 2,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "4": 1,
+ "5": 3,
+ "6": 8,
+ "7": 8,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 4,
+ "5": 2,
+ "6": 7,
+ "7": 14,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 1,
+ "4": 1,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 5,
+ "5": 2,
+ "6": 14,
+ "7": 17,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 2,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "4": 2,
+ "5": 2,
+ "6": 6,
+ "7": 5,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 1,
+ "4": 1,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 4,
+ "5": 2,
+ "6": 7,
+ "7": 14,
+ "8": 4
+ },
+ {
+ "0": 2,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "4": 2,
+ "5": 2,
+ "6": 6,
+ "7": 5,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 6,
+ "4": 7,
+ "5": 6,
+ "6": 18,
+ "7": 21,
+ "8": 5
+ },
+ {
+ "0": 2,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "4": 1,
+ "5": 3,
+ "6": 8,
+ "7": 8,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 3,
+ "4": 2,
+ "5": 2,
+ "6": 4,
+ "7": 9,
+ "8": 3
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 1,
+ "4": 1,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 2,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "4": 2,
+ "5": 2,
+ "6": 8,
+ "7": 8,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 1,
+ "4": 1,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 3,
+ "4": 2,
+ "5": 2,
+ "6": 4,
+ "7": 9,
+ "8": 3
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 3,
+ "4": 3,
+ "6": 5,
+ "7": 8,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 3,
+ "4": 2,
+ "5": 2,
+ "6": 4,
+ "7": 9,
+ "8": 3
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 4,
+ "4": 2,
+ "5": 1,
+ "6": 4,
+ "7": 8,
+ "8": 3
+ },
+ {
+ "0": 2,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "4": 2,
+ "5": 2,
+ "6": 8,
+ "7": 8,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 1,
+ "5": 3,
+ "6": 7,
+ "7": 11,
+ "8": 3
+ },
+ {
+ "0": 2,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "4": 4,
+ "6": 8,
+ "7": 8,
+ "8": 2
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 6,
+ "4": 5,
+ "5": 6,
+ "6": 18,
+ "7": 18,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 5,
+ "5": 2,
+ "6": 14,
+ "7": 17,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 4,
+ "4": 1,
+ "5": 2,
+ "6": 5,
+ "7": 10,
+ "8": 3
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 5,
+ "4": 2,
+ "5": 8,
+ "6": 16,
+ "7": 15,
+ "8": 4
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 4,
+ "4": 1,
+ "5": 2,
+ "6": 4,
+ "7": 8,
+ "8": 3
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "3": 2,
+ "6": 4,
+ "8": 1
+ },
+ {
+ "0": 1,
+ "1": 1,
+ "2": 2,
+ "6": 2,
+ "8": 1
+ }
+ ],
+ "maximum_snapshot_source_grade": 8,
+ "target_source_grades": [
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9,
+ 9
+ ],
+ "rank_nine_term_witnesses": [],
+ "maximum_row_source_terms": 24,
+ "all_original_endpoints": true,
+ "owned_final_zero": true,
+ "support_bound_applicable": true,
+ "scope": "Actual backward native history and the fresh X column of a following thin query. Grade counts alone are not a reconstruction or a general paid-cache lower bound.",
+ "new_kappa": false,
+ "elapsed_seconds": 1.7086392909986898
+}
diff --git a/research/filtered-native-kappa004/evidence/independent-budget.json b/research/filtered-native-kappa004/evidence/independent-budget.json
new file mode 100644
index 0000000000..2b370014cd
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/independent-budget.json
@@ -0,0 +1,53 @@
+{
+ "status": "PASS_INDEPENDENT_INTEGER_ROOT_RAW_BUDGET",
+ "exponent": "249/250",
+ "denominator_grid": "1208925819614629174706176",
+ "margins": {
+ "complex": {
+ "0": [
+ "-145870939487815362085525691/604462909807314587353088",
+ "-145870939487815362085488673/604462909807314587353088"
+ ],
+ "1": [
+ "-78811980506599172215739363/604462909807314587353088",
+ "-78811980506599172215702329/604462909807314587353088"
+ ],
+ "2": [
+ "-11753021525382982345953035/604462909807314587353088",
+ "-11753021525382982345915985/604462909807314587353088"
+ ],
+ "3": [
+ "55305937455833207523833293/604462909807314587353088",
+ "55305937455833207523870359/604462909807314587353088"
+ ],
+ "4": [
+ "122364896437049397393619621/604462909807314587353088",
+ "122364896437049397393656703/604462909807314587353088"
+ ]
+ },
+ "bit": {
+ "0": [
+ "-139591280026725497011596159/1208925819614629174706176",
+ "-69795640013362748505763575/604462909807314587353088"
+ ],
+ "1": [
+ "-24584212903333831723621567/1208925819614629174706176",
+ "-12292106451666915861776279/604462909807314587353088"
+ ],
+ "2": [
+ "90422854220057833564353025/1208925819614629174706176",
+ "45211427110028916782211017/604462909807314587353088"
+ ],
+ "3": [
+ "205429921343449498852327617/1208925819614629174706176",
+ "102714960671724749426198313/604462909807314587353088"
+ ],
+ "4": [
+ "320436988466841164140302209/1208925819614629174706176",
+ "160218494233420582070185609/604462909807314587353088"
+ ]
+ }
+ },
+ "new_kappa_claimed": false,
+ "scope": "Independent exact algebraic-root bounds for the raw hypothetical moment invoices. Compiler, outer ledger and physical words are separate obligations."
+}
diff --git a/research/filtered-native-kappa004/evidence/integrity-controls.json b/research/filtered-native-kappa004/evidence/integrity-controls.json
new file mode 100644
index 0000000000..e30f0897ed
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/integrity-controls.json
@@ -0,0 +1,15 @@
+{
+ "status": "PASS_SOURCE_TAMPER_REJECTION_CONTROLS",
+ "controls": [
+ {
+ "mutation": "alter report bytes",
+ "rejected": true,
+ "reason": "Package source binding: README.md"
+ },
+ {
+ "mutation": "alter arithmetic dependency",
+ "rejected": true,
+ "reason": "Dependency binding: research/higher-moment-strictification/verify.py"
+ }
+ ]
+}
diff --git a/research/filtered-native-kappa004/evidence/observer-milp-mode0-budget8.json b/research/filtered-native-kappa004/evidence/observer-milp-mode0-budget8.json
new file mode 100644
index 0000000000..48c991232e
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/observer-milp-mode0-budget8.json
@@ -0,0 +1,20 @@
+{
+ "status": "BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP",
+ "mode": 0,
+ "input_sha256": "9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44",
+ "maximum_lift_rank_cost": 8,
+ "coefficient_bound": 32.0,
+ "continuous_columns": 2312,
+ "frame_variables": 986,
+ "coordinates": 150,
+ "solver_status": 2,
+ "solver_message": "The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)",
+ "solver_objective": null,
+ "solver_lower_bound": null,
+ "selected_frames": [],
+ "rational_residual_terms": null,
+ "rational_recipe": null,
+ "scope": "Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 3.347944458015263
+}
diff --git a/research/filtered-native-kappa004/evidence/observer-milp-mode0-budget9.json b/research/filtered-native-kappa004/evidence/observer-milp-mode0-budget9.json
new file mode 100644
index 0000000000..dcc12ab60f
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/observer-milp-mode0-budget9.json
@@ -0,0 +1,34 @@
+{
+ "status": "BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP",
+ "mode": 0,
+ "input_sha256": "9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44",
+ "maximum_lift_rank_cost": 9,
+ "coefficient_bound": 32.0,
+ "continuous_columns": 2313,
+ "frame_variables": 987,
+ "coordinates": 150,
+ "solver_status": 0,
+ "solver_message": "Optimization terminated successfully. (HiGHS Status 7: Optimal)",
+ "solver_objective": 9.0,
+ "solver_lower_bound": 9.0,
+ "selected_frames": [
+ {
+ "frame": 0,
+ "rank": 0,
+ "cost": 9
+ }
+ ],
+ "rational_residual_terms": 0,
+ "rational_recipe": [
+ {
+ "coefficient": "1",
+ "frame": 0,
+ "owner": "ground_RY_mode",
+ "mode": 0,
+ "after_event": -1
+ }
+ ],
+ "scope": "Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 17.5876222079969
+}
diff --git a/research/filtered-native-kappa004/evidence/observer-milp-mode1-budget8.json b/research/filtered-native-kappa004/evidence/observer-milp-mode1-budget8.json
new file mode 100644
index 0000000000..e0d15e9825
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/observer-milp-mode1-budget8.json
@@ -0,0 +1,20 @@
+{
+ "status": "BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP",
+ "mode": 1,
+ "input_sha256": "9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44",
+ "maximum_lift_rank_cost": 8,
+ "coefficient_bound": 32.0,
+ "continuous_columns": 2312,
+ "frame_variables": 986,
+ "coordinates": 150,
+ "solver_status": 2,
+ "solver_message": "The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)",
+ "solver_objective": null,
+ "solver_lower_bound": null,
+ "selected_frames": [],
+ "rational_residual_terms": null,
+ "rational_recipe": null,
+ "scope": "Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 10.952239250007551
+}
diff --git a/research/filtered-native-kappa004/evidence/observer-milp-mode2-budget8.json b/research/filtered-native-kappa004/evidence/observer-milp-mode2-budget8.json
new file mode 100644
index 0000000000..9b99ca8dfc
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/observer-milp-mode2-budget8.json
@@ -0,0 +1,20 @@
+{
+ "status": "BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP",
+ "mode": 2,
+ "input_sha256": "9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44",
+ "maximum_lift_rank_cost": 8,
+ "coefficient_bound": 32.0,
+ "continuous_columns": 2312,
+ "frame_variables": 986,
+ "coordinates": 150,
+ "solver_status": 2,
+ "solver_message": "The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)",
+ "solver_objective": null,
+ "solver_lower_bound": null,
+ "selected_frames": [],
+ "rational_residual_terms": null,
+ "rational_recipe": null,
+ "scope": "Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 8.71496858302271
+}
diff --git a/research/filtered-native-kappa004/evidence/observer-milp-mode3-budget8.json b/research/filtered-native-kappa004/evidence/observer-milp-mode3-budget8.json
new file mode 100644
index 0000000000..a13aeb5e98
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/observer-milp-mode3-budget8.json
@@ -0,0 +1,20 @@
+{
+ "status": "BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP",
+ "mode": 3,
+ "input_sha256": "9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44",
+ "maximum_lift_rank_cost": 8,
+ "coefficient_bound": 32.0,
+ "continuous_columns": 2312,
+ "frame_variables": 986,
+ "coordinates": 150,
+ "solver_status": 2,
+ "solver_message": "The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)",
+ "solver_objective": null,
+ "solver_lower_bound": null,
+ "selected_frames": [],
+ "rational_residual_terms": null,
+ "rational_recipe": null,
+ "scope": "Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 7.476204290986061
+}
diff --git a/research/filtered-native-kappa004/evidence/observer-milp-mode4-budget8.json b/research/filtered-native-kappa004/evidence/observer-milp-mode4-budget8.json
new file mode 100644
index 0000000000..4ae05e2fbf
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/observer-milp-mode4-budget8.json
@@ -0,0 +1,20 @@
+{
+ "status": "BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP",
+ "mode": 4,
+ "input_sha256": "9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44",
+ "maximum_lift_rank_cost": 8,
+ "coefficient_bound": 32.0,
+ "continuous_columns": 2312,
+ "frame_variables": 986,
+ "coordinates": 150,
+ "solver_status": 2,
+ "solver_message": "The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)",
+ "solver_objective": null,
+ "solver_lower_bound": null,
+ "selected_frames": [],
+ "rational_residual_terms": null,
+ "rational_recipe": null,
+ "scope": "Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 7.023468166997191
+}
diff --git a/research/filtered-native-kappa004/evidence/observer-milp-mode5-budget8.json b/research/filtered-native-kappa004/evidence/observer-milp-mode5-budget8.json
new file mode 100644
index 0000000000..aec053ceed
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/observer-milp-mode5-budget8.json
@@ -0,0 +1,20 @@
+{
+ "status": "BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP",
+ "mode": 5,
+ "input_sha256": "9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44",
+ "maximum_lift_rank_cost": 8,
+ "coefficient_bound": 32.0,
+ "continuous_columns": 2312,
+ "frame_variables": 986,
+ "coordinates": 150,
+ "solver_status": 2,
+ "solver_message": "The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)",
+ "solver_objective": null,
+ "solver_lower_bound": null,
+ "selected_frames": [],
+ "rational_residual_terms": null,
+ "rational_recipe": null,
+ "scope": "Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 5.129068915965036
+}
diff --git a/research/filtered-native-kappa004/evidence/observer-milp-mode6-budget8.json b/research/filtered-native-kappa004/evidence/observer-milp-mode6-budget8.json
new file mode 100644
index 0000000000..5f91489a82
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/observer-milp-mode6-budget8.json
@@ -0,0 +1,20 @@
+{
+ "status": "BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP",
+ "mode": 6,
+ "input_sha256": "9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44",
+ "maximum_lift_rank_cost": 8,
+ "coefficient_bound": 32.0,
+ "continuous_columns": 2312,
+ "frame_variables": 986,
+ "coordinates": 150,
+ "solver_status": 2,
+ "solver_message": "The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)",
+ "solver_objective": null,
+ "solver_lower_bound": null,
+ "selected_frames": [],
+ "rational_residual_terms": null,
+ "rational_recipe": null,
+ "scope": "Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 4.788834249950014
+}
diff --git a/research/filtered-native-kappa004/evidence/observer-milp-mode7-budget8.json b/research/filtered-native-kappa004/evidence/observer-milp-mode7-budget8.json
new file mode 100644
index 0000000000..855cd5d559
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/observer-milp-mode7-budget8.json
@@ -0,0 +1,20 @@
+{
+ "status": "BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP",
+ "mode": 7,
+ "input_sha256": "9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44",
+ "maximum_lift_rank_cost": 8,
+ "coefficient_bound": 32.0,
+ "continuous_columns": 2312,
+ "frame_variables": 986,
+ "coordinates": 150,
+ "solver_status": 2,
+ "solver_message": "The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)",
+ "solver_objective": null,
+ "solver_lower_bound": null,
+ "selected_frames": [],
+ "rational_residual_terms": null,
+ "rational_recipe": null,
+ "scope": "Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 6.452090499980841
+}
diff --git a/research/filtered-native-kappa004/evidence/observer-probe.json b/research/filtered-native-kappa004/evidence/observer-probe.json
new file mode 100644
index 0000000000..94719b8336
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/observer-probe.json
@@ -0,0 +1,2853 @@
+{
+ "status": "NECESSARY_COSTED_LOWER_FRAME_OBSERVER_SCREEN",
+ "source_sha256": "934fea11e51f674ce2031b7d3127b994a921a9d83317b00359292752563a1775",
+ "R_sha256": "7b33b6dfb494c6eafe6d87a08d6a2c2e0681e56429495b2b27949040f0f63cd1",
+ "all_632_original_amplitudes": true,
+ "all_408_helpers_retained": true,
+ "changed_center_free_endpoint_checked": true,
+ "full_snapshot_augmentation_rank": 482,
+ "observed_snapshots_by_frame_rank": {
+ "0": 9373,
+ "1": 1090,
+ "2": 899,
+ "3": 790,
+ "4": 1463,
+ "5": 558,
+ "6": 627,
+ "7": 952,
+ "8": 721,
+ "9": 5798
+ },
+ "all_ranks": {
+ "0": {
+ "contact_frames": 1,
+ "candidate_directions": 8,
+ "combined_R_mode_rank": 8,
+ "one_lift_rank_per_direction": 9
+ },
+ "1": {
+ "contact_frames": 115,
+ "candidate_directions": 0,
+ "combined_R_mode_rank": 0,
+ "one_lift_rank_per_direction": 8
+ },
+ "2": {
+ "contact_frames": 169,
+ "candidate_directions": 0,
+ "combined_R_mode_rank": 0,
+ "one_lift_rank_per_direction": 7
+ },
+ "3": {
+ "contact_frames": 168,
+ "candidate_directions": 0,
+ "combined_R_mode_rank": 0,
+ "one_lift_rank_per_direction": 6
+ },
+ "4": {
+ "contact_frames": 66,
+ "candidate_directions": 0,
+ "combined_R_mode_rank": 0,
+ "one_lift_rank_per_direction": 5
+ },
+ "5": {
+ "contact_frames": 46,
+ "candidate_directions": 0,
+ "combined_R_mode_rank": 0,
+ "one_lift_rank_per_direction": 4
+ },
+ "6": {
+ "contact_frames": 146,
+ "candidate_directions": 0,
+ "combined_R_mode_rank": 0,
+ "one_lift_rank_per_direction": 3
+ },
+ "7": {
+ "contact_frames": 168,
+ "candidate_directions": 0,
+ "combined_R_mode_rank": 0,
+ "one_lift_rank_per_direction": 2
+ },
+ "8": {
+ "contact_frames": 122,
+ "candidate_directions": 0,
+ "combined_R_mode_rank": 0,
+ "one_lift_rank_per_direction": 1
+ }
+ },
+ "candidate_count": 8,
+ "minimum_basis_in_individually_clean_lift_family": [
+ {
+ "frame": 0,
+ "frame_rank": 0,
+ "full_lift_rank": 9,
+ "target_modes": {
+ "0": "1"
+ },
+ "gather": [
+ {
+ "owner": 112,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 114,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 119,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 121,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 122,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 123,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 124,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 129,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 130,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 131,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 134,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 135,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 136,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 137,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 139,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 143,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 144,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 145,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 146,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 147,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 150,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 151,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 152,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 157,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 160,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 161,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 162,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 166,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 167,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 168,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 169,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 173,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 174,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 175,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 182,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 183,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 184,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 188,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 189,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 191,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 193,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 197,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 199,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 201,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 202,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 203,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 204,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 206,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 210,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 212,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 213,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 214,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 215,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 219,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 220,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 221,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ }
+ ]
+ },
+ {
+ "frame": 0,
+ "frame_rank": 0,
+ "full_lift_rank": 9,
+ "target_modes": {
+ "1": "1"
+ },
+ "gather": [
+ {
+ "owner": 112,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 113,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 114,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 115,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 116,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 117,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 118,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 119,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 120,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 121,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 122,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 123,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 137,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 138,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 139,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 140,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 141,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 142,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 169,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 170,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 171,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 172,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 173,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 174,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 175,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 176,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 177,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 178,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 179,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 180,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 181,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 182,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 183,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 184,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 185,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 186,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 187,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 188,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 191,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 192,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 193,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 194,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 195,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 196,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 198,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 199,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 200,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 201,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 202,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 203,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 204,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 205,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 206,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 207,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 208,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 209,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ }
+ ]
+ },
+ {
+ "frame": 0,
+ "frame_rank": 0,
+ "full_lift_rank": 9,
+ "target_modes": {
+ "2": "1"
+ },
+ "gather": [
+ {
+ "owner": 112,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 113,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 118,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 119,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 124,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 125,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 126,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 127,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 128,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 129,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 130,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 131,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 139,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 140,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 141,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 142,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 143,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 150,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 151,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 152,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 153,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 154,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 155,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 156,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 163,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 164,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 165,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 166,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 167,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 168,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 169,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 170,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 171,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 172,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 185,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 186,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 187,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 188,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 189,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 190,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 193,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 194,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 195,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 196,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 198,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 199,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 204,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 205,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 211,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 212,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 213,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 214,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 215,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 216,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 217,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 218,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ }
+ ]
+ },
+ {
+ "frame": 0,
+ "frame_rank": 0,
+ "full_lift_rank": 9,
+ "target_modes": {
+ "3": "1"
+ },
+ "gather": [
+ {
+ "owner": 112,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 115,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 116,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 117,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 119,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 120,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 125,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 126,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 127,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 128,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 134,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 135,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 136,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 138,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 139,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 144,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 145,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 146,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 147,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 153,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 154,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 155,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 156,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 157,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 160,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 161,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 162,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 163,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 164,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 165,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 169,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 176,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 177,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 178,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 179,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 180,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 181,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 188,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 190,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 192,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 193,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 197,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 199,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 200,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 204,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 207,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 208,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 209,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 210,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 211,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 216,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 217,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 218,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 219,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 220,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 221,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ }
+ ]
+ },
+ {
+ "frame": 0,
+ "frame_rank": 0,
+ "full_lift_rank": 9,
+ "target_modes": {
+ "4": "1"
+ },
+ "gather": [
+ {
+ "owner": 113,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 115,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 118,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 120,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 122,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 123,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 124,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 126,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 127,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 129,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 132,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 133,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 136,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 138,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 140,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 143,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 144,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 147,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 148,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 149,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 150,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 153,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 154,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 157,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 158,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 159,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 160,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 164,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 165,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 168,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 170,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 174,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 175,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 178,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 179,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 182,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 183,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 187,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 189,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 192,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 194,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 197,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 198,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 200,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 202,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 203,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 205,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 207,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 210,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 212,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 215,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 217,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 218,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 219,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 222,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 223,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ }
+ ]
+ },
+ {
+ "frame": 0,
+ "frame_rank": 0,
+ "full_lift_rank": 9,
+ "target_modes": {
+ "5": "1"
+ },
+ "gather": [
+ {
+ "owner": 116,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 117,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 122,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 123,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 126,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 127,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 130,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 131,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 132,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 133,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 134,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 135,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 141,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 142,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 145,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 146,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 148,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 149,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 151,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 152,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 153,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 154,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 158,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 159,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 161,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 162,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 164,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 165,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 166,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 167,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 171,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 172,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 174,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 175,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 176,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 177,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 180,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 181,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 182,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 183,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 185,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 186,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 195,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 196,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 202,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 203,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 208,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 209,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 213,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 214,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 217,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 218,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 220,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 221,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 222,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 223,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ }
+ ]
+ },
+ {
+ "frame": 0,
+ "frame_rank": 0,
+ "full_lift_rank": 9,
+ "target_modes": {
+ "6": "1"
+ },
+ "gather": [
+ {
+ "owner": 114,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 115,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 120,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 121,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 124,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 125,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 128,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 129,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 132,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 133,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 134,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 135,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 137,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 138,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 141,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 142,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 143,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 145,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 146,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 148,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 149,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 150,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 155,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 156,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 158,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 159,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 161,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 162,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 163,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 168,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 171,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 172,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 173,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 178,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 179,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 184,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 185,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 186,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 189,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 190,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 191,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 192,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 195,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 196,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 200,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 201,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 206,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 207,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 211,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 212,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 215,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 216,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 220,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 221,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 222,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 223,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ }
+ ]
+ },
+ {
+ "frame": 0,
+ "frame_rank": 0,
+ "full_lift_rank": 9,
+ "target_modes": {
+ "7": "1"
+ },
+ "gather": [
+ {
+ "owner": 113,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 114,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 116,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 117,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 118,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 121,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 125,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 128,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 130,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 131,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 132,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 133,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 136,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 137,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 140,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 144,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 147,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 148,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 149,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 151,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 152,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 155,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 156,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 157,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 158,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 159,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 160,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 163,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 166,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 167,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 170,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 173,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 176,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 177,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 180,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 181,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 184,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 187,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 190,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 191,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 194,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 197,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 198,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 201,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 205,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 206,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 208,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 209,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 210,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 211,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 213,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 214,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "1"
+ },
+ {
+ "owner": 216,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 219,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 222,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ },
+ {
+ "owner": 223,
+ "after_event": -1,
+ "frame": 0,
+ "coefficient": "-1"
+ }
+ ]
+ }
+ ],
+ "minimum_individually_clean_lift_rank_mass": 72,
+ "recovered_mode_dimension": 8,
+ "scope": "Necessary fixed-vector quotient of the actual changed word; individually clean same-frame mode gathers at every rank and free full-frame side information. Full lifts are separately paid at rank 9-dim(frame). The 72 mass is optimal only when each new observation individually gives a pure R-mode combination modulo side information. Jointly decoding several noisy observations is outside that bound. A positive still needs exact operator cleanup, phase lowering, chronology and every helper; no kappa is claimed.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 51.973627500003204
+}
diff --git a/research/filtered-native-kappa004/evidence/observer-subspaces.json.gz b/research/filtered-native-kappa004/evidence/observer-subspaces.json.gz
new file mode 100644
index 0000000000..4ae134b898
Binary files /dev/null and b/research/filtered-native-kappa004/evidence/observer-subspaces.json.gz differ
diff --git a/research/filtered-native-kappa004/evidence/paired-observer-probe.json b/research/filtered-native-kappa004/evidence/paired-observer-probe.json
new file mode 100644
index 0000000000..e692bc7b0c
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/paired-observer-probe.json
@@ -0,0 +1,16 @@
+{
+ "status": "PAIRED_NOISY_OBSERVATION_SCREEN",
+ "prime": 65537,
+ "input_sha256": "9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44",
+ "frames": 428,
+ "pairs_tested_by_total_lift_rank": {
+ "2": 6441,
+ "3": 19152,
+ "4": 30672
+ },
+ "modular_hits": 0,
+ "rational_rechecks": [],
+ "scope": "Fixed-vector augmentation; two same-frame gathers lifted to full, with summed lift rank at most the stated budget. Positive modular hits are rechecked over Q. A negative modular screen is discovery evidence only, not rational infeasibility; a rational positive is still short of the physical operator identity.",
+ "new_kappa_claimed": false,
+ "elapsed_seconds": 0.4971016250201501
+}
diff --git a/research/filtered-native-kappa004/evidence/portable-predecessor-and-milp-replay.json b/research/filtered-native-kappa004/evidence/portable-predecessor-and-milp-replay.json
new file mode 100644
index 0000000000..0e68169bf8
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/portable-predecessor-and-milp-replay.json
@@ -0,0 +1,220 @@
+{
+ "status": "PASS_SCOPED_CONTINUATION_NO_NEW_KAPPA",
+ "new_kappa_claimed": false,
+ "admitted_construction": false,
+ "source_manifest_sha256": "6aa70fd331f942fcc1406a37b625cc95e635d9f81b618b1ea95901b1890c80f8",
+ "python": "3.11.11 (main, Dec 7 2024, 10:43:09) [Clang 15.0.0 (clang-1500.3.9.4)]",
+ "commands": [
+ {
+ "script": "predecessor/verify_delivery.py",
+ "returncode": 0,
+ "elapsed_seconds": 57.777,
+ "stdout": "PASS_SOURCE_MANIFEST 359\n{\"command\": [\"/opt/local/bin/python3\", \"-B\", \"research/operator_alignment_next/review_clean_dag.py\"], \"returncode\": 0, \"elapsed_seconds\": 12.303, \"log\": \"replay_logs/review_clean_dag.log\"}\n{\"command\": [\"/opt/local/bin/python3\", \"-B\", \"research/alternative_gadgets_next/review_causal_companion.py\"], \"returncode\": 0, \"elapsed_seconds\": 6.214, \"log\": \"replay_logs/review_causal_companion.log\"}\n{\"command\": [\"/opt/local/bin/python3\", \"-B\", \"research/integration_next/review_even_resolvent.py\"], \"returncode\": 0, \"elapsed_seconds\": 4.858, \"log\": \"replay_logs/review_even_resolvent.log\"}\n{\"command\": [\"/opt/local/bin/python3\", \"-B\", \"research/alternative_gadgets_next/partial_center_inverse_codes.py\"], \"returncode\": 0, \"elapsed_seconds\": 2.763, \"log\": \"replay_logs/partial_center_inverse_codes.log\"}\n{\"command\": [\"/opt/local/bin/python3\", \"-B\", \"research/integration_next/filtered_precision_adjoint.py\"], \"returncode\": 0, \"elapsed_seconds\": 3.174, \"log\": \"replay_logs/filtered_precision_adjoint.log\"}\n{\"command\": [\"/opt/local/bin/python3\", \"-B\", \"research/alternative_gadgets_next/review_precision_adjoint.py\"], \"returncode\": 0, \"elapsed_seconds\": 0.211, \"log\": \"replay_logs/review_precision_adjoint.log\"}\n{\"command\": [\"/opt/local/bin/python3\", \"-B\", \"research/alternative_gadgets_next/review_owned_zero_closure.py\"], \"returncode\": 0, \"elapsed_seconds\": 3.785, \"log\": \"replay_logs/review_owned_zero_closure.log\"}\n{\"command\": [\"/opt/local/bin/python3\", \"-B\", \"research/integration_next/full_frame_fixed_vector_kernel.py\"], \"returncode\": 0, \"elapsed_seconds\": 1.658, \"log\": \"replay_logs/full_frame_fixed_vector_kernel.log\"}\n{\"command\": [\"/opt/local/bin/python3\", \"-B\", \"research/integration_next/review_portfolio_flow.py\"], \"returncode\": 0, \"elapsed_seconds\": 2.918, \"log\": \"replay_logs/review_portfolio_flow.log\"}\n{\"command\": [\"/opt/local/bin/python3\", \"-B\", \"research/integration_next/review_rank1_center_dependency.py\"], \"returncode\": 0, \"elapsed_seconds\": 1.031, \"log\": \"replay_logs/review_rank1_center_dependency.log\"}\n{\"command\": [\"/opt/local/bin/python3\", \"-B\", \"research/retained_state_next/review_foreign_mode_observer.py\"], \"returncode\": 0, \"elapsed_seconds\": 2.379, \"log\": \"replay_logs/review_foreign_mode_observer.log\"}\n{\"command\": [\"/opt/local/bin/python3\", \"-B\", \"research/alternative_gadgets_next/conditional_center_replacement_price.py\"], \"returncode\": 0, \"elapsed_seconds\": 4.017, \"log\": \"replay_logs/conditional_center_replacement_price.log\"}\n{\"command\": [\"/opt/local/bin/python3\", \"-B\", \"research/operator_alignment_next/review_encoded_mode_head.py\"], \"returncode\": 0, \"elapsed_seconds\": 10.904, \"log\": \"replay_logs/review_encoded_mode_head.log\"}\n{\"command\": [\"/opt/local/bin/python3\", \"-B\", \"research/alternative_gadgets_next/foreign_mode_head_sector.py\"], \"returncode\": 0, \"elapsed_seconds\": 1.381, \"log\": \"replay_logs/foreign_mode_head_sector.log\"}\nPASS_PORTABLE_INDEPENDENT_REVIEWS\n",
+ "stderr": ""
+ },
+ {
+ "script": "history_grade_probe.py",
+ "arguments": [
+ "--packet",
+ "/var/folders/y2/rqpdcbzj7_98322kfb3v7_kr0000gq/T/filtered-native-k004-tf8ekmbp/original/filtered_native_implementation"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 1.564,
+ "stdout": "HISTORY 5000 grade evaluations CacheInfo(hits=0, misses=112, maxsize=None, currsize=112) full-rank witnesses 0\nHISTORY 10000 grade evaluations CacheInfo(hits=0, misses=196, maxsize=None, currsize=196) full-rank witnesses 0\nHISTORY 15000 grade evaluations CacheInfo(hits=0, misses=1648, maxsize=None, currsize=1648) full-rank witnesses 0\nHISTORY 20000 grade evaluations CacheInfo(hits=0, misses=2965, maxsize=None, currsize=2965) full-rank witnesses 0\n{\"status\": \"ACTUAL_PHASE_AWARE_NATIVE_HISTORY_SUPPORT_SCREEN\", \"maximum_snapshot_source_grade\": 8, \"unique_physical_source_terms\": 2965, \"support_bound_applicable\": true, \"elapsed_seconds\": 1.462282459018752}\n",
+ "stderr": ""
+ },
+ {
+ "script": "snapshot_probe.py",
+ "arguments": [
+ "--packet",
+ "/var/folders/y2/rqpdcbzj7_98322kfb3v7_kr0000gq/T/filtered-native-k004-tf8ekmbp/original/filtered_native_implementation"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 1.054,
+ "stdout": "snapshots 424\nPORT 0 {'port': 0, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.6\nPORT 1 {'port': 1, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.61\nPORT 2 {'port': 2, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.61\nPORT 3 {'port': 3, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.62\nPORT 4 {'port': 4, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.63\nPORT 5 {'port': 5, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.63\nPORT 6 {'port': 6, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.64\nPORT 7 {'port': 7, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.64\nPORT 8 {'port': 8, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.64\nPORT 9 {'port': 9, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.65\nPORT 10 {'port': 10, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.65\nPORT 11 {'port': 11, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.65\nPORT 12 {'port': 12, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.65\nPORT 13 {'port': 13, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.66\nPORT 14 {'port': 14, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.66\nPORT 15 {'port': 15, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.66\nPORT 16 {'port': 16, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.66\nPORT 17 {'port': 17, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.67\nPORT 18 {'port': 18, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.68\nPORT 19 {'port': 19, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.68\nPORT 20 {'port': 20, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.68\nPORT 21 {'port': 21, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.68\nPORT 22 {'port': 22, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.69\nPORT 23 {'port': 23, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.7\nPORT 24 {'port': 24, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.7\nPORT 25 {'port': 25, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.7\nPORT 26 {'port': 26, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.71\nPORT 27 {'port': 27, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.71\nPORT 28 {'port': 28, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.71\nPORT 29 {'port': 29, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.72\nPORT 30 {'port': 30, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.72\nPORT 31 {'port': 31, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.73\nPORT 32 {'port': 32, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.73\nPORT 33 {'port': 33, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.74\nPORT 34 {'port': 34, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.74\nPORT 35 {'port': 35, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.75\nPORT 36 {'port': 36, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.75\nPORT 37 {'port': 37, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.75\nPORT 38 {'port': 38, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.75\nPORT 39 {'port': 39, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.76\nPORT 40 {'port': 40, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.76\nPORT 41 {'port': 41, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.76\nPORT 42 {'port': 42, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.77\nPORT 43 {'port': 43, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.77\nPORT 44 {'port': 44, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.77\nPORT 45 {'port': 45, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.77\nPORT 46 {'port': 46, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.78\nPORT 47 {'port': 47, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.78\nPORT 48 {'port': 48, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.78\nPORT 49 {'port': 49, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.79\nPORT 50 {'port': 50, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.79\nPORT 51 {'port': 51, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.79\nPORT 52 {'port': 52, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.79\nPORT 53 {'port': 53, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.8\nPORT 54 {'port': 54, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.8\nPORT 55 {'port': 55, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.8\nPORT 56 {'port': 56, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.81\nPORT 57 {'port': 57, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.81\nPORT 58 {'port': 58, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.81\nPORT 59 {'port': 59, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.82\nPORT 60 {'port': 60, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.82\nPORT 61 {'port': 61, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.82\nPORT 62 {'port': 62, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.82\nPORT 63 {'port': 63, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.82\nPORT 64 {'port': 64, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.83\nPORT 65 {'port': 65, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.83\nPORT 66 {'port': 66, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.83\nPORT 67 {'port': 67, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.84\nPORT 68 {'port': 68, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.84\nPORT 69 {'port': 69, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.85\nPORT 70 {'port': 70, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.85\nPORT 71 {'port': 71, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.85\nPORT 72 {'port': 72, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.85\nPORT 73 {'port': 73, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.86\nPORT 74 {'port': 74, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.86\nPORT 75 {'port': 75, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.86\nPORT 76 {'port': 76, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.87\nPORT 77 {'port': 77, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.87\nPORT 78 {'port': 78, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.87\nPORT 79 {'port': 79, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.87\nPORT 80 {'port': 80, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.88\nPORT 81 {'port': 81, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.88\nPORT 82 {'port': 82, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.88\nPORT 83 {'port': 83, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.88\nPORT 84 {'port': 84, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.89\nPORT 85 {'port': 85, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.89\nPORT 86 {'port': 86, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.89\nPORT 87 {'port': 87, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.89\nPORT 88 {'port': 88, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.9\nPORT 89 {'port': 89, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.9\nPORT 90 {'port': 90, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.9\nPORT 91 {'port': 91, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.9\nPORT 92 {'port': 92, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.91\nPORT 93 {'port': 93, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.91\nPORT 94 {'port': 94, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.91\nPORT 95 {'port': 95, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.91\nPORT 96 {'port': 96, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.92\nPORT 97 {'port': 97, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.92\nPORT 98 {'port': 98, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.92\nPORT 99 {'port': 99, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.92\nPORT 100 {'port': 100, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.93\nPORT 101 {'port': 101, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.93\nPORT 102 {'port': 102, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.94\nPORT 103 {'port': 103, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.94\nPORT 104 {'port': 104, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.94\nPORT 105 {'port': 105, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.94\nPORT 106 {'port': 106, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.94\nPORT 107 {'port': 107, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.95\nPORT 108 {'port': 108, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.95\nPORT 109 {'port': 109, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.95\nPORT 110 {'port': 110, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.96\nPORT 111 {'port': 111, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.96\n",
+ "stderr": ""
+ },
+ {
+ "script": "observer_probe.py",
+ "arguments": [
+ "--packet",
+ "/var/folders/y2/rqpdcbzj7_98322kfb3v7_kr0000gq/T/filtered-native-k004-tf8ekmbp/original/filtered_native_implementation"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 23.215,
+ "stdout": "REPLAY 22137 full unique 4868 frames 1001\nFULL_BASIS 482 seconds 8.202807708003093\nFRAME 100 candidates 8 seconds 10.536552915989887\nFRAME 200 candidates 8 seconds 11.9349546659505\nFRAME 300 candidates 8 seconds 12.927402290981263\nFRAME 400 candidates 8 seconds 14.822741457959637\nFRAME 500 candidates 8 seconds 16.391570749983657\nFRAME 600 candidates 8 seconds 17.783947374962736\nFRAME 700 candidates 8 seconds 18.54885599995032\nFRAME 900 candidates 8 seconds 19.8658721660031\nFRAME 1100 candidates 8 seconds 21.472846832999494\nFRAME 1200 candidates 8 seconds 22.510406457993668\n{\"status\": \"NECESSARY_COSTED_LOWER_FRAME_OBSERVER_SCREEN\", \"all_ranks\": {\"0\": {\"contact_frames\": 1, \"candidate_directions\": 8, \"combined_R_mode_rank\": 8, \"one_lift_rank_per_direction\": 9}, \"1\": {\"contact_frames\": 115, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 8}, \"2\": {\"contact_frames\": 169, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 7}, \"3\": {\"contact_frames\": 168, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 6}, \"4\": {\"contact_frames\": 66, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 5}, \"5\": {\"contact_frames\": 46, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 4}, \"6\": {\"contact_frames\": 146, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 3}, \"7\": {\"contact_frames\": 168, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 2}, \"8\": {\"contact_frames\": 122, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 1}}, \"candidate_count\": 8, \"minimum_individually_clean_lift_rank_mass\": 72, \"recovered_mode_dimension\": 8, \"elapsed_seconds\": 22.957581666007172}\n",
+ "stderr": ""
+ },
+ {
+ "script": "paired_observer_probe.py",
+ "arguments": [
+ "--packet",
+ "/var/folders/y2/rqpdcbzj7_98322kfb3v7_kr0000gq/T/filtered-native-k004-tf8ekmbp/original/filtered_native_implementation"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 0.261,
+ "stdout": "{\"status\": \"PAIRED_NOISY_OBSERVATION_SCREEN\", \"prime\": 65537, \"input_sha256\": \"9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44\", \"frames\": 428, \"pairs_tested_by_total_lift_rank\": {\"2\": 6441, \"3\": 19152, \"4\": 30672}, \"modular_hits\": 0, \"scope\": \"Fixed-vector augmentation; two same-frame gathers lifted to full, with summed lift rank at most the stated budget. Positive modular hits are rechecked over Q. A negative modular screen is discovery evidence only, not rational infeasibility; a rational positive is still short of the physical operator identity.\", \"new_kappa_claimed\": false, \"elapsed_seconds\": 0.1557269999757409}\n",
+ "stderr": ""
+ },
+ {
+ "script": "acceptance_budget.py",
+ "arguments": [],
+ "returncode": 0,
+ "elapsed_seconds": 0.501,
+ "stdout": "{\"status\": \"PASS_CONDITIONAL_BUDGET_ONLY_PHYSICAL_CONSTRUCTION_MISSING\", \"target_kappa\": \"1/250\", \"ordinary_BIT\": \"8119584599/2000000000000\", \"outer_failures\": [], \"admitted_construction\": false}\n",
+ "stderr": ""
+ },
+ {
+ "script": "independent_budget_check.py",
+ "arguments": [],
+ "returncode": 0,
+ "elapsed_seconds": 1.921,
+ "stdout": "PASS_INDEPENDENT_INTEGER_ROOT_RAW_BUDGET\n",
+ "stderr": ""
+ },
+ {
+ "script": "repeated_head_probe.py",
+ "arguments": [],
+ "returncode": 0,
+ "elapsed_seconds": 0.087,
+ "stdout": "{\"status\": \"REJECT_REPEATED_HEAD_AS_FRESH_STAGE_SUPPLIER\", \"cases\": [{\"pairs\": 2, \"literal_gate_records\": 21, \"recodings\": 9, \"gaussian_axis_support\": [0, 1, 2, 3, 4, 5, 6, 7, 8], \"maximum_literal_active_rank\": 9, \"advertised_maximum_target_rank\": 17, \"literal_middle_idle_field_jobs\": 224, \"literal_middle_idle_rank\": 9, \"invoice_middle_idle_field_jobs\": 0, \"direct_D_to_R_upgrade_rank_one_jobs\": 448, \"optimistic_surplus_after_direct_upgrade_ignoring_all_idles\": -336}, {\"pairs\": 19, \"literal_gate_records\": 259, \"recodings\": 77, \"gaussian_axis_support\": [0, 1, 2, 3, 4, 5, 6, 7, 8], \"maximum_literal_active_rank\": 9, \"advertised_maximum_target_rank\": 153, \"literal_middle_idle_field_jobs\": 4032, \"literal_middle_idle_rank\": 9, \"invoice_middle_idle_field_jobs\": 0, \"direct_D_to_R_upgrade_rank_one_jobs\": 4256, \"optimistic_surplus_after_direct_upgrade_ignoring_all_idles\": -2240}]}\n",
+ "stderr": ""
+ },
+ {
+ "script": "observer_milp.py",
+ "arguments": [
+ "--mode",
+ "0",
+ "--maximum-cost",
+ "8",
+ "--seconds",
+ "60"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 2.379,
+ "stdout": "MILP 0 2312 986 150 budget 8\n{\"status\": \"BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP\", \"mode\": 0, \"input_sha256\": \"9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44\", \"maximum_lift_rank_cost\": 8, \"coefficient_bound\": 32.0, \"continuous_columns\": 2312, \"frame_variables\": 986, \"coordinates\": 150, \"solver_status\": 2, \"solver_message\": \"The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)\", \"solver_objective\": null, \"solver_lower_bound\": null, \"selected_frames\": [], \"rational_residual_terms\": null, \"scope\": \"Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.\", \"new_kappa_claimed\": false, \"elapsed_seconds\": 1.4500696249888279}\n",
+ "stderr": ""
+ },
+ {
+ "script": "observer_milp.py",
+ "arguments": [
+ "--mode",
+ "1",
+ "--maximum-cost",
+ "8",
+ "--seconds",
+ "60"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 2.204,
+ "stdout": "MILP 1 2312 986 150 budget 8\n{\"status\": \"BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP\", \"mode\": 1, \"input_sha256\": \"9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44\", \"maximum_lift_rank_cost\": 8, \"coefficient_bound\": 32.0, \"continuous_columns\": 2312, \"frame_variables\": 986, \"coordinates\": 150, \"solver_status\": 2, \"solver_message\": \"The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)\", \"solver_objective\": null, \"solver_lower_bound\": null, \"selected_frames\": [], \"rational_residual_terms\": null, \"scope\": \"Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.\", \"new_kappa_claimed\": false, \"elapsed_seconds\": 1.3758557499968447}\n",
+ "stderr": ""
+ },
+ {
+ "script": "observer_milp.py",
+ "arguments": [
+ "--mode",
+ "2",
+ "--maximum-cost",
+ "8",
+ "--seconds",
+ "60"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 2.524,
+ "stdout": "MILP 2 2312 986 150 budget 8\n{\"status\": \"BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP\", \"mode\": 2, \"input_sha256\": \"9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44\", \"maximum_lift_rank_cost\": 8, \"coefficient_bound\": 32.0, \"continuous_columns\": 2312, \"frame_variables\": 986, \"coordinates\": 150, \"solver_status\": 2, \"solver_message\": \"The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)\", \"solver_objective\": null, \"solver_lower_bound\": null, \"selected_frames\": [], \"rational_residual_terms\": null, \"scope\": \"Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.\", \"new_kappa_claimed\": false, \"elapsed_seconds\": 1.4095775000168942}\n",
+ "stderr": ""
+ },
+ {
+ "script": "observer_milp.py",
+ "arguments": [
+ "--mode",
+ "3",
+ "--maximum-cost",
+ "8",
+ "--seconds",
+ "60"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 2.199,
+ "stdout": "MILP 3 2312 986 150 budget 8\n{\"status\": \"BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP\", \"mode\": 3, \"input_sha256\": \"9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44\", \"maximum_lift_rank_cost\": 8, \"coefficient_bound\": 32.0, \"continuous_columns\": 2312, \"frame_variables\": 986, \"coordinates\": 150, \"solver_status\": 2, \"solver_message\": \"The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)\", \"solver_objective\": null, \"solver_lower_bound\": null, \"selected_frames\": [], \"rational_residual_terms\": null, \"scope\": \"Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.\", \"new_kappa_claimed\": false, \"elapsed_seconds\": 1.3440204170183279}\n",
+ "stderr": ""
+ },
+ {
+ "script": "observer_milp.py",
+ "arguments": [
+ "--mode",
+ "4",
+ "--maximum-cost",
+ "8",
+ "--seconds",
+ "60"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 2.155,
+ "stdout": "MILP 4 2312 986 150 budget 8\n{\"status\": \"BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP\", \"mode\": 4, \"input_sha256\": \"9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44\", \"maximum_lift_rank_cost\": 8, \"coefficient_bound\": 32.0, \"continuous_columns\": 2312, \"frame_variables\": 986, \"coordinates\": 150, \"solver_status\": 2, \"solver_message\": \"The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)\", \"solver_objective\": null, \"solver_lower_bound\": null, \"selected_frames\": [], \"rational_residual_terms\": null, \"scope\": \"Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.\", \"new_kappa_claimed\": false, \"elapsed_seconds\": 1.3872240000055172}\n",
+ "stderr": ""
+ },
+ {
+ "script": "observer_milp.py",
+ "arguments": [
+ "--mode",
+ "5",
+ "--maximum-cost",
+ "8",
+ "--seconds",
+ "60"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 2.232,
+ "stdout": "MILP 5 2312 986 150 budget 8\n{\"status\": \"BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP\", \"mode\": 5, \"input_sha256\": \"9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44\", \"maximum_lift_rank_cost\": 8, \"coefficient_bound\": 32.0, \"continuous_columns\": 2312, \"frame_variables\": 986, \"coordinates\": 150, \"solver_status\": 2, \"solver_message\": \"The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)\", \"solver_objective\": null, \"solver_lower_bound\": null, \"selected_frames\": [], \"rational_residual_terms\": null, \"scope\": \"Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.\", \"new_kappa_claimed\": false, \"elapsed_seconds\": 1.3452827079454437}\n",
+ "stderr": ""
+ },
+ {
+ "script": "observer_milp.py",
+ "arguments": [
+ "--mode",
+ "6",
+ "--maximum-cost",
+ "8",
+ "--seconds",
+ "60"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 2.093,
+ "stdout": "MILP 6 2312 986 150 budget 8\n{\"status\": \"BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP\", \"mode\": 6, \"input_sha256\": \"9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44\", \"maximum_lift_rank_cost\": 8, \"coefficient_bound\": 32.0, \"continuous_columns\": 2312, \"frame_variables\": 986, \"coordinates\": 150, \"solver_status\": 2, \"solver_message\": \"The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)\", \"solver_objective\": null, \"solver_lower_bound\": null, \"selected_frames\": [], \"rational_residual_terms\": null, \"scope\": \"Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.\", \"new_kappa_claimed\": false, \"elapsed_seconds\": 1.3162155830068514}\n",
+ "stderr": ""
+ },
+ {
+ "script": "observer_milp.py",
+ "arguments": [
+ "--mode",
+ "7",
+ "--maximum-cost",
+ "8",
+ "--seconds",
+ "60"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 2.318,
+ "stdout": "MILP 7 2312 986 150 budget 8\n{\"status\": \"BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP\", \"mode\": 7, \"input_sha256\": \"9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44\", \"maximum_lift_rank_cost\": 8, \"coefficient_bound\": 32.0, \"continuous_columns\": 2312, \"frame_variables\": 986, \"coordinates\": 150, \"solver_status\": 2, \"solver_message\": \"The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)\", \"solver_objective\": null, \"solver_lower_bound\": null, \"selected_frames\": [], \"rational_residual_terms\": null, \"scope\": \"Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.\", \"new_kappa_claimed\": false, \"elapsed_seconds\": 1.3461486670421436}\n",
+ "stderr": ""
+ },
+ {
+ "script": "observer_milp.py",
+ "arguments": [
+ "--mode",
+ "0",
+ "--maximum-cost",
+ "9",
+ "--seconds",
+ "60"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 3.327,
+ "stdout": "MILP 0 2313 987 150 budget 9\n{\"status\": \"BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP\", \"mode\": 0, \"input_sha256\": \"9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44\", \"maximum_lift_rank_cost\": 9, \"coefficient_bound\": 32.0, \"continuous_columns\": 2313, \"frame_variables\": 987, \"coordinates\": 150, \"solver_status\": 0, \"solver_message\": \"Optimization terminated successfully. (HiGHS Status 7: Optimal)\", \"solver_objective\": 9.0, \"solver_lower_bound\": 9.0, \"selected_frames\": [{\"frame\": 0, \"rank\": 0, \"cost\": 9}], \"rational_residual_terms\": 0, \"scope\": \"Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.\", \"new_kappa_claimed\": false, \"elapsed_seconds\": 2.555086874985136}\n",
+ "stderr": ""
+ }
+ ],
+ "elapsed_seconds": 108.611
+}
diff --git a/research/filtered-native-kappa004/evidence/predecessor-replay.log b/research/filtered-native-kappa004/evidence/predecessor-replay.log
new file mode 100644
index 0000000000..22672db617
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/predecessor-replay.log
@@ -0,0 +1,16 @@
+PASS_SOURCE_MANIFEST 359
+{"command": ["/opt/local/bin/python3", "-B", "research/operator_alignment_next/review_clean_dag.py"], "returncode": 0, "elapsed_seconds": 10.904, "log": "replay_logs/review_clean_dag.log"}
+{"command": ["/opt/local/bin/python3", "-B", "research/alternative_gadgets_next/review_causal_companion.py"], "returncode": 0, "elapsed_seconds": 5.123, "log": "replay_logs/review_causal_companion.log"}
+{"command": ["/opt/local/bin/python3", "-B", "research/integration_next/review_even_resolvent.py"], "returncode": 0, "elapsed_seconds": 3.915, "log": "replay_logs/review_even_resolvent.log"}
+{"command": ["/opt/local/bin/python3", "-B", "research/alternative_gadgets_next/partial_center_inverse_codes.py"], "returncode": 0, "elapsed_seconds": 2.563, "log": "replay_logs/partial_center_inverse_codes.log"}
+{"command": ["/opt/local/bin/python3", "-B", "research/integration_next/filtered_precision_adjoint.py"], "returncode": 0, "elapsed_seconds": 3.208, "log": "replay_logs/filtered_precision_adjoint.log"}
+{"command": ["/opt/local/bin/python3", "-B", "research/alternative_gadgets_next/review_precision_adjoint.py"], "returncode": 0, "elapsed_seconds": 0.211, "log": "replay_logs/review_precision_adjoint.log"}
+{"command": ["/opt/local/bin/python3", "-B", "research/alternative_gadgets_next/review_owned_zero_closure.py"], "returncode": 0, "elapsed_seconds": 3.971, "log": "replay_logs/review_owned_zero_closure.log"}
+{"command": ["/opt/local/bin/python3", "-B", "research/integration_next/full_frame_fixed_vector_kernel.py"], "returncode": 0, "elapsed_seconds": 1.64, "log": "replay_logs/full_frame_fixed_vector_kernel.log"}
+{"command": ["/opt/local/bin/python3", "-B", "research/integration_next/review_portfolio_flow.py"], "returncode": 0, "elapsed_seconds": 3.0, "log": "replay_logs/review_portfolio_flow.log"}
+{"command": ["/opt/local/bin/python3", "-B", "research/integration_next/review_rank1_center_dependency.py"], "returncode": 0, "elapsed_seconds": 1.025, "log": "replay_logs/review_rank1_center_dependency.log"}
+{"command": ["/opt/local/bin/python3", "-B", "research/retained_state_next/review_foreign_mode_observer.py"], "returncode": 0, "elapsed_seconds": 2.376, "log": "replay_logs/review_foreign_mode_observer.log"}
+{"command": ["/opt/local/bin/python3", "-B", "research/alternative_gadgets_next/conditional_center_replacement_price.py"], "returncode": 0, "elapsed_seconds": 4.13, "log": "replay_logs/conditional_center_replacement_price.log"}
+{"command": ["/opt/local/bin/python3", "-B", "research/operator_alignment_next/review_encoded_mode_head.py"], "returncode": 0, "elapsed_seconds": 10.92, "log": "replay_logs/review_encoded_mode_head.log"}
+{"command": ["/opt/local/bin/python3", "-B", "research/alternative_gadgets_next/foreign_mode_head_sector.py"], "returncode": 0, "elapsed_seconds": 1.273, "log": "replay_logs/foreign_mode_head_sector.log"}
+PASS_PORTABLE_INDEPENDENT_REVIEWS
diff --git a/research/filtered-native-kappa004/evidence/repeated-head-probe.json b/research/filtered-native-kappa004/evidence/repeated-head-probe.json
new file mode 100644
index 0000000000..d536009815
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/repeated-head-probe.json
@@ -0,0 +1,2141 @@
+{
+ "status": "REJECT_REPEATED_HEAD_AS_FRESH_STAGE_SUPPLIER",
+ "source_commit": "df9e5037587ce0cfbd23c2a944515526b301e820",
+ "source_pr": 5270,
+ "source_sha256": "305acd8258d6615a0d55533d8b876561311741e8e674da7e56123cc61ab28f29",
+ "cases": [
+ {
+ "pairs": 2,
+ "literal_gate_records": 21,
+ "recodings": 9,
+ "gaussian_axis_support": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "maximum_literal_active_rank": 9,
+ "advertised_maximum_target_rank": 17,
+ "literal_middle_idle_field_jobs": 224,
+ "literal_middle_idle_rank": 9,
+ "invoice_middle_idle_field_jobs": 0,
+ "direct_D_to_R_upgrade_rank_one_jobs": 448,
+ "optimistic_surplus_after_direct_upgrade_ignoring_all_idles": -336,
+ "axis_trace": [
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 2
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 2
+ }
+ ]
+ },
+ {
+ "pairs": 19,
+ "literal_gate_records": 259,
+ "recodings": 77,
+ "gaussian_axis_support": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "maximum_literal_active_rank": 9,
+ "advertised_maximum_target_rank": 153,
+ "literal_middle_idle_field_jobs": 4032,
+ "literal_middle_idle_rank": 9,
+ "invoice_middle_idle_field_jobs": 0,
+ "direct_D_to_R_upgrade_rank_one_jobs": 4256,
+ "optimistic_surplus_after_direct_upgrade_ignoring_all_idles": -2240,
+ "axis_trace": [
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 2
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 2
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 4
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 4
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 6
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 6
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 8
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 8
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 10
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 10
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 12
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 12
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 14
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 14
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 16
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 16
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 18
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 18
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 1
+ },
+ {
+ "kind": "gaussian",
+ "axes": [
+ 0
+ ],
+ "power": -1
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 18
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 18
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 16
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 16
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 14
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 14
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 12
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 12
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 10
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 10
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 8
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 8
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 6
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 6
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 4
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 4
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 2
+ },
+ {
+ "kind": "power",
+ "axes": [
+ 0,
+ 1,
+ 2,
+ 3,
+ 4,
+ 5,
+ 6,
+ 7,
+ 8
+ ],
+ "power": 2
+ }
+ ]
+ }
+ ],
+ "scope": "The literal main-path listing at this pinned head, its axis dispatch and its mismatch with the advertised invoice. This does not refute a different fresh-stage construction or all coded reverse callers.",
+ "support_argument": "At column width f every literal Q, R and K acts on the same nine f-bit coordinate blocks. Each original-to-output matrix block has row support at most 2^(9f). A rank-r Gaussian has row support 2^(rf). Fixed finite ordinary owner mixing and monomial boundary recodings cannot bridge this gap for r>9 at all widths.",
+ "gauge_replay_limit": "Equality to a reference word using the same reused R proves gauge equivalence only. It does not prove independent-stage target ranks or that a native D call supplies an R letter.",
+ "direct_upgrade_limit": "The 224 H1 per native call is the explicit post-Q-on-both-banks recipe, not a lower bound against every redesigned implementation.",
+ "new_kappa_claimed": false
+}
diff --git a/research/filtered-native-kappa004/evidence/snapshot-probe.json b/research/filtered-native-kappa004/evidence/snapshot-probe.json
new file mode 100644
index 0000000000..3c8bc219da
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/snapshot-probe.json
@@ -0,0 +1,917 @@
+{
+ "status": "BOUNDED_NATIVE_WARP_RECODED_THIN_QUERY_SCREEN",
+ "source_sha256": "de4b75c106f8a3ebe1ee68b53fe7e64bd218120526e726d9bdfd4dab711dd4b2",
+ "core_sha256": "178ff80824a012970fc9435f122152da03c7e6bdc3a7de12136fe03e05cf24fe",
+ "native_paid": {
+ "1": 2201,
+ "2": 412,
+ "3": 510,
+ "4": 127,
+ "5": 40,
+ "8": 8
+ },
+ "arbitrary_originals": 632,
+ "snapshots": 424,
+ "results": [
+ {
+ "port": 0,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 1,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 2,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 3,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 4,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 5,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 6,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 7,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 8,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 9,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 10,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 11,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 12,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 13,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 14,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 15,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 16,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 17,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 18,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 19,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 20,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 21,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 22,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 23,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 24,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 25,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 26,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 27,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 28,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 29,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 30,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 31,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 32,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 33,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 34,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 35,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 36,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 37,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 38,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 39,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 40,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 41,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 42,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 43,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 44,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 45,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 46,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 47,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 48,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 49,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 50,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 51,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 52,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 53,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 54,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 55,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 56,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 57,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 58,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 59,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 60,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 61,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 62,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 63,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 64,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 65,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 66,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 67,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 68,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 69,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 70,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 71,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 72,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 73,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 74,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 75,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 76,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 77,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 78,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 79,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 80,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 81,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 82,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 83,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 84,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 85,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 86,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 87,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 88,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 89,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 90,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 91,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 92,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 93,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 94,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 95,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 96,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 97,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 98,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 99,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 100,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 101,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 102,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 103,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 104,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 105,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 106,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 107,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 108,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 109,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 110,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ },
+ {
+ "port": 111,
+ "ordinary_recoded_candidate_rows": 3,
+ "independent_rows": 3,
+ "recovered": false,
+ "residual_terms": 2,
+ "native_Y_exit_control": true
+ }
+ ],
+ "scope": "Backward native word, rank-eight snapshot arrivals; align one target input term by an inverse existing native word. Exact free-group rows. Negative results do not exclude additional group relations or arbitrary ordinary recodings.",
+ "physical_binding": "Every candidate transport is tested with the actual conjugate K_G and raw-dual canonical-frame tableaus; its B block has rank zero. A positive recipe would still need literal absolute-phase normalizers and caller wrapper checks.",
+ "new_kappa": false,
+ "elapsed_seconds": 1.1098710829974152
+}
diff --git a/research/filtered-native-kappa004/evidence/submission-replay.json b/research/filtered-native-kappa004/evidence/submission-replay.json
new file mode 100644
index 0000000000..853c0628fe
--- /dev/null
+++ b/research/filtered-native-kappa004/evidence/submission-replay.json
@@ -0,0 +1,97 @@
+{
+ "status": "PASS_SCOPED_CONTINUATION_NO_NEW_KAPPA",
+ "new_kappa_claimed": false,
+ "admitted_construction": false,
+ "source_manifest_sha256": "d00b374ef4d2606395107f2ca4f655ff6a8380ad78f5606151b0422cbec8493c",
+ "python": "3.11.11 (main, Dec 7 2024, 10:43:09) [Clang 15.0.0 (clang-1500.3.9.4)]",
+ "commands": [
+ {
+ "script": "history_grade_probe.py",
+ "arguments": [
+ "--packet",
+ "/var/folders/y2/rqpdcbzj7_98322kfb3v7_kr0000gq/T/filtered-native-k004-ah7ufx5s/original/filtered_native_implementation"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 1.694,
+ "stdout": "HISTORY 5000 grade evaluations CacheInfo(hits=0, misses=112, maxsize=None, currsize=112) full-rank witnesses 0\nHISTORY 10000 grade evaluations CacheInfo(hits=0, misses=196, maxsize=None, currsize=196) full-rank witnesses 0\nHISTORY 15000 grade evaluations CacheInfo(hits=0, misses=1648, maxsize=None, currsize=1648) full-rank witnesses 0\nHISTORY 20000 grade evaluations CacheInfo(hits=0, misses=2965, maxsize=None, currsize=2965) full-rank witnesses 0\n{\"status\": \"ACTUAL_PHASE_AWARE_NATIVE_HISTORY_SUPPORT_SCREEN\", \"maximum_snapshot_source_grade\": 8, \"unique_physical_source_terms\": 2965, \"support_bound_applicable\": true, \"elapsed_seconds\": 1.5621904169674963}\n",
+ "stderr": ""
+ },
+ {
+ "script": "snapshot_probe.py",
+ "arguments": [
+ "--packet",
+ "/var/folders/y2/rqpdcbzj7_98322kfb3v7_kr0000gq/T/filtered-native-k004-ah7ufx5s/original/filtered_native_implementation"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 1.11,
+ "stdout": "snapshots 424\nPORT 0 {'port': 0, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.64\nPORT 1 {'port': 1, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.65\nPORT 2 {'port': 2, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.65\nPORT 3 {'port': 3, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.66\nPORT 4 {'port': 4, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.67\nPORT 5 {'port': 5, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.67\nPORT 6 {'port': 6, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.67\nPORT 7 {'port': 7, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.68\nPORT 8 {'port': 8, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.68\nPORT 9 {'port': 9, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.68\nPORT 10 {'port': 10, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.68\nPORT 11 {'port': 11, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.69\nPORT 12 {'port': 12, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.69\nPORT 13 {'port': 13, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.69\nPORT 14 {'port': 14, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.69\nPORT 15 {'port': 15, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.7\nPORT 16 {'port': 16, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.7\nPORT 17 {'port': 17, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.7\nPORT 18 {'port': 18, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.71\nPORT 19 {'port': 19, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.72\nPORT 20 {'port': 20, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.72\nPORT 21 {'port': 21, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.72\nPORT 22 {'port': 22, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.73\nPORT 23 {'port': 23, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.73\nPORT 24 {'port': 24, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.74\nPORT 25 {'port': 25, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.74\nPORT 26 {'port': 26, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.75\nPORT 27 {'port': 27, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.75\nPORT 28 {'port': 28, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.75\nPORT 29 {'port': 29, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.76\nPORT 30 {'port': 30, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.76\nPORT 31 {'port': 31, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.76\nPORT 32 {'port': 32, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.77\nPORT 33 {'port': 33, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.77\nPORT 34 {'port': 34, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.78\nPORT 35 {'port': 35, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.79\nPORT 36 {'port': 36, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.79\nPORT 37 {'port': 37, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.79\nPORT 38 {'port': 38, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.79\nPORT 39 {'port': 39, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.8\nPORT 40 {'port': 40, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.8\nPORT 41 {'port': 41, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.8\nPORT 42 {'port': 42, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.8\nPORT 43 {'port': 43, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.8\nPORT 44 {'port': 44, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.81\nPORT 45 {'port': 45, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.81\nPORT 46 {'port': 46, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.81\nPORT 47 {'port': 47, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.81\nPORT 48 {'port': 48, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.82\nPORT 49 {'port': 49, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.82\nPORT 50 {'port': 50, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.83\nPORT 51 {'port': 51, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.83\nPORT 52 {'port': 52, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.83\nPORT 53 {'port': 53, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.83\nPORT 54 {'port': 54, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.84\nPORT 55 {'port': 55, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.84\nPORT 56 {'port': 56, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.84\nPORT 57 {'port': 57, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.85\nPORT 58 {'port': 58, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.85\nPORT 59 {'port': 59, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.85\nPORT 60 {'port': 60, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.86\nPORT 61 {'port': 61, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.86\nPORT 62 {'port': 62, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.86\nPORT 63 {'port': 63, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.86\nPORT 64 {'port': 64, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.87\nPORT 65 {'port': 65, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.87\nPORT 66 {'port': 66, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.87\nPORT 67 {'port': 67, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.88\nPORT 68 {'port': 68, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.88\nPORT 69 {'port': 69, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.89\nPORT 70 {'port': 70, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.89\nPORT 71 {'port': 71, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.89\nPORT 72 {'port': 72, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.89\nPORT 73 {'port': 73, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.9\nPORT 74 {'port': 74, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.9\nPORT 75 {'port': 75, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.9\nPORT 76 {'port': 76, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.91\nPORT 77 {'port': 77, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.91\nPORT 78 {'port': 78, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.91\nPORT 79 {'port': 79, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.91\nPORT 80 {'port': 80, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.92\nPORT 81 {'port': 81, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.92\nPORT 82 {'port': 82, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.92\nPORT 83 {'port': 83, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.92\nPORT 84 {'port': 84, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.93\nPORT 85 {'port': 85, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.93\nPORT 86 {'port': 86, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.93\nPORT 87 {'port': 87, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.94\nPORT 88 {'port': 88, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.94\nPORT 89 {'port': 89, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.94\nPORT 90 {'port': 90, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.94\nPORT 91 {'port': 91, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.95\nPORT 92 {'port': 92, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.95\nPORT 93 {'port': 93, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.95\nPORT 94 {'port': 94, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.95\nPORT 95 {'port': 95, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.96\nPORT 96 {'port': 96, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.96\nPORT 97 {'port': 97, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.96\nPORT 98 {'port': 98, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.97\nPORT 99 {'port': 99, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.97\nPORT 100 {'port': 100, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.97\nPORT 101 {'port': 101, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.97\nPORT 102 {'port': 102, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.98\nPORT 103 {'port': 103, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.98\nPORT 104 {'port': 104, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.99\nPORT 105 {'port': 105, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.99\nPORT 106 {'port': 106, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.99\nPORT 107 {'port': 107, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 0.99\nPORT 108 {'port': 108, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.0\nPORT 109 {'port': 109, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.0\nPORT 110 {'port': 110, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.0\nPORT 111 {'port': 111, 'ordinary_recoded_candidate_rows': 3, 'independent_rows': 3, 'recovered': False, 'residual_terms': 2, 'native_Y_exit_control': True} seconds 1.0\n",
+ "stderr": ""
+ },
+ {
+ "script": "observer_probe.py",
+ "arguments": [
+ "--packet",
+ "/var/folders/y2/rqpdcbzj7_98322kfb3v7_kr0000gq/T/filtered-native-k004-ah7ufx5s/original/filtered_native_implementation"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 24.354,
+ "stdout": "REPLAY 22137 full unique 4868 frames 1001\nFULL_BASIS 482 seconds 8.771974791015964\nFRAME 100 candidates 8 seconds 11.242642958008219\nFRAME 200 candidates 8 seconds 12.708780125016347\nFRAME 300 candidates 8 seconds 13.759489083022345\nFRAME 400 candidates 8 seconds 15.71126616600668\nFRAME 500 candidates 8 seconds 17.37769254099112\nFRAME 600 candidates 8 seconds 18.74019224999938\nFRAME 700 candidates 8 seconds 19.528414833010174\nFRAME 900 candidates 8 seconds 20.88025045802351\nFRAME 1100 candidates 8 seconds 22.552593291038647\nFRAME 1200 candidates 8 seconds 23.65709366602823\n{\"status\": \"NECESSARY_COSTED_LOWER_FRAME_OBSERVER_SCREEN\", \"all_ranks\": {\"0\": {\"contact_frames\": 1, \"candidate_directions\": 8, \"combined_R_mode_rank\": 8, \"one_lift_rank_per_direction\": 9}, \"1\": {\"contact_frames\": 115, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 8}, \"2\": {\"contact_frames\": 169, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 7}, \"3\": {\"contact_frames\": 168, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 6}, \"4\": {\"contact_frames\": 66, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 5}, \"5\": {\"contact_frames\": 46, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 4}, \"6\": {\"contact_frames\": 146, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 3}, \"7\": {\"contact_frames\": 168, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 2}, \"8\": {\"contact_frames\": 122, \"candidate_directions\": 0, \"combined_R_mode_rank\": 0, \"one_lift_rank_per_direction\": 1}}, \"candidate_count\": 8, \"minimum_individually_clean_lift_rank_mass\": 72, \"recovered_mode_dimension\": 8, \"elapsed_seconds\": 24.118613166036084}\n",
+ "stderr": ""
+ },
+ {
+ "script": "paired_observer_probe.py",
+ "arguments": [
+ "--packet",
+ "/var/folders/y2/rqpdcbzj7_98322kfb3v7_kr0000gq/T/filtered-native-k004-ah7ufx5s/original/filtered_native_implementation"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 0.279,
+ "stdout": "{\"status\": \"PAIRED_NOISY_OBSERVATION_SCREEN\", \"prime\": 65537, \"input_sha256\": \"9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44\", \"frames\": 428, \"pairs_tested_by_total_lift_rank\": {\"2\": 6441, \"3\": 19152, \"4\": 30672}, \"modular_hits\": 0, \"scope\": \"Fixed-vector augmentation; two same-frame gathers lifted to full, with summed lift rank at most the stated budget. Positive modular hits are rechecked over Q. A negative modular screen is discovery evidence only, not rational infeasibility; a rational positive is still short of the physical operator identity.\", \"new_kappa_claimed\": false, \"elapsed_seconds\": 0.1665058340295218}\n",
+ "stderr": ""
+ },
+ {
+ "script": "exact_pair_check.py",
+ "arguments": [],
+ "returncode": 0,
+ "elapsed_seconds": 0.339,
+ "stdout": "{\"status\": \"PASS_EXACT_TWO_FRAME_QUOTIENT_EXCLUSION\", \"input_sha256\": \"9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44\", \"maximum_total_lift_rank\": 4, \"frames\": 428, \"pairs_by_total_lift_rank\": {\"2\": 6441, \"3\": 19152, \"4\": 30672}, \"rational_exclusions_by_full_modular_minor\": 55565, \"pairs_checked_by_rational_elimination\": 700, \"rational_hits\": [], \"joint_noise_cancellation_positive_control\": true, \"scope\": \"Exact finite-family exclusion in the necessary fixed-vector quotient: two arbitrary same-frame gathers at different contact frames, within the stated total full-lift rank. Not a bound for three or more frames, early feedback, changed source words or arbitrary physical programs.\", \"new_kappa_claimed\": false, \"elapsed_seconds\": 0.23928279196843505}\n",
+ "stderr": ""
+ },
+ {
+ "script": "acceptance_budget.py",
+ "arguments": [],
+ "returncode": 0,
+ "elapsed_seconds": 0.512,
+ "stdout": "{\"status\": \"PASS_CONDITIONAL_BUDGET_ONLY_PHYSICAL_CONSTRUCTION_MISSING\", \"target_kappa\": \"1/250\", \"ordinary_BIT\": \"8119584599/2000000000000\", \"outer_failures\": [], \"admitted_construction\": false}\n",
+ "stderr": ""
+ },
+ {
+ "script": "independent_budget_check.py",
+ "arguments": [],
+ "returncode": 0,
+ "elapsed_seconds": 1.846,
+ "stdout": "PASS_INDEPENDENT_INTEGER_ROOT_RAW_BUDGET\n",
+ "stderr": ""
+ },
+ {
+ "script": "repeated_head_probe.py",
+ "arguments": [],
+ "returncode": 0,
+ "elapsed_seconds": 0.09,
+ "stdout": "{\"status\": \"REJECT_REPEATED_HEAD_AS_FRESH_STAGE_SUPPLIER\", \"cases\": [{\"pairs\": 2, \"literal_gate_records\": 21, \"recodings\": 9, \"gaussian_axis_support\": [0, 1, 2, 3, 4, 5, 6, 7, 8], \"maximum_literal_active_rank\": 9, \"advertised_maximum_target_rank\": 17, \"literal_middle_idle_field_jobs\": 224, \"literal_middle_idle_rank\": 9, \"invoice_middle_idle_field_jobs\": 0, \"direct_D_to_R_upgrade_rank_one_jobs\": 448, \"optimistic_surplus_after_direct_upgrade_ignoring_all_idles\": -336}, {\"pairs\": 19, \"literal_gate_records\": 259, \"recodings\": 77, \"gaussian_axis_support\": [0, 1, 2, 3, 4, 5, 6, 7, 8], \"maximum_literal_active_rank\": 9, \"advertised_maximum_target_rank\": 153, \"literal_middle_idle_field_jobs\": 4032, \"literal_middle_idle_rank\": 9, \"invoice_middle_idle_field_jobs\": 0, \"direct_D_to_R_upgrade_rank_one_jobs\": 4256, \"optimistic_surplus_after_direct_upgrade_ignoring_all_idles\": -2240}]}\n",
+ "stderr": ""
+ },
+ {
+ "script": "exact_pair_check.py",
+ "arguments": [
+ "--maximum-cost",
+ "8"
+ ],
+ "returncode": 0,
+ "elapsed_seconds": 1.36,
+ "stdout": "{\"status\": \"PASS_EXACT_TWO_FRAME_QUOTIENT_EXCLUSION\", \"input_sha256\": \"9740e3a654f175a99014c94f574c55e22295b57659fb1bf306f9c16bfbbc7f44\", \"maximum_total_lift_rank\": 8, \"frames\": 871, \"pairs_by_total_lift_rank\": {\"2\": 6441, \"3\": 19152, \"4\": 30672, \"5\": 29430, \"6\": 24991, \"7\": 36014, \"8\": 57591}, \"rational_exclusions_by_full_modular_minor\": 202749, \"pairs_checked_by_rational_elimination\": 1542, \"rational_hits\": [], \"joint_noise_cancellation_positive_control\": true, \"scope\": \"Exact finite-family exclusion in the necessary fixed-vector quotient: two arbitrary same-frame gathers at different contact frames, within the stated total full-lift rank. Not a bound for three or more frames, early feedback, changed source words or arbitrary physical programs.\", \"new_kappa_claimed\": false, \"elapsed_seconds\": 1.261033667018637}\n",
+ "stderr": ""
+ }
+ ],
+ "elapsed_seconds": 33.055
+}
diff --git a/research/filtered-native-kappa004/exact_pair_check.py b/research/filtered-native-kappa004/exact_pair_check.py
new file mode 100644
index 0000000000..902424235c
--- /dev/null
+++ b/research/filtered-native-kappa004/exact_pair_check.py
@@ -0,0 +1,125 @@
+#!/usr/bin/env python3
+"""Exact rational check of the two-frame noisy observer family.
+
+Uses modular full-rank minors only as valid rational rank lower bounds;
+every deficient pair is checked over Q. Apache-2.0; OpenAI Codex assistance.
+"""
+from collections import Counter
+from fractions import Fraction as Q
+from hashlib import sha256
+from itertools import combinations
+from pathlib import Path
+import argparse
+import gzip
+import json
+import time
+
+from paired_observer_probe import insert as insert_mod, mod
+from snapshot_probe import need
+
+HERE = Path(__file__).resolve().parent
+
+
+def add(a, b, c):
+ for i, x in b.items():
+ y = a.get(i, Q(0))+c*x
+ if y:
+ a[i] = y
+ else:
+ a.pop(i, None)
+
+
+def insert(basis, row, tag):
+ row, tag = dict(row), dict(tag)
+ while row:
+ p = min(row)
+ if p not in basis:
+ a = row[p]
+ basis[p] = ({i: x/a for i, x in row.items()},
+ {i: x/a for i, x in tag.items()})
+ return None
+ b, t = basis[p]
+ a = row[p]
+ add(row, b, -a)
+ add(tag, t, -a)
+ return tag
+
+
+def main():
+ ap = argparse.ArgumentParser()
+ ap.add_argument('--maximum-cost', type=int, default=4)
+ args = ap.parse_args()
+ need(2 <= args.maximum_cost <= 8, 'Supported pair budget')
+ begin = time.monotonic()
+ control = {}
+ need(insert(control, {99: Q(1)}, {}) is None, 'First noisy control row')
+ need(insert(control, {99: Q(1)}, {0: Q(1)}) == {0: Q(1)},
+ 'Joint noise cancellation positive control')
+ path = HERE/'evidence/observer-subspaces.json.gz'
+ data = json.loads(gzip.decompress(path.read_bytes()))
+ target_basis = {}
+ for k, record in enumerate(data['targets']):
+ need(insert(target_basis, {int(i): Q(x) for i, x in record}, {k: Q(1)}) is None,
+ 'Independent target modes')
+ frames = []
+ for item in data['frames']:
+ if 9-item['rank'] >= args.maximum_cost:
+ continue
+ basis = {}
+ for record in item['rows']:
+ row = {int(i): Q(x) for i, x in record['row']}
+ tag = {}
+ for p, (b, t) in sorted(target_basis.items()):
+ a = row.get(p, 0)
+ if a:
+ add(row, b, -a)
+ add(tag, t, a)
+ need(not insert(basis, row, tag), 'No individually clean mode')
+ modular = {}
+ for row, tag in basis.values():
+ need(not insert_mod(modular, {i: mod(x) for i, x in row.items()},
+ {i: mod(x) for i, x in tag.items()}),
+ 'No spurious modular clean mode')
+ # Distinct rational pivots remain independent modulo the chosen prime.
+ need(len(modular) == len(basis), 'Per-frame rank preserved modulo prime')
+ if basis:
+ frames.append((item['frame'], item['rank'], basis, modular))
+ counts, minor_proofs, rational_checks, hits = Counter(), 0, 0, []
+ for a, b in combinations(frames, 2):
+ price = 18-a[1]-b[1]
+ if price > args.maximum_cost:
+ continue
+ counts[price] += 1
+ m = dict(a[3])
+ for row, tag in b[3].values():
+ insert_mod(m, row, tag)
+ if len(m) == len(a[2])+len(b[2]):
+ # Full column rank of the nuisance projection over F_p implies
+ # full column rank over Q, hence no intersection with target modes.
+ minor_proofs += 1
+ continue
+ rational_checks += 1
+ q = dict(a[2])
+ for row, tag in b[2].values():
+ relation = insert(q, row, tag)
+ if relation:
+ hits.append({'frames': [a[0], b[0]], 'cost': price,
+ 'mode_combination': {str(i): str(x) for i, x in relation.items()}})
+ need(not hits, 'Unexpected rational two-frame repair candidate')
+ out = {'status': 'PASS_EXACT_TWO_FRAME_QUOTIENT_EXCLUSION',
+ 'input_sha256': sha256(path.read_bytes()).hexdigest(),
+ 'maximum_total_lift_rank': args.maximum_cost,
+ 'frames': len(frames), 'pairs_by_total_lift_rank': dict(sorted(counts.items())),
+ 'rational_exclusions_by_full_modular_minor': minor_proofs,
+ 'pairs_checked_by_rational_elimination': rational_checks,
+ 'rational_hits': hits,
+ 'joint_noise_cancellation_positive_control': True,
+ 'scope': 'Exact finite-family exclusion in the necessary fixed-vector quotient: two arbitrary same-frame gathers at different contact frames, within the stated total full-lift rank. Not a bound for three or more frames, early feedback, changed source words or arbitrary physical programs.',
+ 'new_kappa_claimed': False, 'elapsed_seconds': time.monotonic()-begin}
+ name = 'exact-pair-check.json' if args.maximum_cost == 4 else f'exact-pair-check-budget{args.maximum_cost}.json'
+ (HERE/'evidence'/name).write_text(json.dumps(out, indent=2)+'\n')
+ print(json.dumps(out), flush=True)
+
+
+if __name__ == '__main__':
+ main()
diff --git a/research/filtered-native-kappa004/feedback_search.py b/research/filtered-native-kappa004/feedback_search.py
new file mode 100644
index 0000000000..e4e1f63afa
--- /dev/null
+++ b/research/filtered-native-kappa004/feedback_search.py
@@ -0,0 +1,193 @@
+#!/usr/bin/env python3
+"""Exploratory finite feedback with actively written owned mode banks.
+
+This searches a necessary balanced width-two sector, retaining all seven
+independent stage signs. Numerical failure proves no impossibility. A hit
+must pass rational reconstruction and the full physical all-width program.
+Apache-2.0. Substantial OpenAI Codex assistance.
+"""
+from pathlib import Path
+import argparse
+import itertools
+import json
+import time
+import numpy as np
+import torch
+
+HERE = Path(__file__).resolve().parent
+
+
+def build(packet, scratch):
+ source = json.loads((packet/'upstream/research/kappa-rebuild/bit/COMPLEX-CONTROLLER-FACTOR.json').read_text())['selected_p3_keep43']
+ events = source['physical_events']
+ banks = 6+scratch
+ dim = 2*banks
+ sectors = list(itertools.product((1., -1.), repeat=7))
+ q = np.array([[0., 1.], [1., 0.]])
+ eye = np.eye(dim)
+ fixed, reference = [], []
+ # Controls are placed before every paid macro; constant bridges are
+ # absorbed by these general bank changes of basis.
+ for event in events:
+ kind = event[0]
+ batch, standard, internal = [], [], []
+ for signs in sectors:
+ m, old, correction = eye.copy(), eye.copy(), np.zeros_like(eye)
+ if kind == 'LOCAL':
+ _, s, pair, backward = event
+ x, y = 2*pair, 2*pair+1
+ if backward:
+ x, y = y, x
+ coupling = q*(-1 if backward else 1)
+ changed = coupling.copy()
+ if s == 0:
+ code = np.diag([1+14*(signs[0]-1), 1.])
+ changed = code @ coupling
+ d = signs[0]*q if s == 0 else signs[s]*np.eye(2)
+ for a in (m, old):
+ a[2*x:2*x+2, 2*x:2*x+2] = d
+ a[2*y:2*y+2, 2*y:2*y+2] = d
+ m[2*y:2*y+2, 2*x:2*x+2] = d @ changed
+ old[2*y:2*y+2, 2*x:2*x+2] = d @ coupling
+ if s == 0:
+ correction[2*y:2*y+2, 2*x:2*x+2] = d @ np.diag([1., 0.]) @ d
+ elif kind == 'IDLE':
+ _, pair, stages = event
+ d = np.eye(2)
+ for s in stages:
+ d = (signs[0]*q if s == 0 else signs[s]*np.eye(2)) @ d
+ for a in (m, old):
+ for b in (2*pair, 2*pair+1):
+ a[2*b:2*b+2, 2*b:2*b+2] = d
+ elif kind == 'ADD':
+ _, dst, src, *coef = event
+ for a in (m, old):
+ a[2*dst:2*dst+2, 2*src:2*src+2] = (coef[0] if coef else 1)*np.eye(2)
+ else:
+ assert kind in ('SWAP', 'SIGNED_SWAP')
+ _, x, y = event
+ for a in (m, old):
+ a[2*x:2*x+2, 2*x:2*x+2] = 0
+ a[2*y:2*y+2, 2*y:2*y+2] = 0
+ a[2*x:2*x+2, 2*y:2*y+2] = np.eye(2)
+ a[2*y:2*y+2, 2*x:2*x+2] = -np.eye(2)
+ batch.append(m)
+ standard.append(old)
+ internal.append(correction)
+ fixed.append((kind in ('LOCAL', 'IDLE'), torch.tensor(np.array(batch), dtype=torch.float64),
+ torch.tensor(np.array(internal), dtype=torch.float64)))
+ reference.append(torch.tensor(np.array(standard), dtype=torch.float64))
+ initial = torch.eye(dim, dtype=torch.float64)[:, :12].repeat(128, 1, 1)
+ target = initial.clone()
+ for m in reference:
+ target = m @ target
+ return banks, fixed, initial, target[:, :12, :]
+
+
+def run(packet, scratch, seed, steps, deadline, allow_internal):
+ torch.set_num_threads(1)
+ torch.manual_seed(seed)
+ banks, fixed, initial, target = build(packet, scratch)
+ slots = 1+sum(paid for paid, _, _ in fixed)
+ x = torch.nn.Parameter(.03*torch.randn(slots, banks, banks, dtype=torch.float64))
+ internal = torch.nn.Parameter(torch.tensor(-14. if allow_internal else 0., dtype=torch.float64),
+ requires_grad=allow_internal)
+ variables = [x, internal] if allow_internal else [x]
+ eye = torch.eye(banks, dtype=torch.float64)
+ scale = max(1., float((target*target).mean()))
+
+ def endpoint():
+ a = initial
+ slot = 0
+ for paid, op, correction in fixed:
+ if paid:
+ # I+M acts only on the ordinary selected-mode projection.
+ # A proposed hit is rejected if a control is singular.
+ z = (eye+x[slot]) @ a[:, ::2, :]
+ a = torch.stack((z, a[:, 1::2, :]), dim=2).flatten(1, 2)
+ slot += 1
+ a = (op+internal*correction) @ a
+ z = (eye+x[slot]) @ a[:, ::2, :]
+ a = torch.stack((z, a[:, 1::2, :]), dim=2).flatten(1, 2)
+ return a[:, :12, :]
+
+ opt = torch.optim.Adam(variables, lr=.025)
+ best = float('inf')
+ best_x = None
+ best_internal = None
+ iterations = 0
+ for step in range(steps):
+ if time.monotonic() >= deadline:
+ break
+ opt.zero_grad()
+ residual = endpoint()-target
+ loss = (residual*residual).mean()/scale
+ # Small regularizer discourages large interpolation coefficients;
+ # it is not included in the recorded endpoint residual.
+ (loss+1e-8*(x*x).mean()).backward()
+ torch.nn.utils.clip_grad_norm_(variables, 10.)
+ opt.step()
+ iterations += 1
+ if float(loss.detach()) < best:
+ best = float(loss.detach())
+ best_x = x.detach().clone()
+ best_internal = internal.detach().clone()
+ if step % 100 == 0:
+ print('SEARCH', scratch, seed, step, best, flush=True)
+ if best < 1e-22:
+ break
+ x.data.copy_(best_x)
+ internal.data.copy_(best_internal)
+ if time.monotonic() < deadline:
+ opt = torch.optim.LBFGS(variables, max_iter=100, tolerance_grad=1e-12,
+ tolerance_change=1e-15, line_search_fn='strong_wolfe')
+
+ def closure():
+ opt.zero_grad()
+ r = endpoint()-target
+ loss = (r*r).mean()/scale
+ loss.backward()
+ return loss
+
+ opt.step(closure)
+ residual = endpoint()-target
+ maximum = float(residual.detach().abs().max())
+ mean = float((residual.detach()**2).mean()/scale)
+ min_singular = min(float(torch.linalg.svdvals(eye+m).min()) for m in x.detach())
+ return {'scratch_banks': scratch, 'seed': seed, 'adam_iterations': iterations,
+ 'control_slots': slots, 'parameters': x.numel(),
+ 'normalized_mean_square_residual': mean, 'maximum_entry_residual': maximum,
+ 'minimum_control_singular_value': min_singular,
+ 'internal_source_feedback': allow_internal,
+ 'internal_feedback_coefficient': float(internal.detach()),
+ 'numerical_hit': maximum < 1e-9 and min_singular > 1e-8,
+ 'controls': x.detach().tolist()}
+
+
+def main():
+ ap = argparse.ArgumentParser()
+ ap.add_argument('--packet', type=Path, required=True)
+ ap.add_argument('--seconds', type=int, default=240)
+ ap.add_argument('--steps', type=int, default=1000)
+ ap.add_argument('--scratch', type=int, default=1)
+ ap.add_argument('--internal', action='store_true')
+ args = ap.parse_args()
+ begin = time.monotonic()
+ results = []
+ for seed in range(3):
+ if time.monotonic()-begin >= args.seconds:
+ break
+ r = run(args.packet, args.scratch, seed, args.steps, begin+args.seconds, args.internal)
+ results.append(r)
+ print('RESULT', {k: v for k, v in r.items() if k != 'controls'}, flush=True)
+ if r['numerical_hit']:
+ break
+ out = {'status': 'EXPLORATORY_NUMERICAL_FEEDBACK_SEARCH', 'results': results,
+ 'scope': '128 balanced width-two sectors, all seven stage signs independent; one filtered stage; extra owned mode banks may be actively mixed. Necessary discovery model only; no rational or physical all-width endpoint is certified.',
+ 'new_kappa_claimed': False, 'elapsed_seconds': time.monotonic()-begin}
+ suffix = '-internal' if args.internal else ''
+ (HERE/f'evidence/feedback-scratch{args.scratch}{suffix}.json').write_text(json.dumps(out, indent=2)+'\n')
+
+
+if __name__ == '__main__':
+ main()
diff --git a/research/filtered-native-kappa004/history_grade_probe.py b/research/filtered-native-kappa004/history_grade_probe.py
new file mode 100644
index 0000000000..9e92606490
--- /dev/null
+++ b/research/filtered-native-kappa004/history_grade_probe.py
@@ -0,0 +1,141 @@
+#!/usr/bin/env python3
+"""Price the support of every source-X term in actual native history.
+
+Unlike a phase-erased G-matrix test, this uses the actual phase-sensitive
+native K_G tableau and conjugate raw-dual frame conventions.
+Apache-2.0. Substantial OpenAI Codex assistance.
+"""
+from collections import Counter, defaultdict
+from fractions import Fraction as Q
+from functools import lru_cache
+from hashlib import sha256
+from pathlib import Path
+import argparse
+import gzip
+import json
+import sys
+import time
+
+from snapshot_probe import load, need
+
+HERE = Path(__file__).resolve().parent
+
+
+def main():
+ ap = argparse.ArgumentParser()
+ ap.add_argument('--packet', type=Path, required=True)
+ ap.add_argument('--output', type=Path, default=HERE/'evidence/history-grades.json')
+ args = ap.parse_args()
+ root, start = args.packet, time.monotonic()
+ source = root/'research/native_contact/SCALED-GLOBAL-CANCEL-WORD.json.gz'
+ raw = source.read_bytes()
+ w = json.loads(gzip.decompress(raw))
+ c = w['canonical']
+ sys.path.insert(0, str(root/'research/retained_state_next'))
+ kg = load('history_grade_kg', root/'research/retained_state_next/consumer_kg_module.py')
+ ce = load('history_grade_ce', kg.CLIFFORD)
+ review = load('history_grade_review', root/'research/retained_state_next/review_kg_full_frame_kernel.py')
+ group = kg.PhaseGroup(ce, c, True)
+
+ @lru_cache(None)
+ def frame(f):
+ return review.conjugate(ce, ce.canonical_frame(9, c['frames'][f]))
+
+ @lru_cache(None)
+ def grade(f, op, origin):
+ actual = frame(c['start'][origin]).adjoint().then(group.ops[op]).then(frame(f))
+ return ce.rank([x for x, z, p in actual.tab[9:]])
+
+ rows = [{(i, 0): Q(1)} for i in range(632)]+[{}]
+ cur = c['start'][:]+[None]
+ all_terms = [set() for _ in range(112)]
+ census = [Counter() for _ in range(112)]
+ high = []
+ peak_row = 0
+ observed = 0
+
+ def observe(d, pos):
+ nonlocal peak_row, observed
+ if cur[d] is None:
+ return
+ observed += 1
+ src = [((i, op), a) for (i, op), a in rows[d].items() if i < 112]
+ peak_row = max(peak_row, len(src))
+ for (i, op), a in src:
+ key = cur[d], op
+ if key in all_terms[i]:
+ continue
+ all_terms[i].add(key)
+ g = grade(cur[d], op, i)
+ census[i][g] += 1
+ if g == 9 and len(high) < 12:
+ high.append({'origin': i, 'owner': d, 'after_event': pos,
+ 'frame': cur[d], 'native_word': group.word[op],
+ 'coefficient': str(a)})
+
+ for i in range(632):
+ observe(i, -1)
+ for pos, e in enumerate(w['programs']['backward']):
+ typ, d = e[0], None
+ if typ == 'scalar':
+ a, f = e[1:]
+ d = a[1][1]+632*(a[1][0] == 'C')
+ if a[0] == 'clear':
+ need(d == 632, 'Owned clear')
+ rows[d], cur[d] = {}, f
+ elif a[0] in ('add', 'copy'):
+ s = a[2][1]+632*(a[2][0] == 'C')
+ need(cur[s] == cur[d] == f, 'Literal scalar frame')
+ if a[0] == 'copy':
+ rows[d] = dict(rows[s])
+ else:
+ kg.add(rows[d], rows[s], Q(a[3], a[4]))
+ else:
+ need(a[0] == 'scale', 'Known scalar')
+ rows[d] = {k: a0*Q(a[2], a[3]) for k, a0 in rows[d].items() if a[2]*a0}
+ elif typ == 'warp':
+ d = e[1][1]+632*(e[1][0] == 'C')
+ need(cur[d] == e[3], 'Warp frame')
+ rows[d] = group.left(group.letters[e[2]], rows[d])
+ cur[d] = e[4]
+ elif typ in ('climb', 'center'):
+ d, old, new, rank = e[2:] if typ == 'climb' else (632+e[1], *e[2:])
+ need(cur[d] == old, 'Paid entrance')
+ cur[d] = new
+ else:
+ need(typ in ('phase', 'adapter', 'residual_adapter'), 'Known event')
+ if d is not None:
+ observe(d, pos)
+ if pos and pos % 5000 == 0:
+ print('HISTORY', pos, 'grade evaluations', grade.cache_info(),
+ 'full-rank witnesses', len(high), flush=True)
+ for i in range(632):
+ expected = {(i, 0): Q(1)}
+ if i < 112:
+ expected[i+112, 0] = Q(-1)
+ need(rows[i] == expected, 'All 632 independent inputs and helpers')
+ need(not rows[632], 'Owned return')
+ targets = []
+ for i in range(112):
+ op = frame(c['start'][i]).adjoint().then(frame(c['final'][112+i]))
+ r = ce.rank([x for x, z, p in op.tab[9:]])
+ need(r == 9, 'Missing thin-query X coefficient is full rank nine')
+ targets.append(r)
+ bound = max(max(row) for row in census)
+ out = {'status': 'ACTUAL_PHASE_AWARE_NATIVE_HISTORY_SUPPORT_SCREEN',
+ 'source_sha256': sha256(raw).hexdigest(), 'arbitrary_originals': 632,
+ 'snapshots_observed': observed, 'unique_physical_source_terms': grade.cache_info().currsize,
+ 'per_origin_grade_counts': [dict(sorted(row.items())) for row in census],
+ 'maximum_snapshot_source_grade': bound, 'target_source_grades': targets,
+ 'rank_nine_term_witnesses': high, 'maximum_row_source_terms': peak_row,
+ 'all_original_endpoints': True, 'owned_final_zero': True,
+ 'support_bound_applicable': bound < 9,
+ 'scope': 'Actual backward native history and the fresh X column of a following thin query. Grade counts alone are not a reconstruction or a general paid-cache lower bound.',
+ 'new_kappa': False, 'elapsed_seconds': time.monotonic()-start}
+ args.output.write_text(json.dumps(out, indent=2)+'\n')
+ print(json.dumps({k: out[k] for k in ('status', 'maximum_snapshot_source_grade',
+ 'unique_physical_source_terms', 'support_bound_applicable', 'elapsed_seconds')}), flush=True)
+
+
+if __name__ == '__main__':
+ main()
diff --git a/research/filtered-native-kappa004/independent_budget_check.py b/research/filtered-native-kappa004/independent_budget_check.py
new file mode 100644
index 0000000000..8e05a48c59
--- /dev/null
+++ b/research/filtered-native-kappa004/independent_budget_check.py
@@ -0,0 +1,71 @@
+#!/usr/bin/env python3
+"""Independent algebraic-root enclosures for the raw kappa=1/250 budget.
+
+Uses integer roots, without the retained logarithm/exponential engine.
+This checks hypothetical invoices, never the existence of their words.
+Apache-2.0; substantial OpenAI Codex assistance.
+"""
+from fractions import Fraction as Q
+from pathlib import Path
+import json
+
+from acceptance_budget import invoice
+from snapshot_probe import need
+
+HERE = Path(__file__).resolve().parent
+GRID = 2**80
+
+
+def root_floor(n, k):
+ x = 1 << ((n.bit_length()+k-1)//k)
+ while True:
+ y = ((k-1)*x+n//x**(k-1))//k
+ if y >= x:
+ break
+ x = y
+ need(x**k <= n < (x+1)**k, 'Certified integer root')
+ return x
+
+
+def power_bounds(rank):
+ radicand = rank**249*GRID**250
+ a = root_floor(radicand, 250)
+ return Q(a, GRID), Q(a+1, GRID)
+
+
+def margin(kind, replacements):
+ target, paid = invoice(kind, replacements)
+ lo = hi = Q(0)
+ for rank in set(target) | set(paid):
+ n = target[rank]-paid[rank]
+ a, b = power_bounds(rank)
+ lo += n*(a if n >= 0 else b)
+ hi += n*(b if n >= 0 else a)
+ return lo, hi
+
+
+def main():
+ retained = json.loads((HERE/'evidence/acceptance-budget.json').read_text())
+ rows = {}
+ for kind, minimum in [('complex', 3), ('bit', 2)]:
+ rows[kind] = {}
+ for count in range(5):
+ a, b = margin(kind, count)
+ old = retained['minimum_replacements_in_this_model'][kind]['raw_margins_at_kappa_004'][str(count)]
+ old_a, old_b = Q(old['lower']), Q(old['upper'])
+ need(max(a, old_a) <= min(b, old_b), 'Independent enclosures intersect')
+ need((a > 0) == (count >= minimum), 'Exact conditional center threshold')
+ rows[kind][str(count)] = [str(a), str(b)]
+ # Deliberately altered inventories must lose their strict margin.
+ need(margin('complex', 2)[1] < 0 and margin('bit', 1)[1] < 0,
+ 'One fewer replacement is rejected')
+ out = {'status': 'PASS_INDEPENDENT_INTEGER_ROOT_RAW_BUDGET',
+ 'exponent': '249/250', 'denominator_grid': str(GRID),
+ 'margins': rows, 'new_kappa_claimed': False,
+ 'scope': 'Independent exact algebraic-root bounds for the raw hypothetical moment invoices. Compiler, outer ledger and physical words are separate obligations.'}
+ (HERE/'evidence/independent-budget.json').write_text(json.dumps(out, indent=2)+'\n')
+ print(out['status'])
+
+
+if __name__ == '__main__':
+ main()
diff --git a/research/filtered-native-kappa004/inputs/original-packet.tar.gz b/research/filtered-native-kappa004/inputs/original-packet.tar.gz
new file mode 100644
index 0000000000..7f904307bd
Binary files /dev/null and b/research/filtered-native-kappa004/inputs/original-packet.tar.gz differ
diff --git a/research/filtered-native-kappa004/inputs/pr5270_p19_word.py b/research/filtered-native-kappa004/inputs/pr5270_p19_word.py
new file mode 100644
index 0000000000..6522cf370b
--- /dev/null
+++ b/research/filtered-native-kappa004/inputs/pr5270_p19_word.py
@@ -0,0 +1,242 @@
+#!/usr/bin/env python3
+"""The materialized p=19 coded-reverse word: listing, replay and census.
+
+The word is emitted as an explicit gate listing, not composed in code: a gauge
+load on each odd role, a forward stage, then per pair a reverse add, the stage
+letter, the two bridges, the forward stage and the two bridges again, the
+reversed bridge sweep, and the gauge unload. The replay applies the listing to a
+state and compares it with the standard word, so the emitted object is what is
+verified.
+
+Census: gate records by kind, recodings, monomial field maps, scalar adds,
+owned clears, Gaussian letters, denominators, the paid profile and the rank
+invoice value of the word.
+"""
+import importlib.util, json
+from collections import Counter
+from pathlib import Path
+
+HERE = Path(__file__).resolve().parent
+ROOT = HERE.parents[1]
+P, OWNERS, SIZE = 65537, 112, 512
+H = {4: 28, 7: 7, 8: 47, 9: 326}
+P_NEW = {1: 2201, 2: 412, 3: 510, 4: 127, 5: 40}
+P_OLD = {1: 2237, 2: 388, 3: 494, 4: 147, 5: 36, 8: 8}
+MAPS, ADDS, CLEARS = 224, 896, 16 # per recoding: 112 K + 112 K^-1, 8 x (56 + 56) adds, 16 clears
+
+def need(ok, why):
+ if not ok: raise ValueError(why)
+
+def engine():
+ spec = importlib.util.spec_from_file_location('lift', HERE/'physical_gauge_lift.py')
+ mod = importlib.util.module_from_spec(spec); spec.loader.exec_module(mod)
+ return mod
+
+PATTERN = 'I'*9 + 'T'*9
+
+def gaussian_power(bank, axes, power=1):
+ """R**power in one butterfly pass: the gate matrix has eigenvalues 1 and i, so its
+ power has a=(1+i^power)/2, b=(1-i^power)/2."""
+ ik = pow(256, power, P)
+ a = (1+ik)*pow(2, -1, P) % P
+ b = (1-ik)*pow(2, -1, P) % P
+ out = [r[:] for r in bank]
+ for bit in axes:
+ step = 1 << bit
+ for row in out:
+ for st in range(0, SIZE, 2*step):
+ for x in range(st, st+step):
+ u, v = row[x], row[x+step]
+ row[x] = (a*u+b*v) % P
+ row[x+step] = (b*u+a*v) % P
+ return out
+
+def idle_census(p, pat=PATTERN):
+ """The formal controller's idle calls: (kind, pair, rank, retained)."""
+ rows = []
+ for stage in range(1, 2*p):
+ if stage % 2 and stage <= 2*p-3:
+ pair = (stage+1)//2
+ rows.append(('initial', pair, stage+1, pat[pair-1] in 'IB'))
+ elif stage % 2 == 0 and 2 <= stage <= 2*p-2:
+ rows.append(('middle', stage//2, 1, True))
+ for j in range(p-1):
+ rows.append(('terminal', j, 2*p+1-(2*j+3), pat[j] in 'TB'))
+ return rows
+
+def pattern_of(p):
+ return 'I'*((p-1)//2) + 'T'*(p-1-(p-1)//2)
+
+def listing(p, letter='R'):
+ pat = pattern_of(p)
+ gates = []
+ for r in range(1, 2*p, 2): gates.append(('GAUGE_LOAD', r, 'C^-1'))
+ gates.append(('FORWARD', 0, 1, 'C^-1.Q^-1'))
+ for j in range(p):
+ gates.append(('REVERSE', 2*j, 2*j+1, 'Q.C'))
+ gates.append(('LETTER', 2*j, 2*j+1, letter))
+ if j < p-1 and pat[j] in 'IB':
+ gates.append(('IDLE', 2*(j+1), 2*(j+1)+1, 2*j+2, 'initial'))
+ if j < p-1:
+ gates.append(('BRIDGE', 2*j, 2*j+2, 1)); gates.append(('BRIDGE', 2*j+1, 2*j+3, -1))
+ gates.append(('FORWARD', 2*j, 2*j+1, 'C^-1.Q^-1'))
+ if j < p-1:
+ gates.append(('IDLE', 2*(j+1), 2*(j+1)+1, 1, 'middle'))
+ gates.append(('BRIDGE', 2*j, 2*j+2, -1)); gates.append(('BRIDGE', 2*j+1, 2*j+3, 1))
+ for j in range(p-1):
+ if pat[j] in 'TB':
+ gates.append(('IDLE', 2*j, 2*j+1, 2*p+1-(2*j+3), 'terminal'))
+ for j in reversed(range(p-1)):
+ gates.append(('BRIDGE', 2*j+2, 2*j, 1)); gates.append(('BRIDGE', 2*j+1, 2*j+3, -1))
+ for r in range(1, 2*p, 2): gates.append(('GAUGE_UNLOAD', r, 'C'))
+ for j in range(p): gates.append(('SWAP', 2*j, 2*j+1, -1))
+ return gates
+
+def standard(p, v0, letter, L):
+ st = [r[:] for r in v0]
+ Q, Dg, R = (lambda x, inv=False: L.gaussian(x, [0], inv)), \
+ (lambda x, inv=False: L.gaussian(x, range(1, 9), inv)), \
+ (lambda x, inv=False: L.gaussian(x, range(9), inv))
+ let = {'R': R, 'D': Dg}[letter]
+ st[1] = L.add(st[1], Q(st[0], True))
+ for j in range(p):
+ a, b = 2*j, 2*j+1
+ st[a] = L.add(st[a], Q(st[b]), -1)
+ st[a] = let(st[a]); st[b] = let(st[b])
+ if j < p-1 and pattern_of(p)[j] in 'IB':
+ for r in (2*(j+1), 2*(j+1)+1): st[r] = gaussian_power(st[r], range(9), 2*j+2)
+ if j < p-1:
+ st[2*j] = L.add(st[2*j], st[2*j+2], 1); st[2*j+1] = L.add(st[2*j+1], st[2*j+3], -1)
+ st[b] = L.add(st[b], Q(st[a], True))
+ if j < p-1:
+ for r in (2*(j+1), 2*(j+1)+1): st[r] = gaussian_power(st[r], range(9), 1)
+ st[2*j] = L.add(st[2*j], st[2*j+2], -1); st[2*j+1] = L.add(st[2*j+1], st[2*j+3], 1)
+ for j in range(p-1):
+ if pattern_of(p)[j] in 'TB':
+ for r in (2*j, 2*j+1): st[r] = gaussian_power(st[r], range(9), 2*p+1-(2*j+3))
+ for j in reversed(range(p-1)):
+ st[2*j+2] = L.add(st[2*j+2], st[2*j], 1); st[2*j+1] = L.add(st[2*j+1], st[2*j+3], -1)
+ for j in range(p):
+ hold = st[2*j]
+ st[2*j] = st[2*j+1]
+ st[2*j+1] = [[(-v) % P for v in row] for row in hold]
+ return st
+
+def replay(p, gates, v0, L, C, Ci):
+ Q = lambda x, inv=False: L.gaussian(x, [0], inv)
+ let = {'R': (lambda x, inv=False: L.gaussian(x, range(9), inv)),
+ 'D': (lambda x, inv=False: L.gaussian(x, range(1, 9), inv))}
+ st = [r[:] for r in v0]
+ recodings = 0
+ for g in gates:
+ kind = g[0]
+ if kind == 'GAUGE_LOAD':
+ st[g[1]] = Ci(st[g[1]]); recodings += 1
+ elif kind == 'GAUGE_UNLOAD':
+ st[g[1]] = C(st[g[1]]); recodings += 1
+ elif kind == 'FORWARD':
+ st[g[2]] = L.add(st[g[2]], Ci(Q(st[g[1]], True))); recodings += 1
+ elif kind == 'REVERSE':
+ st[g[1]] = L.add(st[g[1]], Q(C(st[g[2]])), -1); recodings += 1
+ elif kind == 'LETTER':
+ f = let[g[3]]
+ for r in g[1:3]: st[r] = f(st[r])
+ elif kind == 'IDLE':
+ for r in (g[1], g[2]): st[r] = gaussian_power(st[r], range(9), g[3])
+ elif kind == 'BRIDGE':
+ st[g[1]] = L.add(st[g[1]], st[g[2]], g[3])
+ elif kind == 'SWAP':
+ hold = st[g[1]]
+ st[g[1]] = st[g[2]]
+ st[g[2]] = [[(-v) % P for v in row] for row in hold]
+ else:
+ raise ValueError('unknown gate ' + kind)
+ return st, recodings
+
+def invoice(p, pat, thick, prof):
+ full = frozenset(range(2*p+1)); T, D = Counter(), Counter()
+ outs = [full, full]
+ for i, ch in enumerate(pat, 1):
+ outs += [frozenset(range(0, 2*i+1)) if ch == 'I' else frozenset(range(2*i, 2*p+1))]*2
+ for s in outs: T[1+8*len(s & thick)] += 112
+ for i, ch in enumerate(pat, 1):
+ if ch == 'I': D[8*len(frozenset(range(0, 2*i)) & thick)] += 224
+ else: D[8*len(frozenset(range(2*i+1, 2*p+1)) & thick)] += 224
+ for j in range(1, p): D[8*len(frozenset([2*j]) & thick)] += 224
+ for r, n in H.items(): T[r] += len(thick)*n
+ for r, n in prof.items(): D[r] += len(thick)*n
+ D[1] += 112*(2*p+1-len(thick))
+ T.pop(0, None); D.pop(0, None)
+ return T, D
+
+def root(T, D):
+ f = lambda c: sum(n*r**(1-c) for r, n in T.items())-sum(n*r**(1-c) for r, n in D.items())
+ lo, hi = 0.0, 0.05
+ for _ in range(200):
+ mid = (lo+hi)/2
+ if f(mid) > 0: lo = mid
+ else: hi = mid
+ return lo
+
+def main():
+ L = engine()
+ receipt = json.loads((ROOT/'research/coded-native-caller/NORMALIZERS.json').read_text())
+ modes = [[(i, s) for i, s in enumerate(c) if s] for c in receipt['mode_columns']]
+ C = lambda x: L.physical_code(x, receipt['ports'], modes, False)
+ Ci = lambda x: L.physical_code(x, receipt['ports'], modes, True)
+
+ import random
+ rng = random.Random(5)
+ p = 2
+ gates = listing(p)
+ kinds = Counter(g[0] for g in gates)
+ v0 = [[[rng.randrange(P) for _ in range(SIZE)] for _ in range(OWNERS)] for _ in range(2*p)]
+ out, rec = replay(p, gates, v0, L, C, Ci)
+ ref = standard(p, v0, 'R', L)
+ res = sum(L.diff(out[r], ref[r]) for r in range(2*p))
+ need(res == 0, 'p=2 replay')
+ need(rec == 4*p+1, 'p=2 recodings')
+ print('PASS p=2 listing replay: %d gate records %s, %d recodings, residual 0 of %d entries'
+ % (len(gates), dict(kinds), rec, 2*p*OWNERS*SIZE))
+
+ p = 19
+ gates = listing(p)
+ kinds = Counter(g[0] for g in gates)
+ v0 = [[[rng.randrange(P) for _ in range(SIZE)] for _ in range(OWNERS)] for _ in range(2*p)]
+ out, rec = replay(p, gates, v0, L, C, Ci)
+ ref = standard(p, v0, 'R', L)
+ res = sum(L.diff(out[r], ref[r]) for r in range(2*p))
+ need(res == 0, 'p=19 replay')
+ need(rec == 4*p+1, 'p=19 recodings')
+ print('PASS p=19 listing replay: %d gate records %s, %d recodings, residual 0 of %d entries'
+ % (len(gates), dict(kinds), rec, 2*p*OWNERS*SIZE))
+
+ thick = frozenset(range(1, 2*p, 2))
+ pat = 'I'*9+'T'*9
+ r_new = root(*invoice(p, pat, thick, P_NEW))
+ r_old = root(*invoice(p, pat, thick, P_OLD))
+ need(abs(r_new-0.007578535189897761) < 1e-9, 'p19 coded root')
+ letters = kinds['LETTER']
+ census = {
+ 'p': p, 'pattern': pat, 'stages': 2*p+1,
+ 'gate_records': len(gates), 'gate_kinds': dict(kinds),
+ 'gaussian_letters': letters, 'letter_map': 'R, the full nine-gate Gaussian',
+ 'recodings': rec, 'recoding_breakdown': {'gauge loads': p, 'gauge unloads': p,
+ 'forward stage reads': p+1, 'reverse stage reads': p},
+ 'monomial_field_maps': rec*MAPS, 'scalar_adds': rec*ADDS, 'owned_clears': rec*CLEARS,
+ 'recursive_gaussian_children': 0,
+ 'denominators': {'forward': '1/4', 'inverse': '1/52', 'controller': [1, 13]},
+ 'paid_profile': dict(sorted(P_NEW.items())), 'helper_profile': dict(sorted(H.items())),
+ 'productive_total': sum(invoice(p, pat, thick, P_NEW)[0].values()),
+ 'complex_with_PR4929_profile': round(r_new, 12),
+ 'complex_with_prior_profile': round(r_old, 12),
+ 'helper_units': len(thick)*sum(H.values()), 'helper_profile_inherited': dict(sorted(H.items())),
+ 'helper_note': 'the independent helper block is inherited unchanged from the source profile and priced by '
+ 'the invoice T side; only the main data path is materialized and replayed here',
+ 'entries_checked': 2*p*OWNERS*SIZE,
+ 'scope': 'materialized listing, exact replay at p=2 and p=19, exact field-level census'}
+ (HERE/'P19_WORD.json').write_text(json.dumps(census, indent=2, sort_keys=True)+'\n')
+ print(json.dumps(census, sort_keys=True))
+
+if __name__ == '__main__':
+ main()
diff --git a/research/filtered-native-kappa004/inputs/pr5270_physical_gauge_lift.py b/research/filtered-native-kappa004/inputs/pr5270_physical_gauge_lift.py
new file mode 100644
index 0000000000..c68b7ca2cd
--- /dev/null
+++ b/research/filtered-native-kappa004/inputs/pr5270_physical_gauge_lift.py
@@ -0,0 +1,310 @@
+#!/usr/bin/env python3
+"""Global gauge lift for the coded reverse controller, p=2 and p=19 exact.
+
+The recovered full_build.py compares two builds that draw independent random
+initial roles, so its residuals measure state mismatch, not the construction.
+With a shared initial state no boundary orientation repairs the rank-8 letter:
+on a role that carries the code, a stage letter L acts as lambda L lambda^-1,
+so L must commute with the code. A is connected (104 neighbours per port), so
+an admissible letter also needs K_i L K_i^-1 port independent, and the census
+finds one class for the full Gaussian R and many for every proper subproduct
+tested (112 for D, 112 for Q, 60 for rank 4, 45 for rank 7). Alternatively the
+code can be unloaded before the letter, which costs one extra recoding per
+reverse stage and admits rank-8 letters.
+
+The lift is a gauge statement, checked gate by gate:
+
+ every coded gate is the standard gate conjugated per role by the gauge lam,
+ v = lam_r phi_r, the gauge is constant on each bridge parity class, and the
+ invariant v = lam phi holds after every gate that writes a role.
+
+ S = Q D C^-1 Q^-1 D^-1 equals C^-1 exactly, so the thin source is the code
+ inverse and the thin read is C^-1 after Q^-1.
+
+Scope: exact operator identity for the p=2 and p=19 controller words, the
+forced-letter census and the recoding bill. Not a supplier or compiler claim;
+the field-map tariff on that bill is field_map_tariff.py.
+"""
+import json, random
+from pathlib import Path
+
+HERE = Path(__file__).resolve().parent
+ROOT = HERE.parents[1]
+P, IMAG, OWNERS, SIZE = 65537, 256, 112, 512
+MONOMIAL_MAPS, SCALAR_ADDS, OWNED_CLEARS = 224, 896, 16
+
+def need(ok, why):
+ if not ok: raise ValueError(why)
+
+def empty(): return [[0]*SIZE for _ in range(OWNERS)]
+def add(x, y, s=1): return [[(a+s*b) % P for a, b in zip(xi, yi)] for xi, yi in zip(x, y)]
+def gaussian(bank, axes, inverse=False):
+ a = (1+(-IMAG if inverse else IMAG))*pow(2, -1, P) % P
+ b = (1-(-IMAG if inverse else IMAG))*pow(2, -1, P) % P
+ out = [r[:] for r in bank]
+ for bit in axes:
+ step = 1 << bit
+ for row in out:
+ for st in range(0, SIZE, 2*step):
+ for x in range(st, st+step):
+ u, v = row[x], row[x+step]
+ row[x] = (a*u+b*v) % P
+ row[x+step] = (b*u+a*v) % P
+ return out
+def signed_map(rec, x, inverse=False):
+ rows, mask = rec['G_rows'], rec['Z_mask']
+ if inverse:
+ y = sum((((sum(((r >> bit) & 1) << j for j, r in enumerate(rows)) & x).bit_count() & 1) << bit) for bit in range(9))
+ sign = 1-2*((mask & x).bit_count() & 1)
+ else:
+ y = sum((((r & x).bit_count() & 1) << bit) for bit, r in enumerate(rows))
+ sign = 1-2*((mask & y).bit_count() & 1)
+ return y, sign
+def signed_row(rec, row, inverse=False):
+ out = [0]*SIZE
+ for x, v in enumerate(row):
+ if v:
+ y, s = signed_map(rec, x, inverse)
+ out[y] = s*v % P
+ return out
+def scalar_code(bank, modes, inverse=False):
+ temp = [[sum(sg*bank[i][x] for i, sg in c) % P for x in range(SIZE)] for c in modes]
+ den = pow(52 if inverse else 4, -1, P)
+ out = [r[:] for r in bank]
+ for m, c in enumerate(modes):
+ for i, sg in c:
+ out[i] = [(a-sg*den*b) % P for a, b in zip(out[i], temp[m])]
+ return out
+def physical_code(bank, records, modes, inverse=False):
+ mixed = empty()
+ for i, row in enumerate(bank):
+ for x, v in enumerate(row):
+ if v:
+ y, s = signed_map(records[i], x); mixed[i][y] = s*v % P
+ mixed = scalar_code(mixed, modes, inverse)
+ out = empty()
+ for i, row in enumerate(mixed):
+ for x, v in enumerate(row):
+ if v:
+ y, s = signed_map(records[i], x, True); out[i][y] = s*v % P
+ return out
+def diff(a, b): return sum(1 for i in range(OWNERS) for j in range(SIZE) if a[i][j] != b[i][j])
+IDENT = lambda x: x
+
+class GaugeWord:
+ """Logical roles v, physical roles phi, per-role gauge lam with v = lam phi."""
+
+ def __init__(self, p, v0, C, Ci, Q):
+ self.p, self.C, self.Ci, self.Q = p, C, Ci, Q
+ self.v = [r[:] for r in v0]
+ self.f = [r[:] for r in v0]
+ self.lam = [IDENT]*2*p
+ self.linv = [IDENT]*2*p
+ self.fails = []
+ self.recodings = 0
+
+ def check(self, roles, tag):
+ for r in roles:
+ d = diff(self.lam[r](self.f[r]), self.v[r])
+ if d: self.fails.append((tag, r, d))
+
+ def set_gauge(self, r, lam, linv, change):
+ self.f[r] = change(self.f[r]); self.lam[r] = lam; self.linv[r] = linv
+ self.recodings += 1
+ self.check([r], 'gauge%d' % r)
+
+ def fwd(self, j, order):
+ x, y = 2*j, 2*j+1
+ self.v[y] = add(self.v[y], self.Q(self.v[x], True))
+ src = self.f[x]
+ if self.lam[x] is not IDENT: src = self.lam[x](src); self.recodings += 1
+ if order == 'inv-first':
+ src = self.Q(src, True)
+ if self.linv[y] is not IDENT: src = self.linv[y](src); self.recodings += 1
+ else:
+ if self.linv[y] is not IDENT: src = self.linv[y](src); self.recodings += 1
+ src = self.Q(src, True)
+ self.f[y] = add(self.f[y], src)
+ self.check([y], 'fwd%d' % j)
+
+ def rev_add(self, j):
+ a, b = 2*j, 2*j+1
+ self.v[a] = add(self.v[a], self.Q(self.v[b]), -1)
+ src = self.f[b]
+ if self.lam[b] is not IDENT: src = self.lam[b](src); self.recodings += 1
+ src = self.Q(src)
+ if self.linv[a] is not IDENT: src = self.linv[a](src); self.recodings += 1
+ self.f[a] = add(self.f[a], src, -1)
+ self.check([a], 'rev%d-add' % j)
+
+ def rev_letter(self, j, letter):
+ for r in (2*j, 2*j+1):
+ self.v[r] = letter(self.v[r])
+ self.f[r] = letter(self.f[r])
+ self.check([2*j, 2*j+1], 'rev%d-letter' % j)
+
+ def bridge(self, dst, src, cf):
+ for d, s, cc in ((2*dst, 2*src, cf), (2*src+1, 2*dst+1, -cf)):
+ need(self.lam[d] is self.lam[s] and self.linv[d] is self.linv[s],
+ 'gauge mismatch across bridge %d-%d' % (dst, src))
+ self.v[d] = add(self.v[d], self.v[s], cc)
+ self.f[d] = add(self.f[d], self.f[s], cc)
+ self.check([2*dst, 2*src+1], 'bridge%d-%d' % (dst, src))
+
+def reference(p, v0, letter, Qc):
+ """The recovered full_build word: no code, given letter, same gate sequence."""
+ st = [r[:] for r in v0]
+ def fwd(j):
+ x, y = 2*j, 2*j+1
+ st[y] = add(st[y], Qc(st[x], True))
+ def rev(j):
+ a, b = 2*j, 2*j+1
+ st[a] = add(st[a], Qc(st[b]), -1)
+ st[a] = letter(st[a]); st[b] = letter(st[b])
+ def bridge(dst, src, cf):
+ for d, s, cc in ((2*dst, 2*src, cf), (2*src+1, 2*dst+1, -cf)):
+ st[d] = add(st[d], st[s], cc)
+ fwd(0)
+ for j in range(p):
+ rev(j)
+ if j < p-1: bridge(j, j+1, 1)
+ fwd(j)
+ if j < p-1: bridge(j, j+1, -1)
+ for j in reversed(range(p-1)): bridge(j+1, j, 1)
+ return st
+
+def word(p, v0, C, Ci, Q, letter, mode, order='inv-first'):
+ w = GaugeWord(p, v0, C, Ci, Q)
+ if mode == 'odd-gauge':
+ for r in range(1, 2*p, 2): w.set_gauge(r, C, Ci, Ci)
+ elif mode == 'even-gauge':
+ for r in range(0, 2*p, 2): w.set_gauge(r, C, Ci, Ci)
+ elif mode == 'coded-all':
+ for r in range(2*p): w.set_gauge(r, C, Ci, Ci)
+ coded = mode in ('odd-gauge', 'even-gauge', 'coded-all')
+ w.fwd(0, order if coded else 'inv-last')
+ for j in range(p):
+ if mode == 'transient':
+ w.set_gauge(2*j+1, C, Ci, Ci)
+ w.rev_add(j)
+ w.set_gauge(2*j+1, IDENT, IDENT, C)
+ w.rev_letter(j, letter)
+ else:
+ w.rev_add(j)
+ w.rev_letter(j, letter)
+ if j < p-1: w.bridge(j, j+1, 1)
+ w.fwd(j, order if coded else 'inv-last')
+ if j < p-1: w.bridge(j, j+1, -1)
+ for j in reversed(range(p-1)): w.bridge(j+1, j, 1)
+ if mode in ('odd-gauge', 'even-gauge'):
+ for r in (range(1, 2*p, 2) if mode == 'odd-gauge' else range(0, 2*p, 2)):
+ w.set_gauge(r, IDENT, IDENT, C)
+ return w
+
+def bill(w):
+ return {'recodings': w.recodings, 'monomial_field_maps': w.recodings*MONOMIAL_MAPS,
+ 'scalar_adds': w.recodings*SCALAR_ADDS, 'owned_clears': w.recodings*OWNED_CLEARS}
+
+def main():
+ receipt = json.loads((ROOT/'research/coded-native-caller/NORMALIZERS.json').read_text())
+ records, cols = receipt['ports'], receipt['mode_columns']
+ modes = [[(i, s) for i, s in enumerate(c) if s] for c in cols]
+ C = lambda x: physical_code(x, records, modes, False)
+ Ci = lambda x: physical_code(x, records, modes, True)
+ Q = lambda x, inv=False: gaussian(x, [0], inv)
+ Dg = lambda x, inv=False: gaussian(x, range(1, 9), inv)
+ R = lambda x, inv=False: gaussian(x, range(9), inv)
+
+ rng = random.Random(5)
+ def dense(): return [[rng.randrange(P) for _ in range(SIZE)] for _ in range(OWNERS)]
+ def sparse(n=120):
+ b = empty()
+ for _ in range(n): b[rng.randrange(OWNERS)][rng.randrange(SIZE)] = rng.randrange(1, P)
+ return b
+
+ probe = dense()
+ need(diff(Ci(C(probe)), probe) == 0 and diff(C(Ci(probe)), probe) == 0, 'C inverse on a dense bank')
+ print('PASS code inverse: C C^-1 = C^-1 C = I on a dense bank')
+ need(diff(Q(Dg(Ci(Q(Dg(probe, True), True)))), Ci(probe)) == 0, 'S = C^-1')
+ print('PASS thin source S = Q D C^-1 Q^-1 D^-1 equals the code inverse C^-1 exactly')
+ cd, cq, cr = diff(Dg(C(probe)), C(Dg(probe))), diff(Q(C(probe)), C(Q(probe))), diff(R(C(probe)), C(R(probe)))
+ need(cd and cq and cr == 0, 'letter commutation')
+ print('PASS letters: [C,D] differs on %d entries, [C,Q] on %d, [C,R] on 0' % (cd, cq))
+
+ nb = [set() for _ in range(OWNERS)]
+ for c in cols:
+ idx = [i for i, s in enumerate(c) if s]
+ for i in idx: nb[i] |= set(idx)
+ seen, stack = {0}, [0]
+ while stack:
+ i = stack.pop()
+ for j in nb[i]:
+ if j not in seen: seen.add(j); stack.append(j)
+ need(len(seen) == OWNERS and min(len(x) for x in nb) > 0, 'A is connected')
+ probe_row = [(i*37+11) % P or 1 for i in range(SIZE)]
+ def conj_classes(axes):
+ sigs = {}
+ for i, rec in enumerate(records):
+ row = signed_row(rec, gaussian([signed_row(rec, probe_row, True)], axes)[0])
+ sigs.setdefault(tuple(row), []).append(i)
+ return len(sigs)
+ ranks = {'R(9)': range(9), 'D(8)': range(1, 9), 'Q(1)': (0,), 'rank4': range(4), 'rank7': range(7)}
+ classes = {k: conj_classes(a) for k, a in ranks.items()}
+ need(classes['R(9)'] == 1 and all(v > 1 for k, v in classes.items() if k != 'R(9)'), 'forced letter')
+ print('PASS forced letter: A connected (112 nodes, %d neighbours each); distinct K-conjugates %s'
+ % (len(nb[0]), classes))
+
+ p = 2
+ v0 = [dense() for _ in range(2*p)]
+ total = 2*p*OWNERS*SIZE
+ ref = reference(p, v0, Dg, Q)
+ w = word(p, v0, C, Ci, Q, Dg, 'std', 'inv-last')
+ need(all(diff(w.f[r], ref[r]) == 0 for r in range(2*p)), 'engine reproduces the recovered reference word')
+ print('PASS engine reproduces the recovered full_build word gate for gate (rank-8 letter, no code)')
+ p2_bills = {}
+ for label, letter, mode, order in (
+ ('letter R, odd-role gauge', R, 'odd-gauge', 'inv-first'),
+ ('letter R, even-role gauge', R, 'even-gauge', 'inv-first'),
+ ('letter R, all roles coded', R, 'coded-all', 'inv-first'),
+ ('letter I, odd-role gauge', IDENT, 'odd-gauge', 'inv-first'),
+ ('letter D, odd-role gauge + unload', Dg, 'transient', 'inv-first'),
+ ):
+ w = word(p, v0, C, Ci, Q, letter, mode, order)
+ need(not w.fails, 'p=2 gate invariant: ' + label + ' ' + mode)
+ decoded = sum(diff(w.lam[r](w.f[r]), w.v[r]) for r in range(2*p))
+ p2_bills[mode + '/' + ('R' if letter is R else 'I' if letter is IDENT else 'D')] = w.recodings
+ print('PASS p=2 %-34s decoded residual %d of %d entries, 0 gate failures, bill %s'
+ % (label + ' ' + mode, decoded, total, bill(w)))
+ for label, letter, mode, order in (
+ ('letter D, odd-role gauge', Dg, 'odd-gauge', 'inv-first'),
+ ('letter Q, odd-role gauge', Q, 'odd-gauge', 'inv-first'),
+ ('letter R, thin read in baseline order Q^-1 C^-1', R, 'odd-gauge', 'inv-last'),
+ ('recovered baseline: letter D and thin order', Dg, 'odd-gauge', 'inv-last'),
+ ):
+ w = word(p, v0, C, Ci, Q, letter, mode, order)
+ need(w.fails, 'control must fail: ' + label)
+ print('PASS p=2 control rejected: %-44s %d gate failures, first %s'
+ % (label, len(w.fails), w.fails[0]))
+
+ p = 19
+ v0 = [sparse() for _ in range(2*p)]
+ total = 2*p*OWNERS*SIZE
+ bills = {}
+ for label, mode in (('odd-role gauge', 'odd-gauge'), ('even-role gauge', 'even-gauge')):
+ w = word(p, v0, C, Ci, Q, R, mode)
+ need(not w.fails, 'p=19 gate invariant: ' + label)
+ decoded = sum(diff(w.lam[r](w.f[r]), w.v[r]) for r in range(2*p))
+ bills[mode] = w.recodings
+ print('PASS p=19 %-16s decoded residual %d of %d entries, 0 gate failures, bill %s'
+ % (label, decoded, total, bill(w)))
+ receipt = {'status': 'PASS_CODED_REVERSE_GLOBAL_GAUGE_LIFT',
+ 'p2_entries': 4*OWNERS*SIZE, 'p19_entries': 38*OWNERS*SIZE,
+ 'p19_recodings': bills, 'p2_recodings': p2_bills,
+ 'commuting_letters': ['I', 'R'], 'rejected_letters': ['D', 'Q'],
+ 'thin_source': 'S = Q D C^-1 Q^-1 D^-1 = C^-1',
+ 'scope': 'exact operator identity and local gauge bill; no tariff, compiler or kappa claim'}
+ (HERE/'LIFT.json').write_text(json.dumps(receipt, indent=2, sort_keys=True) + '\n')
+ print(json.dumps(receipt, sort_keys=True))
+
+if __name__ == '__main__':
+ main()
diff --git a/research/filtered-native-kappa004/observer_milp.py b/research/filtered-native-kappa004/observer_milp.py
new file mode 100644
index 0000000000..8c3e2c0c8b
--- /dev/null
+++ b/research/filtered-native-kappa004/observer_milp.py
@@ -0,0 +1,109 @@
+#!/usr/bin/env python3
+"""Discovery MILP for joint decoding of noisy lower-frame observations.
+
+Coefficients are bounded only for this search. A positive selected set is
+rechecked over Q; neither a solver failure nor its bound is a theorem here.
+Apache-2.0; OpenAI Codex assistance.
+"""
+from fractions import Fraction as Q
+from hashlib import sha256
+from pathlib import Path
+import argparse
+import gzip
+import json
+import time
+import numpy as np
+from scipy.optimize import Bounds, LinearConstraint, milp
+from scipy.sparse import coo_matrix
+
+from snapshot_probe import Span
+
+HERE = Path(__file__).resolve().parent
+
+
+def main():
+ ap = argparse.ArgumentParser()
+ ap.add_argument('--mode', type=int, default=0)
+ ap.add_argument('--seconds', type=int, default=90)
+ ap.add_argument('--maximum-cost', type=int, default=8)
+ args = ap.parse_args()
+ begin = time.monotonic()
+ path = HERE/'evidence/observer-subspaces.json.gz'
+ data = json.loads(gzip.decompress(path.read_bytes()))
+ target = {int(i): Q(a) for i, a in data['targets'][args.mode]}
+ frames, columns = [], []
+ # Explicit positive control: a ground RY gather followed by one H9.
+ # It is excluded by an eight-rank budget and admitted at nine.
+ if args.maximum_cost >= 9:
+ frames.append({'frame': 0, 'rank': 0, 'cost': 9})
+ columns.append((0, target, {'frame': 0, 'owner': 'ground_RY_mode',
+ 'mode': args.mode, 'after_event': -1}))
+ for item in data['frames']:
+ price = 9-item['rank']
+ if price > args.maximum_cost:
+ continue
+ basis = Span()
+ for record in item['rows']:
+ basis.insert({int(i): Q(a) for i, a in record['row']}, record['description'])
+ if not basis.columns:
+ continue
+ f = len(frames)
+ frames.append({'frame': item['frame'], 'rank': item['rank'], 'cost': price})
+ for row, desc in basis.columns:
+ columns.append((f, row, desc))
+ coords = sorted(set(target) | {i for _, row, _ in columns for i in row})
+ ci = {i: k for k, i in enumerate(coords)}
+ n, nf, nc = len(columns), len(frames), len(coords)
+ rr, cc, vv = [], [], []
+ limit = 32.
+ lower, upper = [float(target.get(i, 0)) for i in coords], [float(target.get(i, 0)) for i in coords]
+ for j, (f, row, _) in enumerate(columns):
+ for i, a in row.items():
+ rr.append(ci[i]); cc.append(j); vv.append(float(a))
+ for sign in (1, -1):
+ rownum = len(lower)
+ rr += [rownum, rownum]; cc += [j, n+f]; vv += [sign, -limit]
+ lower.append(-np.inf); upper.append(0.)
+ rownum = len(lower)
+ for f, item in enumerate(frames):
+ rr.append(rownum); cc.append(n+f); vv.append(item['cost'])
+ lower.append(-np.inf); upper.append(args.maximum_cost)
+ matrix = coo_matrix((vv, (rr, cc)), shape=(len(lower), n+nf)).tocsc()
+ objective = np.array([0.]*n+[float(f['cost']) for f in frames])
+ integrality = np.array([0]*n+[1]*nf)
+ print('MILP', args.mode, n, nf, nc, 'budget',args.maximum_cost,flush=True)
+ result = milp(objective, integrality=integrality,
+ bounds=Bounds([-limit]*n+[0.]*nf, [limit]*n+[1.]*nf),
+ constraints=LinearConstraint(matrix, lower, upper),
+ options={'time_limit': args.seconds, 'mip_rel_gap': .0001})
+ selected = []
+ residual = None
+ recipe = None
+ if result.x is not None:
+ active = {f for f in range(nf) if result.x[n+f] > .5}
+ selected = [frames[f] for f in sorted(active)]
+ basis = Span()
+ for f, row, desc in columns:
+ if f in active:
+ basis.insert(row, desc)
+ rem, rep = basis.solve(target)
+ residual = len(rem)
+ if not rem:
+ recipe = [{'coefficient': str(a), **basis.columns[j][1]} for j, a in rep.items()]
+ out = {'status': 'BOUNDED_COEFFICIENT_NOISY_OBSERVER_MILP', 'mode': args.mode,
+ 'input_sha256': sha256(path.read_bytes()).hexdigest(),
+ 'maximum_lift_rank_cost': args.maximum_cost, 'coefficient_bound': limit,
+ 'continuous_columns': n, 'frame_variables': nf, 'coordinates': nc,
+ 'solver_status': int(result.status), 'solver_message': result.message,
+ 'solver_objective': None if result.fun is None else float(result.fun),
+ 'solver_lower_bound': None if getattr(result, 'mip_dual_bound', None) is None else float(result.mip_dual_bound),
+ 'selected_frames': selected, 'rational_residual_terms': residual,
+ 'rational_recipe': recipe,
+ 'scope': 'Necessary fixed-vector quotient; bounded numerical coefficient search. Rational reconstruction verifies only a selected set in that quotient. A full phase-aware physical repair and every cost remain required.',
+ 'new_kappa_claimed': False, 'elapsed_seconds': time.monotonic()-begin}
+ (HERE/f'evidence/observer-milp-mode{args.mode}-budget{args.maximum_cost}.json').write_text(json.dumps(out, indent=2)+'\n')
+ print(json.dumps({k: v for k, v in out.items() if k != 'rational_recipe'}), flush=True)
+
+
+if __name__ == '__main__':
+ main()
diff --git a/research/filtered-native-kappa004/observer_probe.py b/research/filtered-native-kappa004/observer_probe.py
new file mode 100644
index 0000000000..8ea9811373
--- /dev/null
+++ b/research/filtered-native-kappa004/observer_probe.py
@@ -0,0 +1,172 @@
+#!/usr/bin/env python3
+"""Costed lower-frame observations in the changed, center-free word.
+
+Extends the packet's rank-eight/rank-one observer screen to every rank.
+Uses the necessary K_G |0>=|0> specialization. Any positive is a candidate,
+not a physical recovery proof. Apache-2.0; OpenAI Codex assistance.
+"""
+from collections import Counter, defaultdict
+from fractions import Fraction as Q
+from pathlib import Path
+from hashlib import sha256
+import argparse
+import gzip
+import json
+import sys
+import time
+
+HERE = Path(__file__).resolve().parent
+
+
+def main():
+ ap = argparse.ArgumentParser()
+ ap.add_argument('--packet', type=Path, required=True)
+ args = ap.parse_args()
+ root, start = args.packet, time.monotonic()
+ sys.path[:0] = [str(root/'research/operator_alignment_next'),
+ str(root/'research/retained_state_next')]
+ import augmented_rank1_observers as obs
+ fc = obs.fc
+ path = root/'research/retained_state_next/F9-SOURCE-DAG-ALL8-WORD.json.gz'
+ raw = path.read_bytes()
+ w = json.loads(gzip.decompress(raw))
+ c = w['canonical']
+ rpath = root/'upstream/research/involutory-producer-raw-dual/inputs/R/R.json'
+ R = [[Q(v) for v in row] for row in json.loads(rpath.read_text())]
+ events = [e for e in w['programs']['backward'] if e[0] != 'physical_add']
+ owned = 1+w['owned_extra_slots_by_direction']['backward']
+ rows = [{i: Q(1)} for i in range(632)]+[{} for _ in range(owned)]
+ cur = c['start'][:]+[None]*owned
+ full, seen, contacts = [], defaultdict(set), defaultdict(list)
+ counts = Counter()
+
+ def save(d, pos):
+ f = cur[d]
+ if f is None or not rows[d]:
+ return
+ counts[len(c['frames'][f])] += 1
+ key = tuple(sorted(rows[d].items()))
+ if key in seen[f]:
+ return
+ seen[f].add(key)
+ item = {'owner': d, 'after_event': pos, 'frame': f}, dict(rows[d])
+ if f == 1:
+ full.append(item)
+ else:
+ contacts[f].append(item)
+
+ for d in range(632):
+ save(d, -1)
+ for pos, e in enumerate(events):
+ typ, d = e[0], None
+ if typ == 'scalar':
+ a, f = e[1:]
+ d = a[1][1]+632*(a[1][0] == 'C')
+ if a[0] == 'clear':
+ rows[d], cur[d] = {}, f
+ elif a[0] in ('add', 'copy'):
+ s = a[2][1]+632*(a[2][0] == 'C')
+ assert cur[s] == cur[d] == f
+ rows[d] = dict(rows[s]) if a[0] == 'copy' else fc.add(rows[d], fc.scale(rows[s], Q(a[3], a[4])))
+ else:
+ assert a[0] == 'scale'
+ rows[d] = fc.scale(rows[d], Q(a[2], a[3]))
+ elif typ == 'warp':
+ d = e[1][1]+632*(e[1][0] == 'C')
+ assert cur[d] == e[3]
+ cur[d] = e[4]
+ elif typ == 'climb':
+ d = e[2]
+ assert cur[d] == e[3]
+ cur[d] = e[4]
+ else:
+ assert typ in ('phase', 'adapter')
+ if d is not None:
+ save(d, pos)
+ assert cur[:632] == c['final'] and all(not row for row in rows[632:])
+ # Bind the changed endpoint in this necessary specialization.
+ for i in range(632):
+ expected = {i: Q(1)}
+ if i < 112:
+ expected[i+112] = Q(-1)
+ for r in R:
+ if r[i]:
+ for j, a in enumerate(r):
+ if a:
+ expected[j+112] = expected.get(j+112, Q(0))+r[i]*a/4
+ assert rows[i] == {k: a for k, a in expected.items() if a}
+ print('REPLAY',len(events),'full unique',len(full),'frames',len(contacts),flush=True)
+ sbasis = fc.sparse_basis(full)
+ pivots = [(i, b[0]) for i, b in sorted(sbasis.items())]
+ targets = [obs.reduce_with_pivots({112+i: a for i, a in enumerate(r) if a}, pivots) for r in R]
+ assert len(fc.sparse_basis(list(enumerate(targets)))) == 8
+ print('FULL_BASIS',len(sbasis),'seconds',time.monotonic()-start,flush=True)
+ candidates, per_rank, quotient_spaces = [], defaultdict(list), {}
+ # All original Y values are available at ground on entry. Their eight
+ # R combinations are an explicit basis at lift rank nine; rebuilding a
+ # large ground-frame elimination cannot improve that equal-cost basis.
+ for k, r in enumerate(R):
+ desc = {'frame': 0, 'frame_rank': 0, 'full_lift_rank': 9,
+ 'target_modes': {str(k): '1'},
+ 'gather': [{'owner': 112+i, 'after_event': -1, 'frame': 0,
+ 'coefficient': str(a)} for i, a in enumerate(r) if a]}
+ candidates.append((desc, {k: Q(1)}))
+ per_rank[0].append((desc, {k: Q(1)}))
+ for f, original in sorted(contacts.items()):
+ if f == 0:
+ continue
+ reduced = []
+ keys = set()
+ for desc, row in original:
+ row = obs.reduce_with_pivots(row, pivots)
+ key = tuple(sorted(row.items()))
+ if row and key not in keys:
+ keys.add(key)
+ reduced.append((desc, row))
+ quotient_spaces[f] = reduced
+ _, solutions = obs.intersection(reduced, targets)
+ rank = len(c['frames'][f])
+ for target, recipe in solutions:
+ desc = {'frame': f, 'frame_rank': rank, 'full_lift_rank': 9-rank,
+ 'target_modes': {str(k): str(a) for k, a in target.items()},
+ 'gather': [{**reduced[j][0], 'coefficient': str(a)} for j, a in recipe.items()]}
+ candidates.append((desc, target))
+ per_rank[rank].append((desc, target))
+ if f % 100 == 0:
+ print('FRAME',f,'candidates',len(candidates),'seconds',time.monotonic()-start,flush=True)
+ by_rank = {str(r): {'contact_frames': sum(len(c['frames'][f]) == r for f in contacts),
+ 'candidate_directions': len(data),
+ 'combined_R_mode_rank': len(fc.sparse_basis(data)),
+ 'one_lift_rank_per_direction': 9-r}
+ for r in range(9) for data in [per_rank[r]]}
+ # Equal-rank candidates have identical moment cost. Greedy basis selection
+ # is optimal for this vector-matroid relaxation, including all ranks.
+ chosen, basis = [], []
+ for desc, target in sorted(candidates, key=lambda x: x[0]['full_lift_rank']):
+ if len(fc.sparse_basis(basis+[(desc, target)])) > len(basis):
+ basis.append((desc, target))
+ chosen.append(desc)
+ out = {'status': 'NECESSARY_COSTED_LOWER_FRAME_OBSERVER_SCREEN',
+ 'source_sha256': sha256(raw).hexdigest(), 'R_sha256': sha256(rpath.read_bytes()).hexdigest(),
+ 'all_632_original_amplitudes': True, 'all_408_helpers_retained': True,
+ 'changed_center_free_endpoint_checked': True, 'full_snapshot_augmentation_rank': len(sbasis),
+ 'observed_snapshots_by_frame_rank': dict(sorted(counts.items())),
+ 'all_ranks': by_rank, 'candidate_count': len(candidates),
+ 'minimum_basis_in_individually_clean_lift_family': chosen,
+ 'minimum_individually_clean_lift_rank_mass': sum(x['full_lift_rank'] for x in chosen),
+ 'recovered_mode_dimension': len(chosen),
+ 'scope': 'Necessary fixed-vector quotient of the actual changed word; individually clean same-frame mode gathers at every rank and free full-frame side information. Full lifts are separately paid at rank 9-dim(frame). The 72 mass is optimal only when each new observation individually gives a pure R-mode combination modulo side information. Jointly decoding several noisy observations is outside that bound. A positive still needs exact operator cleanup, phase lowering, chronology and every helper; no kappa is claimed.',
+ 'new_kappa_claimed': False, 'elapsed_seconds': time.monotonic()-start}
+ (HERE/'evidence/observer-probe.json').write_text(json.dumps(out, indent=2)+'\n')
+ subspaces = {'targets': [[[i,str(a)] for i,a in sorted(row.items())] for row in targets],
+ 'frames': [{'frame': f, 'rank': len(c['frames'][f]),
+ 'rows': [{'description': desc, 'row': [[i,str(a)] for i,a in sorted(row.items())]}
+ for desc,row in data]}
+ for f,data in sorted(quotient_spaces.items()) if data]}
+ (HERE/'evidence/observer-subspaces.json.gz').write_bytes(gzip.compress(json.dumps(subspaces,separators=(',',':')).encode(),mtime=0))
+ print(json.dumps({k: out[k] for k in ('status', 'all_ranks', 'candidate_count',
+ 'minimum_individually_clean_lift_rank_mass', 'recovered_mode_dimension', 'elapsed_seconds')}), flush=True)
+
+
+if __name__ == '__main__':
+ main()
diff --git a/research/filtered-native-kappa004/paired_observer_probe.py b/research/filtered-native-kappa004/paired_observer_probe.py
new file mode 100644
index 0000000000..be31d63cf8
--- /dev/null
+++ b/research/filtered-native-kappa004/paired_observer_probe.py
@@ -0,0 +1,125 @@
+#!/usr/bin/env python3
+"""Screen pairs of noisy observations, then recheck every hit rationally.
+
+Observations from different frames may cancel each other's nuisance. This
+is intentionally outside the individually-clean observer bound.
+Apache-2.0; substantial OpenAI Codex assistance.
+"""
+from collections import Counter
+from fractions import Fraction as Q
+from pathlib import Path
+from hashlib import sha256
+import argparse
+import gzip
+import itertools
+import json
+import sys
+import time
+
+HERE = Path(__file__).resolve().parent
+PRIME = 65537
+
+
+def mod(x):
+ x = Q(x)
+ return x.numerator*pow(x.denominator, -1, PRIME) % PRIME
+
+
+def add(a, b, c):
+ for k, x in b.items():
+ z = (a.get(k, 0)+c*x) % PRIME
+ if z:
+ a[k] = z
+ else:
+ a.pop(k, None)
+
+
+def insert(basis, row, tag):
+ row, tag = dict(row), dict(tag)
+ while row:
+ p = min(row)
+ if p not in basis:
+ a = pow(row[p], -1, PRIME)
+ basis[p] = ({k: x*a % PRIME for k, x in row.items()},
+ {k: x*a % PRIME for k, x in tag.items()})
+ return None
+ b, t = basis[p]
+ a = row[p]
+ add(row, b, -a)
+ add(tag, t, -a)
+ return tag
+
+
+def main():
+ ap = argparse.ArgumentParser()
+ ap.add_argument('--packet', type=Path, required=True)
+ ap.add_argument('--maximum-pair-lift-rank', type=int, default=4)
+ args = ap.parse_args()
+ begin = time.monotonic()
+ path = HERE/'evidence/observer-subspaces.json.gz'
+ data = json.loads(gzip.decompress(path.read_bytes()))
+ targets = [{int(i): Q(a) for i, a in row} for row in data['targets']]
+ tb = {}
+ for k, row in enumerate(targets):
+ z = insert(tb, {i: mod(a) for i, a in row.items()}, {k: 1})
+ assert z is None
+ frames = []
+ for item in data['frames']:
+ if 9-item['rank'] >= args.maximum_pair_lift_rank:
+ continue
+ basis = {}
+ original = []
+ for record in item['rows']:
+ original.append((record['description'], {int(i): Q(a) for i, a in record['row']}))
+ row = {int(i): mod(a) for i, a in record['row']}
+ tag = {}
+ for p, (b, t) in sorted(tb.items()):
+ a = row.get(p, 0)
+ if a:
+ add(row, b, -a)
+ add(tag, t, a)
+ relation = insert(basis, row, tag)
+ # A modular rank degeneration can create a spurious clean mode;
+ # record it as a pair hit for rational checking, never a proof.
+ assert not relation, 'Unexpected modular individual-mode direction'
+ if basis:
+ frames.append({**item, 'basis': basis, 'original': original})
+ sys.path[:0] = [str(args.packet/'research/operator_alignment_next'),
+ str(args.packet/'research/retained_state_next')]
+ import augmented_rank1_observers as obs
+ tested, hits, checked = Counter(), [], []
+ for a, b in itertools.combinations(frames, 2):
+ price = 18-a['rank']-b['rank']
+ if price > args.maximum_pair_lift_rank:
+ continue
+ tested[price] += 1
+ basis = dict(a['basis'])
+ found = []
+ for row, tag in b['basis'].values():
+ relation = insert(basis, row, tag)
+ if relation:
+ found.append(relation)
+ if not found:
+ continue
+ hits.append((a['frame'], b['frame']))
+ _, solutions = obs.intersection(a['original']+b['original'], targets)
+ records = []
+ joined = a['original']+b['original']
+ for target, recipe in solutions:
+ records.append({'target_modes': {str(k): str(x) for k, x in target.items()},
+ 'gather': [{**joined[j][0], 'coefficient': str(x)} for j, x in recipe.items()]})
+ checked.append({'frames': [a['frame'], b['frame']], 'pair_lift_rank': price,
+ 'rational_mode_dimension': len(solutions), 'solutions': records})
+ print('PAIR', a['frame'], b['frame'], price, len(solutions), flush=True)
+ out = {'status': 'PAIRED_NOISY_OBSERVATION_SCREEN', 'prime': PRIME,
+ 'input_sha256': sha256(path.read_bytes()).hexdigest(),
+ 'frames': len(frames), 'pairs_tested_by_total_lift_rank': dict(sorted(tested.items())),
+ 'modular_hits': len(hits), 'rational_rechecks': checked,
+ 'scope': 'Fixed-vector augmentation; two same-frame gathers lifted to full, with summed lift rank at most the stated budget. Positive modular hits are rechecked over Q. A negative modular screen is discovery evidence only, not rational infeasibility; a rational positive is still short of the physical operator identity.',
+ 'new_kappa_claimed': False, 'elapsed_seconds': time.monotonic()-begin}
+ (HERE/'evidence/paired-observer-probe.json').write_text(json.dumps(out, indent=2)+'\n')
+ print(json.dumps({k: v for k, v in out.items() if k != 'rational_rechecks'}), flush=True)
+
+
+if __name__ == '__main__':
+ main()
diff --git a/research/filtered-native-kappa004/render_report.py b/research/filtered-native-kappa004/render_report.py
new file mode 100644
index 0000000000..ed44560945
--- /dev/null
+++ b/research/filtered-native-kappa004/render_report.py
@@ -0,0 +1,28 @@
+#!/usr/bin/env python3
+"""Render the research report from README.md and report.css.
+
+Document-only dependency: markdown-it-py. Apache-2.0; OpenAI Codex assistance.
+"""
+from html import escape
+from pathlib import Path
+
+from markdown_it import MarkdownIt
+
+HERE = Path(__file__).resolve().parent
+
+
+def main():
+ source = (HERE/'README.md').read_text()
+ title = source.splitlines()[0].removeprefix('# ')
+ style = (HERE/'report.css').read_text().strip()
+ body = MarkdownIt('default', {'html': False}).render(source)
+ document = ('