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Cross-column routing, changing representations and approximate consumers sit outside many existing native-control obstructions. This contribution gives a usable finite-memory physical endpoint contract: a fixed transfer table either has an exact certificate for every positive width or a literal counterexample at bounded width. It also proves exponential transfer-dimension requirements for two routing families, including operator-norm approximation.
The proof and research guide develop the scope, constructions and follow-ups. This is a scoped written theorem with author-checked exact tools, awaiting independent mathematical review. The automata and matrix-product foundations are classical; no new general equivalence algorithm, global literature priority, paid-query minimum or κ is claimed.
Result
Let a complete residual endpoint have entries
with fixed$D$ -state transitions and boundaries, including every independent input and required dirty return. Then it vanishes at all positive widths iff it vanishes at every width $1,\ldots,D$ . A $D$ -cycle first fails exactly at width $D$ , so the bound is sharp. The proof refines it to $D-r_1+1$ when the positive seed space has rank $r_1\gt 0$ .
The tool avoids constructing those tensor matrices. It emits a finite invariant-row certificate
Alternatively, it emits a physical input/output column, role pair and exact nonzero discrepancy. A separately transcribed checker performs only exact equations or literal witness replay; it imports no producer or elimination code.
Significance for researchers
This opens a verifiable class of changed column interfaces and closes bounded-transfer-state searches for specific nonlocal routing demands. A proposal can yield either a complete all-width certificate, a concrete semantic defect, or a finite cut-rank obstruction before expensive physical synthesis. For #5419's changed consumers and #5427's observation questions, the next task becomes precise: extract the actual physical tables with source versions and returns. This package has not supplied a missing observation or decided those callers.
Risks and tradeoffs
Nearest overlapping work
Classical inputs retain credit to weighted-automata equivalence, Tzeng's algorithm and the matrix-product/automata correspondence. Cut-rank and projection-error arguments are also classical. The new contribution is this concrete repository contract, source-bound frontend and explicit enabling/exclusion boundaries.
Validation
python3 -B research/finite-memory-lifting/verify.py python3 -O -B research/finite-memory-lifting/verify.py python3 -B research/finite-memory-lifting/audit_mutations.py python3 -B research/finite-memory-lifting/verify.py --source-root .RESULT.json, VALIDATION.json and MUTATIONS.json retain the outputs and actual environment. SOURCES.json pins seven canonical provenance files at$\kappa=0.003027288235$ . OVERLAP.json states bounded coverage, including its historical/local limitations.
32890bc, priority revision 7; selected conditionalNo full 112-owner/17-axis provider, selected cold replay, physical cross-column implementation, generic replay registration, Lean, Docker or hosted CI run is claimed. Universal conclusions rest on the written proof.
Credit
Retain zxv's register-certificate bridge, Krzysztof Wójt's inverse frontend, Ali Romman's bit bounds, Jose Manuel's native recipe implementation, and the full retained native/phase/compiler/source lineage. New prose and code are Apache-2.0 with substantial OpenAI Codex assistance. No independent human or proof-kernel acceptance is claimed.
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