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inaciovasquez2020 / overlap-rigidity-counterexamples

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Unified Capacity–Locality Problem (UCLP): a formal decision framework for bounded locality, information capacity, and progress accounting in polynomial-time computation. Includes the canonical CutStrings benchmark and URF-ADMISSIBLE criteria.

information-theory locality benchmarks theoretical-computer-science computational-complexity complexity-theory foundations-of-computation unified-rigidity-framework entropy-depth capacity-locality urf-admissible cutstrings
  • Updated Feb 17, 2026
  • Python

inaciovasquez2020 / overlap-rigidity-lean

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Unified Capacity–Locality Problem (UCLP): a decision framework for bounded locality, bounded information injection, and valid progress accounting in polynomial-time computation. Includes the canonical CutStrings benchmark and URF-ADMISSIBLE predicate.

information-theory locality benchmarks computational-complexity complexity-theory foundations-of-computation unified-rigidity-framework entropy-depth capacity-locality urf-admissible cutstrings
  • Updated Feb 17, 2026
  • Lean

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