English

A Quantale-Weakness Route to $P \neq NP$ via CD Evidence Normalization and Gauge-Buffered Locked Ensembles

Computational Complexity 2026-04-24 v2 Artificial Intelligence

Abstract

We present a proof architecture for PNPP \neq NP based on an upper--lower clash in polytime-capped conditional description length. We construct an efficiently samplable family of SAT instances YY such that every satisfying witness for YY yields the same global message M(Y)M(Y). If P=NPP=NP, then a standard polynomial-time SAT self-reduction recovers M(Y)M(Y) from YY, so Kpoly(M(Y)Y)=O(1). K_{\mathrm{poly}}(M(Y)\mid Y)=O(1). The lower-bound side shows the opposite. For the same ensemble, no fixed polynomial-time observer can gain substantial predictive advantage on a linear number of selected message coordinates. The argument treats computation as an evidence-producing process: predictive advantage is converted into constructible-dual evidence skew and then into pairwise distinctions between message-opposite worlds. A normalization theorem shows that every target-relevant non-neutral evidence leaf is either a safe-buffer observation or a hidden-gauge observation. Safe-buffer observations have negligible leakage, while hidden-gauge observations are limited by gauge-rank accounting. This yields an atomic evidence budget implying that total message-resolving advantage is o(t)o(t) across tt selected coordinates. Boundary-law mixing gives the near-random baseline for the visible surface. Combining this with the evidence budget gives product small-success and then, by Compression-from-Success, Kpoly(M(Y)Y)Ω(t) K_{\mathrm{poly}}(M(Y)\mid Y)\ge \Omega(t) with high probability. This contradicts the constant upper bound from P=NPP=NP. Therefore PNPP \neq NP.

Keywords

Cite

@article{arxiv.2510.08814,
  title  = {A Quantale-Weakness Route to $P \neq NP$ via CD Evidence Normalization and Gauge-Buffered Locked Ensembles},
  author = {Ben Goertzel},
  journal= {arXiv preprint arXiv:2510.08814},
  year   = {2026}
}