No-Meta Intelligence Under Ontology Drift: Information-Theoretic Limits and Operational Laws for Persistent Semantics

This work develops a theorem-scoped boundary theory for long-horizon semantic persistence under ontology drift in adaptive systems operating in a no-meta regime, i.e., without a continuously privileged external evaluator. The framework combines information theory, geometric modeling on manifolds, and operational design constraints. On the converse side, it identifies conditions under which persistence is fundamentally impossible: when effective information growth remains subcritical, tube-conditioned semantic success decays polynomially, yielding finite viability horizons for nontrivial targets. On the constructive side, it provides quantitative phase boundaries for transported consensus+innovation recovery…