Update Integrity Standard

Any system that learns from its own outcomes—scientific communities, institutions, minds, algorithms—depends on an update loop: outcomes produce records, and records modify future constraints. This standard identifies the structural conditions under which that loop remains corrigible (update integrity) and names the common failure modes that break it: record falsification, pseudo-redundancy, constraint freezing, selective update rules, coercive agreement, discriminator-free coherence, and identity binding. For each failure mode, a corresponding repair protocol and diagnostic indicator are specified. This version specifies measurement proxies for corrigibility, signal-state protocols for neutrality and commitment (referencing the S₁–S₃ stabilization family), an Empirical Ledger template for per-domain tracking, and a Minimal Implementation appendix specifying measurement thresholds. UIS is a companion to *The Structuralization of Empiricism* (Jones, 2026b), which introduces the recursive kernel and stabilization signatures that UIS operationalizes, and to *Records Across Nature, Life, and Mind* (Jones, 2026a), which defines the persistence layer UIS protects.

**Keywords: **update integrity; corrigibility; record discipline; redundancy audit; discriminators; reporting standards; research integrity; philosophy of science