Stage 4 — AI Harmony Checks: Internal Coherence Validation (v0.7)
Abstract
Comprehensive technical documentation of Stage 4 of the 11-Stage AI Visibility Lifecycle. Covers how AI systems evaluate internal coherence and self-consistency of digital entities through content and infrastructure consistency checks. Details error rate stability, cache consistency, origin health metrics, signal redundancy validation, and the coherence conditions that determine whether AI systems proceed with external cross-correlation. Part of the AI Visibility Architecture (AIVA) framework documentation.
Fields of Study & Subjects
Ethics and Social Impacts of AI
Data Quality and Management
Software System Performance and Reliability
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 7 February 2026
- Language
- EN