{"schemaVersion":1,"target":{"type":"reading","id":"5b9cd3a83efb1f694f3b9fa923009f91ab13add1d55bbc420e60b23955c85b12","revision":"8a04c7a2-33cd-4ac5-8037-b97a42988486","revisionKind":"publication-id","title":"arXiv cs.AI: Ren and Ahn propose layered evaluation for deployed agents","url":"https://escapemeridian.com/readings/arxiv-cs-ai-ren-and-ahn-propose-layered-evaluation-for-deployed-5b9cd3a8"},"source":{"type":"source","id":"https://arxiv.org/abs/2611.07051","revision":"f3cf19afa909d4afeaf2cc84f2522a07ca59af080f45d3ddc896915ffe89ad2e","revisionKind":"sha256-source-text","title":"Closed-Loop Agent Evaluation: Layered Measurement and Self-Calibration","url":"https://arxiv.org/abs/2611.07051"},"status":"available","items":[],"next":null,"scope":"Explicit citations in public readings and public file attachments to this reading. Shared topics are not citations. Other artifact types need an explicit reference adapter."}