{"schemaVersion":1,"target":{"type":"reading","id":"2b137be2537aecc849a0988576616890024bbdb3f1b9cf59cad9f5330b1f4a95","revision":"0e43e346-429c-47b1-8e91-1e3883940077","revisionKind":"publication-id","title":"Byonggon Chun: A Case Study of a Multi-Agent Kernel-Optimization Loop That Learns a New AI Accelerator","url":"https://escapemeridian.com/readings/byonggon-chun-a-case-study-of-a-multi-agent-kernel-optimization-2b137be2"},"source":{"type":"source","id":"https://arxiv.org/abs/2610.38329","revision":"d1ce653c76d3c0293ab8a36bec9e50e3d46351dcfe6f8dd948257ffb854ab0f5","revisionKind":"sha256-source-text","title":"A Case Study of a Multi-Agent Kernel-Optimization Loop That Learns a New AI Accelerator","url":"https://arxiv.org/abs/2610.38329"},"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."}