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Historical execution traces can autonomously rewire agent skill dependencies and rewrite retrieval descriptions, boosting task rewards by 7 points while cutting context tokens by a third without any model fine-tuning.
Agentic hybrid RAG outperforms existing methods in retrieving and synthesizing evidence for muon collider research, setting a new standard for scientific question answering in high-energy physics.
