Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis
Muon collider research spans accelerator physics, detector instrumentation, and high-energy phenomenology, with relevant evidence scattered across a rapidly expanding and heterogeneous body of scientific literature. As high-energy physics (HEP) increasingly explores agent-assisted analysis workflows, efficiently locating, integrating, and verifying scientific evidence becomes an essential capability. While retrieval-augmented generation (RAG) offers a promising framework for scientific question answering, integrating agentic reasoning without compromising retrieval precision remains a key challenge. In this work, we present agentic hybrid RAG, an evidence-grounded RAG framework for muon c...
| Authors | Ruobing Jiang, Dawei Fu, Cheng Jiang et al. |
|---|---|
| Primary category | hep-ex |
| Published | 9 June 2026 |
| Last updated at source | 28 September 2026 |
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