# Paper: Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis

---
type: paper
title: Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis
authors: Ruobing Jiang, Dawei Fu, Cheng Jiang, Tianyi Yang, Zijian Wang, Youpeng Wu, Yong Ban, Yajun Mao, et al.
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2606.10381
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-06-09
updated_at: 2026-06-09
status: queued
relevance: high
topics:
  - agent-evaluation
  - rag
  - reasoning
  - tool-use
  - workflow-agent
methods:
  -
benchmarks:
  -
models:
  -
datasets:
  - hep-ex
  - cs.AI
  - cs.CL
  - cs.IR
  - physics.ins-det
related_concepts:
  -
related_jobs:
  -
related_experiments:
  -
related_projects:
  -
collection_score: 15
collection_queries: rag-agent
---

## One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

## Why Collected

- matched queries: rag-agent
- inferred topics: agent-evaluation, rag, reasoning, tool-use, workflow-agent
- arXiv categories: hep-ex, cs.AI, cs.CL, cs.IR, physics.ins-det
- collection score: 15

## Review Checklist

- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from `queued` to `skimmed` or `summarized`?

## Links

- arXiv: https://arxiv.org/abs/2606.10381