AI RESEARCH
Cited but Not Verified: Parsing and Evaluating Source Attribution in LLM Deep Research Agents
arXiv CS.CL
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ArXi:2605.06635v1 Announce Type: new Large language models (LLMs) power deep research agents that synthesize information from hundreds of web sources into cited reports, yet these citations cannot be reliably verified. Current approaches either trust models to self-cite accurately, risking bias, or employ retrieval-augmented generation (RAG) that does not validate source accessibility, relevance, or factual consistency. We