AI RESEARCH
Citation-Closure Retrieval and Per-Rule Attribution for Real-World Regulatory Compliance Question Answering
arXiv CS.AI
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ArXi:2605.29742v1 Announce Type: new Deploying Large Language Models (LLMs) for regulatory compliance demands rigorous traceability via comprehensive citations across multi-tiered authority structures. Unlike traditional multi-hop or legal QA, this task requires structured procedural lookups and evidence-set closure rather than entity resolution or case-law reasoning. Existing RAG systems struggle here due to flattened citation edges, fragmented retrieval expansions, and fragile post-hoc attribution.