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HyCE-RAG is a novel hypergraph-based retrieval-augmented generation framework for multi-hop question answering that constructs explicit evidence chains via confidence-aware heuristic search, outperforming standard RAG and graph-based RAG methods in accuracy, relevance, and faithfulness.
ScientistOne introduces Chain-of-Evidence, a verifiability framework for autonomous research agents that ensures every claim is traceable to evidence, achieving zero hallucinated references, perfect score verification, and the highest method-code alignment across 75 papers while matching or exceeding human expert performance on frontier research tasks.