ReCite: Agentic Reasoning for Faithful Citation
ReCite is an agentic citation framework using claim-level reasoning and verification, outperforming large generative models in strict citation accuracy.
ReCite is a decoupled agentic framework that orchestrates location perception, intent-aware query planning, and reflective verification for citation recommendation. Trained on synthesized reasoning trajectories, the agent verifies claim-evidence consistency and triggers self-correction loops when retrieved candidates lack logical support. Experiments show the lightweight framework outperforms state-of-the-art massive generative models in strict citation accuracy, addressing misattribution where cited papers are real but logically unsupportive.
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