ReCite: Agentic Reasoning for Faithful Citation
Accurate citations are the foundation of academic writing, tracing intellectual origins and substantiating core claims. However, manually navigating the growing volume of scientific literature is increasingly difficult, prompting reliance on automatic citation recommendation. While modern retrieval-augmented architectures have largely mitigated the fabrication of non-existent p
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Accurate citations are the foundation of academic writing, tracing intellectual origins and substantiating core claims. However, manually navigating the growing volume of scientific literature is increasingly difficult, prompting reliance on automatic citation recommendation. While modern retrieval-augmented architectures have largely mitigated the fabrication of non-existent p
This paper addresses a critical limitation in current RAG systems by moving beyond simple semantic similarity to incorporate claim-level reasoning for citation, which is crucial for building more reliable and trustworthy AI applications. ML engineers will need to understand how to design and implement agentic frameworks that can perform complex reasoning tasks beyond basic retrieval.