RefLens: End-to-End Evidence-Grounded Citation Verification with LLM Agents

Accurate citation is critical, yet error rates remain high across scientific literature. We present RefLens, an end-to-end system that automates citation verification from PDF parsing to interactive report generation. Unlike summary- or embedding-based approaches, RefLens performs evidence-grounded verification by extracting verbatim spans from original sources and displaying citation-level cards and a paper-level dashboard. In a 35-participant study, users rated value (M=4.34), trust (M=4.15), and usability (M=4.19) highly, with strong adoption intention (M=4.28).

Authors

• SeungHoo Lee Chung-Ang University
• JuneHyoung Kwon Chung-Ang University
• Jooweon Choi Chung-Ang University
• JungMin Yun Chung-Ang University
• Seunguk Yu Chung-Ang University
• Yoonji Lee Chung-Ang University
• Jinhee Jang
• YoungBin Kim Chung-Ang University

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