AAAI Conference 2026 System Paper
RefLens: End-to-End Evidence-Grounded Citation Verification with LLM Agents
- SeungHoo Lee
- JuneHyoung Kwon
- Jooweon Choi
- JungMin Yun
- Seunguk Yu
- Yoonji Lee
- Jinhee Jang
- YoungBin Kim
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).