AI RESEARCH
REVEAL: Reference-Grounded Reasoning for Multimodal Manipulation Detection
arXiv CS.CV
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ArXi:2605.28459v1 Announce Type: new Multimodal manipulation detection aims to simultaneously identify forged image--text pairs and localize tampered regions, yet existing methods typically rely on memorizing isolated artifacts and struggle with imperceptible manipulation traces or domain shifts. Inspired by human comparative reasoning, we reformulate this task as a reference-grounded verification problem, where authenticity is assessed by comparing a query against retrieved authentic evidence.