SciLens: Multi-modal Scientific Claim Verification with Agentic Entailment and Grounding

arXiv:2606.20873v1 Announce Type: new Abstract: Scientific discovery increasingly relies on automated systems that generate hypotheses, inspect multimodal evidence, and validate claims at scale. Yet scientific claim verification is not well served by asking a vision-language model for a direct binary judgment: claims often combine numerical results, comparisons, scope qualifiers, and explanatory context, while evidence is encoded in tables and figures with distinct grounding structures. We prese...