PhyVer: Physics-Grounded Material Claim Verification with Multi-Fidelity Physical Evidence

Material claims in papers, patents, etc., often involve physical feasibility (e.g., stability under conditions, property consistency), not just textual feasibility. Yet most claim verifiers operate over language, therefore producing ungrounded judgments. On the other hand, direct first-principles verification (e.g., density functional theory, DFT) is inflexible and hard to invoke from underspecified free-form claims. Therefore, we introduce PhyVer, a physics-grounded material claim verification system that bridges this gap by translating claims into multi-fidelity physical evidence and interpretable verdicts. To support human-in-the-loop inspection, we present an interactive web interface that visualizes the instantiated structure, optimization trajectories, DFT summaries, and the final decision. On expert-labeled claims, PhyVer improves agreement with experts over text-only GPT-5.1, reducing MAE from 1.54 to 1.20 and Signed MAE from 0.95 to 0.82, and increasing Accuracy@±1 from 50% to 70%.

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