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When a scientific paper cites a source that does not exist, the problem is no longer just academic sloppiness but a break in the trust chain that can reach clinical decision-making.
Top AI modelsā accuracy plunges from 85.8% to 61.6% when tested on M2-Verifyās high-complexity scientific claimsāa gap that exposes multimodal reasoning as brittle.