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Single vision foundation models inevitably overfit to deepfake artifacts, but dynamically arbitrating between CLIP's semantics and DINO's structural features via prediction entropy delivers state-of-the-art generalization across unseen generators.
A multi-agent forensic reasoning framework outperforms leading closed-source models in deepfake detection by leveraging diverse analytical perspectives on forgery cues.