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Reliable automated research requires agents to vet data, verify analyses, and generate hypotheses grounded in trustworthy evidence, potentially reducing routine scientific workload while allowing scientists to focus on interpretation and discovery. Existing benchmarks often only assess analytical task completion or hyp...
FACT (Forensic Agent with Compiled Tool-use Trajectories), which learns an image-conditioned tool-use policy for forensic analysis, achieves the best performance among all compared methods, including on recent unseen generators, deepfakes, and manipulated images.
It is found that predictive fit can diverge from scientific validity, memorization shapes whether models reproduce or move beyond published formulas, and the best-of-N study reveals a selection bottleneck.
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