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When AI reviews science: Can we trust the referee?

cs.AI · 2026-04-26 · unverdicted · novelty 6.0

AI peer review systems are vulnerable to prompt injections, prestige biases, assertion strength effects, and contextual poisoning, as demonstrated by a new attack taxonomy and causal experiments on real conference submissions.

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