A large-scale study using PaperTrajectory-2026, the 2026 release of the PaperTrajectory dataset covering 6,959 paper trajectories, investigates whether AI reviewers' judgments reflect the improvements authors make through manuscript revision. The research question is whether AI reviewers can detect revision-driven quality gains, an open issue as AI reviewers are increasingly used to assess scientific manuscripts.
AI reviewers are increasingly used to assess scientific manuscripts, yet it remains unclear whether their judgments reflect the improvements authors make through revision. We investigate this question using PaperTrajectory-2026, the 2026 release of PaperTrajectory, a dataset of 6,959 paper trajector
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