Who Pays for Open Review? Visible Author Reputation and Its Effect on Ratings

Title:Who Pays for Open Review? Visible Author Reputation and Its Effect on Ratings

Abstract:An OpenReview bug in November 2025 broke anonymity at several conferences and prompted calls for open review, which motivate us to ask what shifting from blind to open would mean for authors. Analyzing over 18,000 reviewed submissions to ICLR 2026, split into de facto open and blind groups by arXiv preprint timing, we find that ratings rise with author reputation under both mechanisms, with a steeper slope under open review that is statistically significant, and that the open-blind difference is concentrated at the borderline ratings. The pattern holds across five reputation proxies (including institution, h-index, and citation count), three author-aggregation rules, and five definitions of the open window. A controlled simulation with five AI models as reviewers, holding the manuscript fixed and varying the author reputation, reproduces the effect. With claude-opus-5 as the reviewer, for example, rating rises by 0.5 points as the author moves from low to high reputation.

Digital Libraries (cs.DL); Artificial Intelligence (cs.AI)

arXiv:2609.11983 [cs.DL]

(or arXiv:2609.11983v1 [cs.DL] for this version)

https://doi.org/10.48550/arXiv.2609.11983 Focus to learn more arXiv-issued DOI via DataCite

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