Towards Automating Scientific Review with Google's Paper Assistant Tool

The volume of scientific papers being published is growing faster than human reviewers can keep pace with — a crisis accelerated by AI-assisted research generation. This paper proposes a taxonomy of AI-human collaboration levels in peer review, then introduces PAT (Paper Assistant Tool), an agentic system that reads full manuscripts and produces structured evaluations, including checks of mathematical proofs and experimental validity. In pilot deployments at STOC and ICML, PAT caught real errors before submission. Broader applications include pre-submission screening tools for journals, institutional research quality checks, and helping junior researchers self-audit their work before seeking expert review. Authors: Rajesh Jayaram, Drew Tyler, David Woodruff, Corinna Cortes, Yossi Matias, Vahab Mirrokni, Vincent Cohen-Addad Paper: https://arxiv.org/abs/2606.28277v1