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AI Proof Watch and IMProofBench

Research-math benchmark. A benchmark for testing whether AI systems can produce rigorous proofs for research-level mathematics problems.

About IMProofBench

Measures model performance on a private, regularly updated set of mathematical problems.

Key differences

Compare each service by the same aspect.

AspectAI Proof WatchIMProofBench
Subject coverageMathematics, theoretical computer science, and theoretical physics.Mathematics.
Main purposeCurate reported contributions and make claims, sources, and evidence easier to inspect; list linked human follow-up works.Measures model performance on a private, regularly updated set of mathematical problems.
Assessment methodFour independent ratings cover AI involvement, technical verification, human understanding, and importance. Importance assumes the claim is correct; it is not a verification score.Expert mathematicians grade solutions on a 0–3 scale; a score of 3 means a complete solution. The project also describes machine-checkable subproblems.
Email updatesWeekly updates across all topics, or selected-interest alerts that are daily by default and sent only when there is an update.The leaderboard says the private problem set is regularly updated. We found no email subscription on the reviewed pages.

When to use each

Use IMProofBench to compare model proof-generation performance on a controlled, contamination-resistant problem set.

By comparison, AI Proof Watch follows contributions reported in research sources across three fields. It records the claim and source context rather than scoring model attempts on a private benchmark, and its four ratings separate contribution, verification, understanding, and importance.

Sources

Feature comparison checked 20 October 2026. Public pages may change.

See all comparisons · AI Proof Watch methodology