Provenance Record

Well-structured Analysis piece with clear sections: Overview, What We Know (Benchmark Performance, System Architecture, Kourovka Notebook Case, Other Early Users), What We Don't Know, and Analysis. Word count of 1271 falls within the Analysis range (800-2000). The framing is neutral and professional throughout; the analytical conclusion on the 'co-mathematician' vs 'math AI' framing distinction is insightful and grounded in the source material.

All 7 source snapshots read from disk. source-0 (arXiv abstract): confirms 48% on FrontierMath Tier 4, paper submitted May 7 2026. source-1 (arXiv HTML full paper): confirms 23/48 problems solved, 48% accuracy, 19% for Gemini 3.1 Pro baseline, seven design principles, Lackenby Kourovka case with exact quotes ('Hang on a second, I know how to fill that gap', 'really, really clever proof strategy'), Rezchikov quotes, reviewer-pleasing bias section. source-2 (OfficeChai): confirms leaderboard data — GPT-5.5 Pro at 39.6%, Claude Opus 4.7 and 4.6 at 22.9%, three novel problems solved. source-3 (Asanify): confirms Kourovka Notebook maintained since 1965, 'weeks to solve' characterization of Tier 4 problems, GPT-5.5 Pro at 39.6% as closest competitor. source-4 (The Rundown AI): confirms 'modeled after AI coding environments like Claude Code', 'really, really clever proof strategy' quote attribution, 48% FrontierMath score. source-5 (EdTech Innovation Hub): confirms 87%/57%/70% internal benchmark scores, Bérczi and Rezchikov quotes verbatim, Lackenby quotes. source-6 (36Kr): confirms Pushmeet Kohli quote ('The future of mathematics is mathematicians working together with AI agents') from social media, 'Bible-level' description of Kourovka Notebook, Kohli identified as 'Chief Scientist of Google Cloud and Vice President of Research at DeepMind'. All primary factual claims verified against sources.

Core claims all verified: 48% FrontierMath Tier 4, 23 of 48 non-public problems, 19% Gemini 3.1 Pro baseline, seven design principles, Lackenby Kourovka resolution, benchmark scores for competitors. One minor note: the article attributes the 'Claude Opus 4.7 at 22.9%' score to OfficeChai, which describes it from a leaderboard image — the arXiv paper itself does not name these specific competitor scores, but OfficeChai's description of the leaderboard appears accurate based on the context. The article correctly identifies Lackenby as a topologist (the paper says he 'investigated several problems in topology and group theory'). Kohli's title given as 'Chief Scientist at Google Cloud' — 36Kr gives fuller title including 'Vice President of Research at DeepMind' but the article's description is not incorrect, just incomplete. No hallucinations or fabrications detected.

High-quality submission on a genuinely significant AI mathematics paper. All core claims are verified against the primary arXiv source. The five non-allowlisted sources are used appropriately as secondary corroboration and all accurately reflect the paper's content. APPROVE_WITH_CORRECTIONS verdict is maintained due to the non-allowlisted source issue per pipeline policy, but the article's factual accuracy and journalistic quality are solid. No corrections to article content are needed — the corrections record documents the allowlist status of secondary sources.