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AI CURATED HOT STORY · 10/14/2026

Traceability of OpenAI's 722 AI-Generated Math Papers Reveals Reliance on 11k Human Works and Fields Medalists

1 reports archived1 independent sourcesupdated 10/14/2026, 19:49:00
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A team from Aalborg University launched the 'On Whose Shoulders' project to systematically trace citations in 722 AI-generated math and CS papers released by OpenAI. The analysis reveals that these AI outputs rely heavily on 11,067 human works spanning five centuries and contributions from ~9,600 scientists, including 114 top-tier award winners. This study underscores that current superintelligence acts as a knowledge integrator rather than an independent creator, highlighting the critical role of foundational human theory in enabling AI breakthroughs.

LATEST/A team from Aalborg University launched the 'On Whose Shoulders' project to systematically trace citations in 722 AI-generated math and CS papers released by OpenAI. The analysis reveals that these AI outputs rely heavily on 11,067 human works spanning five centuries and contributions from ~9,600 scientists, including 114 top-tier award winners. This study underscores that current superintelligence acts as a knowledge integrator rather than an independent creator, highlighting the critical role of foundational human theory in enabling AI breakthroughs.

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  1. 新智元 (微信公众号)T2·68 pts
    • Traceability of 722 OpenAI-generated math papers confirms they are built entirely on existing human theoretical frameworks, with no proofs created 'from scratch'.
    • The AI references span 11,067 human works and ~9,600 scientists, including 114 recipients of Fields, Abel, or Wolf Prizes.
    • Case studies show AI directly employs advanced human mathematical tools like the Fargues-Scholze correspondence and Talagrand's cavity method in geometry and probability.
Traceability of OpenAI's 722 AI-Generated Math Papers Reveals Reliance on 11k Human Works and Fields Medalists | Today for AI