Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment
This article provides metadata and access links for a research paper titled 'Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment.' The paper explores the use of multi-agent systems for mathematical research.
Why it matters
Advancements in autonomous mathematical discovery could significantly accelerate scientific research and the development of complex problem-solving AI.
Focus to learn more arXiv-issued DOI via DataCite Submission history From: Stephen Chung [ view email ] [v1] Mon, 24 Aug 2026 18:00:03 UTC (1,585 KB) Full-text links: Access Paper: View a PDF of the paper titled Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment, by Stephen Chung and 2 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.AI < prev | next > new | recent | 2026-08 Change to browse by: cs cs.DM cs.MA References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations?
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