arXiv (OAI Expanded)
open access
Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment
We study autonomous mathematical discovery in the Station, an open-world multi-agent environment in which AI agents from different model families pursue a shared research goal without a central coordinator or scripted pipeline. Agents choose their own research directions, conduct experiments, collab
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Lean Pool: An AI-Maintained Archive of Formalized Mathematics#1067530
- Lean Pool: An AI-Maintained Archive of Formalized Mathematics#1051692
- Autonomous Chemical Mechanistic Discovery through Agentic Reasoning and Validation#998699
- Evolving Idea Graphs with Learnable Edits-and-Commits for Multi-Agent Scientific Ideation#1116265
- CrowdMath: A Dataset of Crowdsourced Mathematical Research Discussions#792761
Record · ID 1109133
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive