arXiv (OAI Expanded)
open access
Stellar Colosseum: A Many-Agent Harness for Long-Horizon Research in Mathematics and Theoretical Computer Science
Language models can produce plausible short proofs, but may still be unreliable on long-horizon research problems, where progress depends on a sequence of uncertain and interdependent decisions. We introduce Stellar Colosseum, a model-agnostic harness for allocating inference across research in math
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
- Loom: Weaving Diagnostic Strands into Free-Text Consensus via Embedding-Space Reweighting#924797
- Loom: Weaving Diagnostic Strands into Free-Text Consensus via Embedding-Space Reweighting#920563
- DeepRewind: Predicting and Repairing Premature Commitments in Deep Research Agents#1131186
- Global Artificial Intelligence (GAI): Artificial Research By Deduction in SAIs#109689
- Avoiding reification: Heuristic effectiveness of mathematics and the prediction of the omega minus particle#736474
Record · ID 1123281
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