arXiv (All)
open access
Codoku: Renewable Program-Reasoning Challenges for Frontier Coding Agents
Existing program-reasoning benchmarks ask large language models to predict a program's behavior on a given input. Coding agents break two assumptions on which these benchmarks rest: an agent can recover the answer by executing the program instead of reasoning about it, and fixed task sets drawn from
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
- microsoft/rStar-Coder#786726
- Codoku: Renewable Program-Reasoning Challenges for Frontier Coding Agents#1108832
- MAGS: Multi-agent Auto-formalization Guarantees Safety for Agentic Outputs#1013986
- MAGS: Multi-agent Auto-formalization Guarantees Safety for Agentic Outputs#978375
- Towards Certificate-Driven Software Porting: A Self-Improving Agentic Harness for Scientific Program Optimization#1119142
Record · ID 1128920
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