arXiv (All)
open access
ProofLoom: Proof-Obligation-Driven Theory Construction for Autoformalizing Research-Level Stochastic Optimization
Formalizing research-level stochastic optimization in Lean requires both an algorithm model and domain theory connecting foundational libraries to convergence proofs. Revising a model to restore provability can change the mathematical claim. We introduce ProofLoom, a fully automated LLM-agent system
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
- Schwarz: Solver-Aware Agentic Program Verification#818849
- Schwarz: Solver-Aware Agentic Program Verification#808857
- Cogentic: Multi-Agent Orchestration for Automated Proof Discovery#1154584
- Cogentic: Multi-Agent Orchestration for Automated Proof Discovery#1136858
- Proof2Hybrid: Automatic Mathematical Benchmark Synthesis for Proof-Centric Problems#792648
Record · ID 1129567
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