mlsanityData to 7 Oct 2026

QED: An Open-Source Multi-Agent System for Generating Mathematical Proofs on Open Problems

arXiv 2604.24021 ↗First posted 27 Apr 2026cs.AI math.APcited by 9

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Abstract (arXiv)

We present QED, an open-source multi-agent system that turns human-provided research questions into complete mathematical proofs without further human guidance. Its pipeline is designed to overcome common failures of single-query proof generation by separating planning, proving, and verification: a decomposition agent structures the proof search, prover agents generate candidate arguments, and verifier agents check correctness. In collaboration with domain experts, we evaluated QED on 18 research-level projects of varying difficulty. QED produced five original works across algebraic geometry, fluid PDEs, probability, and inverse problems. Expert assessments regard these works as solid specialized research contributions, with three comparable in difficulty and scope to work commonly published in established specialist mathematics venues. QED is released at https://github.com/proofQED/QED.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 9 of its 47 references that are in the map. First posted on arXiv 27 Apr 2026.

Builds on

9 of 47 references.

References · 9

  1. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  2. 2021Training Verifiers to Solve Math Word Problemscited by 9,743
  3. 2022Self-Consistency Improves Chain of Thought Reasoning in Language Modelscited by 5,601
  4. 2021Measuring Mathematical Problem Solving With the MATH Datasetcited by 5,203
  5. 2024FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AIcited by 227
  6. 2026Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challengescited by 30
  7. 2024Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Provingcited by 11
  8. 2025ALMAS: an Autonomous LLM-based Multi-Agent Software Engineering Frameworkcited by 4
  9. 2024Next-Token Prediction Task Assumes Optimal Data Ordering for LLM Training in Proof Generationcited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 9.

9 papers.