它展示了一种新颖的“先写论文再验证”方法，通过LaTeX宏和自动审计强制执行诚实性，并在由11位专家评审的研讨会上获得第一名（1万美元OpenAI积分），且所有人工制品（除README外）均由AI生成。
By Woomin Song and Byungjun Yoon, Team WooandB (KAIST · ALIN Lab, advised by Prof. Jinwoo Shin) 🙏
This repository is the harness, tooling, and complete run record behind that winning entry: a hackathon where agents produce a research paper end to end, with only light high-level human guidance. The papers were judged in ICML workshop format by a panel of 11 expert reviewers, and ours took first.
Every file in this repository except this README was written by the AI scientists themselves: the plan, the experiment code, the decision ledger, the integrity tooling, and the paper. This README is the only human-curated document here; everything else is the artifact.
"The paper is true because the system was built to make untruth expensive." — the experiment agent's closing reflection, ralph/DECISIONS.md
This is not a framework to install. It is the run itself — secrets redacted, everything else exactly as the agents left it:
Multi-agent harness + complete run record of the 1st-place entry at Ralphthon@ICML2026 — three AI agents wrote a workshop paper in 3 hours
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