{"artifact":{"id":"art-mass-rsi-paper-261012176","dedupe_key":"3c938a3da4d451bf68f81888832958c80b9b0d0dddc5f87984b24cc3d5c52869","canonical_url":"https://arxiv.org/abs/2610.12176","evidence_locator":"","artifact_type":"research_preprint","title":"Recursive Self-Improvement through Multi-Agent Self-Supervision","summary":"October 8, 2026 preprint by UC Berkeley and Sakana AI researchers. Two bounded recursive iterations of workflow optimization and fine-tuning with Qwen3.6-27B occupying executor, optimizer and evaluator roles.","creator_entities":["Hyunin Lee","Jinglue Xu","Jeffrey Seely","Donghyun Lee","Somayeh Sojoudi","Matei Zaharia","Yujin Tang"],"released_at":"2026-10-08T15:44:02.000Z","content_hash":null,"metadata":{"evidence_locator":"arXiv:2610.12176 v1 (39 pages)","uncertainty":"Preprint, author-reported experimental results and LLM-judge evaluation; no independent replication."},"created_at":"2026-10-11T20:05:23.448Z","updated_at":"2026-10-11T20:05:23.448Z"},"sources":[{"id":"src-arxiv-mass-rsi-20261008","dedupe_key":"3f3202446ff1ff90b967eaab734849aa3f71471de60daaf60e8e69c356a5c2a4","name":"Recursive Self-Improvement through Multi-Agent Self-Supervision","publisher":"arXiv","url":"https://arxiv.org/abs/2610.12176","evidence_locator":"","source_type":"primary_research_preprint","primary_or_secondary":"primary","retrieved_at":"2026-10-11T19:57:57.000Z","published_at":"2026-10-08T15:44:02.000Z","author":null,"metadata":{"evidence_locator":"arXiv 2610.12176 v1, abstract and researcher paper; source author-reported not independently replicated"},"created_at":"2026-10-11T20:05:23.447Z","updated_at":"2026-10-11T20:05:23.447Z"}]}