[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-sigma-beats-top-math-ai-by-74-using-multi-agent-search":10,"sections":34},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},1777,"sigma-beats-top-math-ai-by-74-using-multi-agent-search","SIGMA Beats Top Math AI by 7.4% Using Multi-Agent Search","A new framework routes math problems through specialized agents that each search independently, then merges their findings to outperform leading models.","A research framework called SIGMA is outperforming both open- and closed-source AI systems on hard math benchmarks by spreading reasoning across multiple agents instead of relying on one.\n\nCurrent retrieval-augmented models typically pull in outside knowledge from a single angle and follow rigid search strategies — a design that breaks down on problems requiring synthesis across sources. SIGMA takes a different approach: it spins up specialized agents that each reason independently, generate hypothetical passages to sharpen their retrieval, and then feed findings to a moderator that reconciles the results. Tested on MATH500, AIME, and the PhD-level science benchmark GPQA, the framework posted a 7.4 percentage-point absolute improvement over prior systems.\n\nThat margin matters because AIME and GPQA are not toy datasets — they are the benchmarks labs reach for precisely when they want to argue a model can do serious technical work. A 7.4-point gain across all three is hard to explain away as benchmark cherry-picking. It also signals that the bottleneck in math AI is less raw model size and more how a system finds and combines relevant knowledge mid-reasoning.\n\nThe code is not yet public, promised only \"upon publication\" — so treat the numbers as peer-review-pending until independent teams can replicate them.","[\"ai\",\"math reasoning\",\"multi-agent\",\"research\"]","2026-06-19T04:00:00.000Z","2026-06-19T11:41:34.352Z","2026-06-19T14:22:19.064Z","published",null,[],"ai",[24,26,27,28],"math reasoning","multi-agent","research",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2510.27568",0,{"sections":35},[36,40,44,49,54,59,64,68,72,77,82,87,92,97],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",491,"2026-06-19T14:59:11.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":18},"Security","security",132,{"name":45,"slug":46,"count":47,"latest_published_at":48},"Policy","policy",88,"2026-06-16T09:26:09.000Z",{"name":50,"slug":51,"count":52,"latest_published_at":53},"Consumer Tech","consumer-tech",78,"2026-06-16T17:58:24.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":58},"Hardware","hardware",62,"2026-06-18T15:24:16.000Z",{"name":60,"slug":61,"count":62,"latest_published_at":63},"Deals","deals",58,"2026-06-19T14:43:50.000Z",{"name":65,"slug":66,"count":62,"latest_published_at":67},"Software","software","2026-06-16T20:00:00.000Z",{"name":69,"slug":70,"count":71,"latest_published_at":18},"Dev Tools","dev-tools",50,{"name":73,"slug":74,"count":75,"latest_published_at":76},"Science","science",38,"2026-06-18T04:00:00.000Z",{"name":78,"slug":79,"count":80,"latest_published_at":81},"Gaming","gaming",31,"2026-06-16T15:25:13.000Z",{"name":83,"slug":84,"count":85,"latest_published_at":86},"General","general",26,"2026-06-13T18:35:15.000Z",{"name":88,"slug":89,"count":90,"latest_published_at":91},"Startups","startups",23,"2026-06-16T15:00:00.000Z",{"name":93,"slug":94,"count":95,"latest_published_at":96},"Reviews","reviews",19,"2026-06-14T08:00:00.000Z",{"name":98,"slug":99,"count":100,"latest_published_at":101},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]