[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-preprint-claims-big-speedups-for-dnf-model-counting-algorithm":10,"sections":41},{"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":30,"tags":31,"sources":36,"feedback":40,"feedback_at":22,"cost_usd":40,"total_tokens":40},6457,"preprint-claims-big-speedups-for-dnf-model-counting-algorithm","Preprint Claims Big Speedups for DNF Model Counting Algorithm","A new arXiv preprint claims a Monte Carlo algorithm that speeds up approximate DNF model counting by orders of magnitude, pending peer review.","A new algorithm claims dramatic speedups for counting solutions to DNF formulas, a problem behind probabilistic databases and network-reliability checks.\n\nAccording to a preprint posted to arXiv (arXiv:2601.10511), the authors describe a Monte Carlo counting method that adds an adaptive stopping rule and short-circuit formula evaluation to cut unnecessary work. The paper proves the approach meets Probably Approximately Correct, or PAC, bounds, and argues it is asymptotically faster than earlier techniques, including the 1989 Karp-Luby-Madras algorithm, 2023 hashing-based methods from Soos and colleagues, and a 2020 neural-network heuristic from Abboud, Ceylan, and Lukasiewicz. In experiments described in the paper, the authors report their method outperforming those prior algorithms by orders of magnitude and scaling to problems with millions of variables. As a preprint, the paper has not been through peer review, and the speedup and PAC-bound claims are the authors' own reported results rather than independently verified facts.\n\nDNF model counting sits behind unglamorous but load-bearing infrastructure: probabilistic databases that estimate how likely a query result is to be correct, and reliability estimates for networks. If the claimed gains hold up under outside scrutiny, they could make those queries tractable at scales - millions of variables - that previously demanded heavy approximation or simply weren't attempted.\n\nExact DNF counting is NP-hard, so the field has spent three decades stacking approximation tricks on top of Karp and Luby's original 1989 scheme; this paper bets that adaptive stopping and formula short-circuiting are the next useful layer, not a replacement for the whole stack.","[\"algorithms\",\"model-counting\",\"probabilistic-inference\",\"arxiv-preprint\"]","2026-09-16T04:00:00.000Z","2026-09-17T17:33:53.745Z","2026-09-17T17:34:05.663Z","published",null,[24],{"id":25,"reviewer":26,"round":27,"reason":28,"status":29},"editor-r1","editor",1,"Attribute the claims explicitly to the source (arXiv:2601.10511, noting it's a preprint) instead of vague unnamed 'researchers'\u002F'the team' framing, and clarify that the speedup and PAC-bound claims are the authors' own reported results rather than independently verified facts.","resolved","science",[32,33,34,35],"algorithms","model-counting","probabilistic-inference","arxiv-preprint",[37],{"name":38,"url":39},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2601.10511",0,{"sections":42},[43,48,53,58,63,67,70,75,80,84,89,94,99,104],{"name":44,"slug":45,"count":46,"latest_published_at":47},"AI","ai",3852,"2026-09-17T08:27:09.000Z",{"name":49,"slug":50,"count":51,"latest_published_at":52},"Security","security",648,"2026-09-17T04:00:00.000Z",{"name":54,"slug":55,"count":56,"latest_published_at":57},"Policy","policy",338,"2026-09-11T04:00:00.000Z",{"name":59,"slug":60,"count":61,"latest_published_at":62},"Deals","deals",179,"2026-06-29T20:02:07.000Z",{"name":64,"slug":65,"count":66,"latest_published_at":52},"Hardware","hardware",154,{"name":68,"slug":30,"count":69,"latest_published_at":52},"Science",114,{"name":71,"slug":72,"count":73,"latest_published_at":74},"Consumer Tech","consumer-tech",99,"2026-09-09T17:27:33.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Software","software",75,"2026-09-10T20:41:21.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":52},"Dev Tools","dev-tools",73,{"name":85,"slug":86,"count":87,"latest_published_at":88},"Startups","startups",55,"2026-09-09T23:14:29.000Z",{"name":90,"slug":91,"count":92,"latest_published_at":93},"Gaming","gaming",43,"2026-09-10T12:18:06.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"General","general",41,"2026-09-08T01:57:23.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"Reviews","reviews",20,"2026-06-24T12:00:01.000Z",{"name":105,"slug":106,"count":107,"latest_published_at":108},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]