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Here, to address this bottleneck, we introduce EVENET, an event-level foundation model pretrained on 500\u2009million simulated collision events using self-supervised learning and physics-informed supervision. The model constructs a shared particle-cloud representation from the variable-length set of physics objects in each event. Across searches for heavy resonances and exotic Higgs decays, EVENET outperforms both established and state-of-the-art baselines, particularly in low-statistics regimes. We validate transfer to experimental data by rediscovering the\n                    <jats:italic>\u03d2<\/jats:italic>\n                    meson in CMS Open Data. The pretrained model also supports precise extraction of quantum-correlation observables that remain stable under the tested systematic variations. Together, these results establish a reusable backbone for diverse collider analyses, improving downstream adaptation after a substantial one-time pretraining investment.\n                  <\/jats:p>","DOI":"10.1038\/s42256-026-01322-9","type":"journal-article","created":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T10:03:02Z","timestamp":1793268182000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Foundation model for particle collision data analysis"],"prefix":"10.1038","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1876-2188","authenticated-orcid":false,"given":"Ting-Hsiang","family":"Hsu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9810-0020","authenticated-orcid":false,"given":"Baihong","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5248-4391","authenticated-orcid":false,"given":"Qibin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9563-4804","authenticated-orcid":false,"given":"Yue","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7879-3272","authenticated-orcid":false,"given":"Shu","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4260-5118","authenticated-orcid":false,"given":"George Wei-Shu","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1024-0932","authenticated-orcid":false,"given":"Benjamin","family":"Nachman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6214-8500","authenticated-orcid":false,"given":"Shih-Chieh","family":"Hsu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1579-2421","authenticated-orcid":false,"given":"Vinicius","family":"Mikuni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2204-5731","authenticated-orcid":false,"given":"Yuan-Tang","family":"Chou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6274-7714","authenticated-orcid":false,"given":"Yulei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,10,29]]},"reference":[{"key":"1322_CR1","doi-asserted-by":"crossref","unstructured":"Devlin, J., Chang, M.-W., Lee, K. & Toutanova, K. 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