{"paper":{"title":"Toward decision-aware AI for LSST-scale time-domain astronomy","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.HE","hep-ph"],"primary_cat":"astro-ph.IM","authors_text":"A. Gomboc, A. I. Malz, A. Mahabal, A. Melandri, A. Sasli, A. Tramuto, B. Fraga, C. R. Bom, F. Bianco, F. Fontinele Nunes, F. Ragosta, F. Z. Majidi, M. C. Rom\\~ao, M. J. Vyas, M. Rabus, M. W. Coughlin, N. Hernitschek, N. Sarin, O. Razim, P. Darc, R. Bonito, Rubin LSST Transients, S. Chaini, S. Dillmann, S. Piranomonte, Variable Stars Science Collaboration, V. A. Sre\\'ckovi\\'c, V. Petrecca, V. Vuj\\v{c}i\\'c, X. Li","submitted_at":"2026-06-03T18:00:03Z","abstract_excerpt":"The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will generate approximately (10^7) alerts per night, pushing time-domain astronomy beyond pipelines that treat discovery as a static labeling problem. We argue that LSST is better understood as a partially observed dynamical environment, in which scientific return depends on the quality of follow-up decisions made under uncertainty and finite observational resources. The central challenge is therefore to maintain evolving, uncertainty-aware representations of astrophysical sources and to select actions that maximize long-te"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05285","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.05285/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}