{"paper":{"title":"Data libraries as a collaborative tool across Monte Carlo codes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"physics.comp-ph","authors_text":"(2) State University Rio de Janeiro, (3) Hanyang University, (4) Technische Universit\\\"at Darmstadt, (5) INFN Sezione di Genova, (6) INFN Laboratori Nazionali di Frascati, (7) MPE, (8) University of California at Berkeley), Andreas Zoglauer (8) ((1) CNES, Chan-Hyeung Kim (3), Georg Eidenspointner (7), Hee Seo (3), Lina Quintieri (6), Manju Sudhakar (5), Marcia Begalli (2), Maria Grazia Pia (5), Markus Kuster (4), Mauro Augelli (1), Mincheol Han (3), MPI Halbleiterlabor, Paolo Saracco (5), Steffen Hauf (4)","submitted_at":"2010-12-03T10:50:11Z","abstract_excerpt":"The role of data libraries in Monte Carlo simulation is discussed. A number of data libraries currently in preparation are reviewed; their data are critically examined with respect to the state-of-the-art in the respective fields. Extensive tests with respect to experimental data have been performed for the validation of their content."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1012.0697","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":""},"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"}