{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HVTCKUHKZ74VGDWWS77HCZUP4D","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"56d1d7d74d6d69330b89b5b0544c8afafab4429276b4e9da957d5b60f8e89b7f","cross_cats_sorted":["cs.LG","hep-ex","nucl-ex","nucl-th"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2025-02-27T16:28:39Z","title_canon_sha256":"754abb859141cd733c07bcbc7a8c5567578b38489c5c96ee186fec7d89b2a843"},"schema_version":"1.0","source":{"id":"2502.20244","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.20244","created_at":"2026-07-05T11:28:14Z"},{"alias_kind":"arxiv_version","alias_value":"2502.20244v2","created_at":"2026-07-05T11:28:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.20244","created_at":"2026-07-05T11:28:14Z"},{"alias_kind":"pith_short_12","alias_value":"HVTCKUHKZ74V","created_at":"2026-07-05T11:28:14Z"},{"alias_kind":"pith_short_16","alias_value":"HVTCKUHKZ74VGDWW","created_at":"2026-07-05T11:28:14Z"},{"alias_kind":"pith_short_8","alias_value":"HVTCKUHK","created_at":"2026-07-05T11:28:14Z"}],"graph_snapshots":[{"event_id":"sha256:97c6517bf12753da13293b5c2e887ff0e62600f49f6be01c39970d590e5b4d0f","target":"graph","created_at":"2026-07-05T11:28:14Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2502.20244/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a new approach to simulate neutrino scattering events as an alternative to the standard Monte Carlo generator approach. Generative adversarial neural network (GAN) models are developed to simulate charged current neutrino-carbon collisions in the few-GeV energy range. We consider a simplified framework to generate muon kinematic variables, specifically its energy and scattering angle. GAN models are trained on simulation data from \\nuwro{} Monte Carlo event generator. Two GAN models have been obtained: one simulating quasielastic neutrino-nucleus scatterings and another simulating a","authors_text":"Artur M. Ankowski, Beata E. Kowal, Hemant Prasad, Jan T. Sobczyk, Jose L. Bonilla, Krzysztof M. Graczyk, Rwik Dharmapal Banerjee","cross_cats":["cs.LG","hep-ex","nucl-ex","nucl-th"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2025-02-27T16:28:39Z","title":"Generative adversarial neural networks for simulating neutrino interactions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.20244","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:c48623a93acd79984f73270b13fab72de1b0c53cfa956ca08e29780baeb38efe","target":"record","created_at":"2026-07-05T11:28:14Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"56d1d7d74d6d69330b89b5b0544c8afafab4429276b4e9da957d5b60f8e89b7f","cross_cats_sorted":["cs.LG","hep-ex","nucl-ex","nucl-th"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ph","submitted_at":"2025-02-27T16:28:39Z","title_canon_sha256":"754abb859141cd733c07bcbc7a8c5567578b38489c5c96ee186fec7d89b2a843"},"schema_version":"1.0","source":{"id":"2502.20244","kind":"arxiv","version":2}},"canonical_sha256":"3d662550eacff9530ed697fe71668fe0e6e7fc3190deaacc1c19da7f20574080","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3d662550eacff9530ed697fe71668fe0e6e7fc3190deaacc1c19da7f20574080","first_computed_at":"2026-07-05T11:28:14.632264Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:28:14.632264Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R2NFXUL50SUolpqJQMnTB+RXDHdIVqtMT1pAh80WVQL9mnKuQPd6nuMY1jZAWT7Myk/2GGudZQk+pPqVLJE3Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T11:28:14.632811Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.20244","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c48623a93acd79984f73270b13fab72de1b0c53cfa956ca08e29780baeb38efe","sha256:97c6517bf12753da13293b5c2e887ff0e62600f49f6be01c39970d590e5b4d0f"],"state_sha256":"4e1bbd20238f54ec7a532671b4266ca5c46a1a102f7bb6e0412789c49b2a1154"}