{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:JWMKXDIQET2A54WQRJO2LRZMH5","short_pith_number":"pith:JWMKXDIQ","schema_version":"1.0","canonical_sha256":"4d98ab8d1024f40ef2d08a5da5c72c3f62a2c23b5b76821951f25fd375d84442","source":{"kind":"arxiv","id":"2502.07643","version":1},"attestation_state":"computed","paper":{"title":"To clean or not to clean? Influence of pixel removal on event reconstruction using deep learning in CTAO","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Justine Talpaert, Thomas Vuillaume, Tom Fran\\c{c}ois","submitted_at":"2025-02-11T15:33:40Z","abstract_excerpt":"The Cherenkov Telescope Array Observatory (CTAO) is the next generation of ground-based observatories employing the imaging air Cherenkov technique for the study of very high energy gamma rays. The software Gammalearn proposes to apply Deep Learning as a part of the CTAO data analysis to reconstruct event parameters directly from images captured by the telescopes with minimal pre-processing to maximize the information conserved. In CTAO, the data analysis will include a data volume reduction that will definitely remove pixels. This step is necessary for data transfer and storage but could also"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2502.07643","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2025-02-11T15:33:40Z","cross_cats_sorted":[],"title_canon_sha256":"cea83d57dc8d2f63ea6bf54bd008a25419c182161efe5ca227ad2a72119a1e81","abstract_canon_sha256":"9a13946aebf68b10150eaa0491b8e62553c7e2b9d6b49915c33f86fcf4c957f4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:12:40.478569Z","signature_b64":"sejtVtW7R6Tqockh3m9NX3AQc15+wu8gutjRh6pLK3QG+uPmMuUc6wL7gpX66yfg7/PYFQDqLgVJ8A+bA3MICg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4d98ab8d1024f40ef2d08a5da5c72c3f62a2c23b5b76821951f25fd375d84442","last_reissued_at":"2026-07-05T10:12:40.475546Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:12:40.475546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"To clean or not to clean? Influence of pixel removal on event reconstruction using deep learning in CTAO","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Justine Talpaert, Thomas Vuillaume, Tom Fran\\c{c}ois","submitted_at":"2025-02-11T15:33:40Z","abstract_excerpt":"The Cherenkov Telescope Array Observatory (CTAO) is the next generation of ground-based observatories employing the imaging air Cherenkov technique for the study of very high energy gamma rays. The software Gammalearn proposes to apply Deep Learning as a part of the CTAO data analysis to reconstruct event parameters directly from images captured by the telescopes with minimal pre-processing to maximize the information conserved. In CTAO, the data analysis will include a data volume reduction that will definitely remove pixels. This step is necessary for data transfer and storage but could also"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.07643","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/2502.07643/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2502.07643","created_at":"2026-07-05T10:12:40.475690+00:00"},{"alias_kind":"arxiv_version","alias_value":"2502.07643v1","created_at":"2026-07-05T10:12:40.475690+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.07643","created_at":"2026-07-05T10:12:40.475690+00:00"},{"alias_kind":"pith_short_12","alias_value":"JWMKXDIQET2A","created_at":"2026-07-05T10:12:40.475690+00:00"},{"alias_kind":"pith_short_16","alias_value":"JWMKXDIQET2A54WQ","created_at":"2026-07-05T10:12:40.475690+00:00"},{"alias_kind":"pith_short_8","alias_value":"JWMKXDIQ","created_at":"2026-07-05T10:12:40.475690+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/JWMKXDIQET2A54WQRJO2LRZMH5","json":"https://pith.science/pith/JWMKXDIQET2A54WQRJO2LRZMH5.json","graph_json":"https://pith.science/api/pith-number/JWMKXDIQET2A54WQRJO2LRZMH5/graph.json","events_json":"https://pith.science/api/pith-number/JWMKXDIQET2A54WQRJO2LRZMH5/events.json","paper":"https://pith.science/paper/JWMKXDIQ"},"agent_actions":{"view_html":"https://pith.science/pith/JWMKXDIQET2A54WQRJO2LRZMH5","download_json":"https://pith.science/pith/JWMKXDIQET2A54WQRJO2LRZMH5.json","view_paper":"https://pith.science/paper/JWMKXDIQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2502.07643&json=true","fetch_graph":"https://pith.science/api/pith-number/JWMKXDIQET2A54WQRJO2LRZMH5/graph.json","fetch_events":"https://pith.science/api/pith-number/JWMKXDIQET2A54WQRJO2LRZMH5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/JWMKXDIQET2A54WQRJO2LRZMH5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/JWMKXDIQET2A54WQRJO2LRZMH5/action/storage_attestation","attest_author":"https://pith.science/pith/JWMKXDIQET2A54WQRJO2LRZMH5/action/author_attestation","sign_citation":"https://pith.science/pith/JWMKXDIQET2A54WQRJO2LRZMH5/action/citation_signature","submit_replication":"https://pith.science/pith/JWMKXDIQET2A54WQRJO2LRZMH5/action/replication_record"}},"created_at":"2026-07-05T10:12:40.475690+00:00","updated_at":"2026-07-05T10:12:40.475690+00:00"}