{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:S6FH6DNCXU4JFG4EKOGLPIJN7E","short_pith_number":"pith:S6FH6DNC","schema_version":"1.0","canonical_sha256":"978a7f0da2bd38929b84538cb7a12df9047f568a628918de3529b1de9843367f","source":{"kind":"arxiv","id":"1905.02406","version":1},"attestation_state":"computed","paper":{"title":"One-class classification with application to forensic analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.ST","stat.TH"],"primary_cat":"stat.AP","authors_text":"Angela Montanari, Francesca Fortunato, Laura Anderlucci","submitted_at":"2019-05-07T08:41:37Z","abstract_excerpt":"The analysis of broken glass is forensically important to reconstruct the events of a criminal act. In particular, the comparison between the glass fragments found on a suspect (recovered cases) and those collected on the crime scene (control cases) may help the police to correctly identify the offender(s). The forensic issue can be framed as a one-class classification problem. One-class classification is a recently emerging and special classification task, where only one class is fully known (the so-called target class), while information on the others is completely missing. We propose to con"},"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":"1905.02406","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-05-07T08:41:37Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"d1116d80d8cbf58bb5f0b22713b9eab7612ce7740189c5cea9eb0bbd31ad8124","abstract_canon_sha256":"d84361aa3be4b50001598847e279b5868602b2f73b4cabb0d6332de0a7c8af2d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:46:51.554638Z","signature_b64":"TljrjbunuWtsVRrgNxWIUEcAyH98MG5sdBcsyJOyeOkyqgmQ0y9yUlZ9Tb8kuQE80PDovQqBbXjktb8VDz7MBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"978a7f0da2bd38929b84538cb7a12df9047f568a628918de3529b1de9843367f","last_reissued_at":"2026-05-17T23:46:51.553868Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:46:51.553868Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"One-class classification with application to forensic analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.ST","stat.TH"],"primary_cat":"stat.AP","authors_text":"Angela Montanari, Francesca Fortunato, Laura Anderlucci","submitted_at":"2019-05-07T08:41:37Z","abstract_excerpt":"The analysis of broken glass is forensically important to reconstruct the events of a criminal act. In particular, the comparison between the glass fragments found on a suspect (recovered cases) and those collected on the crime scene (control cases) may help the police to correctly identify the offender(s). The forensic issue can be framed as a one-class classification problem. One-class classification is a recently emerging and special classification task, where only one class is fully known (the so-called target class), while information on the others is completely missing. We propose to con"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.02406","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1905.02406","created_at":"2026-05-17T23:46:51.554004+00:00"},{"alias_kind":"arxiv_version","alias_value":"1905.02406v1","created_at":"2026-05-17T23:46:51.554004+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.02406","created_at":"2026-05-17T23:46:51.554004+00:00"},{"alias_kind":"pith_short_12","alias_value":"S6FH6DNCXU4J","created_at":"2026-05-18T12:33:27.125529+00:00"},{"alias_kind":"pith_short_16","alias_value":"S6FH6DNCXU4JFG4E","created_at":"2026-05-18T12:33:27.125529+00:00"},{"alias_kind":"pith_short_8","alias_value":"S6FH6DNC","created_at":"2026-05-18T12:33:27.125529+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/S6FH6DNCXU4JFG4EKOGLPIJN7E","json":"https://pith.science/pith/S6FH6DNCXU4JFG4EKOGLPIJN7E.json","graph_json":"https://pith.science/api/pith-number/S6FH6DNCXU4JFG4EKOGLPIJN7E/graph.json","events_json":"https://pith.science/api/pith-number/S6FH6DNCXU4JFG4EKOGLPIJN7E/events.json","paper":"https://pith.science/paper/S6FH6DNC"},"agent_actions":{"view_html":"https://pith.science/pith/S6FH6DNCXU4JFG4EKOGLPIJN7E","download_json":"https://pith.science/pith/S6FH6DNCXU4JFG4EKOGLPIJN7E.json","view_paper":"https://pith.science/paper/S6FH6DNC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1905.02406&json=true","fetch_graph":"https://pith.science/api/pith-number/S6FH6DNCXU4JFG4EKOGLPIJN7E/graph.json","fetch_events":"https://pith.science/api/pith-number/S6FH6DNCXU4JFG4EKOGLPIJN7E/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/S6FH6DNCXU4JFG4EKOGLPIJN7E/action/timestamp_anchor","attest_storage":"https://pith.science/pith/S6FH6DNCXU4JFG4EKOGLPIJN7E/action/storage_attestation","attest_author":"https://pith.science/pith/S6FH6DNCXU4JFG4EKOGLPIJN7E/action/author_attestation","sign_citation":"https://pith.science/pith/S6FH6DNCXU4JFG4EKOGLPIJN7E/action/citation_signature","submit_replication":"https://pith.science/pith/S6FH6DNCXU4JFG4EKOGLPIJN7E/action/replication_record"}},"created_at":"2026-05-17T23:46:51.554004+00:00","updated_at":"2026-05-17T23:46:51.554004+00:00"}