{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UHYS2CQ52IMKWOW2GRZZOJP23K","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":"444e47a4f096d578cb4001980f00122f442edb552699a961cfba7ed95e06ead6","cross_cats_sorted":["cs.AI","cs.DB"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2026-03-02T18:12:02Z","title_canon_sha256":"ee963593f5249ac8c0d9526bec4e51a5923db63d974257acd34596dff03d63a7"},"schema_version":"1.0","source":{"id":"2603.02150","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.02150","created_at":"2026-07-09T01:19:52Z"},{"alias_kind":"arxiv_version","alias_value":"2603.02150v2","created_at":"2026-07-09T01:19:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.02150","created_at":"2026-07-09T01:19:52Z"},{"alias_kind":"pith_short_12","alias_value":"UHYS2CQ52IMK","created_at":"2026-07-09T01:19:52Z"},{"alias_kind":"pith_short_16","alias_value":"UHYS2CQ52IMKWOW2","created_at":"2026-07-09T01:19:52Z"},{"alias_kind":"pith_short_8","alias_value":"UHYS2CQ5","created_at":"2026-07-09T01:19:52Z"}],"graph_snapshots":[{"event_id":"sha256:bcddc370141cc3f2a51f0b937e80518eb2aecb7f3a609f086e9ccbefa2328985","target":"graph","created_at":"2026-07-09T01:19:52Z","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/2603.02150/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The extraction of critical information from crime-related documents is a crucial task for law enforcement agencies. The extraction of this information can be interpreted as a Named-Entity Recognition (NER) task. However, there is a considerable lack of adequately annotated data on general real-world crime scenarios. To address this issue, we present CrimeNER, a case study of crime-related NER, and a general crime-related Named-Entity Recognition database (CrimeNER-db), consisting of more than 1.5K annotated documents extracted from public reports of terrorist attacks and the US Department of J","authors_text":"Alvaro Ortigosa, Aythami Morales, Daniel DeAlcala, Francisco Jurado, Gonzalo Mancera, Javier Irigoyen, Julian Fierrez, Miguel Lopez-Duran, Oscar Delgado, Ruben Tolosana","cross_cats":["cs.AI","cs.DB"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2026-03-02T18:12:02Z","title":"Named-Entity Recognition in the Crime Domain (CrimeNER): Case Study and Dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.02150","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":"sha256:06f6d54efbeb06308ccd47b040dea7cab8ff34384b6b91ced2a132b87e25fa93","target":"record","created_at":"2026-07-09T01:19:52Z","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":"444e47a4f096d578cb4001980f00122f442edb552699a961cfba7ed95e06ead6","cross_cats_sorted":["cs.AI","cs.DB"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2026-03-02T18:12:02Z","title_canon_sha256":"ee963593f5249ac8c0d9526bec4e51a5923db63d974257acd34596dff03d63a7"},"schema_version":"1.0","source":{"id":"2603.02150","kind":"arxiv","version":2}},"canonical_sha256":"a1f12d0a1dd218ab3ada34739725fada990d3cf834582865a000406edd69f10b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1f12d0a1dd218ab3ada34739725fada990d3cf834582865a000406edd69f10b","first_computed_at":"2026-07-09T01:19:52.311739Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-09T01:19:52.311739Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vsvcB12CJMBoDWQNQtNzac0lqrMmAzwIrOgQh5gjXJGYD60sZFs8QVxa+6q0vOt5QCaGAAzpga7JfufzMeuNAA==","signature_status":"signed_v1","signed_at":"2026-07-09T01:19:52.312308Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.02150","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:06f6d54efbeb06308ccd47b040dea7cab8ff34384b6b91ced2a132b87e25fa93","sha256:bcddc370141cc3f2a51f0b937e80518eb2aecb7f3a609f086e9ccbefa2328985"],"state_sha256":"3acd1e9fb5b5e3a74c155d992a4b9517a8737d213fae74bc27f9239f1c77ffa7"}