{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:3NBT6HY4IIHWAS2Z2CZ5P64GDO","short_pith_number":"pith:3NBT6HY4","schema_version":"1.0","canonical_sha256":"db433f1f1c420f604b59d0b3d7fb861bbc0b4aa942a9b724fcb3145fc215be68","source":{"kind":"arxiv","id":"2405.14559","version":1},"attestation_state":"computed","paper":{"title":"HemSeg-200: A Voxel-Annotated Dataset for Intracerebral Hemorrhages Segmentation in Brain CT Scans","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"An Gao, Changwei Song, Guanghui Fu, Jianqiang Li, Qing Zhao, Ruoyun Gao, Xin Yue, Zhaoxuan Wang","submitted_at":"2024-05-23T13:38:34Z","abstract_excerpt":"Acute intracerebral hemorrhage is a life-threatening condition that demands immediate medical intervention. Intraparenchymal hemorrhage (IPH) and intraventricular hemorrhage (IVH) are critical subtypes of this condition. Clinically, when such hemorrhages are suspected, immediate CT scanning is essential to assess the extent of the bleeding and to facilitate the formulation of a targeted treatment plan. While current research in deep learning has largely focused on qualitative analyses, such as identifying subtypes of cerebral hemorrhages, there remains a significant gap in quantitative analysi"},"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":"2405.14559","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2024-05-23T13:38:34Z","cross_cats_sorted":[],"title_canon_sha256":"31aa3f74e6e23d0ddc085d4d445c971a2fba5979cf67d6ef52be4dbbe4b3476f","abstract_canon_sha256":"168713881604e91024d28603ffeb276d7da371e19df9e34bbaa57d119c49da60"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:22:25.174190Z","signature_b64":"a5qMh6DxE1DD3D3bEVUT6WhfzVsN4Zz2KxwMVTCD6xr9SNrJ1a2YS6dEjZDOlLUV4tdZdvM8Rm1qaRTnhsGTBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db433f1f1c420f604b59d0b3d7fb861bbc0b4aa942a9b724fcb3145fc215be68","last_reissued_at":"2026-07-05T08:22:25.173687Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:22:25.173687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HemSeg-200: A Voxel-Annotated Dataset for Intracerebral Hemorrhages Segmentation in Brain CT Scans","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"An Gao, Changwei Song, Guanghui Fu, Jianqiang Li, Qing Zhao, Ruoyun Gao, Xin Yue, Zhaoxuan Wang","submitted_at":"2024-05-23T13:38:34Z","abstract_excerpt":"Acute intracerebral hemorrhage is a life-threatening condition that demands immediate medical intervention. Intraparenchymal hemorrhage (IPH) and intraventricular hemorrhage (IVH) are critical subtypes of this condition. Clinically, when such hemorrhages are suspected, immediate CT scanning is essential to assess the extent of the bleeding and to facilitate the formulation of a targeted treatment plan. While current research in deep learning has largely focused on qualitative analyses, such as identifying subtypes of cerebral hemorrhages, there remains a significant gap in quantitative analysi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14559","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/2405.14559/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":"2405.14559","created_at":"2026-07-05T08:22:25.173739+00:00"},{"alias_kind":"arxiv_version","alias_value":"2405.14559v1","created_at":"2026-07-05T08:22:25.173739+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14559","created_at":"2026-07-05T08:22:25.173739+00:00"},{"alias_kind":"pith_short_12","alias_value":"3NBT6HY4IIHW","created_at":"2026-07-05T08:22:25.173739+00:00"},{"alias_kind":"pith_short_16","alias_value":"3NBT6HY4IIHWAS2Z","created_at":"2026-07-05T08:22:25.173739+00:00"},{"alias_kind":"pith_short_8","alias_value":"3NBT6HY4","created_at":"2026-07-05T08:22:25.173739+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/3NBT6HY4IIHWAS2Z2CZ5P64GDO","json":"https://pith.science/pith/3NBT6HY4IIHWAS2Z2CZ5P64GDO.json","graph_json":"https://pith.science/api/pith-number/3NBT6HY4IIHWAS2Z2CZ5P64GDO/graph.json","events_json":"https://pith.science/api/pith-number/3NBT6HY4IIHWAS2Z2CZ5P64GDO/events.json","paper":"https://pith.science/paper/3NBT6HY4"},"agent_actions":{"view_html":"https://pith.science/pith/3NBT6HY4IIHWAS2Z2CZ5P64GDO","download_json":"https://pith.science/pith/3NBT6HY4IIHWAS2Z2CZ5P64GDO.json","view_paper":"https://pith.science/paper/3NBT6HY4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2405.14559&json=true","fetch_graph":"https://pith.science/api/pith-number/3NBT6HY4IIHWAS2Z2CZ5P64GDO/graph.json","fetch_events":"https://pith.science/api/pith-number/3NBT6HY4IIHWAS2Z2CZ5P64GDO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3NBT6HY4IIHWAS2Z2CZ5P64GDO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3NBT6HY4IIHWAS2Z2CZ5P64GDO/action/storage_attestation","attest_author":"https://pith.science/pith/3NBT6HY4IIHWAS2Z2CZ5P64GDO/action/author_attestation","sign_citation":"https://pith.science/pith/3NBT6HY4IIHWAS2Z2CZ5P64GDO/action/citation_signature","submit_replication":"https://pith.science/pith/3NBT6HY4IIHWAS2Z2CZ5P64GDO/action/replication_record"}},"created_at":"2026-07-05T08:22:25.173739+00:00","updated_at":"2026-07-05T08:22:25.173739+00:00"}