{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:3NRL5KCXTVVLQSE6CX4VQHI2F7","short_pith_number":"pith:3NRL5KCX","schema_version":"1.0","canonical_sha256":"db62bea8579d6ab8489e15f9581d1a2fe56e8d0b449e18869392a568e2a64fdf","source":{"kind":"arxiv","id":"1801.08616","version":1},"attestation_state":"computed","paper":{"title":"DeepPap: Deep Convolutional Networks for Cervical Cell Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Isabella Nogues, Jianhua Yao, Le Lu, Ling Zhang, Ronald M. Summers, Shaoxiong Liu","submitted_at":"2018-01-25T22:12:29Z","abstract_excerpt":"Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a highly effective cell imaging based cancer detection tool, where cells are partitioned into \"abnormal\" and \"normal\" categories. However, the success of most traditional classification methods relies on the presence of accurate cell segmentations. Despite sixty years of research in this field, accurate segmentation remains a challenge in the presence of cell clusters and pathologies. Moreover, previous classification methods are only built upon the extraction of hand-crafted features, such as morphology and"},"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":"1801.08616","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-25T22:12:29Z","cross_cats_sorted":[],"title_canon_sha256":"2472b79718fa024ac5ff13e99d492bfdbd998c0cf0df493fc8ffc6d4d913c3ed","abstract_canon_sha256":"7757fa07eea39c9796510b646fa9a688a5db8456a60b306d44dfc2689db57ea2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:25:03.436398Z","signature_b64":"/UceroKUzYejZKVIODb38SBK6P/bbkltWC9qXaAvqErS78IU6+fD2oIvKdCU2XAmNLo1dcuP1F2uAPX34X3sAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"db62bea8579d6ab8489e15f9581d1a2fe56e8d0b449e18869392a568e2a64fdf","last_reissued_at":"2026-05-18T00:25:03.436022Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:25:03.436022Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DeepPap: Deep Convolutional Networks for Cervical Cell Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Isabella Nogues, Jianhua Yao, Le Lu, Ling Zhang, Ronald M. Summers, Shaoxiong Liu","submitted_at":"2018-01-25T22:12:29Z","abstract_excerpt":"Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a highly effective cell imaging based cancer detection tool, where cells are partitioned into \"abnormal\" and \"normal\" categories. However, the success of most traditional classification methods relies on the presence of accurate cell segmentations. Despite sixty years of research in this field, accurate segmentation remains a challenge in the presence of cell clusters and pathologies. Moreover, previous classification methods are only built upon the extraction of hand-crafted features, such as morphology and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.08616","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":"1801.08616","created_at":"2026-05-18T00:25:03.436079+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.08616v1","created_at":"2026-05-18T00:25:03.436079+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.08616","created_at":"2026-05-18T00:25:03.436079+00:00"},{"alias_kind":"pith_short_12","alias_value":"3NRL5KCXTVVL","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_16","alias_value":"3NRL5KCXTVVLQSE6","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_8","alias_value":"3NRL5KCX","created_at":"2026-05-18T12:32:02.567920+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/3NRL5KCXTVVLQSE6CX4VQHI2F7","json":"https://pith.science/pith/3NRL5KCXTVVLQSE6CX4VQHI2F7.json","graph_json":"https://pith.science/api/pith-number/3NRL5KCXTVVLQSE6CX4VQHI2F7/graph.json","events_json":"https://pith.science/api/pith-number/3NRL5KCXTVVLQSE6CX4VQHI2F7/events.json","paper":"https://pith.science/paper/3NRL5KCX"},"agent_actions":{"view_html":"https://pith.science/pith/3NRL5KCXTVVLQSE6CX4VQHI2F7","download_json":"https://pith.science/pith/3NRL5KCXTVVLQSE6CX4VQHI2F7.json","view_paper":"https://pith.science/paper/3NRL5KCX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.08616&json=true","fetch_graph":"https://pith.science/api/pith-number/3NRL5KCXTVVLQSE6CX4VQHI2F7/graph.json","fetch_events":"https://pith.science/api/pith-number/3NRL5KCXTVVLQSE6CX4VQHI2F7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3NRL5KCXTVVLQSE6CX4VQHI2F7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3NRL5KCXTVVLQSE6CX4VQHI2F7/action/storage_attestation","attest_author":"https://pith.science/pith/3NRL5KCXTVVLQSE6CX4VQHI2F7/action/author_attestation","sign_citation":"https://pith.science/pith/3NRL5KCXTVVLQSE6CX4VQHI2F7/action/citation_signature","submit_replication":"https://pith.science/pith/3NRL5KCXTVVLQSE6CX4VQHI2F7/action/replication_record"}},"created_at":"2026-05-18T00:25:03.436079+00:00","updated_at":"2026-05-18T00:25:03.436079+00:00"}