{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:7Q5O56TQXBFEYF5377XQ3Z7I6W","short_pith_number":"pith:7Q5O56TQ","schema_version":"1.0","canonical_sha256":"fc3aeefa70b84a4c17bbffef0de7e8f5b0faa981278f893682d9fc3c0266f7e4","source":{"kind":"arxiv","id":"2301.01448","version":1},"attestation_state":"computed","paper":{"title":"A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Chengwei Shao, Hong Lu, Jianping Lu, Jiawen Yao, Jing Xiao, Le Lu, Lingyun Huang, Ling Zhang, Mengmeng Zhu, Xu Fang, Yun Bian, Yu Shi, Zhilin Zheng","submitted_at":"2023-01-04T05:14:31Z","abstract_excerpt":"Lymph node (LN) metastasis status is one of the most critical prognostic and cancer staging factors for patients with resectable pancreatic ductal adenocarcinoma (PDAC), or in general, for any types of solid malignant tumors. Preoperative prediction of LN metastasis from non-invasive CT imaging is highly desired, as it might be straightforwardly used to guide the following neoadjuvant treatment decision and surgical planning. Most studies only capture the tumor characteristics in CT imaging to implicitly infer LN metastasis and very few work exploit direct LN's CT imaging information. To the b"},"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":"2301.01448","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2023-01-04T05:14:31Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"b97486c2253f1503d1203b796fde2110cb66af81e06e16bfc5c0b9222354dac1","abstract_canon_sha256":"f77af40f3b12341d42dc165df0ea33c48c7723a18b67f23e69a832cb6d2cb9e8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:30:36.377192Z","signature_b64":"wGkkjQFJz1WtYccQYfzSSwXRUH2o2hkLztf1iPrdMbqPXHTbHL/0g/YuyZWSY50l4K4hzt4lGCUEsO0MMpVeBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fc3aeefa70b84a4c17bbffef0de7e8f5b0faa981278f893682d9fc3c0266f7e4","last_reissued_at":"2026-07-05T05:30:36.376761Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:30:36.376761Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Chengwei Shao, Hong Lu, Jianping Lu, Jiawen Yao, Jing Xiao, Le Lu, Lingyun Huang, Ling Zhang, Mengmeng Zhu, Xu Fang, Yun Bian, Yu Shi, Zhilin Zheng","submitted_at":"2023-01-04T05:14:31Z","abstract_excerpt":"Lymph node (LN) metastasis status is one of the most critical prognostic and cancer staging factors for patients with resectable pancreatic ductal adenocarcinoma (PDAC), or in general, for any types of solid malignant tumors. Preoperative prediction of LN metastasis from non-invasive CT imaging is highly desired, as it might be straightforwardly used to guide the following neoadjuvant treatment decision and surgical planning. Most studies only capture the tumor characteristics in CT imaging to implicitly infer LN metastasis and very few work exploit direct LN's CT imaging information. To the b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.01448","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/2301.01448/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":"2301.01448","created_at":"2026-07-05T05:30:36.376828+00:00"},{"alias_kind":"arxiv_version","alias_value":"2301.01448v1","created_at":"2026-07-05T05:30:36.376828+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.01448","created_at":"2026-07-05T05:30:36.376828+00:00"},{"alias_kind":"pith_short_12","alias_value":"7Q5O56TQXBFE","created_at":"2026-07-05T05:30:36.376828+00:00"},{"alias_kind":"pith_short_16","alias_value":"7Q5O56TQXBFEYF53","created_at":"2026-07-05T05:30:36.376828+00:00"},{"alias_kind":"pith_short_8","alias_value":"7Q5O56TQ","created_at":"2026-07-05T05:30:36.376828+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/7Q5O56TQXBFEYF5377XQ3Z7I6W","json":"https://pith.science/pith/7Q5O56TQXBFEYF5377XQ3Z7I6W.json","graph_json":"https://pith.science/api/pith-number/7Q5O56TQXBFEYF5377XQ3Z7I6W/graph.json","events_json":"https://pith.science/api/pith-number/7Q5O56TQXBFEYF5377XQ3Z7I6W/events.json","paper":"https://pith.science/paper/7Q5O56TQ"},"agent_actions":{"view_html":"https://pith.science/pith/7Q5O56TQXBFEYF5377XQ3Z7I6W","download_json":"https://pith.science/pith/7Q5O56TQXBFEYF5377XQ3Z7I6W.json","view_paper":"https://pith.science/paper/7Q5O56TQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2301.01448&json=true","fetch_graph":"https://pith.science/api/pith-number/7Q5O56TQXBFEYF5377XQ3Z7I6W/graph.json","fetch_events":"https://pith.science/api/pith-number/7Q5O56TQXBFEYF5377XQ3Z7I6W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7Q5O56TQXBFEYF5377XQ3Z7I6W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7Q5O56TQXBFEYF5377XQ3Z7I6W/action/storage_attestation","attest_author":"https://pith.science/pith/7Q5O56TQXBFEYF5377XQ3Z7I6W/action/author_attestation","sign_citation":"https://pith.science/pith/7Q5O56TQXBFEYF5377XQ3Z7I6W/action/citation_signature","submit_replication":"https://pith.science/pith/7Q5O56TQXBFEYF5377XQ3Z7I6W/action/replication_record"}},"created_at":"2026-07-05T05:30:36.376828+00:00","updated_at":"2026-07-05T05:30:36.376828+00:00"}