{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:WIQLLOSEVTROB4VW7GVGRVZ536","short_pith_number":"pith:WIQLLOSE","schema_version":"1.0","canonical_sha256":"b220b5ba44ace2e0f2b6f9aa68d73ddfaa537ee9990daa0ba10bd1acc37cc805","source":{"kind":"arxiv","id":"1807.07991","version":1},"attestation_state":"computed","paper":{"title":"Knowledge Integration for Disease Characterization: A Breast Cancer Example","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Deborah L. McGuinness, James A. Hendler, James P. McCusker, Kristin P. Bennett, Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari","submitted_at":"2018-07-20T18:26:29Z","abstract_excerpt":"With the rapid advancements in cancer research, the information that is useful for characterizing disease, staging tumors, and creating treatment and survivorship plans has been changing at a pace that creates challenges when physicians try to remain current. One example involves increasing usage of biomarkers when characterizing the pathologic prognostic stage of a breast tumor. We present our semantic technology approach to support cancer characterization and demonstrate it in our end-to-end prototype system that collects the newest breast cancer staging criteria from authoritative oncology "},"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":"1807.07991","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-07-20T18:26:29Z","cross_cats_sorted":[],"title_canon_sha256":"284cf09f3cbdf40aa3c7c45d62a2fe8a614562bc705e85a63a0f14a62fc3bc9a","abstract_canon_sha256":"599952bc65d75c0c89bd5ce289a193197c7a8aca0357e9502e9b6a0057682f32"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:10:14.544596Z","signature_b64":"H8Rz/NWfAjXAUxVP8+PWOgoJUdAV/tzvnf/IaK5kvfBTcP76yJVPdcju4nDlogFH5E5ZhGNCsrwFHtXEIoKzBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b220b5ba44ace2e0f2b6f9aa68d73ddfaa537ee9990daa0ba10bd1acc37cc805","last_reissued_at":"2026-05-18T00:10:14.543933Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:10:14.543933Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Knowledge Integration for Disease Characterization: A Breast Cancer Example","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Deborah L. McGuinness, James A. Hendler, James P. McCusker, Kristin P. Bennett, Oshani Seneviratne, Sabbir M. Rashid, Shruthi Chari","submitted_at":"2018-07-20T18:26:29Z","abstract_excerpt":"With the rapid advancements in cancer research, the information that is useful for characterizing disease, staging tumors, and creating treatment and survivorship plans has been changing at a pace that creates challenges when physicians try to remain current. One example involves increasing usage of biomarkers when characterizing the pathologic prognostic stage of a breast tumor. We present our semantic technology approach to support cancer characterization and demonstrate it in our end-to-end prototype system that collects the newest breast cancer staging criteria from authoritative oncology "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.07991","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":"1807.07991","created_at":"2026-05-18T00:10:14.544025+00:00"},{"alias_kind":"arxiv_version","alias_value":"1807.07991v1","created_at":"2026-05-18T00:10:14.544025+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.07991","created_at":"2026-05-18T00:10:14.544025+00:00"},{"alias_kind":"pith_short_12","alias_value":"WIQLLOSEVTRO","created_at":"2026-05-18T12:32:59.047623+00:00"},{"alias_kind":"pith_short_16","alias_value":"WIQLLOSEVTROB4VW","created_at":"2026-05-18T12:32:59.047623+00:00"},{"alias_kind":"pith_short_8","alias_value":"WIQLLOSE","created_at":"2026-05-18T12:32:59.047623+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/WIQLLOSEVTROB4VW7GVGRVZ536","json":"https://pith.science/pith/WIQLLOSEVTROB4VW7GVGRVZ536.json","graph_json":"https://pith.science/api/pith-number/WIQLLOSEVTROB4VW7GVGRVZ536/graph.json","events_json":"https://pith.science/api/pith-number/WIQLLOSEVTROB4VW7GVGRVZ536/events.json","paper":"https://pith.science/paper/WIQLLOSE"},"agent_actions":{"view_html":"https://pith.science/pith/WIQLLOSEVTROB4VW7GVGRVZ536","download_json":"https://pith.science/pith/WIQLLOSEVTROB4VW7GVGRVZ536.json","view_paper":"https://pith.science/paper/WIQLLOSE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1807.07991&json=true","fetch_graph":"https://pith.science/api/pith-number/WIQLLOSEVTROB4VW7GVGRVZ536/graph.json","fetch_events":"https://pith.science/api/pith-number/WIQLLOSEVTROB4VW7GVGRVZ536/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WIQLLOSEVTROB4VW7GVGRVZ536/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WIQLLOSEVTROB4VW7GVGRVZ536/action/storage_attestation","attest_author":"https://pith.science/pith/WIQLLOSEVTROB4VW7GVGRVZ536/action/author_attestation","sign_citation":"https://pith.science/pith/WIQLLOSEVTROB4VW7GVGRVZ536/action/citation_signature","submit_replication":"https://pith.science/pith/WIQLLOSEVTROB4VW7GVGRVZ536/action/replication_record"}},"created_at":"2026-05-18T00:10:14.544025+00:00","updated_at":"2026-05-18T00:10:14.544025+00:00"}