{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:MDGZXFRIJ6UCMPA2KNKHYJ4VOV","short_pith_number":"pith:MDGZXFRI","schema_version":"1.0","canonical_sha256":"60cd9b96284fa8263c1a53547c2795756f0b1c60f8d23459932a99c7c199b771","source":{"kind":"arxiv","id":"2607.03715","version":1},"attestation_state":"computed","paper":{"title":"Leveraging Pathology Co-occurrence for Test-Time Adaptation in Chest X-Ray Diagnosis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongbin Kim, Jaewook Lee, Soyeon Park, Woojin Jeong, Yujin Choi","submitted_at":"2026-07-04T05:41:58Z","abstract_excerpt":"Medical imaging models often degrade when deployed at new clinical sites due to differences in imaging equipment, protocols, and patient populations. Test-time adaptation (TTA) addresses this by updating a pretrained model using only unlabeled target data, without access to source data. However, existing TTA methods were designed for single-label classification on natural image benchmarks, minimizing entropy uniformly across all samples without considering label dependencies. This overlooks a key property of multi-label medical imaging: pathologies do not occur independently but exhibit struct"},"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":"2607.03715","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-04T05:41:58Z","cross_cats_sorted":[],"title_canon_sha256":"f357a42c3ac7d9513a6f4af3909063b2eb253dc87dea2ea4d5e71c248efd6b2f","abstract_canon_sha256":"fdff741ad5b6c3828d8b030705eb24444a3dfeb75456691437f4a0f696faf0c9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T02:18:03.271864Z","signature_b64":"GiaXeFClxzaIyh75JGtThqXMivo7+gGE5Uo2FhrMV/GnsGMuFQk+b+ImEPPPf7qpeEcL7wXAGwoAsVrQRh5mAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60cd9b96284fa8263c1a53547c2795756f0b1c60f8d23459932a99c7c199b771","last_reissued_at":"2026-07-07T02:18:03.271160Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T02:18:03.271160Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Leveraging Pathology Co-occurrence for Test-Time Adaptation in Chest X-Ray Diagnosis","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongbin Kim, Jaewook Lee, Soyeon Park, Woojin Jeong, Yujin Choi","submitted_at":"2026-07-04T05:41:58Z","abstract_excerpt":"Medical imaging models often degrade when deployed at new clinical sites due to differences in imaging equipment, protocols, and patient populations. Test-time adaptation (TTA) addresses this by updating a pretrained model using only unlabeled target data, without access to source data. However, existing TTA methods were designed for single-label classification on natural image benchmarks, minimizing entropy uniformly across all samples without considering label dependencies. This overlooks a key property of multi-label medical imaging: pathologies do not occur independently but exhibit struct"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.03715","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/2607.03715/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":"2607.03715","created_at":"2026-07-07T02:18:03.271282+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.03715v1","created_at":"2026-07-07T02:18:03.271282+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.03715","created_at":"2026-07-07T02:18:03.271282+00:00"},{"alias_kind":"pith_short_12","alias_value":"MDGZXFRIJ6UC","created_at":"2026-07-07T02:18:03.271282+00:00"},{"alias_kind":"pith_short_16","alias_value":"MDGZXFRIJ6UCMPA2","created_at":"2026-07-07T02:18:03.271282+00:00"},{"alias_kind":"pith_short_8","alias_value":"MDGZXFRI","created_at":"2026-07-07T02:18:03.271282+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/MDGZXFRIJ6UCMPA2KNKHYJ4VOV","json":"https://pith.science/pith/MDGZXFRIJ6UCMPA2KNKHYJ4VOV.json","graph_json":"https://pith.science/api/pith-number/MDGZXFRIJ6UCMPA2KNKHYJ4VOV/graph.json","events_json":"https://pith.science/api/pith-number/MDGZXFRIJ6UCMPA2KNKHYJ4VOV/events.json","paper":"https://pith.science/paper/MDGZXFRI"},"agent_actions":{"view_html":"https://pith.science/pith/MDGZXFRIJ6UCMPA2KNKHYJ4VOV","download_json":"https://pith.science/pith/MDGZXFRIJ6UCMPA2KNKHYJ4VOV.json","view_paper":"https://pith.science/paper/MDGZXFRI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.03715&json=true","fetch_graph":"https://pith.science/api/pith-number/MDGZXFRIJ6UCMPA2KNKHYJ4VOV/graph.json","fetch_events":"https://pith.science/api/pith-number/MDGZXFRIJ6UCMPA2KNKHYJ4VOV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MDGZXFRIJ6UCMPA2KNKHYJ4VOV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MDGZXFRIJ6UCMPA2KNKHYJ4VOV/action/storage_attestation","attest_author":"https://pith.science/pith/MDGZXFRIJ6UCMPA2KNKHYJ4VOV/action/author_attestation","sign_citation":"https://pith.science/pith/MDGZXFRIJ6UCMPA2KNKHYJ4VOV/action/citation_signature","submit_replication":"https://pith.science/pith/MDGZXFRIJ6UCMPA2KNKHYJ4VOV/action/replication_record"}},"created_at":"2026-07-07T02:18:03.271282+00:00","updated_at":"2026-07-07T02:18:03.271282+00:00"}