{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:T5IBZUV3B4LAIO7Y4XHNFWRQHU","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ea084839e7d269f3c1a068dabaa6a0d4f34b68b45154548e7c20f0d9cddb82cc","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-18T08:31:26Z","title_canon_sha256":"733118c6cc3a1c5118228d742a1aa24bf7964e4f60a90bfcff8d7582d001abb0"},"schema_version":"1.0","source":{"id":"2412.13599","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13599","created_at":"2026-07-05T09:51:04Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13599v1","created_at":"2026-07-05T09:51:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13599","created_at":"2026-07-05T09:51:04Z"},{"alias_kind":"pith_short_12","alias_value":"T5IBZUV3B4LA","created_at":"2026-07-05T09:51:04Z"},{"alias_kind":"pith_short_16","alias_value":"T5IBZUV3B4LAIO7Y","created_at":"2026-07-05T09:51:04Z"},{"alias_kind":"pith_short_8","alias_value":"T5IBZUV3","created_at":"2026-07-05T09:51:04Z"}],"graph_snapshots":[{"event_id":"sha256:97603340472a331cb17cd3788b18b2ff5be780fd4d36cd506d9b04a4cb0a99cf","target":"graph","created_at":"2026-07-05T09:51:04Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2412.13599/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Anatomical abnormality detection and report generation of chest X-ray (CXR) are two essential tasks in clinical practice. The former aims at localizing and characterizing cardiopulmonary radiological findings in CXRs, while the latter summarizes the findings in a detailed report for further diagnosis and treatment. Existing methods often focused on either task separately, ignoring their correlation. This work proposes a co-evolutionary abnormality detection and report generation (CoE-DG) framework. The framework utilizes both fully labeled (with bounding box annotations and clinical reports) a","authors_text":"Donghuan Lu, Dong Wei, Hong Liu, Hong Wang, Jinghan Sun, Liansheng Wang, Sotirios A. Tsaftaris, Steven McDonagh, Yefeng Zheng, Zhe Xu","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-18T08:31:26Z","title":"Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13599","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:230739b07065d37458ee917454bb29f1f481bd70e4477f1c769db4f122cdb860","target":"record","created_at":"2026-07-05T09:51:04Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ea084839e7d269f3c1a068dabaa6a0d4f34b68b45154548e7c20f0d9cddb82cc","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-18T08:31:26Z","title_canon_sha256":"733118c6cc3a1c5118228d742a1aa24bf7964e4f60a90bfcff8d7582d001abb0"},"schema_version":"1.0","source":{"id":"2412.13599","kind":"arxiv","version":1}},"canonical_sha256":"9f501cd2bb0f16043bf8e5ced2da303d235d8279d13e319c071a810e5a386c50","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9f501cd2bb0f16043bf8e5ced2da303d235d8279d13e319c071a810e5a386c50","first_computed_at":"2026-07-05T09:51:04.843606Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:04.843606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3k1JTKyWUe5BKqJ425pFAOBhROOPPexlY29o9kXqEcHuhfeb19brZezMzPnJQ37H5T4owZmUyyUzagdNSG+MDA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:04.844133Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.13599","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:230739b07065d37458ee917454bb29f1f481bd70e4477f1c769db4f122cdb860","sha256:97603340472a331cb17cd3788b18b2ff5be780fd4d36cd506d9b04a4cb0a99cf"],"state_sha256":"c3258988266c4a0c368c75b61658705362e59db6a604ed37b7228c48ea10a010"}