{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PUWHQCK5S3FX26XBCB7SMRMBKT","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":"30db668637fbfb1779a95e0c23162f09bc00bd7474972da5e12303c01533170e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-18T11:14:02Z","title_canon_sha256":"7a545c3fb20cd17f266397b3f67c76a563aae459dbc56d8c383f2e9a53e3f6e8"},"schema_version":"1.0","source":{"id":"2412.13736","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.13736","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"arxiv_version","alias_value":"2412.13736v1","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.13736","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"pith_short_12","alias_value":"PUWHQCK5S3FX","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"pith_short_16","alias_value":"PUWHQCK5S3FX26XB","created_at":"2026-07-05T09:51:07Z"},{"alias_kind":"pith_short_8","alias_value":"PUWHQCK5","created_at":"2026-07-05T09:51:07Z"}],"graph_snapshots":[{"event_id":"sha256:dca86c501c0548bffcae9a36e99b25699bdd4334fb9682edafc0223f8168d7cd","target":"graph","created_at":"2026-07-05T09:51:07Z","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/2412.13736/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Artificial intelligence has advanced in Medical Visual Question Answering (Med-VQA), but prevalent research tends to focus on the accuracy of the answers, often overlooking the reasoning paths and interpretability, which are crucial in clinical settings. Besides, current Med-VQA algorithms, typically reliant on singular models, lack the robustness needed for real-world medical diagnostics which usually require collaborative expert evaluation. To address these shortcomings, this paper presents MedCoT, a novel hierarchical expert verification reasoning chain method designed to enhance interpreta","authors_text":"Jiawei Du, Jiaxiang Liu, Joey Tianyi Zhou, Yuan Wang, Zuozhu Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-18T11:14:02Z","title":"MedCoT: Medical Chain of Thought via Hierarchical Expert"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.13736","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":"sha256:292c343bbf0be7609959f3c693259fb79695bb6b4d062f8858fd734943a9b051","target":"record","created_at":"2026-07-05T09:51:07Z","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":"30db668637fbfb1779a95e0c23162f09bc00bd7474972da5e12303c01533170e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-18T11:14:02Z","title_canon_sha256":"7a545c3fb20cd17f266397b3f67c76a563aae459dbc56d8c383f2e9a53e3f6e8"},"schema_version":"1.0","source":{"id":"2412.13736","kind":"arxiv","version":1}},"canonical_sha256":"7d2c78095d96cb7d7ae1107f26458154e322d5025090d8c7c2df81052a74d2ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7d2c78095d96cb7d7ae1107f26458154e322d5025090d8c7c2df81052a74d2ff","first_computed_at":"2026-07-05T09:51:07.260273Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:51:07.260273Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2WdqJYjeUnVsb4kuU472XTE/gMSJFb/MAOkgok0kYgrX1L/+/K2MQJqGglh5DuR7yXG0h5jqrWWNRWGYj/1gAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:51:07.260721Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.13736","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:292c343bbf0be7609959f3c693259fb79695bb6b4d062f8858fd734943a9b051","sha256:dca86c501c0548bffcae9a36e99b25699bdd4334fb9682edafc0223f8168d7cd"],"state_sha256":"5e88782bdacad499f89617f32979939347f254a71db85cffdebed5db2d362b55"}