{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:3ZOD4TS362Y5XFHPQX2HU73OFO","short_pith_number":"pith:3ZOD4TS3","canonical_record":{"source":{"id":"2301.04733","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-11T21:54:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fc34f76dbfe549c6f840e6d5bfe7cd13e7ce3b5227cbcb1fff3198adb26d3e68","abstract_canon_sha256":"6b998d5bd650ac46db6153f871377d330abec573b784119198c076c1555d4a41"},"schema_version":"1.0"},"canonical_sha256":"de5c3e4e5bf6b1db94ef85f47a7f6e2b8e24a13465827437a02632f8059b3183","source":{"kind":"arxiv","id":"2301.04733","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.04733","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"arxiv_version","alias_value":"2301.04733v1","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.04733","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"pith_short_12","alias_value":"3ZOD4TS362Y5","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"pith_short_16","alias_value":"3ZOD4TS362Y5XFHP","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"pith_short_8","alias_value":"3ZOD4TS3","created_at":"2026-07-05T07:26:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:3ZOD4TS362Y5XFHPQX2HU73OFO","target":"record","payload":{"canonical_record":{"source":{"id":"2301.04733","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-11T21:54:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"fc34f76dbfe549c6f840e6d5bfe7cd13e7ce3b5227cbcb1fff3198adb26d3e68","abstract_canon_sha256":"6b998d5bd650ac46db6153f871377d330abec573b784119198c076c1555d4a41"},"schema_version":"1.0"},"canonical_sha256":"de5c3e4e5bf6b1db94ef85f47a7f6e2b8e24a13465827437a02632f8059b3183","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:26:35.977701Z","signature_b64":"remDmPCVdQMj2XHs4lcWIoReD3Lk2d4URe10y2mtlDVKxXSnIQz1EWob2qfCqi07e0L3zWlPo+Mfz/oELKBRAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"de5c3e4e5bf6b1db94ef85f47a7f6e2b8e24a13465827437a02632f8059b3183","last_reissued_at":"2026-07-05T07:26:35.977294Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:26:35.977294Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.04733","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:26:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CLx4/m4voVxojjava3FIcGfx6tbNNmx0Fd9KsFYlqHfJZxW8Gp+vap+R7YbW+h7AA+VnivHpQivHs1YhwZeqDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:35:45.576280Z"},"content_sha256":"d7f6498c01251ac32965d2b3b7292334f7b86e59f69fb8e542ca4e316ba07415","schema_version":"1.0","event_id":"sha256:d7f6498c01251ac32965d2b3b7292334f7b86e59f69fb8e542ca4e316ba07415"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:3ZOD4TS362Y5XFHPQX2HU73OFO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chen Zhao, Drew Pienta, Guang-Uei Hung, Jingfeng Jiang, Michele Esposito, Weihua Zhou, Zhihui Xu","submitted_at":"2023-01-11T21:54:28Z","abstract_excerpt":"Semantic labeling of coronary arterial segments in invasive coronary angiography (ICA) is important for automated assessment and report generation of coronary artery stenosis in the computer-aided diagnosis of coronary artery disease (CAD). Inspired by the training procedure of interventional cardiologists for interpreting the structure of coronary arteries, we propose an association graph-based graph matching network (AGMN) for coronary arterial semantic labeling. We first extract the vascular tree from invasive coronary angiography (ICA) and convert it into multiple individual graphs. Then, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.04733","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/2301.04733/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:26:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e6r4Uozb/nZ3rjrPnJgrfLr4c9SSadi4QPGuxyKXC5fXT8S6SXnHWLorUeLLulT1uTKUlFJ2dGW9efnn7Q/UAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T07:35:45.576959Z"},"content_sha256":"65ac5c4783892d1ea65d6dcdec71fdb837ca494cd0ed27afc0e36871d8b5d020","schema_version":"1.0","event_id":"sha256:65ac5c4783892d1ea65d6dcdec71fdb837ca494cd0ed27afc0e36871d8b5d020"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3ZOD4TS362Y5XFHPQX2HU73OFO/bundle.json","state_url":"https://pith.science/pith/3ZOD4TS362Y5XFHPQX2HU73OFO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3ZOD4TS362Y5XFHPQX2HU73OFO/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-07T07:35:45Z","links":{"resolver":"https://pith.science/pith/3ZOD4TS362Y5XFHPQX2HU73OFO","bundle":"https://pith.science/pith/3ZOD4TS362Y5XFHPQX2HU73OFO/bundle.json","state":"https://pith.science/pith/3ZOD4TS362Y5XFHPQX2HU73OFO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3ZOD4TS362Y5XFHPQX2HU73OFO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:3ZOD4TS362Y5XFHPQX2HU73OFO","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":"6b998d5bd650ac46db6153f871377d330abec573b784119198c076c1555d4a41","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-11T21:54:28Z","title_canon_sha256":"fc34f76dbfe549c6f840e6d5bfe7cd13e7ce3b5227cbcb1fff3198adb26d3e68"},"schema_version":"1.0","source":{"id":"2301.04733","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.04733","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"arxiv_version","alias_value":"2301.04733v1","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.04733","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"pith_short_12","alias_value":"3ZOD4TS362Y5","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"pith_short_16","alias_value":"3ZOD4TS362Y5XFHP","created_at":"2026-07-05T07:26:35Z"},{"alias_kind":"pith_short_8","alias_value":"3ZOD4TS3","created_at":"2026-07-05T07:26:35Z"}],"graph_snapshots":[{"event_id":"sha256:65ac5c4783892d1ea65d6dcdec71fdb837ca494cd0ed27afc0e36871d8b5d020","target":"graph","created_at":"2026-07-05T07:26:35Z","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/2301.04733/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semantic labeling of coronary arterial segments in invasive coronary angiography (ICA) is important for automated assessment and report generation of coronary artery stenosis in the computer-aided diagnosis of coronary artery disease (CAD). Inspired by the training procedure of interventional cardiologists for interpreting the structure of coronary arteries, we propose an association graph-based graph matching network (AGMN) for coronary arterial semantic labeling. We first extract the vascular tree from invasive coronary angiography (ICA) and convert it into multiple individual graphs. Then, ","authors_text":"Chen Zhao, Drew Pienta, Guang-Uei Hung, Jingfeng Jiang, Michele Esposito, Weihua Zhou, Zhihui Xu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-11T21:54:28Z","title":"AGMN: Association Graph-based Graph Matching Network for Coronary Artery Semantic Labeling on Invasive Coronary Angiograms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.04733","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:d7f6498c01251ac32965d2b3b7292334f7b86e59f69fb8e542ca4e316ba07415","target":"record","created_at":"2026-07-05T07:26:35Z","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":"6b998d5bd650ac46db6153f871377d330abec573b784119198c076c1555d4a41","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-01-11T21:54:28Z","title_canon_sha256":"fc34f76dbfe549c6f840e6d5bfe7cd13e7ce3b5227cbcb1fff3198adb26d3e68"},"schema_version":"1.0","source":{"id":"2301.04733","kind":"arxiv","version":1}},"canonical_sha256":"de5c3e4e5bf6b1db94ef85f47a7f6e2b8e24a13465827437a02632f8059b3183","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"de5c3e4e5bf6b1db94ef85f47a7f6e2b8e24a13465827437a02632f8059b3183","first_computed_at":"2026-07-05T07:26:35.977294Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:26:35.977294Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"remDmPCVdQMj2XHs4lcWIoReD3Lk2d4URe10y2mtlDVKxXSnIQz1EWob2qfCqi07e0L3zWlPo+Mfz/oELKBRAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:26:35.977701Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.04733","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d7f6498c01251ac32965d2b3b7292334f7b86e59f69fb8e542ca4e316ba07415","sha256:65ac5c4783892d1ea65d6dcdec71fdb837ca494cd0ed27afc0e36871d8b5d020"],"state_sha256":"5347a24d844c383631a39d1312aa7f45b8da107b7ea24ae2cabfa1b2060cbe54"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"miD+TUVpo2JywJvXiQJ3d5pNoCzQf1N2PRx7y0xElfkiBSGg1ZlXs5InsMcBNViqYAiQyWxZXv7p5KTS9038Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T07:35:45.580683Z","bundle_sha256":"578d1b139ce2932c97912cedf81c5a9a8658f07ca31a942e047eb6a58134b3a2"}}