{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:PCMGDXG5UAVDVMARP3WNZH4VPL","short_pith_number":"pith:PCMGDXG5","canonical_record":{"source":{"id":"2208.02355","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-03T21:34:31Z","cross_cats_sorted":[],"title_canon_sha256":"d54b77b47fa63645b5d538cce7d48d5035e413a483a77f165d74aba7327ee6ce","abstract_canon_sha256":"f300ff8f589c1c8eadf185778d07cd4818ed61ac574c87a6446dea983b0cb24d"},"schema_version":"1.0"},"canonical_sha256":"789861dcdda02a3ab0117eecdc9f957af3275ce4cf012ad12539c5d4a5f0280f","source":{"kind":"arxiv","id":"2208.02355","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.02355","created_at":"2026-07-05T08:13:57Z"},{"alias_kind":"arxiv_version","alias_value":"2208.02355v4","created_at":"2026-07-05T08:13:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.02355","created_at":"2026-07-05T08:13:57Z"},{"alias_kind":"pith_short_12","alias_value":"PCMGDXG5UAVD","created_at":"2026-07-05T08:13:57Z"},{"alias_kind":"pith_short_16","alias_value":"PCMGDXG5UAVDVMAR","created_at":"2026-07-05T08:13:57Z"},{"alias_kind":"pith_short_8","alias_value":"PCMGDXG5","created_at":"2026-07-05T08:13:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:PCMGDXG5UAVDVMARP3WNZH4VPL","target":"record","payload":{"canonical_record":{"source":{"id":"2208.02355","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-03T21:34:31Z","cross_cats_sorted":[],"title_canon_sha256":"d54b77b47fa63645b5d538cce7d48d5035e413a483a77f165d74aba7327ee6ce","abstract_canon_sha256":"f300ff8f589c1c8eadf185778d07cd4818ed61ac574c87a6446dea983b0cb24d"},"schema_version":"1.0"},"canonical_sha256":"789861dcdda02a3ab0117eecdc9f957af3275ce4cf012ad12539c5d4a5f0280f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:13:57.400566Z","signature_b64":"OB/mePQRDbHN8JJPIpcv7JvtwPQlkwSDtF02Mcjdpo3tHyFFKBDpC4TWxqNORbmaH9V9OOmINuvW42RXJrmfCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"789861dcdda02a3ab0117eecdc9f957af3275ce4cf012ad12539c5d4a5f0280f","last_reissued_at":"2026-07-05T08:13:57.400108Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:13:57.400108Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.02355","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:13:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8BU9uitZPZD4J/FWA+yq8PZzF9UrgaNQsLVitLUIBjr8JAzUXvUQ6eM5xo5eYr98i0ss5CfkbW3YoYh3UN/WBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:38:15.470088Z"},"content_sha256":"770df0cde201c92d406ade2a45a6c0311124d3d9525fe7aab5783d7405b4ad5b","schema_version":"1.0","event_id":"sha256:770df0cde201c92d406ade2a45a6c0311124d3d9525fe7aab5783d7405b4ad5b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:PCMGDXG5UAVDVMARP3WNZH4VPL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CAVE: Cerebral Artery-Vein Segmentation in Digital Subtraction Angiography","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Aad van der Lugt, Danny Ruijters, P. Matthijs van der Sluijs, Ruben van den Broek, Ruisheng Su, Sandra Cornelissen, Theo van Walsum, Wim H. van Zwam, Wiro Niessen, Yuan Chen","submitted_at":"2022-08-03T21:34:31Z","abstract_excerpt":"Cerebral X-ray digital subtraction angiography (DSA) is a widely used imaging technique in patients with neurovascular disease, allowing for vessel and flow visualization with high spatio-temporal resolution. Automatic artery-vein segmentation in DSA plays a fundamental role in vascular analysis with quantitative biomarker extraction, facilitating a wide range of clinical applications. The widely adopted U-Net applied on static DSA frames often struggles with disentangling vessels from subtraction artifacts. Further, it falls short in effectively separating arteries and veins as it disregards "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.02355","kind":"arxiv","version":4},"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/2208.02355/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":"2026-07-05T08:13:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5CKbyTde9o/X3S1c9l3kingU56KzoYWbJWViCap8e93WMRDOQAoyum9/wMT0nxq1AV/OHZYodgVrDTYjBtmoCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T06:38:15.470586Z"},"content_sha256":"6354aeaa2b2d731cd2b6a891692f281e3946ac0a28a58d391422efd11eec2402","schema_version":"1.0","event_id":"sha256:6354aeaa2b2d731cd2b6a891692f281e3946ac0a28a58d391422efd11eec2402"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PCMGDXG5UAVDVMARP3WNZH4VPL/bundle.json","state_url":"https://pith.science/pith/PCMGDXG5UAVDVMARP3WNZH4VPL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PCMGDXG5UAVDVMARP3WNZH4VPL/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":"2026-08-10T06:38:15Z","links":{"resolver":"https://pith.science/pith/PCMGDXG5UAVDVMARP3WNZH4VPL","bundle":"https://pith.science/pith/PCMGDXG5UAVDVMARP3WNZH4VPL/bundle.json","state":"https://pith.science/pith/PCMGDXG5UAVDVMARP3WNZH4VPL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PCMGDXG5UAVDVMARP3WNZH4VPL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:PCMGDXG5UAVDVMARP3WNZH4VPL","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":"f300ff8f589c1c8eadf185778d07cd4818ed61ac574c87a6446dea983b0cb24d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-03T21:34:31Z","title_canon_sha256":"d54b77b47fa63645b5d538cce7d48d5035e413a483a77f165d74aba7327ee6ce"},"schema_version":"1.0","source":{"id":"2208.02355","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.02355","created_at":"2026-07-05T08:13:57Z"},{"alias_kind":"arxiv_version","alias_value":"2208.02355v4","created_at":"2026-07-05T08:13:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.02355","created_at":"2026-07-05T08:13:57Z"},{"alias_kind":"pith_short_12","alias_value":"PCMGDXG5UAVD","created_at":"2026-07-05T08:13:57Z"},{"alias_kind":"pith_short_16","alias_value":"PCMGDXG5UAVDVMAR","created_at":"2026-07-05T08:13:57Z"},{"alias_kind":"pith_short_8","alias_value":"PCMGDXG5","created_at":"2026-07-05T08:13:57Z"}],"graph_snapshots":[{"event_id":"sha256:6354aeaa2b2d731cd2b6a891692f281e3946ac0a28a58d391422efd11eec2402","target":"graph","created_at":"2026-07-05T08:13:57Z","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/2208.02355/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cerebral X-ray digital subtraction angiography (DSA) is a widely used imaging technique in patients with neurovascular disease, allowing for vessel and flow visualization with high spatio-temporal resolution. Automatic artery-vein segmentation in DSA plays a fundamental role in vascular analysis with quantitative biomarker extraction, facilitating a wide range of clinical applications. The widely adopted U-Net applied on static DSA frames often struggles with disentangling vessels from subtraction artifacts. Further, it falls short in effectively separating arteries and veins as it disregards ","authors_text":"Aad van der Lugt, Danny Ruijters, P. Matthijs van der Sluijs, Ruben van den Broek, Ruisheng Su, Sandra Cornelissen, Theo van Walsum, Wim H. van Zwam, Wiro Niessen, Yuan Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-03T21:34:31Z","title":"CAVE: Cerebral Artery-Vein Segmentation in Digital Subtraction Angiography"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.02355","kind":"arxiv","version":4},"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":"sha256:770df0cde201c92d406ade2a45a6c0311124d3d9525fe7aab5783d7405b4ad5b","target":"record","created_at":"2026-07-05T08:13:57Z","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":"f300ff8f589c1c8eadf185778d07cd4818ed61ac574c87a6446dea983b0cb24d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2022-08-03T21:34:31Z","title_canon_sha256":"d54b77b47fa63645b5d538cce7d48d5035e413a483a77f165d74aba7327ee6ce"},"schema_version":"1.0","source":{"id":"2208.02355","kind":"arxiv","version":4}},"canonical_sha256":"789861dcdda02a3ab0117eecdc9f957af3275ce4cf012ad12539c5d4a5f0280f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"789861dcdda02a3ab0117eecdc9f957af3275ce4cf012ad12539c5d4a5f0280f","first_computed_at":"2026-07-05T08:13:57.400108Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:13:57.400108Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OB/mePQRDbHN8JJPIpcv7JvtwPQlkwSDtF02Mcjdpo3tHyFFKBDpC4TWxqNORbmaH9V9OOmINuvW42RXJrmfCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:13:57.400566Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.02355","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:770df0cde201c92d406ade2a45a6c0311124d3d9525fe7aab5783d7405b4ad5b","sha256:6354aeaa2b2d731cd2b6a891692f281e3946ac0a28a58d391422efd11eec2402"],"state_sha256":"f708df86dd63015d7523694219f827c87f8ba0c83a5f723b4255e43da6de8a60"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a9woF4vDOSOBNaJ+RRk1juYD91qtYJ8ZQKftEu0alwz+QkcbRw0jFKM4Z4gm52yyQHO8bmNdEkhjJvY5U7exAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T06:38:15.476612Z","bundle_sha256":"34e3d91c1e9407a226e2a6947f98ee0a9a2ba05ee4201bbc81de3fe21c1f300c"}}