{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SKOQGMIKORKJOKTIW4AKQI4VP4","short_pith_number":"pith:SKOQGMIK","canonical_record":{"source":{"id":"2509.03173","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-09-03T09:44:11Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"3d3030ef643839e2165212282aa3274db7736fd35f2b63a04aa7defd6c4c1192","abstract_canon_sha256":"dd57b4a63f1ec41ba6b7b6486419e0f5dc2e4aad73f98832a9a5e0bf90d7c1c9"},"schema_version":"1.0"},"canonical_sha256":"929d03310a7454972a68b700a823957f13f3e37fade57bd70862542b247ac8f2","source":{"kind":"arxiv","id":"2509.03173","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.03173","created_at":"2026-07-05T12:04:05Z"},{"alias_kind":"arxiv_version","alias_value":"2509.03173v1","created_at":"2026-07-05T12:04:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03173","created_at":"2026-07-05T12:04:05Z"},{"alias_kind":"pith_short_12","alias_value":"SKOQGMIKORKJ","created_at":"2026-07-05T12:04:05Z"},{"alias_kind":"pith_short_16","alias_value":"SKOQGMIKORKJOKTI","created_at":"2026-07-05T12:04:05Z"},{"alias_kind":"pith_short_8","alias_value":"SKOQGMIK","created_at":"2026-07-05T12:04:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SKOQGMIKORKJOKTIW4AKQI4VP4","target":"record","payload":{"canonical_record":{"source":{"id":"2509.03173","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-09-03T09:44:11Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"3d3030ef643839e2165212282aa3274db7736fd35f2b63a04aa7defd6c4c1192","abstract_canon_sha256":"dd57b4a63f1ec41ba6b7b6486419e0f5dc2e4aad73f98832a9a5e0bf90d7c1c9"},"schema_version":"1.0"},"canonical_sha256":"929d03310a7454972a68b700a823957f13f3e37fade57bd70862542b247ac8f2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:04:05.527473Z","signature_b64":"iKgw7/jN9RkELKJHLxhChOdxc59Rl8ZIREG7hMC9HrEllwXDB8xWiSpwbYnesx5ADE7n+BV/GlxZZXEQCMNsCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"929d03310a7454972a68b700a823957f13f3e37fade57bd70862542b247ac8f2","last_reissued_at":"2026-07-05T12:04:05.526885Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:04:05.526885Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.03173","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":"2026-07-05T12:04:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8AYRCHuv+bBuVPsicZfJFOBfZM+FHc/qAQ+lOb2sB6jebp21KKsonOgJfOPvatRzT41zu2leaBCfyDbIu+T+BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T23:44:23.139592Z"},"content_sha256":"aa6b2a052b0ed66a9012acba48fca1b16d543a7936ea13dcf6cb24397b1f5731","schema_version":"1.0","event_id":"sha256:aa6b2a052b0ed66a9012acba48fca1b16d543a7936ea13dcf6cb24397b1f5731"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SKOQGMIKORKJOKTIW4AKQI4VP4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Self-knowledge Distillation: A hierarchical supervised learning for coronary artery segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Mingfeng Lin","submitted_at":"2025-09-03T09:44:11Z","abstract_excerpt":"Coronary artery disease is a leading cause of mortality, underscoring the critical importance of precise diagnosis through X-ray angiography. Manual coronary artery segmentation from these images is time-consuming and inefficient, prompting the development of automated models. However, existing methods, whether rule-based or deep learning models, struggle with issues like poor performance and limited generalizability. Moreover, current knowledge distillation methods applied in this field have not fully exploited the hierarchical knowledge of the model, leading to certain information waste and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03173","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/2509.03173/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":"2026-07-05T12:04:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5XzrkAqtuAPmqoAhh1WhnpICU62AQI5vlJn7SMgkAGZoJaJRv5/uz4M+f+OLrAaB/meAoo+nW1xzBUNXf8JgAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T23:44:23.140123Z"},"content_sha256":"6a362a9347274158b1b741a8ff706af4182534a1a1806815c04a14099b88605f","schema_version":"1.0","event_id":"sha256:6a362a9347274158b1b741a8ff706af4182534a1a1806815c04a14099b88605f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SKOQGMIKORKJOKTIW4AKQI4VP4/bundle.json","state_url":"https://pith.science/pith/SKOQGMIKORKJOKTIW4AKQI4VP4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SKOQGMIKORKJOKTIW4AKQI4VP4/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":"2026-08-15T23:44:23Z","links":{"resolver":"https://pith.science/pith/SKOQGMIKORKJOKTIW4AKQI4VP4","bundle":"https://pith.science/pith/SKOQGMIKORKJOKTIW4AKQI4VP4/bundle.json","state":"https://pith.science/pith/SKOQGMIKORKJOKTIW4AKQI4VP4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SKOQGMIKORKJOKTIW4AKQI4VP4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SKOQGMIKORKJOKTIW4AKQI4VP4","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":"dd57b4a63f1ec41ba6b7b6486419e0f5dc2e4aad73f98832a9a5e0bf90d7c1c9","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-09-03T09:44:11Z","title_canon_sha256":"3d3030ef643839e2165212282aa3274db7736fd35f2b63a04aa7defd6c4c1192"},"schema_version":"1.0","source":{"id":"2509.03173","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.03173","created_at":"2026-07-05T12:04:05Z"},{"alias_kind":"arxiv_version","alias_value":"2509.03173v1","created_at":"2026-07-05T12:04:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.03173","created_at":"2026-07-05T12:04:05Z"},{"alias_kind":"pith_short_12","alias_value":"SKOQGMIKORKJ","created_at":"2026-07-05T12:04:05Z"},{"alias_kind":"pith_short_16","alias_value":"SKOQGMIKORKJOKTI","created_at":"2026-07-05T12:04:05Z"},{"alias_kind":"pith_short_8","alias_value":"SKOQGMIK","created_at":"2026-07-05T12:04:05Z"}],"graph_snapshots":[{"event_id":"sha256:6a362a9347274158b1b741a8ff706af4182534a1a1806815c04a14099b88605f","target":"graph","created_at":"2026-07-05T12:04:05Z","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/2509.03173/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Coronary artery disease is a leading cause of mortality, underscoring the critical importance of precise diagnosis through X-ray angiography. Manual coronary artery segmentation from these images is time-consuming and inefficient, prompting the development of automated models. However, existing methods, whether rule-based or deep learning models, struggle with issues like poor performance and limited generalizability. Moreover, current knowledge distillation methods applied in this field have not fully exploited the hierarchical knowledge of the model, leading to certain information waste and ","authors_text":"Mingfeng Lin","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-09-03T09:44:11Z","title":"Deep Self-knowledge Distillation: A hierarchical supervised learning for coronary artery segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.03173","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:aa6b2a052b0ed66a9012acba48fca1b16d543a7936ea13dcf6cb24397b1f5731","target":"record","created_at":"2026-07-05T12:04:05Z","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":"dd57b4a63f1ec41ba6b7b6486419e0f5dc2e4aad73f98832a9a5e0bf90d7c1c9","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2025-09-03T09:44:11Z","title_canon_sha256":"3d3030ef643839e2165212282aa3274db7736fd35f2b63a04aa7defd6c4c1192"},"schema_version":"1.0","source":{"id":"2509.03173","kind":"arxiv","version":1}},"canonical_sha256":"929d03310a7454972a68b700a823957f13f3e37fade57bd70862542b247ac8f2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"929d03310a7454972a68b700a823957f13f3e37fade57bd70862542b247ac8f2","first_computed_at":"2026-07-05T12:04:05.526885Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:04:05.526885Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iKgw7/jN9RkELKJHLxhChOdxc59Rl8ZIREG7hMC9HrEllwXDB8xWiSpwbYnesx5ADE7n+BV/GlxZZXEQCMNsCg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:04:05.527473Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.03173","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa6b2a052b0ed66a9012acba48fca1b16d543a7936ea13dcf6cb24397b1f5731","sha256:6a362a9347274158b1b741a8ff706af4182534a1a1806815c04a14099b88605f"],"state_sha256":"a38bde5bfbd0642f4ecd9b1b476e1f3ae10be314fdcd2a5b98fc4248312d8ba0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MfTkLQPkdjdsHX9hO2KV78rl5+loohqEblAYv84wvsQnkYnc1GGSA4BQo/0UKnatfh0lBSE5JCwEjrG8qy2YAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T23:44:23.145613Z","bundle_sha256":"8eaaae7cab9b29ef0a5c66d605951672d36eb72b64459e10d1171779ad204629"}}