{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:EGF425CI7JXHJ3TKTU5IE6JFLD","short_pith_number":"pith:EGF425CI","canonical_record":{"source":{"id":"2311.07609","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.QM","submitted_at":"2023-11-11T13:09:11Z","cross_cats_sorted":["cs.CV","eess.IV","physics.med-ph"],"title_canon_sha256":"dec663254d1b23fa174a6dc45ea539b8b6540360e4ba6ef2c5ee5def40e6079e","abstract_canon_sha256":"14651a9e3e9e13e009c4c85ade1aacbfff9c30586ff479bed1d4da4af650d297"},"schema_version":"1.0"},"canonical_sha256":"218bcd7448fa6e74ee6a9d3a82792558d649fd0d7a13a086e5aa9799dde501b4","source":{"kind":"arxiv","id":"2311.07609","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.07609","created_at":"2026-07-05T09:17:34Z"},{"alias_kind":"arxiv_version","alias_value":"2311.07609v2","created_at":"2026-07-05T09:17:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.07609","created_at":"2026-07-05T09:17:34Z"},{"alias_kind":"pith_short_12","alias_value":"EGF425CI7JXH","created_at":"2026-07-05T09:17:34Z"},{"alias_kind":"pith_short_16","alias_value":"EGF425CI7JXHJ3TK","created_at":"2026-07-05T09:17:34Z"},{"alias_kind":"pith_short_8","alias_value":"EGF425CI","created_at":"2026-07-05T09:17:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:EGF425CI7JXHJ3TKTU5IE6JFLD","target":"record","payload":{"canonical_record":{"source":{"id":"2311.07609","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.QM","submitted_at":"2023-11-11T13:09:11Z","cross_cats_sorted":["cs.CV","eess.IV","physics.med-ph"],"title_canon_sha256":"dec663254d1b23fa174a6dc45ea539b8b6540360e4ba6ef2c5ee5def40e6079e","abstract_canon_sha256":"14651a9e3e9e13e009c4c85ade1aacbfff9c30586ff479bed1d4da4af650d297"},"schema_version":"1.0"},"canonical_sha256":"218bcd7448fa6e74ee6a9d3a82792558d649fd0d7a13a086e5aa9799dde501b4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:17:34.704250Z","signature_b64":"gDxGTJspo/10pjVAmE+24yUg/Da6xFDRhqI62Gw66KvlJsh7rcytZc6Qccn+UQcjTKbJ09lem1NumU4A8iBTAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"218bcd7448fa6e74ee6a9d3a82792558d649fd0d7a13a086e5aa9799dde501b4","last_reissued_at":"2026-07-05T09:17:34.703782Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:17:34.703782Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.07609","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:17:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uZ3qDJo+iMz+cnRAvei7adLXCSk4OasRrb9hWaPwn2PViD9L6DBQ9X89nZIhl+CvuNdQvdtl6ulAMwmstuWqCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T19:37:05.885698Z"},"content_sha256":"cf1b59dd340ed0b5a6246d200cffc0b20a88e6548b425bc0c976061202eb9a1e","schema_version":"1.0","event_id":"sha256:cf1b59dd340ed0b5a6246d200cffc0b20a88e6548b425bc0c976061202eb9a1e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:EGF425CI7JXHJ3TKTU5IE6JFLD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Artificial Intelligence in Assessing Cardiovascular Diseases and Risk Factors via Retinal Fundus Images: A Review of the Last Decade","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV","eess.IV","physics.med-ph"],"primary_cat":"q-bio.QM","authors_text":"Ali Jafarizadeh, Amirhosein Ghafouri Asbagh, Houshyar Asadi, Keysan Pourmoghtader, Mirsaeed Abdollahi, Navid Sobhi, Roohallah Alizadehsani, Ru-San Tan, Siamak Pedrammehr, U. Rajendra Acharya","submitted_at":"2023-11-11T13:09:11Z","abstract_excerpt":"Background: Cardiovascular diseases (CVDs) are the leading cause of death globally. The use of artificial intelligence (AI) methods - in particular, deep learning (DL) - has been on the rise lately for the analysis of different CVD-related topics. The use of fundus images and optical coherence tomography angiography (OCTA) in the diagnosis of retinal diseases has also been extensively studied. To better understand heart function and anticipate changes based on microvascular characteristics and function, researchers are currently exploring the integration of AI with non-invasive retinal scannin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.07609","kind":"arxiv","version":2},"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/2311.07609/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":"2026-07-05T09:17:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y44U21xmoLI7A2qC9tbw6M5XSjQQzG51zB9hqQuo6Zb/KuCxf/SCCOOZciQOkcAcmUhdu+K9Juju4jNhOW2BBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T19:37:05.885994Z"},"content_sha256":"997a24cd4b3151bf7688b8cceb6036d415bb022db02ecbc0c45608e10ccae076","schema_version":"1.0","event_id":"sha256:997a24cd4b3151bf7688b8cceb6036d415bb022db02ecbc0c45608e10ccae076"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EGF425CI7JXHJ3TKTU5IE6JFLD/bundle.json","state_url":"https://pith.science/pith/EGF425CI7JXHJ3TKTU5IE6JFLD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EGF425CI7JXHJ3TKTU5IE6JFLD/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":"2026-07-31T19:37:05Z","links":{"resolver":"https://pith.science/pith/EGF425CI7JXHJ3TKTU5IE6JFLD","bundle":"https://pith.science/pith/EGF425CI7JXHJ3TKTU5IE6JFLD/bundle.json","state":"https://pith.science/pith/EGF425CI7JXHJ3TKTU5IE6JFLD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EGF425CI7JXHJ3TKTU5IE6JFLD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EGF425CI7JXHJ3TKTU5IE6JFLD","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":"14651a9e3e9e13e009c4c85ade1aacbfff9c30586ff479bed1d4da4af650d297","cross_cats_sorted":["cs.CV","eess.IV","physics.med-ph"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.QM","submitted_at":"2023-11-11T13:09:11Z","title_canon_sha256":"dec663254d1b23fa174a6dc45ea539b8b6540360e4ba6ef2c5ee5def40e6079e"},"schema_version":"1.0","source":{"id":"2311.07609","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.07609","created_at":"2026-07-05T09:17:34Z"},{"alias_kind":"arxiv_version","alias_value":"2311.07609v2","created_at":"2026-07-05T09:17:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.07609","created_at":"2026-07-05T09:17:34Z"},{"alias_kind":"pith_short_12","alias_value":"EGF425CI7JXH","created_at":"2026-07-05T09:17:34Z"},{"alias_kind":"pith_short_16","alias_value":"EGF425CI7JXHJ3TK","created_at":"2026-07-05T09:17:34Z"},{"alias_kind":"pith_short_8","alias_value":"EGF425CI","created_at":"2026-07-05T09:17:34Z"}],"graph_snapshots":[{"event_id":"sha256:997a24cd4b3151bf7688b8cceb6036d415bb022db02ecbc0c45608e10ccae076","target":"graph","created_at":"2026-07-05T09:17:34Z","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/2311.07609/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Background: Cardiovascular diseases (CVDs) are the leading cause of death globally. The use of artificial intelligence (AI) methods - in particular, deep learning (DL) - has been on the rise lately for the analysis of different CVD-related topics. The use of fundus images and optical coherence tomography angiography (OCTA) in the diagnosis of retinal diseases has also been extensively studied. To better understand heart function and anticipate changes based on microvascular characteristics and function, researchers are currently exploring the integration of AI with non-invasive retinal scannin","authors_text":"Ali Jafarizadeh, Amirhosein Ghafouri Asbagh, Houshyar Asadi, Keysan Pourmoghtader, Mirsaeed Abdollahi, Navid Sobhi, Roohallah Alizadehsani, Ru-San Tan, Siamak Pedrammehr, U. Rajendra Acharya","cross_cats":["cs.CV","eess.IV","physics.med-ph"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.QM","submitted_at":"2023-11-11T13:09:11Z","title":"Artificial Intelligence in Assessing Cardiovascular Diseases and Risk Factors via Retinal Fundus Images: A Review of the Last Decade"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.07609","kind":"arxiv","version":2},"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:cf1b59dd340ed0b5a6246d200cffc0b20a88e6548b425bc0c976061202eb9a1e","target":"record","created_at":"2026-07-05T09:17:34Z","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":"14651a9e3e9e13e009c4c85ade1aacbfff9c30586ff479bed1d4da4af650d297","cross_cats_sorted":["cs.CV","eess.IV","physics.med-ph"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"q-bio.QM","submitted_at":"2023-11-11T13:09:11Z","title_canon_sha256":"dec663254d1b23fa174a6dc45ea539b8b6540360e4ba6ef2c5ee5def40e6079e"},"schema_version":"1.0","source":{"id":"2311.07609","kind":"arxiv","version":2}},"canonical_sha256":"218bcd7448fa6e74ee6a9d3a82792558d649fd0d7a13a086e5aa9799dde501b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"218bcd7448fa6e74ee6a9d3a82792558d649fd0d7a13a086e5aa9799dde501b4","first_computed_at":"2026-07-05T09:17:34.703782Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:17:34.703782Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gDxGTJspo/10pjVAmE+24yUg/Da6xFDRhqI62Gw66KvlJsh7rcytZc6Qccn+UQcjTKbJ09lem1NumU4A8iBTAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:17:34.704250Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.07609","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf1b59dd340ed0b5a6246d200cffc0b20a88e6548b425bc0c976061202eb9a1e","sha256:997a24cd4b3151bf7688b8cceb6036d415bb022db02ecbc0c45608e10ccae076"],"state_sha256":"5e96a183e566c240dab5e61d9e834c395f5ae6129e50c2c08e1dfdacb925817e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X6OXUiTsYDY27fv9BHAt8dMK8VcxdL/G+ARWbe3QRKzywWC5SSZ5VVonSGwTghc25kF/d9e5Cg9wyQL5yZBDDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T19:37:05.888155Z","bundle_sha256":"5f1b8ea16edc512c389fe89fb52edc31392d4163b8f67461ea3d5c8c9e64b00f"}}