{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:ZGH4456OF3Q4QCETE2UPSIN4BY","short_pith_number":"pith:ZGH4456O","canonical_record":{"source":{"id":"2605.20458","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T20:12:13Z","cross_cats_sorted":[],"title_canon_sha256":"05bc5562d1b48965c1c18bd43514418e78e0c9b9e90f6a833594efc8ccebc7c3","abstract_canon_sha256":"9b50e189c3b3a98aea90f89c6142e41aca42d66350c828c100e7d321155943a9"},"schema_version":"1.0"},"canonical_sha256":"c98fce77ce2ee1c8089326a8f921bc0e3a7b231e8e4e3fd4ae310bc85089cb33","source":{"kind":"arxiv","id":"2605.20458","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20458","created_at":"2026-05-21T01:04:38Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20458v1","created_at":"2026-05-21T01:04:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20458","created_at":"2026-05-21T01:04:38Z"},{"alias_kind":"pith_short_12","alias_value":"ZGH4456OF3Q4","created_at":"2026-05-21T01:04:38Z"},{"alias_kind":"pith_short_16","alias_value":"ZGH4456OF3Q4QCET","created_at":"2026-05-21T01:04:38Z"},{"alias_kind":"pith_short_8","alias_value":"ZGH4456O","created_at":"2026-05-21T01:04:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:ZGH4456OF3Q4QCETE2UPSIN4BY","target":"record","payload":{"canonical_record":{"source":{"id":"2605.20458","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T20:12:13Z","cross_cats_sorted":[],"title_canon_sha256":"05bc5562d1b48965c1c18bd43514418e78e0c9b9e90f6a833594efc8ccebc7c3","abstract_canon_sha256":"9b50e189c3b3a98aea90f89c6142e41aca42d66350c828c100e7d321155943a9"},"schema_version":"1.0"},"canonical_sha256":"c98fce77ce2ee1c8089326a8f921bc0e3a7b231e8e4e3fd4ae310bc85089cb33","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-21T01:04:38.595010Z","signature_b64":"sMW9Z3N/0SUF8xBVIe2OpuDncPW9wUxoLrT2saxMUQvNB9IxDnUPFI12UPmvbvVUuIu1usEmybZROLb1RurkBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c98fce77ce2ee1c8089326a8f921bc0e3a7b231e8e4e3fd4ae310bc85089cb33","last_reissued_at":"2026-05-21T01:04:38.594548Z","signature_status":"signed_v1","first_computed_at":"2026-05-21T01:04:38.594548Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.20458","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":"2026-05-21T01:04:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wXudzuiUrV4PGjerO5FN4QqJo/DDEkI/dH2D2focD4TmvpaFJL97ici58exBEdiPMCba0Y5eJXLAy+1ICXeTBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:31:01.003256Z"},"content_sha256":"869ca82056cc2b847965876ff0397cd87cf2ee80863b1bd1e8548ed4f317a1e4","schema_version":"1.0","event_id":"sha256:869ca82056cc2b847965876ff0397cd87cf2ee80863b1bd1e8548ed4f317a1e4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:ZGH4456OF3Q4QCETE2UPSIN4BY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aura Conci, Erick O. Rodrigues, Panos Liatsis","submitted_at":"2026-05-19T20:12:13Z","abstract_excerpt":"Vascular structures in the retina contain important information for the detection and analysis of ocular diseases, including age-related macular degeneration, diabetic retinopathy and glaucoma. Commonly used modalities in diagnosis of these diseases are fundus photography, scanning laser ophthalmoscope (SLO) and fluorescein angiography (FA). Typically, retinal vessel segmentation is carried out either manually or interactively, which makes it time consuming and prone to human errors. In this research, we propose a new multi-modal framework for vessel segmentation called ELEMENT (vEsseL sEgment"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20458","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/2605.20458/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":"2026-05-21T01:04:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s2lWBSfiYB2wQsLZD5ChpX2ImE+7k9/ODWhsIVHD83fv7f4/PcCWmwBFJ506TlG8DpSQ2zvDEE8Idr8uIEfcBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:31:01.003807Z"},"content_sha256":"0b7c6622187f27cb80ed05dc0b8ac3f226149cdc7e2e051255b008289e1aed87","schema_version":"1.0","event_id":"sha256:0b7c6622187f27cb80ed05dc0b8ac3f226149cdc7e2e051255b008289e1aed87"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:ZGH4456OF3Q4QCETE2UPSIN4BY","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1371/joumalpone.0122332) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"[Online]. Available: hitps://www.sciencedirect.com/sciencefarticle/ abs/pii/S 1361841519300982 [61] [62] [63] [67] [68] [69] [70] 7 m) 1) [74] [75] [76] mm [78] 791 A.D. Hoover, V. Kouznetsova, and M. Goldbaum, “Locating blood vessels in re","arxiv_id":"2605.20458","detector":"doi_compliance","evidence":{"ref_index":4,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"[Online]. Available: hitps://www.sciencedirect.com/sciencefarticle/ abs/pii/S 1361841519300982 [61] [62] [63] [67] [68] [69] [70] 7 m) 1) [74] [75] [76] mm [78] 791 A.D. Hoover, V. Kouznetsova, and M. Goldbaum, “Locating blood vessels in re","reconstructed_doi":"10.1371/joumalpone.0122332"},"severity":"advisory","ref_index":4,"audited_at":"2026-05-21T06:54:06.269399Z","event_type":"pith.integrity.v1","detected_doi":"10.1371/joumalpone.0122332","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"1a2ec8e958000dfbc67d53ccccad98d9fd15c64f96c1c0757213e9cbb3e07fc1","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":5850,"payload_sha256":"d06a1b8caa018ad709efd6f7134cb4b67f6cf6e2c28e7bbbd4e1268eb168aea0","signature_b64":"x4575vS73JTMR/9t3DkPGrSosrQn3TEkvNvvBOQa8nCPpvp7aBhQXDGYJRYjFi6n3SHSYu2pZUE2etzFpY2zAQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-21T06:54:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZvwhNQRCq4oCYds4UBvw+AV+p9tON781XDDDuz6P8mpdZ9AW8JbXQcijq7KsKtYvWte3shjKdmi0oGi7VnuFAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:31:01.005415Z"},"content_sha256":"7d998b2757bafa500e32ea5921e9a6b464af7bcf27943f43562fc7422efa764a","schema_version":"1.0","event_id":"sha256:7d998b2757bafa500e32ea5921e9a6b464af7bcf27943f43562fc7422efa764a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZGH4456OF3Q4QCETE2UPSIN4BY/bundle.json","state_url":"https://pith.science/pith/ZGH4456OF3Q4QCETE2UPSIN4BY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZGH4456OF3Q4QCETE2UPSIN4BY/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":"2026-05-25T21:31:01Z","links":{"resolver":"https://pith.science/pith/ZGH4456OF3Q4QCETE2UPSIN4BY","bundle":"https://pith.science/pith/ZGH4456OF3Q4QCETE2UPSIN4BY/bundle.json","state":"https://pith.science/pith/ZGH4456OF3Q4QCETE2UPSIN4BY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZGH4456OF3Q4QCETE2UPSIN4BY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ZGH4456OF3Q4QCETE2UPSIN4BY","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"9b50e189c3b3a98aea90f89c6142e41aca42d66350c828c100e7d321155943a9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T20:12:13Z","title_canon_sha256":"05bc5562d1b48965c1c18bd43514418e78e0c9b9e90f6a833594efc8ccebc7c3"},"schema_version":"1.0","source":{"id":"2605.20458","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20458","created_at":"2026-05-21T01:04:38Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20458v1","created_at":"2026-05-21T01:04:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20458","created_at":"2026-05-21T01:04:38Z"},{"alias_kind":"pith_short_12","alias_value":"ZGH4456OF3Q4","created_at":"2026-05-21T01:04:38Z"},{"alias_kind":"pith_short_16","alias_value":"ZGH4456OF3Q4QCET","created_at":"2026-05-21T01:04:38Z"},{"alias_kind":"pith_short_8","alias_value":"ZGH4456O","created_at":"2026-05-21T01:04:38Z"}],"graph_snapshots":[{"event_id":"sha256:0b7c6622187f27cb80ed05dc0b8ac3f226149cdc7e2e051255b008289e1aed87","target":"graph","created_at":"2026-05-21T01:04:38Z","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/2605.20458/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vascular structures in the retina contain important information for the detection and analysis of ocular diseases, including age-related macular degeneration, diabetic retinopathy and glaucoma. Commonly used modalities in diagnosis of these diseases are fundus photography, scanning laser ophthalmoscope (SLO) and fluorescein angiography (FA). Typically, retinal vessel segmentation is carried out either manually or interactively, which makes it time consuming and prone to human errors. In this research, we propose a new multi-modal framework for vessel segmentation called ELEMENT (vEsseL sEgment","authors_text":"Aura Conci, Erick O. Rodrigues, Panos Liatsis","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T20:12:13Z","title":"ELEMENT: Multi-Modal Retinal Vessel Segmentation Based on a Coupled Region Growing and Machine Learning Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20458","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":"sha256:869ca82056cc2b847965876ff0397cd87cf2ee80863b1bd1e8548ed4f317a1e4","target":"record","created_at":"2026-05-21T01:04:38Z","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":"9b50e189c3b3a98aea90f89c6142e41aca42d66350c828c100e7d321155943a9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-19T20:12:13Z","title_canon_sha256":"05bc5562d1b48965c1c18bd43514418e78e0c9b9e90f6a833594efc8ccebc7c3"},"schema_version":"1.0","source":{"id":"2605.20458","kind":"arxiv","version":1}},"canonical_sha256":"c98fce77ce2ee1c8089326a8f921bc0e3a7b231e8e4e3fd4ae310bc85089cb33","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c98fce77ce2ee1c8089326a8f921bc0e3a7b231e8e4e3fd4ae310bc85089cb33","first_computed_at":"2026-05-21T01:04:38.594548Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T01:04:38.594548Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sMW9Z3N/0SUF8xBVIe2OpuDncPW9wUxoLrT2saxMUQvNB9IxDnUPFI12UPmvbvVUuIu1usEmybZROLb1RurkBQ==","signature_status":"signed_v1","signed_at":"2026-05-21T01:04:38.595010Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.20458","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:869ca82056cc2b847965876ff0397cd87cf2ee80863b1bd1e8548ed4f317a1e4","sha256:0b7c6622187f27cb80ed05dc0b8ac3f226149cdc7e2e051255b008289e1aed87","sha256:7d998b2757bafa500e32ea5921e9a6b464af7bcf27943f43562fc7422efa764a"],"state_sha256":"8dc5719ce0fa399a276a0292b8342a1e67ec04a80712c304191b6f0267fc31b9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pg6wHMpivw2p+rkkUi9w2Ejt0D3pf53IjHzI7vKQM1c/2FYSGnmzmll7jGvcHMAeTSPFl2W98eSgzzbBy0LmAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T21:31:01.009381Z","bundle_sha256":"71a4d5731a3f023b5cc2dc06ba74ffff3824468fa33b6a3dc313a0b175446b5f"}}