{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:4EAJVFFTQJVRXXOJ6KQLSJ7I6B","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":"0a06e89f4bc4e8cf133dd212bd3d9e6136971d2d23602f7842ece06288662f93","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-03-22T14:42:02Z","title_canon_sha256":"eb011ff4dc2e2189b41d28119b2f4d18f05a521defd22439fec7f379c38466b1"},"schema_version":"1.0","source":{"id":"2103.11895","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.11895","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"arxiv_version","alias_value":"2103.11895v2","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.11895","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"pith_short_12","alias_value":"4EAJVFFTQJVR","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"pith_short_16","alias_value":"4EAJVFFTQJVRXXOJ","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"pith_short_8","alias_value":"4EAJVFFT","created_at":"2026-07-05T03:20:01Z"}],"graph_snapshots":[{"event_id":"sha256:f2e1fc44a835cafe89d206668f6b50ff892d671366fa4a4b11c6cf54b6201fdf","target":"graph","created_at":"2026-07-05T03:20:01Z","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/2103.11895/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Although unprecedented sensitivity and specificity values are reported, recent glaucoma detection deep learning models lack in decision transparency. Here, we propose a methodology that advances explainable deep learning in the field of glaucoma detection and vertical cup-disc ratio (VCDR), an important risk factor. We trained and evaluated deep learning models using fundus images that underwent a certain cropping policy. We defined the crop radius as a percentage of image size, centered on the optic nerve head (ONH), with an equidistant spaced range from 10%-60% (ONH crop policy). The inverse","authors_text":"Bart Elen, Ingeborg Stalmans, Jo\\~ao Barbosa-Breda, Matthew B. Blaschko, Patrick De Boever, Ruben Hemelings","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-03-22T14:42:02Z","title":"Deep learning on fundus images detects glaucoma beyond the optic disc"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.11895","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":"sha256:6b82208020de8742a8d670d4c8394d3111b1152206d85161457cdb8d2a3cf191","target":"record","created_at":"2026-07-05T03:20:01Z","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":"0a06e89f4bc4e8cf133dd212bd3d9e6136971d2d23602f7842ece06288662f93","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.IV","submitted_at":"2021-03-22T14:42:02Z","title_canon_sha256":"eb011ff4dc2e2189b41d28119b2f4d18f05a521defd22439fec7f379c38466b1"},"schema_version":"1.0","source":{"id":"2103.11895","kind":"arxiv","version":2}},"canonical_sha256":"e1009a94b3826b1bddc9f2a0b927e8f0526a4680c3a05ca789dfff5a5319d244","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e1009a94b3826b1bddc9f2a0b927e8f0526a4680c3a05ca789dfff5a5319d244","first_computed_at":"2026-07-05T03:20:01.359154Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:20:01.359154Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xbQR2BucsmIJhJ8nf3IAPKakee1YYYhVrHOpCOPTszi72/iqGnMp5tn7lZNY3F5IpbTzRvBtapcJmNazWS4VCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:20:01.359688Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.11895","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b82208020de8742a8d670d4c8394d3111b1152206d85161457cdb8d2a3cf191","sha256:f2e1fc44a835cafe89d206668f6b50ff892d671366fa4a4b11c6cf54b6201fdf"],"state_sha256":"7d24f6b9e19648fe87680243fc7b779552c37e5d20f36ac24dc5f6f914899db7"}