{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:XPHDEE6U2GLQBFEHH6XU6QMPWW","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":"888cf3c2815bd8ac89be920b0b40900b42bbb8bf623400d673d867289447fbc4","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-06-07T15:12:38Z","title_canon_sha256":"691d4c1f4a9a08c438a7e7c160049fc5ac0065b68ffeea006387f245870d91cc"},"schema_version":"1.0","source":{"id":"1906.03153","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.03153","created_at":"2026-05-17T23:43:54Z"},{"alias_kind":"arxiv_version","alias_value":"1906.03153v1","created_at":"2026-05-17T23:43:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.03153","created_at":"2026-05-17T23:43:54Z"},{"alias_kind":"pith_short_12","alias_value":"XPHDEE6U2GLQ","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"XPHDEE6U2GLQBFEH","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"XPHDEE6U","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:c64212a834648fb3827810bcba59aba86fc5b30926c15cce51e9cfb86a8ec736","target":"graph","created_at":"2026-05-17T23:43:54Z","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"},"paper":{"abstract_excerpt":"Purpose: To assess the utility of deep learning in the detection of geographic atrophy (GA) from color fundus photographs; secondary aim to explore potential utility in detecting central GA (CGA). Design: A deep learning model was developed to detect the presence of GA in color fundus photographs, and two additional models to detect CGA in different scenarios. Participants: 59,812 color fundus photographs from longitudinal follow up of 4,582 participants in the AREDS dataset. Gold standard labels were from human expert reading center graders using a standardized protocol. Methods: A deep learn","authors_text":"Elvira Agr\\'on, Emily Y. Chew, Qingyu Chen, Shazia Dharssi, Tiarnan D. Keenan, Wai T. Wong, Yifan Peng, Zhiyong Lu","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-06-07T15:12:38Z","title":"A deep learning approach for automated detection of geographic atrophy from color fundus photographs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.03153","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:ec72b922bcc91803e0b62a0b49660ee21837976296dbcbbc5c1cc57c2ebf8ec7","target":"record","created_at":"2026-05-17T23:43:54Z","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":"888cf3c2815bd8ac89be920b0b40900b42bbb8bf623400d673d867289447fbc4","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2019-06-07T15:12:38Z","title_canon_sha256":"691d4c1f4a9a08c438a7e7c160049fc5ac0065b68ffeea006387f245870d91cc"},"schema_version":"1.0","source":{"id":"1906.03153","kind":"arxiv","version":1}},"canonical_sha256":"bbce3213d4d1970094873faf4f418fb59aa2179f7bd688db88a6d4e8dea156c4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bbce3213d4d1970094873faf4f418fb59aa2179f7bd688db88a6d4e8dea156c4","first_computed_at":"2026-05-17T23:43:54.838169Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:54.838169Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sshkQwZeMYo+laXHyDh3dAH6cyo7KaUHCaS5PDed4Vm0EdjXd5ciz7rVhonD5Cni4gqGArCaV1RESw+K6rtHAQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:54.838786Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.03153","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec72b922bcc91803e0b62a0b49660ee21837976296dbcbbc5c1cc57c2ebf8ec7","sha256:c64212a834648fb3827810bcba59aba86fc5b30926c15cce51e9cfb86a8ec736"],"state_sha256":"3906484b3cb8667fd35da093ecc29c5df10b8e4ff1ff8251e030edbece704c83"}