{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:3BXRNATTEDT5X5Y5UZIPRWK3YH","short_pith_number":"pith:3BXRNATT","canonical_record":{"source":{"id":"1909.00331","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2019-09-01T06:27:05Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"a791c7a8e3e3e1350ba76d412164ed41605298b3666d76e89ac7539a841d9507","abstract_canon_sha256":"3fcd6085fbc2d4dc5e9359ca9ef9cb2b3575f2ce42d512c587428a93e245f368"},"schema_version":"1.0"},"canonical_sha256":"d86f16827320e7dbf71da650f8d95bc1c52eb8dac196bebc730a3265889aaed9","source":{"kind":"arxiv","id":"1909.00331","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.00331","created_at":"2026-07-05T00:01:08Z"},{"alias_kind":"arxiv_version","alias_value":"1909.00331v1","created_at":"2026-07-05T00:01:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.00331","created_at":"2026-07-05T00:01:08Z"},{"alias_kind":"pith_short_12","alias_value":"3BXRNATTEDT5","created_at":"2026-07-05T00:01:08Z"},{"alias_kind":"pith_short_16","alias_value":"3BXRNATTEDT5X5Y5","created_at":"2026-07-05T00:01:08Z"},{"alias_kind":"pith_short_8","alias_value":"3BXRNATT","created_at":"2026-07-05T00:01:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:3BXRNATTEDT5X5Y5UZIPRWK3YH","target":"record","payload":{"canonical_record":{"source":{"id":"1909.00331","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2019-09-01T06:27:05Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"a791c7a8e3e3e1350ba76d412164ed41605298b3666d76e89ac7539a841d9507","abstract_canon_sha256":"3fcd6085fbc2d4dc5e9359ca9ef9cb2b3575f2ce42d512c587428a93e245f368"},"schema_version":"1.0"},"canonical_sha256":"d86f16827320e7dbf71da650f8d95bc1c52eb8dac196bebc730a3265889aaed9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:01:08.019523Z","signature_b64":"CfcQZ6ouGGwlQDXtlgeOIrxfLysSjetxJ56A+pDUfYuHOn4P2tB6JAhxnIwQlcuKlHtyKAGLidkvNN2I3d9xAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d86f16827320e7dbf71da650f8d95bc1c52eb8dac196bebc730a3265889aaed9","last_reissued_at":"2026-07-05T00:01:08.019129Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:01:08.019129Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.00331","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":"2026-07-05T00:01:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KUCVSWthvmNMs9bKWba56DP7Ri3uiUaHLVjZeqPzm1m6lI4G0LR/e5j55vnMqUlJxzc3BF8XPg6OzYwtVYUiBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T05:41:38.900280Z"},"content_sha256":"18213345f2018e9785064fd1d21b536fc4696d301e5bdf13a6f9c91d4f21f98f","schema_version":"1.0","event_id":"sha256:18213345f2018e9785064fd1d21b536fc4696d301e5bdf13a6f9c91d4f21f98f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:3BXRNATTEDT5X5Y5UZIPRWK3YH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.IV","authors_text":"Alexandre H. Thiery, Aloysius Ang, Ching-Yu Cheng, Craig Boote, Michael J. A. Girard, Soh Zhi Da, Sripad Krishna Devalla, Tan Hung Pham, Victor Koh","submitted_at":"2019-09-01T06:27:05Z","abstract_excerpt":"Accurate isolation and quantification of intraocular dimensions in the anterior segment (AS) of the eye using optical coherence tomography (OCT) images is important in the diagnosis and treatment of many eye diseases, especially angle closure glaucoma. In this study, we developed a deep convolutional neural network (DCNN) for the localization of the scleral spur, and the segmentation of anterior segment structures (iris, corneo-sclera shell, anterior chamber). With limited training data, the DCNN was able to detect the scleral spur on unseen ASOCT images as accurately as an experienced ophthal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.00331","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/1909.00331/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":"2026-07-05T00:01:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FEfBupyhSS/eXZ+bwV0IkXQleo+hPAfgc/pf9Dz+g2VWHR4azKIQc3/TzRnEzOk9JXZ+nuvmVHoy+juu9oCpBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T05:41:38.900881Z"},"content_sha256":"5bd572d94f2f7c39e34fa9416ad3ef70bd9cb01e013def29e75bc486ca378c99","schema_version":"1.0","event_id":"sha256:5bd572d94f2f7c39e34fa9416ad3ef70bd9cb01e013def29e75bc486ca378c99"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3BXRNATTEDT5X5Y5UZIPRWK3YH/bundle.json","state_url":"https://pith.science/pith/3BXRNATTEDT5X5Y5UZIPRWK3YH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3BXRNATTEDT5X5Y5UZIPRWK3YH/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":"2026-08-01T05:41:38Z","links":{"resolver":"https://pith.science/pith/3BXRNATTEDT5X5Y5UZIPRWK3YH","bundle":"https://pith.science/pith/3BXRNATTEDT5X5Y5UZIPRWK3YH/bundle.json","state":"https://pith.science/pith/3BXRNATTEDT5X5Y5UZIPRWK3YH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3BXRNATTEDT5X5Y5UZIPRWK3YH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:3BXRNATTEDT5X5Y5UZIPRWK3YH","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":"3fcd6085fbc2d4dc5e9359ca9ef9cb2b3575f2ce42d512c587428a93e245f368","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2019-09-01T06:27:05Z","title_canon_sha256":"a791c7a8e3e3e1350ba76d412164ed41605298b3666d76e89ac7539a841d9507"},"schema_version":"1.0","source":{"id":"1909.00331","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.00331","created_at":"2026-07-05T00:01:08Z"},{"alias_kind":"arxiv_version","alias_value":"1909.00331v1","created_at":"2026-07-05T00:01:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.00331","created_at":"2026-07-05T00:01:08Z"},{"alias_kind":"pith_short_12","alias_value":"3BXRNATTEDT5","created_at":"2026-07-05T00:01:08Z"},{"alias_kind":"pith_short_16","alias_value":"3BXRNATTEDT5X5Y5","created_at":"2026-07-05T00:01:08Z"},{"alias_kind":"pith_short_8","alias_value":"3BXRNATT","created_at":"2026-07-05T00:01:08Z"}],"graph_snapshots":[{"event_id":"sha256:5bd572d94f2f7c39e34fa9416ad3ef70bd9cb01e013def29e75bc486ca378c99","target":"graph","created_at":"2026-07-05T00:01:08Z","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/1909.00331/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate isolation and quantification of intraocular dimensions in the anterior segment (AS) of the eye using optical coherence tomography (OCT) images is important in the diagnosis and treatment of many eye diseases, especially angle closure glaucoma. In this study, we developed a deep convolutional neural network (DCNN) for the localization of the scleral spur, and the segmentation of anterior segment structures (iris, corneo-sclera shell, anterior chamber). With limited training data, the DCNN was able to detect the scleral spur on unseen ASOCT images as accurately as an experienced ophthal","authors_text":"Alexandre H. Thiery, Aloysius Ang, Ching-Yu Cheng, Craig Boote, Michael J. A. Girard, Soh Zhi Da, Sripad Krishna Devalla, Tan Hung Pham, Victor Koh","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2019-09-01T06:27:05Z","title":"Deep Learning Algorithms to Isolate and Quantify the Structures of the Anterior Segment in Optical Coherence Tomography Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.00331","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":"sha256:18213345f2018e9785064fd1d21b536fc4696d301e5bdf13a6f9c91d4f21f98f","target":"record","created_at":"2026-07-05T00:01:08Z","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":"3fcd6085fbc2d4dc5e9359ca9ef9cb2b3575f2ce42d512c587428a93e245f368","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2019-09-01T06:27:05Z","title_canon_sha256":"a791c7a8e3e3e1350ba76d412164ed41605298b3666d76e89ac7539a841d9507"},"schema_version":"1.0","source":{"id":"1909.00331","kind":"arxiv","version":1}},"canonical_sha256":"d86f16827320e7dbf71da650f8d95bc1c52eb8dac196bebc730a3265889aaed9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d86f16827320e7dbf71da650f8d95bc1c52eb8dac196bebc730a3265889aaed9","first_computed_at":"2026-07-05T00:01:08.019129Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:01:08.019129Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CfcQZ6ouGGwlQDXtlgeOIrxfLysSjetxJ56A+pDUfYuHOn4P2tB6JAhxnIwQlcuKlHtyKAGLidkvNN2I3d9xAA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:01:08.019523Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.00331","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:18213345f2018e9785064fd1d21b536fc4696d301e5bdf13a6f9c91d4f21f98f","sha256:5bd572d94f2f7c39e34fa9416ad3ef70bd9cb01e013def29e75bc486ca378c99"],"state_sha256":"9ff64dfe984141a9a2506eaa3b9d170721df83e3b8a6c5b96e878b9b97f8f957"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nNJrmuoBmV9CwEAvVV6O3/qXagNkXOxSD/8tnbups0ftYFUdX9XPiHwYaS77zWiPmfuL7EiHptcVKhgPr8LsDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T05:41:38.906308Z","bundle_sha256":"7b6de2b34b19293355d621ae6f26af7f7b44ea439ad2771b01c88b039c1b528c"}}