{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DAWXS342ZSX2RKX73X6GPTDFBU","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":"30804bb8cb0487842f1a3cbba17021c6ba7d82740032ebe745a14c242d0f9fe4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-24T13:51:48Z","title_canon_sha256":"0045dddf787108f81dfa5915df1bed45408d4db0d81c2613bb90864f9b5c3efd"},"schema_version":"1.0","source":{"id":"2305.15154","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.15154","created_at":"2026-07-05T06:13:32Z"},{"alias_kind":"arxiv_version","alias_value":"2305.15154v1","created_at":"2026-07-05T06:13:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.15154","created_at":"2026-07-05T06:13:32Z"},{"alias_kind":"pith_short_12","alias_value":"DAWXS342ZSX2","created_at":"2026-07-05T06:13:32Z"},{"alias_kind":"pith_short_16","alias_value":"DAWXS342ZSX2RKX7","created_at":"2026-07-05T06:13:32Z"},{"alias_kind":"pith_short_8","alias_value":"DAWXS342","created_at":"2026-07-05T06:13:32Z"}],"graph_snapshots":[{"event_id":"sha256:d2aae9168068461373645c4615a4b2296f90ed6a5dc51c100b80cf088ad999fc","target":"graph","created_at":"2026-07-05T06:13:32Z","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/2305.15154/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a novel positive and negative set selection strategy for contrastive learning of medical images based on labels that can be extracted from clinical data. In the medical field, there exists a variety of labels for data that serve different purposes at different stages of a diagnostic and treatment process. Clinical labels and biomarker labels are two examples. In general, clinical labels are easier to obtain in larger quantities because they are regularly collected during routine clinical care, while biomarker labels require expert analysis and interpretation to obtain. With","authors_text":"Charles Wykoff, Ghassan AlRegib, Kiran Kokilepersaud, Mohit Prabhushankar, Stephanie Trejo Corona","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-24T13:51:48Z","title":"Clinically Labeled Contrastive Learning for OCT Biomarker Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.15154","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":"sha256:3406e8da3b5c792b644a56b12d14832b439b7b4a5fe6fbb0a16eb2948ed3037d","target":"record","created_at":"2026-07-05T06:13:32Z","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":"30804bb8cb0487842f1a3cbba17021c6ba7d82740032ebe745a14c242d0f9fe4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-24T13:51:48Z","title_canon_sha256":"0045dddf787108f81dfa5915df1bed45408d4db0d81c2613bb90864f9b5c3efd"},"schema_version":"1.0","source":{"id":"2305.15154","kind":"arxiv","version":1}},"canonical_sha256":"182d796f9accafa8aaffddfc67cc650d3086453c400013517eac93a6343767c2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"182d796f9accafa8aaffddfc67cc650d3086453c400013517eac93a6343767c2","first_computed_at":"2026-07-05T06:13:32.065523Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:13:32.065523Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v68BSJ9j3o3u/nclg3nvGCG8VTV5L3KboFisziBJ0KXSfQVSt5v8q44hDZ7oBFGkfS2e8apKTtqOg3jWOZH8Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:13:32.065975Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.15154","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3406e8da3b5c792b644a56b12d14832b439b7b4a5fe6fbb0a16eb2948ed3037d","sha256:d2aae9168068461373645c4615a4b2296f90ed6a5dc51c100b80cf088ad999fc"],"state_sha256":"69f1d4b26f0c28df3181e68ffaf2ae342f69ef2f5eaa55f2522d62d1234d24dd"}