{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6BR7JCR56WWA2QIORUMOFX74OJ","short_pith_number":"pith:6BR7JCR5","canonical_record":{"source":{"id":"2412.00051","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-24T06:39:06Z","cross_cats_sorted":["cs.AI","cs.CV","cs.CY"],"title_canon_sha256":"b95566aaf0b25689f6fa88d16c0f4effa227e8c80eb069b8fa31c63a9776611a","abstract_canon_sha256":"31b3c2623a6ed9c9d0f4dd3cbefddc03287dad96b9be360946ee3c210015ea14"},"schema_version":"1.0"},"canonical_sha256":"f063f48a3df5ac0d410e8d18e2dffc725c6a26200594df01e6a24cfbf72012b3","source":{"kind":"arxiv","id":"2412.00051","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00051","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00051v2","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00051","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"pith_short_12","alias_value":"6BR7JCR56WWA","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"pith_short_16","alias_value":"6BR7JCR56WWA2QIO","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"pith_short_8","alias_value":"6BR7JCR5","created_at":"2026-07-05T09:43:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6BR7JCR56WWA2QIORUMOFX74OJ","target":"record","payload":{"canonical_record":{"source":{"id":"2412.00051","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-24T06:39:06Z","cross_cats_sorted":["cs.AI","cs.CV","cs.CY"],"title_canon_sha256":"b95566aaf0b25689f6fa88d16c0f4effa227e8c80eb069b8fa31c63a9776611a","abstract_canon_sha256":"31b3c2623a6ed9c9d0f4dd3cbefddc03287dad96b9be360946ee3c210015ea14"},"schema_version":"1.0"},"canonical_sha256":"f063f48a3df5ac0d410e8d18e2dffc725c6a26200594df01e6a24cfbf72012b3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:43:37.974965Z","signature_b64":"KeOotzmZGFGJugww6EYJenCtts1bDeFvfmxCn8sj8EXhVnXx6TLJgUBoKxl5+fy5JTaxqQnm54fhvshL+hIzCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f063f48a3df5ac0d410e8d18e2dffc725c6a26200594df01e6a24cfbf72012b3","last_reissued_at":"2026-07-05T09:43:37.974483Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:43:37.974483Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.00051","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:43:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+xFi1+CqgdLHgiARlGq0LRSDIYW6JUCRiA03AWX0UQ2IAa7oe5Y25Oc1+5Dlk0PBoKT+pWf5Qo2dUA4uwBZxCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T22:09:22.987466Z"},"content_sha256":"ad849ab1f44885493ffa88a15ea7db8e2d3117f0b6063479174a6052bb3283d9","schema_version":"1.0","event_id":"sha256:ad849ab1f44885493ffa88a15ea7db8e2d3117f0b6063479174a6052bb3283d9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6BR7JCR56WWA2QIORUMOFX74OJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.CY"],"primary_cat":"cs.LG","authors_text":"Henry Chu, Leila Gheisi, Mengyu Wang, Min Shi, Raju Gottumukkala, Xingquan Zhu, Yan Luo","submitted_at":"2024-11-24T06:39:06Z","abstract_excerpt":"The use of artificial intelligence (AI) in automated disease classification significantly reduces healthcare costs and improves the accessibility of services. However, this transformation has given rise to concerns about the fairness of AI, which disproportionately affects certain groups, particularly patients from underprivileged populations. Recently, a number of methods and large-scale datasets have been proposed to address group performance disparities. Although these methods have shown effectiveness in disease classification tasks, they may fall short in ensuring fair prediction of diseas"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00051","kind":"arxiv","version":2},"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/2412.00051/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":"2026-07-05T09:43:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zGR3L3okKLF2SvACsE6tbfdWJhe8gF+2g+c0c7k97IdK+QPWvDWTmyDM73WppGRhVfRYr/cG1JnJrIELoaVSBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T22:09:22.988001Z"},"content_sha256":"6a6c4f5eb99e4ec445812f4bdc763d3469178ff8bc4647ca0d475a0085683eeb","schema_version":"1.0","event_id":"sha256:6a6c4f5eb99e4ec445812f4bdc763d3469178ff8bc4647ca0d475a0085683eeb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6BR7JCR56WWA2QIORUMOFX74OJ/bundle.json","state_url":"https://pith.science/pith/6BR7JCR56WWA2QIORUMOFX74OJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6BR7JCR56WWA2QIORUMOFX74OJ/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":"2026-08-12T22:09:22Z","links":{"resolver":"https://pith.science/pith/6BR7JCR56WWA2QIORUMOFX74OJ","bundle":"https://pith.science/pith/6BR7JCR56WWA2QIORUMOFX74OJ/bundle.json","state":"https://pith.science/pith/6BR7JCR56WWA2QIORUMOFX74OJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6BR7JCR56WWA2QIORUMOFX74OJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6BR7JCR56WWA2QIORUMOFX74OJ","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":"31b3c2623a6ed9c9d0f4dd3cbefddc03287dad96b9be360946ee3c210015ea14","cross_cats_sorted":["cs.AI","cs.CV","cs.CY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-24T06:39:06Z","title_canon_sha256":"b95566aaf0b25689f6fa88d16c0f4effa227e8c80eb069b8fa31c63a9776611a"},"schema_version":"1.0","source":{"id":"2412.00051","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00051","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00051v2","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00051","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"pith_short_12","alias_value":"6BR7JCR56WWA","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"pith_short_16","alias_value":"6BR7JCR56WWA2QIO","created_at":"2026-07-05T09:43:37Z"},{"alias_kind":"pith_short_8","alias_value":"6BR7JCR5","created_at":"2026-07-05T09:43:37Z"}],"graph_snapshots":[{"event_id":"sha256:6a6c4f5eb99e4ec445812f4bdc763d3469178ff8bc4647ca0d475a0085683eeb","target":"graph","created_at":"2026-07-05T09:43:37Z","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/2412.00051/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The use of artificial intelligence (AI) in automated disease classification significantly reduces healthcare costs and improves the accessibility of services. However, this transformation has given rise to concerns about the fairness of AI, which disproportionately affects certain groups, particularly patients from underprivileged populations. Recently, a number of methods and large-scale datasets have been proposed to address group performance disparities. Although these methods have shown effectiveness in disease classification tasks, they may fall short in ensuring fair prediction of diseas","authors_text":"Henry Chu, Leila Gheisi, Mengyu Wang, Min Shi, Raju Gottumukkala, Xingquan Zhu, Yan Luo","cross_cats":["cs.AI","cs.CV","cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-24T06:39:06Z","title":"TransFair: Transferring Fairness from Ocular Disease Classification to Progression Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00051","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:ad849ab1f44885493ffa88a15ea7db8e2d3117f0b6063479174a6052bb3283d9","target":"record","created_at":"2026-07-05T09:43:37Z","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":"31b3c2623a6ed9c9d0f4dd3cbefddc03287dad96b9be360946ee3c210015ea14","cross_cats_sorted":["cs.AI","cs.CV","cs.CY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-24T06:39:06Z","title_canon_sha256":"b95566aaf0b25689f6fa88d16c0f4effa227e8c80eb069b8fa31c63a9776611a"},"schema_version":"1.0","source":{"id":"2412.00051","kind":"arxiv","version":2}},"canonical_sha256":"f063f48a3df5ac0d410e8d18e2dffc725c6a26200594df01e6a24cfbf72012b3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f063f48a3df5ac0d410e8d18e2dffc725c6a26200594df01e6a24cfbf72012b3","first_computed_at":"2026-07-05T09:43:37.974483Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:43:37.974483Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KeOotzmZGFGJugww6EYJenCtts1bDeFvfmxCn8sj8EXhVnXx6TLJgUBoKxl5+fy5JTaxqQnm54fhvshL+hIzCw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:43:37.974965Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.00051","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ad849ab1f44885493ffa88a15ea7db8e2d3117f0b6063479174a6052bb3283d9","sha256:6a6c4f5eb99e4ec445812f4bdc763d3469178ff8bc4647ca0d475a0085683eeb"],"state_sha256":"e3e95e25858a4587fd8337492e83288dbc7c0be3b8e7f9f8d1cd17ddb7007288"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FaxFdoyJK7efrmSwAupe/QaH7aNzshU93VYLWsFXX1/IHEAn2MHsAcKAwICsAQuLy/siAEPGdTOPXTAmh9WaCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T22:09:22.993746Z","bundle_sha256":"b92a4e645ef6002c1f3f07c9f7f4d14c6069b1bab6f5a296e385e70a08df4ddc"}}