{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:Y26KK2HRSIITDXNTRYT7JEFGAO","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":"4ee710863596c47517a6da068e162c0584d03749f5be06d3b473f8e970961d24","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2022-02-07T13:50:21Z","title_canon_sha256":"d177cf0a38a21bd63a669b457d4a1e3cd16fd33e54abb96bc5389e456f50828c"},"schema_version":"1.0","source":{"id":"2202.03165","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.03165","created_at":"2026-07-05T11:07:54Z"},{"alias_kind":"arxiv_version","alias_value":"2202.03165v2","created_at":"2026-07-05T11:07:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.03165","created_at":"2026-07-05T11:07:54Z"},{"alias_kind":"pith_short_12","alias_value":"Y26KK2HRSIIT","created_at":"2026-07-05T11:07:54Z"},{"alias_kind":"pith_short_16","alias_value":"Y26KK2HRSIITDXNT","created_at":"2026-07-05T11:07:54Z"},{"alias_kind":"pith_short_8","alias_value":"Y26KK2HR","created_at":"2026-07-05T11:07:54Z"}],"graph_snapshots":[{"event_id":"sha256:55f0d7bbba6cc525e1a9a8145fbee78efe3692f64b5efc827c5b1a914a7270eb","target":"graph","created_at":"2026-07-05T11:07:54Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2202.03165/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As they have a vital effect on social decision makings, AI algorithms should be not only accurate and but also fair. Among various algorithms for fairness AI, learning a prediction model by minimizing the empirical risk (e.g., cross-entropy) subject to a given fairness constraint has received much attention. To avoid computational difficulty, however, a given fairness constraint is replaced by a surrogate fairness constraint as the 0-1 loss is replaced by a convex surrogate loss for classification problems. In this paper, we investigate the validity of existing surrogate fairness constraints a","authors_text":"Ilsang Ohn, Kunwoong Kim, Sara Kim, Yongdai Kim","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2022-02-07T13:50:21Z","title":"SLIDE: a surrogate fairness constraint to ensure fairness consistency"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.03165","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":"sha256:0360722a6611f8feea9425087b98d016d777a5be832a56a2a3589c4f670b1cba","target":"record","created_at":"2026-07-05T11:07:54Z","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":"4ee710863596c47517a6da068e162c0584d03749f5be06d3b473f8e970961d24","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2022-02-07T13:50:21Z","title_canon_sha256":"d177cf0a38a21bd63a669b457d4a1e3cd16fd33e54abb96bc5389e456f50828c"},"schema_version":"1.0","source":{"id":"2202.03165","kind":"arxiv","version":2}},"canonical_sha256":"c6bca568f1921131ddb38e27f490a603bb652ffc41dc7a40ebf1cd074354ccbf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6bca568f1921131ddb38e27f490a603bb652ffc41dc7a40ebf1cd074354ccbf","first_computed_at":"2026-07-05T11:07:54.399021Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:54.399021Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FTBLyUgaFYMDt48/WE9oXcxhDrXyKyt1VdnniTMX4JM82kUKepPwt6jKc8+Do+dCgA6DQBIFzm3+H1nVPm4/Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:54.399582Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.03165","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0360722a6611f8feea9425087b98d016d777a5be832a56a2a3589c4f670b1cba","sha256:55f0d7bbba6cc525e1a9a8145fbee78efe3692f64b5efc827c5b1a914a7270eb"],"state_sha256":"bd6817d5ba520422317cad67464b75de018da94d23aa0cde65c5455a68519b06"}