{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7RSFNJLVX6VYZKZTLMSEPTOP6U","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":"0edeaa55b2669807b859953bb7ea445ce3e260e68e0b29205cb8ba065ebf8940","cross_cats_sorted":["cs.CY","cs.LG","math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-03-27T02:59:04Z","title_canon_sha256":"d39b89b0c82ad537c44d867f5e797085b704f998ef76cf1f70cd1d6ac8b46aca"},"schema_version":"1.0","source":{"id":"2403.18216","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.18216","created_at":"2026-07-05T08:01:20Z"},{"alias_kind":"arxiv_version","alias_value":"2403.18216v1","created_at":"2026-07-05T08:01:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.18216","created_at":"2026-07-05T08:01:20Z"},{"alias_kind":"pith_short_12","alias_value":"7RSFNJLVX6VY","created_at":"2026-07-05T08:01:20Z"},{"alias_kind":"pith_short_16","alias_value":"7RSFNJLVX6VYZKZT","created_at":"2026-07-05T08:01:20Z"},{"alias_kind":"pith_short_8","alias_value":"7RSFNJLV","created_at":"2026-07-05T08:01:20Z"}],"graph_snapshots":[{"event_id":"sha256:717628a8be383a1d2c54f5a9373770ca51102e45384528664754c7fd1ad9f26f","target":"graph","created_at":"2026-07-05T08:01:20Z","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/2403.18216/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mitigating the disparate impact of statistical machine learning methods is crucial for ensuring fairness. While extensive research aims to reduce disparity, the effect of using a \\emph{finite dataset} -- as opposed to the entire population -- remains unclear. This paper explores the statistical foundations of fair binary classification with two protected groups, focusing on controlling demographic disparity, defined as the difference in acceptance rates between the groups. Although fairness may come at the cost of accuracy even with infinite data, we show that using a finite sample incurs addi","authors_text":"Edgar Dobriban, Guang Cheng, Xianli Zeng","cross_cats":["cs.CY","cs.LG","math.ST","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-03-27T02:59:04Z","title":"Minimax Optimal Fair Classification with Bounded Demographic Disparity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.18216","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:dc8361f0a7ad7d7cf79f479d672c68cf943e06d426b179fa717abcb696da6463","target":"record","created_at":"2026-07-05T08:01:20Z","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":"0edeaa55b2669807b859953bb7ea445ce3e260e68e0b29205cb8ba065ebf8940","cross_cats_sorted":["cs.CY","cs.LG","math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-03-27T02:59:04Z","title_canon_sha256":"d39b89b0c82ad537c44d867f5e797085b704f998ef76cf1f70cd1d6ac8b46aca"},"schema_version":"1.0","source":{"id":"2403.18216","kind":"arxiv","version":1}},"canonical_sha256":"fc6456a575bfab8cab335b2447cdcff50c158120924e4817678e47eeeb71de33","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc6456a575bfab8cab335b2447cdcff50c158120924e4817678e47eeeb71de33","first_computed_at":"2026-07-05T08:01:20.663475Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:01:20.663475Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+GCIsusJKOEA50Banzy7t5UK/tXUn2r3idmcSXhGv7mLL9y9goHf+iaLt5bXORzMSHlZ5rC231J9Q3s5CLLwCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:01:20.664076Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.18216","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc8361f0a7ad7d7cf79f479d672c68cf943e06d426b179fa717abcb696da6463","sha256:717628a8be383a1d2c54f5a9373770ca51102e45384528664754c7fd1ad9f26f"],"state_sha256":"a9b3a93918a2697458c5fe3ee709e6f755f68cda2ef395d9dede1b088635427f"}