{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:Q3B4GRIAO3GHOZKOCTYDP4JPMM","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":"82c9328f34526baddd076b2726b64554fabaed0becb6d864b9b5b162abbca373","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-28T00:36:30Z","title_canon_sha256":"4ef6e39755c8784ff1f293a6fe62a6d0b3d03a801c6e3fecd7ac20178ec7b625"},"schema_version":"1.0","source":{"id":"1906.12005","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.12005","created_at":"2026-07-05T06:50:08Z"},{"alias_kind":"arxiv_version","alias_value":"1906.12005v2","created_at":"2026-07-05T06:50:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.12005","created_at":"2026-07-05T06:50:08Z"},{"alias_kind":"pith_short_12","alias_value":"Q3B4GRIAO3GH","created_at":"2026-07-05T06:50:08Z"},{"alias_kind":"pith_short_16","alias_value":"Q3B4GRIAO3GHOZKO","created_at":"2026-07-05T06:50:08Z"},{"alias_kind":"pith_short_8","alias_value":"Q3B4GRIA","created_at":"2026-07-05T06:50:08Z"}],"graph_snapshots":[{"event_id":"sha256:7140765d1559f7e7a378628c9c7f74dda624499d1b6f93dd4fb45afa639ecc80","target":"graph","created_at":"2026-07-05T06:50:08Z","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/1906.12005/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Machine learning algorithms have been increasingly deployed in critical automated decision-making systems that directly affect human lives. When these algorithms are only trained to minimize the training/test error, they could suffer from systematic discrimination against individuals based on their sensitive attributes such as gender or race. Recently, there has been a surge in machine learning society to develop algorithms for fair machine learning. In particular, many adversarial learning procedures have been proposed to impose fairness. Unfortunately, these algorithms either can only impose","authors_text":"Ahmad Beirami, Maher Nouiehed, Meisam Razaviyayn, Sina Baharlouei","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-28T00:36:30Z","title":"R\\'enyi Fair Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.12005","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":"sha256:5d0e8f650015bdc2b6e05c9cac873068b21407522451832d65f08a15cba5497f","target":"record","created_at":"2026-07-05T06:50:08Z","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":"82c9328f34526baddd076b2726b64554fabaed0becb6d864b9b5b162abbca373","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-06-28T00:36:30Z","title_canon_sha256":"4ef6e39755c8784ff1f293a6fe62a6d0b3d03a801c6e3fecd7ac20178ec7b625"},"schema_version":"1.0","source":{"id":"1906.12005","kind":"arxiv","version":2}},"canonical_sha256":"86c3c3450076cc77654e14f037f12f633716a60f70983fabab8c34ecc0c5cb7f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"86c3c3450076cc77654e14f037f12f633716a60f70983fabab8c34ecc0c5cb7f","first_computed_at":"2026-07-05T06:50:08.588430Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:50:08.588430Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5SJP4GGZgfCOOaDA6SxPhwGW5zLH/CW5eZo96eOYkl/sQyMPqq6oIvmDxMz8X9pZmQ1CRV0saoMcLh9Sq+IaAg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:50:08.588807Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.12005","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5d0e8f650015bdc2b6e05c9cac873068b21407522451832d65f08a15cba5497f","sha256:7140765d1559f7e7a378628c9c7f74dda624499d1b6f93dd4fb45afa639ecc80"],"state_sha256":"9c7df12e992d094f0b30033e163440886695d521f2be497766e05e59738d6c34"}