{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NXVXCD6HBTMPFQALERRR7YUHI5","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":"8470e20f1cf3bbd816cc36a6c9128655fe7b55ab00c6062bcadbc127d3a7c4f3","cross_cats_sorted":["cs.GT","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-02-04T02:44:56Z","title_canon_sha256":"3eab02656f5fb680e86111d3c27d01a683d7e830069539866c30ce17e9d90455"},"schema_version":"1.0","source":{"id":"2602.04155","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.04155","created_at":"2026-06-19T16:10:34Z"},{"alias_kind":"arxiv_version","alias_value":"2602.04155v2","created_at":"2026-06-19T16:10:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.04155","created_at":"2026-06-19T16:10:34Z"},{"alias_kind":"pith_short_12","alias_value":"NXVXCD6HBTMP","created_at":"2026-06-19T16:10:34Z"},{"alias_kind":"pith_short_16","alias_value":"NXVXCD6HBTMPFQAL","created_at":"2026-06-19T16:10:34Z"},{"alias_kind":"pith_short_8","alias_value":"NXVXCD6H","created_at":"2026-06-19T16:10:34Z"}],"graph_snapshots":[{"event_id":"sha256:39556c2e214566b3153f85f3f5a55a3d51ab57e1f6e396a257f27329f97a5702","target":"graph","created_at":"2026-06-19T16:10:34Z","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/2602.04155/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"When deploying a single predictor across multiple subpopulations, we propose a fundamentally different approach: interpreting group fairness as a bargaining problem among subpopulations. This game-theoretic perspective reveals that existing robust optimization methods such as minimizing worst-group loss or regret correspond to classical bargaining solutions and embody different fairness principles. We propose relative improvement, the ratio of actual risk reduction to potential reduction from a baseline predictor, which recovers the Kalai-Smorodinsky solution. Unlike absolute-scale methods tha","authors_text":"Jiwoo Han, Moulinath Banerjee, Yuekai Sun","cross_cats":["cs.GT","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-02-04T02:44:56Z","title":"Maximin Relative Improvement: Fair Learning as a Bargaining Problem"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.04155","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":"sha256:6604465c0edb36f51e251fcf0067cfcec66006ff6e99a9f814180fa58dbeb750","target":"record","created_at":"2026-06-19T16:10:34Z","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":"8470e20f1cf3bbd816cc36a6c9128655fe7b55ab00c6062bcadbc127d3a7c4f3","cross_cats_sorted":["cs.GT","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2026-02-04T02:44:56Z","title_canon_sha256":"3eab02656f5fb680e86111d3c27d01a683d7e830069539866c30ce17e9d90455"},"schema_version":"1.0","source":{"id":"2602.04155","kind":"arxiv","version":2}},"canonical_sha256":"6deb710fc70cd8f2c00b24631fe287475b8ada86829b78c17128429ac684317a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6deb710fc70cd8f2c00b24631fe287475b8ada86829b78c17128429ac684317a","first_computed_at":"2026-06-19T16:10:34.811998Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:10:34.811998Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZhWvbSiBfjcEpiBjgDihQFEZlJXcaS3xXLEUHKzmTe8YeFKlzNF5lUccCX/zS1TiLs4aYkrDitioTiVjuP1dCQ==","signature_status":"signed_v1","signed_at":"2026-06-19T16:10:34.812478Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.04155","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6604465c0edb36f51e251fcf0067cfcec66006ff6e99a9f814180fa58dbeb750","sha256:39556c2e214566b3153f85f3f5a55a3d51ab57e1f6e396a257f27329f97a5702"],"state_sha256":"450f6833f366b62a37eb7909aad0ebbfcd8f282800d2c434cdbf7695e5d92d04"}