{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IKZUODYHOFY2MNV7S3VSAYPTT7","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":"119778f1054e875f5b634fa00c6da70b9a60dc7698f08b0fb0a9e76bf138ca14","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2024-12-28T16:03:18Z","title_canon_sha256":"3a042c36cff6eea08636dd70ffd7c7b843e5de9755ef43ea1c76b46c6bae17ff"},"schema_version":"1.0","source":{"id":"2412.20190","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.20190","created_at":"2026-07-05T10:03:50Z"},{"alias_kind":"arxiv_version","alias_value":"2412.20190v2","created_at":"2026-07-05T10:03:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.20190","created_at":"2026-07-05T10:03:50Z"},{"alias_kind":"pith_short_12","alias_value":"IKZUODYHOFY2","created_at":"2026-07-05T10:03:50Z"},{"alias_kind":"pith_short_16","alias_value":"IKZUODYHOFY2MNV7","created_at":"2026-07-05T10:03:50Z"},{"alias_kind":"pith_short_8","alias_value":"IKZUODYH","created_at":"2026-07-05T10:03:50Z"}],"graph_snapshots":[{"event_id":"sha256:ae50b6150009e9059dbc2d21e9437eefc248add71804d01ad50bb72e76cca188","target":"graph","created_at":"2026-07-05T10:03:50Z","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/2412.20190/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In many healthcare settings, it is both critical to consider fairness when building analytical applications but also uniquely unacceptable to lower model performance for one group to match that of another (e.g. fairness cannot be achieved by lowering the diagnostic ability of a model for one group to match that of another and lose overall diagnostic power). Therefore a modeler needs to maximize model performance across groups as much as possible, often while maintaining a model's interpretability, which is a challenge for a number of reasons. In this paper we therefore suggest a new modeling f","authors_text":"Courtney Paulson, Daniel Smolyak, Margr\\'et V. Bjarnad\\'ottir","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2024-12-28T16:03:18Z","title":"Maximizing Predictive Performance for Small Subgroups: Functionally Adaptive Interaction Regularization (FAIR)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.20190","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:f7d8af9914d8e9e5b2de762da1bb9fa6fe1a63d5f9a22d2d34e8e61358caae09","target":"record","created_at":"2026-07-05T10:03:50Z","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":"119778f1054e875f5b634fa00c6da70b9a60dc7698f08b0fb0a9e76bf138ca14","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2024-12-28T16:03:18Z","title_canon_sha256":"3a042c36cff6eea08636dd70ffd7c7b843e5de9755ef43ea1c76b46c6bae17ff"},"schema_version":"1.0","source":{"id":"2412.20190","kind":"arxiv","version":2}},"canonical_sha256":"42b3470f077171a636bf96eb2061f39fdeb2a6c210eaf2fec90740c1168bb311","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"42b3470f077171a636bf96eb2061f39fdeb2a6c210eaf2fec90740c1168bb311","first_computed_at":"2026-07-05T10:03:50.513004Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:03:50.513004Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6x+fYauCOI4F1VtlIL+HEnOpM71ieOyf6toncy0GY1H5UeXbjQ55HMdiWUlKryn+ESuaYBjOMsMfVeLRDMfqCg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:03:50.513451Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.20190","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7d8af9914d8e9e5b2de762da1bb9fa6fe1a63d5f9a22d2d34e8e61358caae09","sha256:ae50b6150009e9059dbc2d21e9437eefc248add71804d01ad50bb72e76cca188"],"state_sha256":"c2873242e76e8cd6051dd0f44f7844f765a926ffe597306fd6b8636a43738dc7"}