{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:FBV7JAT272VXVYEDQIBZP7I72H","short_pith_number":"pith:FBV7JAT2","canonical_record":{"source":{"id":"2111.12823","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-11-24T22:32:19Z","cross_cats_sorted":["cs.AI","cs.CY","stat.ML"],"title_canon_sha256":"a5fb77f1f0b38b1a8e35ccebf3f8e964b13a846450a797265081798225ddefc0","abstract_canon_sha256":"b061951ced4fcc1b508d2c5f2188159c0c1be300db7d79f1c8e5b332d5ef2176"},"schema_version":"1.0"},"canonical_sha256":"286bf4827afeab7ae083820397fd1fd1f9c865d6ae31e86bdebca0c4e97ae041","source":{"kind":"arxiv","id":"2111.12823","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.12823","created_at":"2026-07-05T04:51:05Z"},{"alias_kind":"arxiv_version","alias_value":"2111.12823v2","created_at":"2026-07-05T04:51:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.12823","created_at":"2026-07-05T04:51:05Z"},{"alias_kind":"pith_short_12","alias_value":"FBV7JAT272VX","created_at":"2026-07-05T04:51:05Z"},{"alias_kind":"pith_short_16","alias_value":"FBV7JAT272VXVYED","created_at":"2026-07-05T04:51:05Z"},{"alias_kind":"pith_short_8","alias_value":"FBV7JAT2","created_at":"2026-07-05T04:51:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:FBV7JAT272VXVYEDQIBZP7I72H","target":"record","payload":{"canonical_record":{"source":{"id":"2111.12823","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-11-24T22:32:19Z","cross_cats_sorted":["cs.AI","cs.CY","stat.ML"],"title_canon_sha256":"a5fb77f1f0b38b1a8e35ccebf3f8e964b13a846450a797265081798225ddefc0","abstract_canon_sha256":"b061951ced4fcc1b508d2c5f2188159c0c1be300db7d79f1c8e5b332d5ef2176"},"schema_version":"1.0"},"canonical_sha256":"286bf4827afeab7ae083820397fd1fd1f9c865d6ae31e86bdebca0c4e97ae041","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:51:05.638783Z","signature_b64":"vq7oLHOOOvHCYDrv4ukRLeD7msfeM4todhZFVmWbSmCu0fAHkeHtpQfKv8rLq5pWw0oZOz/007CtbpJ8p8+9Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"286bf4827afeab7ae083820397fd1fd1f9c865d6ae31e86bdebca0c4e97ae041","last_reissued_at":"2026-07-05T04:51:05.638363Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:51:05.638363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.12823","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:51:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qnK9MbeCeHOfErxFY224A+uwm13+xJLLz+EWgIzKLNgEcCGbUXzjQifuJAs3WKjiaMwx99zYpk7MdP2r84EyBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:04:10.767053Z"},"content_sha256":"c6bbc76712f6c213d85eff94c33ebb5224be313f80781634b5f537e33ec4f91d","schema_version":"1.0","event_id":"sha256:c6bbc76712f6c213d85eff94c33ebb5224be313f80781634b5f537e33ec4f91d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:FBV7JAT272VXVYEDQIBZP7I72H","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fairness for AUC via Feature Augmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CY","stat.ML"],"primary_cat":"cs.LG","authors_text":"Anay Mehrotra, Hortense Fong, Nisheeth K. Vishnoi, Vineet Kumar","submitted_at":"2021-11-24T22:32:19Z","abstract_excerpt":"We study fairness in the context of classification where the performance is measured by the area under the curve (AUC) of the receiver operating characteristic. AUC is commonly used to measure the performance of prediction models. The same classifier can have significantly varying AUCs for different protected groups and, in real-world applications, it is often desirable to reduce such cross-group differences. We address the problem of how to acquire additional features to most greatly improve AUC for the disadvantaged group. We develop a novel approach, fairAUC, based on feature augmentation ("},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.12823","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2111.12823/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:51:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CC+ENR81aZvdJZaxv4/o9I9P+fq4hq+IhQEP7bPPtaLS2WnuXazSUdcfiyGD2zoFLZORVyk/VhJokKo0u8fqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:04:10.767611Z"},"content_sha256":"ac48cdc4d5dbcc27fbde0da06abe854a5498b9b98f6047c0898315434a6db1bb","schema_version":"1.0","event_id":"sha256:ac48cdc4d5dbcc27fbde0da06abe854a5498b9b98f6047c0898315434a6db1bb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FBV7JAT272VXVYEDQIBZP7I72H/bundle.json","state_url":"https://pith.science/pith/FBV7JAT272VXVYEDQIBZP7I72H/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FBV7JAT272VXVYEDQIBZP7I72H/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-08T07:04:10Z","links":{"resolver":"https://pith.science/pith/FBV7JAT272VXVYEDQIBZP7I72H","bundle":"https://pith.science/pith/FBV7JAT272VXVYEDQIBZP7I72H/bundle.json","state":"https://pith.science/pith/FBV7JAT272VXVYEDQIBZP7I72H/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FBV7JAT272VXVYEDQIBZP7I72H/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:FBV7JAT272VXVYEDQIBZP7I72H","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":"b061951ced4fcc1b508d2c5f2188159c0c1be300db7d79f1c8e5b332d5ef2176","cross_cats_sorted":["cs.AI","cs.CY","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-11-24T22:32:19Z","title_canon_sha256":"a5fb77f1f0b38b1a8e35ccebf3f8e964b13a846450a797265081798225ddefc0"},"schema_version":"1.0","source":{"id":"2111.12823","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.12823","created_at":"2026-07-05T04:51:05Z"},{"alias_kind":"arxiv_version","alias_value":"2111.12823v2","created_at":"2026-07-05T04:51:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.12823","created_at":"2026-07-05T04:51:05Z"},{"alias_kind":"pith_short_12","alias_value":"FBV7JAT272VX","created_at":"2026-07-05T04:51:05Z"},{"alias_kind":"pith_short_16","alias_value":"FBV7JAT272VXVYED","created_at":"2026-07-05T04:51:05Z"},{"alias_kind":"pith_short_8","alias_value":"FBV7JAT2","created_at":"2026-07-05T04:51:05Z"}],"graph_snapshots":[{"event_id":"sha256:ac48cdc4d5dbcc27fbde0da06abe854a5498b9b98f6047c0898315434a6db1bb","target":"graph","created_at":"2026-07-05T04:51:05Z","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/2111.12823/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We study fairness in the context of classification where the performance is measured by the area under the curve (AUC) of the receiver operating characteristic. AUC is commonly used to measure the performance of prediction models. The same classifier can have significantly varying AUCs for different protected groups and, in real-world applications, it is often desirable to reduce such cross-group differences. We address the problem of how to acquire additional features to most greatly improve AUC for the disadvantaged group. We develop a novel approach, fairAUC, based on feature augmentation (","authors_text":"Anay Mehrotra, Hortense Fong, Nisheeth K. Vishnoi, Vineet Kumar","cross_cats":["cs.AI","cs.CY","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-11-24T22:32:19Z","title":"Fairness for AUC via Feature Augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.12823","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:c6bbc76712f6c213d85eff94c33ebb5224be313f80781634b5f537e33ec4f91d","target":"record","created_at":"2026-07-05T04:51:05Z","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":"b061951ced4fcc1b508d2c5f2188159c0c1be300db7d79f1c8e5b332d5ef2176","cross_cats_sorted":["cs.AI","cs.CY","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-11-24T22:32:19Z","title_canon_sha256":"a5fb77f1f0b38b1a8e35ccebf3f8e964b13a846450a797265081798225ddefc0"},"schema_version":"1.0","source":{"id":"2111.12823","kind":"arxiv","version":2}},"canonical_sha256":"286bf4827afeab7ae083820397fd1fd1f9c865d6ae31e86bdebca0c4e97ae041","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"286bf4827afeab7ae083820397fd1fd1f9c865d6ae31e86bdebca0c4e97ae041","first_computed_at":"2026-07-05T04:51:05.638363Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:51:05.638363Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vq7oLHOOOvHCYDrv4ukRLeD7msfeM4todhZFVmWbSmCu0fAHkeHtpQfKv8rLq5pWw0oZOz/007CtbpJ8p8+9Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:51:05.638783Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.12823","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c6bbc76712f6c213d85eff94c33ebb5224be313f80781634b5f537e33ec4f91d","sha256:ac48cdc4d5dbcc27fbde0da06abe854a5498b9b98f6047c0898315434a6db1bb"],"state_sha256":"79b4c66e6b565f47378a8ccb7d47f6c3fb02052fc3baa0c75816a038d3058a66"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P8nhJN/qRCwwO4GkEwH4KFEFBkYC9eo2Ajlf9Gf7WMvC7WESW9br+alhGoGHQ2ivv9GN7I5QTz8QwLZffaBdCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T07:04:10.772210Z","bundle_sha256":"bc5ecdef19969cb32fdce694438477a983026acbd306a204545410b41e88d0d2"}}