{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:632GDPXS56TTSJXLU2YTBI25SG","short_pith_number":"pith:632GDPXS","canonical_record":{"source":{"id":"2203.01505","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-03T03:46:18Z","cross_cats_sorted":["math.OC","stat.ML"],"title_canon_sha256":"c1382f0687cb098b42b13fb9a82ed02f8356424682f2651f1af869b47bbed021","abstract_canon_sha256":"76acdb90c43511c70581886f62a28f32893e4d1fd269ffc8e66a7b3832ec9de1"},"schema_version":"1.0"},"canonical_sha256":"f6f461bef2efa73926eba6b130a35d91af6442b847a548f49492ae8f40b385c0","source":{"kind":"arxiv","id":"2203.01505","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.01505","created_at":"2026-07-05T05:10:54Z"},{"alias_kind":"arxiv_version","alias_value":"2203.01505v2","created_at":"2026-07-05T05:10:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.01505","created_at":"2026-07-05T05:10:54Z"},{"alias_kind":"pith_short_12","alias_value":"632GDPXS56TT","created_at":"2026-07-05T05:10:54Z"},{"alias_kind":"pith_short_16","alias_value":"632GDPXS56TTSJXL","created_at":"2026-07-05T05:10:54Z"},{"alias_kind":"pith_short_8","alias_value":"632GDPXS","created_at":"2026-07-05T05:10:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:632GDPXS56TTSJXLU2YTBI25SG","target":"record","payload":{"canonical_record":{"source":{"id":"2203.01505","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-03T03:46:18Z","cross_cats_sorted":["math.OC","stat.ML"],"title_canon_sha256":"c1382f0687cb098b42b13fb9a82ed02f8356424682f2651f1af869b47bbed021","abstract_canon_sha256":"76acdb90c43511c70581886f62a28f32893e4d1fd269ffc8e66a7b3832ec9de1"},"schema_version":"1.0"},"canonical_sha256":"f6f461bef2efa73926eba6b130a35d91af6442b847a548f49492ae8f40b385c0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:10:54.485520Z","signature_b64":"kbu4Zw7F3b53et2UhiEyqoY57Cr4Yx/LvK9+hDjVHJzGl/u4LHT1ipBxYwcZQpGLwHunTF36ZWGFine7IPD4Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f6f461bef2efa73926eba6b130a35d91af6442b847a548f49492ae8f40b385c0","last_reissued_at":"2026-07-05T05:10:54.485155Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:10:54.485155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.01505","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":"2026-07-05T05:10:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+sEPfUUj5hYpwv96w6gKvx4LP9qzEUiazwmUvJVmuUcx8z6CrdKceNFWUNjYteXOvndNUDzXrHN8yi9w4oehDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T20:56:23.891631Z"},"content_sha256":"384c039c6ef92d3858e12123d58c35cd5918debfedeb09fe3bde3d5c15d84e64","schema_version":"1.0","event_id":"sha256:384c039c6ef92d3858e12123d58c35cd5918debfedeb09fe3bde3d5c15d84e64"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:632GDPXS56TTSJXLU2YTBI25SG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large-scale Optimization of Partial AUC in a Range of False Positive Rates","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.OC","stat.ML"],"primary_cat":"cs.LG","authors_text":"Qihang Lin, Tianbao Yang, Yao Yao","submitted_at":"2022-03-03T03:46:18Z","abstract_excerpt":"The area under the ROC curve (AUC) is one of the most widely used performance measures for classification models in machine learning. However, it summarizes the true positive rates (TPRs) over all false positive rates (FPRs) in the ROC space, which may include the FPRs with no practical relevance in some applications. The partial AUC, as a generalization of the AUC, summarizes only the TPRs over a specific range of the FPRs and is thus a more suitable performance measure in many real-world situations. Although partial AUC optimization in a range of FPRs had been studied, existing algorithms ar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.01505","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/2203.01505/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":"2026-07-05T05:10:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0CoqSjTeqduCUFr8R2kTEf2b1TRpNA5g6O/jVIJJCN7a6lMo8w1exrJ0F+Tvs1pgf7Ko94UEumyMiUaYznTQDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T20:56:23.892187Z"},"content_sha256":"545ac83afa8f2966e895a90eb6107ebb9500dedaaeba1d62f8a7deac19cf001d","schema_version":"1.0","event_id":"sha256:545ac83afa8f2966e895a90eb6107ebb9500dedaaeba1d62f8a7deac19cf001d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/632GDPXS56TTSJXLU2YTBI25SG/bundle.json","state_url":"https://pith.science/pith/632GDPXS56TTSJXLU2YTBI25SG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/632GDPXS56TTSJXLU2YTBI25SG/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":"2026-08-15T20:56:23Z","links":{"resolver":"https://pith.science/pith/632GDPXS56TTSJXLU2YTBI25SG","bundle":"https://pith.science/pith/632GDPXS56TTSJXLU2YTBI25SG/bundle.json","state":"https://pith.science/pith/632GDPXS56TTSJXLU2YTBI25SG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/632GDPXS56TTSJXLU2YTBI25SG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:632GDPXS56TTSJXLU2YTBI25SG","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":"76acdb90c43511c70581886f62a28f32893e4d1fd269ffc8e66a7b3832ec9de1","cross_cats_sorted":["math.OC","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-03T03:46:18Z","title_canon_sha256":"c1382f0687cb098b42b13fb9a82ed02f8356424682f2651f1af869b47bbed021"},"schema_version":"1.0","source":{"id":"2203.01505","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.01505","created_at":"2026-07-05T05:10:54Z"},{"alias_kind":"arxiv_version","alias_value":"2203.01505v2","created_at":"2026-07-05T05:10:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.01505","created_at":"2026-07-05T05:10:54Z"},{"alias_kind":"pith_short_12","alias_value":"632GDPXS56TT","created_at":"2026-07-05T05:10:54Z"},{"alias_kind":"pith_short_16","alias_value":"632GDPXS56TTSJXL","created_at":"2026-07-05T05:10:54Z"},{"alias_kind":"pith_short_8","alias_value":"632GDPXS","created_at":"2026-07-05T05:10:54Z"}],"graph_snapshots":[{"event_id":"sha256:545ac83afa8f2966e895a90eb6107ebb9500dedaaeba1d62f8a7deac19cf001d","target":"graph","created_at":"2026-07-05T05:10:54Z","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/2203.01505/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The area under the ROC curve (AUC) is one of the most widely used performance measures for classification models in machine learning. However, it summarizes the true positive rates (TPRs) over all false positive rates (FPRs) in the ROC space, which may include the FPRs with no practical relevance in some applications. The partial AUC, as a generalization of the AUC, summarizes only the TPRs over a specific range of the FPRs and is thus a more suitable performance measure in many real-world situations. Although partial AUC optimization in a range of FPRs had been studied, existing algorithms ar","authors_text":"Qihang Lin, Tianbao Yang, Yao Yao","cross_cats":["math.OC","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-03T03:46:18Z","title":"Large-scale Optimization of Partial AUC in a Range of False Positive Rates"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.01505","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":"sha256:384c039c6ef92d3858e12123d58c35cd5918debfedeb09fe3bde3d5c15d84e64","target":"record","created_at":"2026-07-05T05:10:54Z","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":"76acdb90c43511c70581886f62a28f32893e4d1fd269ffc8e66a7b3832ec9de1","cross_cats_sorted":["math.OC","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-03-03T03:46:18Z","title_canon_sha256":"c1382f0687cb098b42b13fb9a82ed02f8356424682f2651f1af869b47bbed021"},"schema_version":"1.0","source":{"id":"2203.01505","kind":"arxiv","version":2}},"canonical_sha256":"f6f461bef2efa73926eba6b130a35d91af6442b847a548f49492ae8f40b385c0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f6f461bef2efa73926eba6b130a35d91af6442b847a548f49492ae8f40b385c0","first_computed_at":"2026-07-05T05:10:54.485155Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:10:54.485155Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kbu4Zw7F3b53et2UhiEyqoY57Cr4Yx/LvK9+hDjVHJzGl/u4LHT1ipBxYwcZQpGLwHunTF36ZWGFine7IPD4Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:10:54.485520Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.01505","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:384c039c6ef92d3858e12123d58c35cd5918debfedeb09fe3bde3d5c15d84e64","sha256:545ac83afa8f2966e895a90eb6107ebb9500dedaaeba1d62f8a7deac19cf001d"],"state_sha256":"e2313ce8655ba271083c57f2056a7a9e40eaa2d2db43a16e42938b61c65a8b41"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zTC7LZiRPnJAciLx4reykbzUScBBnQT6qs/AEBUicJTd/bVNZ/Chi4KxWva9b8ZBzHlEIDZ2pH3vD8uzZ3lPCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T20:56:23.898651Z","bundle_sha256":"ba622c952656a5a2f4c6bfe5776e1c304c543b44311c6c2ebd031ac843d023f1"}}