{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:VSLEUBSO5RBQAU3CJRF3NRLX44","short_pith_number":"pith:VSLEUBSO","canonical_record":{"source":{"id":"2306.01007","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-31T19:04:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e1909a69960c79076cff06264004eb8621da71754d0ab04126ac2e4d7bc72dc2","abstract_canon_sha256":"d3bdaabcd3605c004d164f7226c33bb1f5dd155d475b727f4aaad41b8a9c8a5b"},"schema_version":"1.0"},"canonical_sha256":"ac964a064eec430053624c4bb6c577e70c53cfb27af19ca31715386c9e6f9298","source":{"kind":"arxiv","id":"2306.01007","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.01007","created_at":"2026-07-05T06:31:11Z"},{"alias_kind":"arxiv_version","alias_value":"2306.01007v2","created_at":"2026-07-05T06:31:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.01007","created_at":"2026-07-05T06:31:11Z"},{"alias_kind":"pith_short_12","alias_value":"VSLEUBSO5RBQ","created_at":"2026-07-05T06:31:11Z"},{"alias_kind":"pith_short_16","alias_value":"VSLEUBSO5RBQAU3C","created_at":"2026-07-05T06:31:11Z"},{"alias_kind":"pith_short_8","alias_value":"VSLEUBSO","created_at":"2026-07-05T06:31:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:VSLEUBSO5RBQAU3CJRF3NRLX44","target":"record","payload":{"canonical_record":{"source":{"id":"2306.01007","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-31T19:04:16Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e1909a69960c79076cff06264004eb8621da71754d0ab04126ac2e4d7bc72dc2","abstract_canon_sha256":"d3bdaabcd3605c004d164f7226c33bb1f5dd155d475b727f4aaad41b8a9c8a5b"},"schema_version":"1.0"},"canonical_sha256":"ac964a064eec430053624c4bb6c577e70c53cfb27af19ca31715386c9e6f9298","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:31:11.695326Z","signature_b64":"H1LKnsI+7NKA3w5Vj2k22FLe/U/hT2Oopfw1NWeLBFEg0B8Y6iSgsgNm/zvL2r7Pxna6pD9MaKA2PtGmTHw8BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ac964a064eec430053624c4bb6c577e70c53cfb27af19ca31715386c9e6f9298","last_reissued_at":"2026-07-05T06:31:11.694832Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:31:11.694832Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.01007","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":"2026-07-05T06:31:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Za4akfWc5K6PMefJGKtAVn5Alge5ix7CILZmcCZ+ES+JZZJm1aDy6tEZ1I8o6xQulJQVpDeMf45kRnRRwH4tAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T12:44:43.523998Z"},"content_sha256":"3b74bca7b186e4b509bcb1c0038788cb1735d26c062a7c4efee4bc96665acc19","schema_version":"1.0","event_id":"sha256:3b74bca7b186e4b509bcb1c0038788cb1735d26c062a7c4efee4bc96665acc19"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:VSLEUBSO5RBQAU3CJRF3NRLX44","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Towards Fair Disentangled Online Learning for Changing Environments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Chen Zhao, Christan Grant, Feng Chen, Feng Mi, Kai Jiang, Latifur Khan, Xintao Wu","submitted_at":"2023-05-31T19:04:16Z","abstract_excerpt":"In the problem of online learning for changing environments, data are sequentially received one after another over time, and their distribution assumptions may vary frequently. Although existing methods demonstrate the effectiveness of their learning algorithms by providing a tight bound on either dynamic regret or adaptive regret, most of them completely ignore learning with model fairness, defined as the statistical parity across different sub-population (e.g., race and gender). Another drawback is that when adapting to a new environment, an online learner needs to update model parameters wi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.01007","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/2306.01007/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":"2026-07-05T06:31:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZCBU3C+1iB6FRyLDHEVU5d+8joWPoZF6tWpD6N966CSodo/PTy4EQutOkYPdHDnACvQk05zPQnb8j4hGDJIpCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T12:44:43.524578Z"},"content_sha256":"f7dcf220249cbf9fcce65f9b0e6f915daea535adfb49e138254c6d830a3cae7d","schema_version":"1.0","event_id":"sha256:f7dcf220249cbf9fcce65f9b0e6f915daea535adfb49e138254c6d830a3cae7d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VSLEUBSO5RBQAU3CJRF3NRLX44/bundle.json","state_url":"https://pith.science/pith/VSLEUBSO5RBQAU3CJRF3NRLX44/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VSLEUBSO5RBQAU3CJRF3NRLX44/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":"2026-08-21T12:44:43Z","links":{"resolver":"https://pith.science/pith/VSLEUBSO5RBQAU3CJRF3NRLX44","bundle":"https://pith.science/pith/VSLEUBSO5RBQAU3CJRF3NRLX44/bundle.json","state":"https://pith.science/pith/VSLEUBSO5RBQAU3CJRF3NRLX44/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VSLEUBSO5RBQAU3CJRF3NRLX44/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:VSLEUBSO5RBQAU3CJRF3NRLX44","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":"d3bdaabcd3605c004d164f7226c33bb1f5dd155d475b727f4aaad41b8a9c8a5b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-31T19:04:16Z","title_canon_sha256":"e1909a69960c79076cff06264004eb8621da71754d0ab04126ac2e4d7bc72dc2"},"schema_version":"1.0","source":{"id":"2306.01007","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.01007","created_at":"2026-07-05T06:31:11Z"},{"alias_kind":"arxiv_version","alias_value":"2306.01007v2","created_at":"2026-07-05T06:31:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.01007","created_at":"2026-07-05T06:31:11Z"},{"alias_kind":"pith_short_12","alias_value":"VSLEUBSO5RBQ","created_at":"2026-07-05T06:31:11Z"},{"alias_kind":"pith_short_16","alias_value":"VSLEUBSO5RBQAU3C","created_at":"2026-07-05T06:31:11Z"},{"alias_kind":"pith_short_8","alias_value":"VSLEUBSO","created_at":"2026-07-05T06:31:11Z"}],"graph_snapshots":[{"event_id":"sha256:f7dcf220249cbf9fcce65f9b0e6f915daea535adfb49e138254c6d830a3cae7d","target":"graph","created_at":"2026-07-05T06:31:11Z","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/2306.01007/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the problem of online learning for changing environments, data are sequentially received one after another over time, and their distribution assumptions may vary frequently. Although existing methods demonstrate the effectiveness of their learning algorithms by providing a tight bound on either dynamic regret or adaptive regret, most of them completely ignore learning with model fairness, defined as the statistical parity across different sub-population (e.g., race and gender). Another drawback is that when adapting to a new environment, an online learner needs to update model parameters wi","authors_text":"Chen Zhao, Christan Grant, Feng Chen, Feng Mi, Kai Jiang, Latifur Khan, Xintao Wu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-31T19:04:16Z","title":"Towards Fair Disentangled Online Learning for Changing Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.01007","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":"sha256:3b74bca7b186e4b509bcb1c0038788cb1735d26c062a7c4efee4bc96665acc19","target":"record","created_at":"2026-07-05T06:31:11Z","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":"d3bdaabcd3605c004d164f7226c33bb1f5dd155d475b727f4aaad41b8a9c8a5b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-05-31T19:04:16Z","title_canon_sha256":"e1909a69960c79076cff06264004eb8621da71754d0ab04126ac2e4d7bc72dc2"},"schema_version":"1.0","source":{"id":"2306.01007","kind":"arxiv","version":2}},"canonical_sha256":"ac964a064eec430053624c4bb6c577e70c53cfb27af19ca31715386c9e6f9298","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac964a064eec430053624c4bb6c577e70c53cfb27af19ca31715386c9e6f9298","first_computed_at":"2026-07-05T06:31:11.694832Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:31:11.694832Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H1LKnsI+7NKA3w5Vj2k22FLe/U/hT2Oopfw1NWeLBFEg0B8Y6iSgsgNm/zvL2r7Pxna6pD9MaKA2PtGmTHw8BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:31:11.695326Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.01007","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3b74bca7b186e4b509bcb1c0038788cb1735d26c062a7c4efee4bc96665acc19","sha256:f7dcf220249cbf9fcce65f9b0e6f915daea535adfb49e138254c6d830a3cae7d"],"state_sha256":"98ead135e8cfd2ad0a91f337e5bb945948499d60010ffde5aa7aaf75d6fe9115"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PrKECQVcxUvxB6RM76xtLJ9JdYv8dgs+yPNNn70bgEhTKFnp/WMzINLHyIcsnTYdNnrqHcy93p6fpE0XY7UdCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T12:44:43.529136Z","bundle_sha256":"b2fd8911a6c790300dc3a286e630a2df4486ff41987cd747b882da6001c568ba"}}