{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XS5Y5TZYOK2BW26ZCZ3V4PBWWP","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":"7a003ce3584b5645ffb9399b4fc574e1a476f3978325839ad0faf5d8b6e55d57","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-10T18:57:06Z","title_canon_sha256":"ff927a8d32bae88a2324b6c1f2f113cb3dcc5b581f21bae95a639a7860536a33"},"schema_version":"1.0","source":{"id":"2406.06736","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.06736","created_at":"2026-07-05T11:44:39Z"},{"alias_kind":"arxiv_version","alias_value":"2406.06736v3","created_at":"2026-07-05T11:44:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.06736","created_at":"2026-07-05T11:44:39Z"},{"alias_kind":"pith_short_12","alias_value":"XS5Y5TZYOK2B","created_at":"2026-07-05T11:44:39Z"},{"alias_kind":"pith_short_16","alias_value":"XS5Y5TZYOK2BW26Z","created_at":"2026-07-05T11:44:39Z"},{"alias_kind":"pith_short_8","alias_value":"XS5Y5TZY","created_at":"2026-07-05T11:44:39Z"}],"graph_snapshots":[{"event_id":"sha256:5e8ec0507d9dbf7634ad1113bd0652463f4893cefbdf79df7b93c7e6161babf9","target":"graph","created_at":"2026-07-05T11:44:39Z","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/2406.06736/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The widespread integration of Machine Learning systems in daily life, particularly in high-stakes domains, has raised concerns about the fairness implications. While prior works have investigated static fairness measures, recent studies reveal that automated decision-making has long-term implications and that off-the-shelf fairness approaches may not serve the purpose of achieving long-term fairness. Additionally, the existence of feedback loops and the interaction between models and the environment introduces additional complexities that may deviate from the initial fairness goals. In this su","authors_text":"Jialu Wang, Kun Zhang, Lu Cheng, Peter L. Spirtes, Usman Gohar, Yang Liu, Zeyu Tang","cross_cats":["cs.AI","cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-10T18:57:06Z","title":"Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.06736","kind":"arxiv","version":3},"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":"sha256:07a34e538639374f0ef1b9548446fa4abf622d18efac1770cabdc8bf5ca97ec8","target":"record","created_at":"2026-07-05T11:44:39Z","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":"7a003ce3584b5645ffb9399b4fc574e1a476f3978325839ad0faf5d8b6e55d57","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-06-10T18:57:06Z","title_canon_sha256":"ff927a8d32bae88a2324b6c1f2f113cb3dcc5b581f21bae95a639a7860536a33"},"schema_version":"1.0","source":{"id":"2406.06736","kind":"arxiv","version":3}},"canonical_sha256":"bcbb8ecf3872b41b6bd916775e3c36b3eefca318e16b0c228403265a785fe4c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bcbb8ecf3872b41b6bd916775e3c36b3eefca318e16b0c228403265a785fe4c6","first_computed_at":"2026-07-05T11:44:39.910359Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:39.910359Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pDf8aAtkzfsWY6Tkr7B2DnI6kGUz+H6NcONdaQOnNXUa1wXh0GxAFaxX0E4oZxPYZiMxqo7Pww1ETjujMO82Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:39.910766Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.06736","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:07a34e538639374f0ef1b9548446fa4abf622d18efac1770cabdc8bf5ca97ec8","sha256:5e8ec0507d9dbf7634ad1113bd0652463f4893cefbdf79df7b93c7e6161babf9"],"state_sha256":"60d3e45815bd829f6ac24788c48f0d5a547b61fdf68212907b44448b04f9b302"}