{"as_of":"2026-08-11T13:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:af7763dcaa474045dfa602ab7066b065bd38e89323c404ac5986862be969645b","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T15:01:05.598391Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-12T05:41:25.525931Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1911.01468","last_updated":"2020-06-08T16:41:23Z","snapshot_observed_at":"2026-08-11T07:00:30.979199Z","submitted_at":"2019-11-04T19:55:23Z","title":"Auditing and Achieving Intersectional Fairness in Classification Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.01468","snapshot_observed_at":"2026-08-10T15:01:05.598391Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.14710","last_updated":"2025-01-24T18:33:18Z","snapshot_observed_at":"2026-08-11T07:15:14.792837Z","submitted_at":"2025-01-24T18:33:18Z","title":"Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T15:01:05.598391Z"},"links":{"cited_paper":"/paper/1911.01468","citing_paper":"/paper/2501.14710"},"observation_digest":"sha256:0e6cded588dd09ea11461f9ceeef6fd07af1da154e60b1f2bce729d7d297588c","observation_id":"5ff42ee2-d7e4-4f5e-b131-e0ab9f9ef887","resolution":{"observed_at":"2026-08-10T15:01:05.598391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.01468","last_updated":"2020-06-08T16:41:23Z","snapshot_observed_at":"2026-08-11T07:00:30.979199Z","submitted_at":"2019-11-04T19:55:23Z","title":"Auditing and Achieving Intersectional Fairness in Classification Problems","version":2},"cited_work":{"arxiv_id":"1911.01468","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1911.01468","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Auditing and achieving intersectional fairness in classification problems","venue":null,"work_id":"30b64d11-37ef-4a73-bb91-30c52598d18b","year":1911},"citing_paper":{"arxiv_id":"2605.09852","last_updated":"2026-05-11T01:09:06Z","snapshot_observed_at":"2026-08-11T06:14:39.602979Z","submitted_at":"2026-05-11T01:09:06Z","title":"Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-12T05:04:40.193388Z"},"links":{"cited_paper":"/paper/1911.01468","citing_paper":"/paper/2605.09852"},"observation_digest":"sha256:972b27a176ca0dc2fda130eff34c1a2fc5af048dfa838f40c6cb83bf6b655035","observation_id":"83440291-5e34-47bf-b988-d06239ba6f95","resolution":{"observed_at":"2026-05-12T05:41:25.530909Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1911.01468/citation-record","integrity":"/paper/1911.01468/integrity","json":"/paper/1911.01468/citation-record.json","paper":"/paper/1911.01468"},"outbound":[],"paper":{"arxiv_id":"1911.01468","last_updated":"2020-06-08T16:41:23Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T07:00:30.979199Z","submitted_at":"2019-11-04T19:55:23Z","title":"Auditing and Achieving Intersectional Fairness in Classification Problems"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.01468."}