{"as_of":"2026-08-19T03:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2b130a46259cb64e3614ba98ca8e96caf1f0ef62016646815fe59e3a638f5694","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:32:28.070219Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-14T04:32:28.597553Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2002.10774","last_updated":"2020-02-26T11:28:34Z","snapshot_observed_at":"2026-08-19T00:07:46.368850Z","submitted_at":"2020-02-25T10:13:55Z","title":"Counterfactual fairness: removing direct effects through regularization","version":2},"cited_work":{"arxiv_id":"2002.10774","doi":null,"metadata_source":"pith","pith_arxiv_id":"2002.10774","snapshot_observed_at":"2026-08-14T04:32:28.597553Z","title":"Counterfactual fairness: removing direct effects through regularization","venue":"cs.AI","work_id":"a640907b-c52e-4d23-8e22-b4069268bd3d","year":2020},"citing_paper":{"arxiv_id":"2608.08743","last_updated":"2026-08-09T14:42:47Z","snapshot_observed_at":"2026-08-18T03:15:44.860509Z","submitted_at":"2026-08-09T14:42:47Z","title":"A Distribution Mapping Approach to Counterfactually Fair Reinforcement Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T04:32:28.070219Z"},"links":{"cited_paper":"/paper/2002.10774","citing_paper":"/paper/2608.08743"},"observation_digest":"sha256:a4cd99a0e14594756c7226f4c2560b8630fee7f563a6965ac1b8da99de0c56c0","observation_id":"85580858-90f7-443e-8f76-d73bde7c6cb9","resolution":{"observed_at":"2026-08-14T04:32:28.604866Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2002.10774/citation-record","integrity":"/paper/2002.10774/integrity","json":"/paper/2002.10774/citation-record.json","paper":"/paper/2002.10774"},"outbound":[],"paper":{"arxiv_id":"2002.10774","last_updated":"2020-02-26T11:28:34Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-19T00:07:46.368850Z","submitted_at":"2020-02-25T10:13:55Z","title":"Counterfactual fairness: removing direct effects through regularization"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2002.10774."}