{"as_of":"2026-08-18T11:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a16c3746de4f7f2837dc118845e8c993053315e0018e165ad4ecd8e60c615a70","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":"2026-08-18T06:34:40.430872+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":"2026-08-15T21:28:23.673461Z","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":"2026-08-06T14:35:06.153711Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1909.05167","last_updated":"2022-08-25T04:53:43Z","snapshot_observed_at":"2026-08-17T15:37:30.876157Z","submitted_at":"2019-09-11T16:11:44Z","title":"FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.05167","snapshot_observed_at":"2026-08-15T21:28:23.673461Z","title":"Fat forensics: a python toolbox for algorithmic fairness, accountability a nd transparency","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2505.09802","last_updated":"2025-05-14T20:58:26Z","snapshot_observed_at":"2026-08-15T21:21:37.404866Z","submitted_at":"2025-05-14T20:58:26Z","title":"What Makes a Fairness Tool Project Sustainable in Open Source?","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-15T21:28:23.673461Z"},"links":{"cited_paper":"/paper/1909.05167","citing_paper":"/paper/2505.09802"},"observation_digest":"sha256:c111be244bd6e9c780a36bf2a557b1480d1ec29e42ee82972516aff05a3c75f4","observation_id":"72995893-e9a5-4425-9f89-7747b5db8e1b","resolution":{"observed_at":"2026-08-15T21:28:23.673461Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.05167","last_updated":"2022-08-25T04:53:43Z","snapshot_observed_at":"2026-08-17T15:37:30.876157Z","submitted_at":"2019-09-11T16:11:44Z","title":"FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency","version":3},"cited_work":{"arxiv_id":"1909.05167","doi":null,"metadata_source":"pith","pith_arxiv_id":"1909.05167","snapshot_observed_at":"2026-08-06T14:35:06.153711Z","title":"FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency","venue":"cs.LG","work_id":"253be06e-dd72-4a79-8bf6-12bcdf9c8f8d","year":2019},"citing_paper":{"arxiv_id":"2507.18726","last_updated":"2025-07-24T18:16:44Z","snapshot_observed_at":"2026-08-10T04:10:29.680693Z","submitted_at":"2025-07-24T18:16:44Z","title":"Exploring the Landscape of Fairness Interventions in Software Engineering","version":1},"reference_index":102,"source":"pdf_text","source_observed_at":"2026-08-06T14:35:05.957528Z"},"links":{"cited_paper":"/paper/1909.05167","citing_paper":"/paper/2507.18726"},"observation_digest":"sha256:f59f638fa49291029b972ecf2026139a2e01a5191e10284cea41e758eb0b9d29","observation_id":"75069ec3-8fda-4910-842f-3080499d2bad","resolution":{"observed_at":"2026-08-06T14:35:06.159163Z","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/1909.05167/citation-record","integrity":"/paper/1909.05167/integrity","json":"/paper/1909.05167/citation-record.json","paper":"/paper/1909.05167"},"outbound":[],"paper":{"arxiv_id":"1909.05167","last_updated":"2022-08-25T04:53:43Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T15:37:30.876157Z","submitted_at":"2019-09-11T16:11:44Z","title":"FAT Forensics: A Python Toolbox for Algorithmic Fairness, Accountability and Transparency"},"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 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.05167."}