{"as_of":"2026-08-21T08:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a185f1f5bda4635ea97edc4fa5c7c88c64f2abd311a93388637b12c849b9be47","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":"2026-08-21T06:32:19.484+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":"2026-08-10T22:31:35.743455Z","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":"2026-08-06T17:15:43.203595Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2112.05675","last_updated":"2022-02-10T22:09:33Z","snapshot_observed_at":"2026-08-16T17:35:33.907653Z","submitted_at":"2021-12-10T17:14:34Z","title":"Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.05675","snapshot_observed_at":"2026-08-10T22:31:35.743455Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.01397","last_updated":"2025-04-29T03:07:02Z","snapshot_observed_at":"2026-08-13T00:15:04.369894Z","submitted_at":"2025-01-02T18:16:26Z","title":"WeAudit: Scaffolding User Auditors and AI Practitioners in Auditing Generative AI","version":4},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-10T22:31:35.743455Z"},"links":{"cited_paper":"/paper/2112.05675","citing_paper":"/paper/2501.01397"},"observation_digest":"sha256:edad40d7d394d86cee404899241b0b5668461690d28106499d3a39038b17ef99","observation_id":"ef44da0c-bbb2-4d3c-a492-cc4b7bed87c4","resolution":{"observed_at":"2026-08-10T22:31:35.743455Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.05675","last_updated":"2022-02-10T22:09:33Z","snapshot_observed_at":"2026-08-16T17:35:33.907653Z","submitted_at":"2021-12-10T17:14:34Z","title":"Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support","version":2},"cited_work":{"arxiv_id":"2112.05675","doi":null,"metadata_source":"pith","pith_arxiv_id":"2112.05675","snapshot_observed_at":"2026-08-06T17:15:43.203595Z","title":"Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support","venue":"cs.AI","work_id":"7088ec57-7377-454e-a015-e648c5c06937","year":2021},"citing_paper":{"arxiv_id":"2507.11490","last_updated":"2025-07-15T17:02:39Z","snapshot_observed_at":"2026-08-15T19:01:14.615556Z","submitted_at":"2025-07-15T17:02:39Z","title":"Towards Creating Infrastructures for Values and Ethics Work in the Production of Software Technologies","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-06T17:14:50.463918Z"},"links":{"cited_paper":"/paper/2112.05675","citing_paper":"/paper/2507.11490"},"observation_digest":"sha256:36d51d80e8d4bf10755d1d116b5e4ea64b01165e6709c9707bf928eae1e43dbb","observation_id":"e87b11af-18f3-49ab-9ef2-5216f781cd71","resolution":{"observed_at":"2026-08-06T17:15:43.209225Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2112.05675/citation-record","integrity":"/paper/2112.05675/integrity","json":"/paper/2112.05675/citation-record.json","paper":"/paper/2112.05675"},"outbound":[],"paper":{"arxiv_id":"2112.05675","last_updated":"2022-02-10T22:09:33Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-16T17:35:33.907653Z","submitted_at":"2021-12-10T17:14:34Z","title":"Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.05675."}