{"as_of":"2026-08-11T10:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:98b009fdf881b0e23b2b291deeb9a797f418efb06af14adcdb784fe419045198","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":"2026-06-26T06:07:45.509382Z","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":"2026-07-04T12:49:51.943842Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2006.06879","last_updated":"2022-06-17T13:19:33Z","snapshot_observed_at":"2026-08-04T12:26:20.736242Z","submitted_at":"2020-06-11T23:57:55Z","title":"Active Sampling for Min-Max Fairness","version":3},"cited_work":{"arxiv_id":"2006.06879","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.06879","snapshot_observed_at":"2026-07-04T12:49:51.943842Z","title":"Active sampling for min-max fairness.arXiv preprint arXiv:2006.06879, 2020","venue":null,"work_id":"cef4a49f-0020-4a5f-a648-6c8d19f2f69a","year":2006},"citing_paper":{"arxiv_id":"2605.09471","last_updated":"2026-05-10T10:56:59Z","snapshot_observed_at":"2026-08-05T20:10:28.703944Z","submitted_at":"2026-05-10T10:56:59Z","title":"The Statistical Cost of Adaptation in Multi-Source Transfer Learning","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-05-12T04:19:05.837824Z"},"links":{"cited_paper":"/paper/2006.06879","citing_paper":"/paper/2605.09471"},"observation_digest":"sha256:6d27a418c6831f0b26135ee3ca2025d536448b772c94d9701fab1e8a86cffeca","observation_id":"b325a2b3-0b07-453d-9ab0-b326fbe6c334","resolution":{"observed_at":"2026-05-12T06:26:23.316176Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2006.06879","last_updated":"2022-06-17T13:19:33Z","snapshot_observed_at":"2026-08-04T12:26:20.736242Z","submitted_at":"2020-06-11T23:57:55Z","title":"Active Sampling for Min-Max Fairness","version":3},"cited_work":{"arxiv_id":"2006.06879","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.06879","snapshot_observed_at":"2026-07-04T12:49:51.943842Z","title":"Active sampling for min-max fairness.arXiv preprint arXiv:2006.06879, 2020","venue":null,"work_id":"cef4a49f-0020-4a5f-a648-6c8d19f2f69a","year":2006},"citing_paper":{"arxiv_id":"2606.23515","last_updated":"2026-06-22T16:02:08Z","snapshot_observed_at":"2026-08-03T17:40:36.411922Z","submitted_at":"2026-06-22T16:02:08Z","title":"FairBED: A Bayesian Experimental Design Approach to Gathering Fairer Data","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T06:07:45.509382Z"},"links":{"cited_paper":"/paper/2006.06879","citing_paper":"/paper/2606.23515"},"observation_digest":"sha256:4c84332d3cb4ebdfecbae90f88c6092a469efdfc06be069ea6aae01d25f14452","observation_id":"62edc5c3-bf10-43d3-a5d7-b3e21db30965","resolution":{"observed_at":"2026-07-04T12:49:51.945297Z","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/2006.06879/citation-record","integrity":"/paper/2006.06879/integrity","json":"/paper/2006.06879/citation-record.json","paper":"/paper/2006.06879"},"outbound":[],"paper":{"arxiv_id":"2006.06879","last_updated":"2022-06-17T13:19:33Z","latest_version":3,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-04T12:26:20.736242Z","submitted_at":"2020-06-11T23:57:55Z","title":"Active Sampling for Min-Max Fairness"},"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:2006.06879."}