{"as_of":"2026-08-08T17:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cadbc09dc8a9ffd6eb712a8cd9e092b4c2f9fa2317ca127ceaf7a5f98426be25","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T18:10:17.917479Z","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":"2026-08-06T18:11:14.327873Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1805.00216","last_updated":"2019-05-30T04:23:31Z","snapshot_observed_at":"2026-07-06T06:36:36.223533Z","submitted_at":"2018-05-01T07:20:46Z","title":"Privately Learning High-Dimensional Distributions","version":3},"cited_work":{"arxiv_id":"1805.00216","doi":null,"metadata_source":"pith","pith_arxiv_id":"1805.00216","snapshot_observed_at":"2026-08-06T18:11:14.327873Z","title":"Privately Learning High-Dimensional Distributions","venue":"cs.DS","work_id":"92a6923e-c10f-4a7f-9361-375bf08ae929","year":2018},"citing_paper":{"arxiv_id":"2507.09388","last_updated":"2025-07-12T20:09:28Z","snapshot_observed_at":"2026-08-08T11:31:46.699496Z","submitted_at":"2025-07-12T20:09:28Z","title":"Optimal Differentially Private Ranking from Pairwise Comparisons","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T18:10:17.917479Z"},"links":{"cited_paper":"/paper/1805.00216","citing_paper":"/paper/2507.09388"},"observation_digest":"sha256:448d3bfc94126d199a9ee40a3768a4000d9c40dade5570f96a7929dcd0d78064","observation_id":"e65e5d17-c559-42f9-8066-db2615e2cc18","resolution":{"observed_at":"2026-08-06T18:11:14.365206Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1805.00216/citation-record","integrity":"/paper/1805.00216/integrity","json":"/paper/1805.00216/citation-record.json","paper":"/paper/1805.00216"},"outbound":[],"paper":{"arxiv_id":"1805.00216","last_updated":"2019-05-30T04:23:31Z","latest_version":3,"primary_category":"cs.DS","snapshot_observed_at":"2026-07-06T06:36:36.223533Z","submitted_at":"2018-05-01T07:20:46Z","title":"Privately Learning High-Dimensional Distributions"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1805.00216."}