{"as_of":"2026-08-08T08:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b7cc51efbed0538caad6bff080899fc3c62932a11499bb6bd22c30f451043101","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":"2026-08-07T12:14:21.284972Z","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":"2026-08-07T12:14:25.039432Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2105.04795","last_updated":"2021-05-11T06:05:45Z","snapshot_observed_at":"2026-08-06T16:31:03.913532Z","submitted_at":"2021-05-11T06:05:45Z","title":"Sketching in Bayesian High Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors","version":1},"cited_work":{"arxiv_id":"2105.04795","doi":null,"metadata_source":"pith","pith_arxiv_id":"2105.04795","snapshot_observed_at":"2026-08-07T12:14:25.039432Z","title":"Sketching in Bayesian High Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors","venue":"stat.ME","work_id":"7e29cb3e-d0b3-4683-a291-889db3c0b052","year":2021},"citing_paper":{"arxiv_id":"2506.00270","last_updated":"2025-05-30T22:09:06Z","snapshot_observed_at":"2026-08-07T12:06:39.468079Z","submitted_at":"2025-05-30T22:09:06Z","title":"Bayesian Data Sketching for Varying Coefficient Regression Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T12:14:21.284972Z"},"links":{"cited_paper":"/paper/2105.04795","citing_paper":"/paper/2506.00270"},"observation_digest":"sha256:55d911a4807ee3ddc617ea44ce89fbb6c54f86af760804e44b6bb59809dec238","observation_id":"517b7dbf-c43c-4ae2-a1ef-b7cfddffd26c","resolution":{"observed_at":"2026-08-07T12:14:25.106757Z","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/2105.04795/citation-record","integrity":"/paper/2105.04795/integrity","json":"/paper/2105.04795/citation-record.json","paper":"/paper/2105.04795"},"outbound":[],"paper":{"arxiv_id":"2105.04795","last_updated":"2021-05-11T06:05:45Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-06T16:31:03.913532Z","submitted_at":"2021-05-11T06:05:45Z","title":"Sketching in Bayesian High Dimensional Regression With Big Data Using Gaussian Scale Mixture Priors"},"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:2105.04795."}