{"as_of":"2026-08-16T18:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b6b5ddd8226615bbcf07bf57f464da33d4188f2f6b88d9d4882818a2cd0057b6","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:54:19.060162Z","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":"2026-07-10T00:06:38.054601Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1404.1578","last_updated":"2019-07-06T19:36:11Z","snapshot_observed_at":"2026-08-14T23:38:30.743688Z","submitted_at":"2014-04-06T14:05:46Z","title":"Models as Approximations I: Consequences Illustrated with Linear Regression","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1404.1578","snapshot_observed_at":"2026-08-14T12:54:19.060162Z","title":"and Zhao, L","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.06431","last_updated":"2019-08-18T12:27:32Z","snapshot_observed_at":"2026-08-14T12:43:23.503257Z","submitted_at":"2019-08-18T12:27:32Z","title":"Semiparametric Expectile Regression for High-dimensional Heavy-tailed and Heterogeneous Data","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-14T12:54:19.060162Z"},"links":{"cited_paper":"/paper/1404.1578","citing_paper":"/paper/1908.06431"},"observation_digest":"sha256:7177cbd193b3968f471cc9d788f98a24ae37e00e0a158d15584ff2d6612a575a","observation_id":"ce49899d-600d-476a-8a4c-0f3c27b3a07e","resolution":{"observed_at":"2026-08-14T12:54:19.060162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1404.1578","last_updated":"2019-07-06T19:36:11Z","snapshot_observed_at":"2026-08-14T23:38:30.743688Z","submitted_at":"2014-04-06T14:05:46Z","title":"Models as Approximations I: Consequences Illustrated with Linear Regression","version":4},"cited_work":{"arxiv_id":"1404.1578","doi":null,"metadata_source":"pith","pith_arxiv_id":"1404.1578","snapshot_observed_at":"2026-07-10T00:06:38.054601Z","title":"Models as Approximations I: Consequences Illustrated with Linear Regression","venue":"stat.ME","work_id":"bd1a1cc4-f4ce-459c-abeb-cfd53d6c4f60","year":2014},"citing_paper":{"arxiv_id":"2606.05120","last_updated":"2026-06-04T16:32:01Z","snapshot_observed_at":"2026-08-06T15:20:46.982432Z","submitted_at":"2026-06-03T17:25:15Z","title":"Stochastic Sensitivity Analysis for Matched Observational Studies","version":2},"reference_index":222,"source":"arxiv_source","source_observed_at":"2026-06-28T04:53:18.131990Z"},"links":{"cited_paper":"/paper/1404.1578","citing_paper":"/paper/2606.05120"},"observation_digest":"sha256:0a8f8a31840a4bdb6d098d942464121c8f80aaeabca78edc3e6bc14660c1b318","observation_id":"b30e71ed-7100-43ae-baba-210af1395fa7","resolution":{"observed_at":"2026-07-02T10:46:52.861906Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1404.1578","last_updated":"2019-07-06T19:36:11Z","snapshot_observed_at":"2026-08-14T23:38:30.743688Z","submitted_at":"2014-04-06T14:05:46Z","title":"Models as Approximations I: Consequences Illustrated with Linear Regression","version":4},"cited_work":{"arxiv_id":"1404.1578","doi":null,"metadata_source":"pith","pith_arxiv_id":"1404.1578","snapshot_observed_at":"2026-07-10T00:06:38.054601Z","title":"Models as Approximations I: Consequences Illustrated with Linear Regression","venue":"stat.ME","work_id":"bd1a1cc4-f4ce-459c-abeb-cfd53d6c4f60","year":2014},"citing_paper":{"arxiv_id":"2607.06874","last_updated":"2026-07-08T00:13:20Z","snapshot_observed_at":"2026-08-03T05:10:35.565852Z","submitted_at":"2026-07-08T00:13:20Z","title":"Gaussian comparison above the median","version":1},"reference_index":223,"source":"arxiv_source","source_observed_at":"2026-07-09T23:57:41.760183Z"},"links":{"cited_paper":"/paper/1404.1578","citing_paper":"/paper/2607.06874"},"observation_digest":"sha256:6c1e1de547334ff1d3be429f601bf75947045aac12c0af77ddd7ad96df586b24","observation_id":"0799245d-ed6a-4df0-9a93-32d992abae07","resolution":{"observed_at":"2026-07-10T00:06:38.055808Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1404.1578/citation-record","integrity":"/paper/1404.1578/integrity","json":"/paper/1404.1578/citation-record.json","paper":"/paper/1404.1578"},"outbound":[],"paper":{"arxiv_id":"1404.1578","last_updated":"2019-07-06T19:36:11Z","latest_version":4,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-14T23:38:30.743688Z","submitted_at":"2014-04-06T14:05:46Z","title":"Models as Approximations I: Consequences Illustrated with Linear Regression"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1404.1578."}