{"as_of":"2026-08-09T08:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:77ad5cbbcdd25eef089b6444a23be989947ad4ee3244cf989932ccb43fb19cd7","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T15:33:15.380567Z","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":"2026-08-07T15:33:18.590238Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.10007","last_updated":"2022-10-05T05:45:24Z","snapshot_observed_at":"2026-08-08T17:19:59.507348Z","submitted_at":"2022-02-21T06:08:39Z","title":"Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression","version":2},"cited_work":{"arxiv_id":"2202.10007","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.10007","snapshot_observed_at":"2026-08-07T15:33:18.590238Z","title":"Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression","venue":"stat.ME","work_id":"777d84bf-e1e8-4cd6-b3d8-2800d06b7dc5","year":2022},"citing_paper":{"arxiv_id":"2505.14958","last_updated":"2025-05-20T22:37:06Z","snapshot_observed_at":"2026-08-07T15:24:19.698749Z","submitted_at":"2025-05-20T22:37:06Z","title":"Modeling and prediction of mutation fitness on protein functionality with structural information using high-dimensional Potts model","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T15:33:15.380567Z"},"links":{"cited_paper":"/paper/2202.10007","citing_paper":"/paper/2505.14958"},"observation_digest":"sha256:54aff1ed21619ef22a895e9865ef34e0ebf7c3e49f5d0b34739ee8174ad00de8","observation_id":"f84bc448-f2d6-4054-8f93-e30fbc89a912","resolution":{"observed_at":"2026-08-07T15:33:18.660449Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2202.10007/citation-record","integrity":"/paper/2202.10007/integrity","json":"/paper/2202.10007/citation-record.json","paper":"/paper/2202.10007"},"outbound":[],"paper":{"arxiv_id":"2202.10007","last_updated":"2022-10-05T05:45:24Z","latest_version":2,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-08T17:19:59.507348Z","submitted_at":"2022-02-21T06:08:39Z","title":"Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2202.10007."}