{"as_of":"2026-08-13T06:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a54243adbbab6396e3a1f79696cd50258cc258a6acb5c2cc6a782b83a02d595e","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":"2026-08-13T06:32:02.005865+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":"2026-08-12T00:13:13.744637Z","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":"2026-08-12T00:13:14.221717Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1407.2635","last_updated":"2014-07-09T20:50:23Z","snapshot_observed_at":"2026-08-13T01:57:01.945179Z","submitted_at":"2014-07-09T20:50:23Z","title":"Nonparametric empirical Bayes and maximum likelihood estimation for high-dimensional data analysis","version":1},"cited_work":{"arxiv_id":"1407.2635","doi":null,"metadata_source":"pith","pith_arxiv_id":"1407.2635","snapshot_observed_at":"2026-08-12T00:13:14.221717Z","title":"Nonparametric empirical Bayes and maximum likelihood estimation for high-dimensional data analysis","venue":"stat.ME","work_id":"21fd5112-fd7b-4ca3-9dfb-6f2a7502b4b7","year":2014},"citing_paper":{"arxiv_id":"2608.09074","last_updated":"2026-08-10T03:23:31Z","snapshot_observed_at":"2026-08-13T06:17:34.618329Z","submitted_at":"2026-08-10T03:23:31Z","title":"Personalized Federated Learning via Variance-Aware Nonparametric Empirical Bayes","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:13.744637Z"},"links":{"cited_paper":"/paper/1407.2635","citing_paper":"/paper/2608.09074"},"observation_digest":"sha256:5d5619baa09b3640a62a4cf95789d5aa8224a83993076245c8a7d40fe3e7e296","observation_id":"9db0602e-7fdb-4ae7-a8cf-2c02cca3b774","resolution":{"observed_at":"2026-08-12T00:13:14.228190Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1407.2635/citation-record","integrity":"/paper/1407.2635/integrity","json":"/paper/1407.2635/citation-record.json","paper":"/paper/1407.2635"},"outbound":[],"paper":{"arxiv_id":"1407.2635","last_updated":"2014-07-09T20:50:23Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-13T01:57:01.945179Z","submitted_at":"2014-07-09T20:50:23Z","title":"Nonparametric empirical Bayes and maximum likelihood estimation for high-dimensional data analysis"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1407.2635."}