{"as_of":"2026-08-09T15:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:948138786e0da85283a131f403830a90cbd380febeba2e61f575c0d7221668fe","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T05:43:46.755252Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T00:15:52.219587Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1906.00816","last_updated":"2021-01-21T11:03:16Z","snapshot_observed_at":"2026-07-06T07:57:32.030864Z","submitted_at":"2019-06-03T13:51:51Z","title":"Bayesian Evidential Deep Learning with PAC Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.00816","snapshot_observed_at":"2026-08-03T05:43:46.755252Z","title":"Bayesian evidential deep learning with PAC regularization","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2602.01477","last_updated":"2026-07-17T13:59:21Z","snapshot_observed_at":"2026-08-08T16:21:49.335577Z","submitted_at":"2026-02-01T22:57:39Z","title":"Density-Informed Pseudo-Counts for Calibrated Evidential Deep Learning","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T05:43:46.755252Z"},"links":{"cited_paper":"/paper/1906.00816","citing_paper":"/paper/2602.01477"},"observation_digest":"sha256:dd7d134316c555f818063c4d0bdf8c04a796f5a340361821bf6a6e421bc7a675","observation_id":"1dd33cc9-9d14-4b7d-ad6b-c5b468e27621","resolution":{"observed_at":"2026-08-03T05:43:46.755252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.00816","last_updated":"2021-01-21T11:03:16Z","snapshot_observed_at":"2026-07-06T07:57:32.030864Z","submitted_at":"2019-06-03T13:51:51Z","title":"Bayesian Evidential Deep Learning with PAC Regularization","version":3},"cited_work":{"arxiv_id":"1906.00816","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1906.00816","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"https://arxiv.org/abs/1906.00816","venue":null,"work_id":"25a966ea-f859-49ef-a053-0e43d0f40f3d","year":2021},"citing_paper":{"arxiv_id":"2604.06032","last_updated":"2026-04-07T16:28:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-07T16:28:20Z","title":"Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-10T18:38:30.129473Z"},"links":{"cited_paper":"/paper/1906.00816","citing_paper":"/paper/2604.06032"},"observation_digest":"sha256:22ff5ef80ac4698a658ebaa826f802c536ca2b01de980e4b7f6336e0490463de","observation_id":"51ddb574-a279-4ffc-a234-d9d453e87ef4","resolution":{"observed_at":"2026-05-11T00:15:52.229349Z","resolver_source":"arxiv_id","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/1906.00816/citation-record","integrity":"/paper/1906.00816/integrity","json":"/paper/1906.00816/citation-record.json","paper":"/paper/1906.00816"},"outbound":[],"paper":{"arxiv_id":"1906.00816","last_updated":"2021-01-21T11:03:16Z","latest_version":3,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-06T07:57:32.030864Z","submitted_at":"2019-06-03T13:51:51Z","title":"Bayesian Evidential Deep Learning with PAC Regularization"},"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 2 inbound Pith citation observations for arXiv:1906.00816."}