{"as_of":"2026-08-09T01:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6649df51359c990a167944c49e668f46feb2b83c98fbf61c93ab4a4b7a7f4cf3","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":"2026-08-08T06:32:00.761636+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":"2026-08-08T12:30:07.110577Z","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":"2026-05-20T08:03:08.881697Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.13458","last_updated":"2025-04-01T10:33:23Z","snapshot_observed_at":"2026-08-05T03:58:24.594477Z","submitted_at":"2024-03-20T10:07:51Z","title":"Uncertainty quantification for data-driven weather models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.13458","snapshot_observed_at":"2026-08-08T12:30:07.110577Z","title":"Uncertainty quantification for data-driven weather models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07532","last_updated":"2025-04-10T12:10:33Z","snapshot_observed_at":"2026-08-08T12:23:55.165218Z","submitted_at":"2025-02-11T13:15:16Z","title":"Diffusion-LAM: Probabilistic Limited Area Weather Forecasting with Diffusion","version":3},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-08T12:30:07.110577Z"},"links":{"cited_paper":"/paper/2403.13458","citing_paper":"/paper/2502.07532"},"observation_digest":"sha256:fb2bc49661b2af6991aab4cf2142d8ffbf408f0f4048e9cc0ec7d0aa2c99e7c9","observation_id":"275b7139-34e1-482f-ad86-415c81fb88ce","resolution":{"observed_at":"2026-08-08T12:30:07.110577Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.13458","last_updated":"2025-04-01T10:33:23Z","snapshot_observed_at":"2026-08-05T03:58:24.594477Z","submitted_at":"2024-03-20T10:07:51Z","title":"Uncertainty quantification for data-driven weather models","version":2},"cited_work":{"arxiv_id":"2403.13458","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.13458","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2403.13458 , year=","venue":null,"work_id":"2a5d3e52-40c2-4234-99f4-46ae0bef40d1","year":null},"citing_paper":{"arxiv_id":"2605.19366","last_updated":"2026-05-19T04:58:10Z","snapshot_observed_at":"2026-07-06T23:30:06.876413Z","submitted_at":"2026-05-19T04:58:10Z","title":"Accurate, Efficient, and Explainable Deep Learning Approaches for Environmental Science Problems","version":1},"reference_index":108,"source":"arxiv_source","source_observed_at":"2026-05-20T08:01:27.051916Z"},"links":{"cited_paper":"/paper/2403.13458","citing_paper":"/paper/2605.19366"},"observation_digest":"sha256:fccbb65cf85a42238239b5b2c64e76c9f983d929c1dc197aa426c831b6394f8a","observation_id":"c6d29956-c8bf-4a35-ac29-3f9cd0132927","resolution":{"observed_at":"2026-05-20T08:03:08.883852Z","resolver_source":"arxiv_id","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/2403.13458/citation-record","integrity":"/paper/2403.13458/integrity","json":"/paper/2403.13458/citation-record.json","paper":"/paper/2403.13458"},"outbound":[],"paper":{"arxiv_id":"2403.13458","last_updated":"2025-04-01T10:33:23Z","latest_version":2,"primary_category":"physics.ao-ph","snapshot_observed_at":"2026-08-05T03:58:24.594477Z","submitted_at":"2024-03-20T10:07:51Z","title":"Uncertainty quantification for data-driven weather models"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.13458."}