{"as_of":"2026-08-10T10:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b8f458558756b7f6e135530ced4cba2c8694804b548988800b4ab9ba4ade7537","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":"2026-08-10T06:31:04.303077+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":"2026-08-06T19:41:23.107788Z","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":"2026-08-06T19:41:23.327846Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.03721","last_updated":"2023-11-07T04:55:36Z","snapshot_observed_at":"2026-07-06T16:44:03.023664Z","submitted_at":"2023-11-07T04:55:36Z","title":"ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning","version":1},"cited_work":{"arxiv_id":"2311.03721","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.03721","snapshot_observed_at":"2026-08-06T19:41:23.327846Z","title":"ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning","venue":"cs.LG","work_id":"320bd811-e35f-4cc6-9d19-007ba8c2d5ce","year":2023},"citing_paper":{"arxiv_id":"2507.04930","last_updated":"2025-07-07T12:25:14Z","snapshot_observed_at":"2026-08-09T19:53:04.321126Z","submitted_at":"2025-07-07T12:25:14Z","title":"RainShift: A Benchmark for Precipitation Downscaling Across Geographies","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T19:41:23.107788Z"},"links":{"cited_paper":"/paper/2311.03721","citing_paper":"/paper/2507.04930"},"observation_digest":"sha256:dde8126caaa86fa0a9896ef1a4d8a67f3a15b7cc180d114c451fc04950f39254","observation_id":"8936f6a3-8f64-4892-b21c-e40f1e34a5c0","resolution":{"observed_at":"2026-08-06T19:41:23.335372Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.03721","last_updated":"2023-11-07T04:55:36Z","snapshot_observed_at":"2026-07-06T16:44:03.023664Z","submitted_at":"2023-11-07T04:55:36Z","title":"ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.03721","snapshot_observed_at":"2026-08-02T18:44:34.863651Z","title":"https://arxiv.org/abs/2311.03721","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.05710","last_updated":"2026-07-29T14:45:48Z","snapshot_observed_at":"2026-08-08T21:15:07.799633Z","submitted_at":"2026-03-05T22:07:21Z","title":"The Rise of AI in Weather and Climate Information and its Impact on Global Inequality","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-02T18:44:34.863651Z"},"links":{"cited_paper":"/paper/2311.03721","citing_paper":"/paper/2603.05710"},"observation_digest":"sha256:709a8344857c8507b6ca95bdb7965d01c46af871d3a35ab3d35c10b04549d3c3","observation_id":"1a43698c-49fb-451b-92e2-f850f8d2bd39","resolution":{"observed_at":"2026-08-02T18:44:34.863651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2311.03721/citation-record","integrity":"/paper/2311.03721/integrity","json":"/paper/2311.03721/citation-record.json","paper":"/paper/2311.03721"},"outbound":[],"paper":{"arxiv_id":"2311.03721","last_updated":"2023-11-07T04:55:36Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T16:44:03.023664Z","submitted_at":"2023-11-07T04:55:36Z","title":"ClimateSet: A Large-Scale Climate Model Dataset for Machine Learning"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.03721."}