{"as_of":"2026-08-08T15:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d529f6b8464d8735765a929aa671e03320746b5b4c77d24da24f03e888bba66c","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T10:46:04.865963Z","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":"2026-08-06T10:46:05.893204Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2206.10745","last_updated":"2023-10-16T22:00:53Z","snapshot_observed_at":"2026-08-04T22:55:35.688408Z","submitted_at":"2022-06-21T21:40:01Z","title":"Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning","version":4},"cited_work":{"arxiv_id":"2206.10745","doi":null,"metadata_source":"pith","pith_arxiv_id":"2206.10745","snapshot_observed_at":"2026-08-06T10:46:05.893204Z","title":"Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning","venue":"math.NA","work_id":"9c92b10b-e9c5-4b68-892e-8357290a6028","year":2022},"citing_paper":{"arxiv_id":"2507.23662","last_updated":"2025-07-31T15:40:14Z","snapshot_observed_at":"2026-08-06T17:42:56.033649Z","submitted_at":"2025-07-31T15:40:14Z","title":"Modeling turbulent and self-gravitating fluids with Fourier neural operators","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T10:46:04.865963Z"},"links":{"cited_paper":"/paper/2206.10745","citing_paper":"/paper/2507.23662"},"observation_digest":"sha256:17e6616b9c1c5e1faa4544cc9c9a124d83c3db21a061760fa67d3e8ab604ff33","observation_id":"9f2a30a2-7b5e-45eb-960c-65bc5997416a","resolution":{"observed_at":"2026-08-06T10:46:05.899148Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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/2206.10745/citation-record","integrity":"/paper/2206.10745/integrity","json":"/paper/2206.10745/citation-record.json","paper":"/paper/2206.10745"},"outbound":[],"paper":{"arxiv_id":"2206.10745","last_updated":"2023-10-16T22:00:53Z","latest_version":4,"primary_category":"math.NA","snapshot_observed_at":"2026-08-04T22:55:35.688408Z","submitted_at":"2022-06-21T21:40:01Z","title":"Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2206.10745."}