{"as_of":"2026-08-10T20:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:11b6fd3c9ce76718a8938cf40a94467b6bef5b0bef73a461d812a56692cd49fa","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":"2026-08-10T06:31:04.303077+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":"2026-07-13T20:27:45.196743Z","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":"2026-07-14T00:15:01.244158Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1808.09379","last_updated":"2018-08-28T16:04:08Z","snapshot_observed_at":"2026-08-06T09:39:58.145903Z","submitted_at":"2018-08-28T16:04:08Z","title":"A transport-based multifidelity preconditioner for Markov chain Monte Carlo","version":1},"cited_work":{"arxiv_id":"1808.09379","doi":"10.48550/arxiv.1808.09379accessed:","metadata_source":"pith","pith_arxiv_id":"1808.09379","snapshot_observed_at":"2026-07-14T00:15:01.244158Z","title":"A transport-based multifidelity preconditioner for Markov chain Monte Carlo","venue":"math.NA","work_id":"1e089bb6-0968-494b-ab25-1208f9017f25","year":2018},"citing_paper":{"arxiv_id":"2603.22050","last_updated":"2026-06-24T13:15:28Z","snapshot_observed_at":"2026-08-08T12:54:20.093424Z","submitted_at":"2026-03-23T14:49:38Z","title":"Multifidelity-Augmented Gaussian Process Inputs for Surrogate Modeling from Scarce Data","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-13T20:27:45.196743Z"},"links":{"cited_paper":"/paper/1808.09379","citing_paper":"/paper/2603.22050"},"observation_digest":"sha256:ef752b7c43eab69b36ede3450fcb72f3e583d6b12f4d13b82f74cb32f4c11e20","observation_id":"7a295596-791a-46f3-a99c-51ef7052ba59","resolution":{"observed_at":"2026-07-13T20:29:53.420949Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/1808.09379/citation-record","integrity":"/paper/1808.09379/integrity","json":"/paper/1808.09379/citation-record.json","paper":"/paper/1808.09379"},"outbound":[],"paper":{"arxiv_id":"1808.09379","last_updated":"2018-08-28T16:04:08Z","latest_version":1,"primary_category":"math.NA","snapshot_observed_at":"2026-08-06T09:39:58.145903Z","submitted_at":"2018-08-28T16:04:08Z","title":"A transport-based multifidelity preconditioner for Markov chain Monte Carlo"},"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 1 inbound Pith citation observation for arXiv:1808.09379."}