{"as_of":"2026-08-07T09:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:de1c8b4903bb6ad75c2956762f1acda6e0aa6d8e3c04090ee6c17f52512f338a","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":"2026-08-07T06:34:17.273281+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":"2026-08-04T09:46:16.280974Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.07694","last_updated":"2024-02-12T15:01:42Z","snapshot_observed_at":"2026-07-06T17:28:56.092370Z","submitted_at":"2024-02-12T15:01:42Z","title":"Cosmology at the Field Level with Probabilistic Machine Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07694","snapshot_observed_at":"2026-08-04T09:46:16.280974Z","title":"Rouhiainen,Cosmology at the Field Level with Probabilistic Machine Learning,arXiv e-prints (2024) arXiv:2402.07694 [2402.07694]","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.14089","last_updated":"2026-06-11T13:09:31Z","snapshot_observed_at":"2026-08-06T08:03:16.019106Z","submitted_at":"2025-10-15T20:49:30Z","title":"Field-level likelihood for projected fields: Evolved projected fields from initial projected fields","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T09:46:16.280974Z"},"links":{"cited_paper":"/paper/2402.07694","citing_paper":"/paper/2510.14089"},"observation_digest":"sha256:ffa795f2e8fa3229bb32961d763b07191876905bbb746e1b065b2cebac11a8ef","observation_id":"7adcfb48-1f44-4265-bf5a-6763f9f0fe2a","resolution":{"observed_at":"2026-08-04T09:46:16.280974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.07694/citation-record","integrity":"/paper/2402.07694/integrity","json":"/paper/2402.07694/citation-record.json","paper":"/paper/2402.07694"},"outbound":[],"paper":{"arxiv_id":"2402.07694","last_updated":"2024-02-12T15:01:42Z","latest_version":1,"primary_category":"astro-ph.CO","snapshot_observed_at":"2026-07-06T17:28:56.092370Z","submitted_at":"2024-02-12T15:01:42Z","title":"Cosmology at the Field Level with Probabilistic 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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2402.07694."}