{"as_of":"2026-08-14T23:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:77c11fd3e53228f790b2d5645135cd3cec6514701665b22b382ccbba74cbc583","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":"2026-08-14T06:32:32.682623+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":"2026-08-08T00:16:45.543879Z","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":"2026-08-08T00:16:46.277227Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2604.17149","last_updated":"2026-04-25T03:55:48Z","snapshot_observed_at":"2026-08-12T10:06:26.280397Z","submitted_at":"2026-04-18T21:17:00Z","title":"FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.17149","snapshot_observed_at":"2026-07-13T14:19:58.645410Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2604.07366","last_updated":"2026-06-02T01:50:58Z","snapshot_observed_at":"2026-08-11T03:53:13.712348Z","submitted_at":"2026-04-02T02:56:29Z","title":"Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-13T14:19:58.645410Z"},"links":{"cited_paper":"/paper/2604.17149","citing_paper":"/paper/2604.07366"},"observation_digest":"sha256:e910154481ad656d923e854e29185700de7a3f9d140604602c508bdd9dc4ba34","observation_id":"3975b515-54ff-45be-aa6b-7fb8dfd61be8","resolution":{"observed_at":"2026-07-13T14:19:58.645410Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.17149","last_updated":"2026-04-25T03:55:48Z","snapshot_observed_at":"2026-08-12T10:06:26.280397Z","submitted_at":"2026-04-18T21:17:00Z","title":"FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation","version":2},"cited_work":{"arxiv_id":"2604.17149","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.17149","snapshot_observed_at":"2026-08-08T00:16:46.277227Z","title":"FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation","venue":"physics.flu-dyn","work_id":"9685e65f-12f5-4aeb-99b1-1284befe4dba","year":2026},"citing_paper":{"arxiv_id":"2608.04222","last_updated":"2026-08-04T20:56:23Z","snapshot_observed_at":"2026-08-12T15:33:40.453029Z","submitted_at":"2026-08-04T20:56:23Z","title":"TIDE: A Physically Diverse 3D Turbulence Benchmark Dataset for Advancing Scientific Machine Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T00:16:45.543879Z"},"links":{"cited_paper":"/paper/2604.17149","citing_paper":"/paper/2608.04222"},"observation_digest":"sha256:90fb0a4219b2983e34a965d4e59f32451d99d92cb6dbb3ca6f913653399adeea","observation_id":"ee092d57-2da4-45bf-91f0-b1f0bb851ee2","resolution":{"observed_at":"2026-08-08T00:16:46.283183Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2604.17149/citation-record","integrity":"/paper/2604.17149/integrity","json":"/paper/2604.17149/citation-record.json","paper":"/paper/2604.17149"},"outbound":[],"paper":{"arxiv_id":"2604.17149","last_updated":"2026-04-25T03:55:48Z","latest_version":2,"primary_category":"physics.flu-dyn","snapshot_observed_at":"2026-08-12T10:06:26.280397Z","submitted_at":"2026-04-18T21:17:00Z","title":"FlowRefiner: Flow Matching-Based Iterative Refinement for 3D Turbulent Flow Simulation"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2604.17149."}