{"as_of":"2026-08-08T00:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:002f9ebd7b2efa48b73aff53c6228a83303d06e0efc8d5a640a5edcc02532022","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":"2026-08-07T06:34:17.273281+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":"2026-08-06T22:52:51.022798Z","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":"2026-08-06T00:48:25.120480Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.14378","last_updated":"2024-11-21T18:13:03Z","snapshot_observed_at":"2026-07-06T19:53:56.407834Z","submitted_at":"2024-11-21T18:13:03Z","title":"CoNFiLD-inlet: Synthetic Turbulence Inflow Using Generative Latent Diffusion Models with Neural Fields","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.14378","snapshot_observed_at":"2026-08-06T22:52:51.022798Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.20771","last_updated":"2026-06-27T01:54:59Z","snapshot_observed_at":"2026-08-06T22:39:44.436399Z","submitted_at":"2025-06-25T19:04:02Z","title":"Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T22:52:51.022798Z"},"links":{"cited_paper":"/paper/2411.14378","citing_paper":"/paper/2506.20771"},"observation_digest":"sha256:f3836f64781e6922b631ccec11d412aabd48b5ac08d139c6104a81be03ed1eba","observation_id":"4896820c-8363-4ef5-bc8b-0b3187bc1a5a","resolution":{"observed_at":"2026-08-06T22:52:51.022798Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.14378","last_updated":"2024-11-21T18:13:03Z","snapshot_observed_at":"2026-07-06T19:53:56.407834Z","submitted_at":"2024-11-21T18:13:03Z","title":"CoNFiLD-inlet: Synthetic Turbulence Inflow Using Generative Latent Diffusion Models with Neural Fields","version":1},"cited_work":{"arxiv_id":"2411.14378","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.14378","snapshot_observed_at":"2026-08-06T00:48:25.120480Z","title":"CoNFiLD-inlet: Synthetic Turbulence Inflow Using Generative Latent Diffusion Models with Neural Fields","venue":"physics.flu-dyn","work_id":"2539210e-2515-4ebb-b649-443e9c11c801","year":2024},"citing_paper":{"arxiv_id":"2508.04318","last_updated":"2025-08-06T11:05:23Z","snapshot_observed_at":"2026-08-06T00:48:13.970490Z","submitted_at":"2025-08-06T11:05:23Z","title":"Turbulent Injection assisted by Diffusion Models for Scale Resolving Simulations","version":1},"reference_index":1088,"source":"pdf_text","source_observed_at":"2026-08-06T00:48:19.610631Z"},"links":{"cited_paper":"/paper/2411.14378","citing_paper":"/paper/2508.04318"},"observation_digest":"sha256:6c1b1da143ec6fea10f25e162a89d88b107f48c4c5b78b27ba9372a6f2c465ed","observation_id":"a6bb1b9a-54e6-4672-bfc0-c5547faa5ed8","resolution":{"observed_at":"2026-08-06T00:48:25.198802Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.14378/citation-record","integrity":"/paper/2411.14378/integrity","json":"/paper/2411.14378/citation-record.json","paper":"/paper/2411.14378"},"outbound":[],"paper":{"arxiv_id":"2411.14378","last_updated":"2024-11-21T18:13:03Z","latest_version":1,"primary_category":"physics.flu-dyn","snapshot_observed_at":"2026-07-06T19:53:56.407834Z","submitted_at":"2024-11-21T18:13:03Z","title":"CoNFiLD-inlet: Synthetic Turbulence Inflow Using Generative Latent Diffusion Models with Neural Fields"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.14378."}