Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.02965.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:52:23.037348Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T19:39:40.513089Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 3b74c719-682a-480a-b354-20b4bef3cda9 · inbound
Active Learning of Model Discrepancy with Bayesian Experimental Design cites this paper.
Active Learning of Model Discrepancy with Bayesian Experimental Design Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T19:39:40.519062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b69525d2-48bc-4b48-8e6f-d1100d815454 · inbound
Conditional flow matching for generative modeling of near-wall turbulence with quantified uncertainty cites this paper.
Conditional flow matching for generative modeling of near-wall turbulence with quantified uncertainty Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:52:23.037348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.