Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2109.02183.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:49:13.968939Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T17:45:27.001118Z
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 7d99275b-8ccf-4845-a67e-2a73790fbc2b · inbound
A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions cites this paper.
A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:49:13.968939Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e9d77a2-b881-4e65-9582-787a1ac32242 · inbound
FENN: Feature-enhanced neural network for solving partial differential equations involving fluid mechanics cites this paper.
FENN: Feature-enhanced neural network for solving partial differential equations involving fluid mechanics Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T17:45:27.010687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.