Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2205.14249.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:42:48.033778Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T12:10:53.515095Z
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 48ca9496-5aa2-4240-90a1-df7aa51031ff · inbound
Sampling from Boltzmann densities with physics informed low-rank formats cites this paper.
Sampling from Boltzmann densities with physics informed low-rank formats Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:42:48.033778Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18e0276a-edc8-4fbf-b812-d192617be8b4 · inbound
Multi-Fidelity Machine Learning Applied to Steady Fluid Flows cites this paper.
Multi-Fidelity Machine Learning Applied to Steady Fluid Flows Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:59:44.957874Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b098efbc-39a7-406c-a880-844889c1addb · inbound
Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments cites this paper.
Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:14:53.475274Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5f1bedb1-8c34-4f10-b4ee-70d51b159967 · inbound
Quantum-Enhanced Convergence of Physics-Informed Neural Networks cites this paper.
Quantum-Enhanced Convergence of Physics-Informed Neural Networks Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T12:10:53.517822Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8de91b75-6de0-46c5-a414-8f57513d78cc · inbound
General Explicit Network (GEN): A novel deep learning architecture for solving partial differential equations cites this paper.
General Explicit Network (GEN): A novel deep learning architecture for solving partial differential equations Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T22:13:20.933790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.