Paper Citation Record · LEDGER

Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2205.14249.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2205.14249 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:59:44.957874Z

measured 0 of 1 external citation measurements

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 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.