Paper Citation Record · LEDGER

Physics-informed Kolmogorov-Arnold Network with Chebyshev Polynomials for Fluid Mechanics

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.04516.

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

pith.paper-citation-record.v1
2411.04516 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:41:34.453631Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T12:48:11.226464Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 50b6f878-a269-41ee-a046-77b8f0b2d59a · inbound

Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement cites this paper.

Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement Physics-informed Kolmogorov-Arnold Network with Chebyshev Polynomials for Fluid Mechanics

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T14:41:34.453631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0436deb7-4691-43ff-80fd-97411a427527 · inbound

Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs cites this paper.

Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs Physics-informed Kolmogorov-Arnold Network with Chebyshev Polynomials for Fluid Mechanics

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:44.606135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b68c0bc-4ac9-4e2e-821a-dd889ea7758f · inbound

Physics-informed Fourier Basis Neural Network for Fluid Mechanics cites this paper.

Physics-informed Fourier Basis Neural Network for Fluid Mechanics Physics-informed Kolmogorov-Arnold Network with Chebyshev Polynomials for Fluid Mechanics

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T05:15:42.357456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 201186a2-9059-46a5-bf60-89d53f557d36 · inbound

A Practitioner's Guide to Kolmogorov-Arnold Networks cites this paper.

A Practitioner's Guide to Kolmogorov-Arnold Networks Physics-informed Kolmogorov-Arnold Network with Chebyshev Polynomials for Fluid Mechanics

Reference 204

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.580906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5d01197a-58e5-4229-bcd7-b811deeca785 · inbound

Neural Spectral Element Methods for stiff multiphysics PDEs with electrochemical transport benchmarks cites this paper.

Neural Spectral Element Methods for stiff multiphysics PDEs with electrochemical transport benchmarks Physics-informed Kolmogorov-Arnold Network with Chebyshev Polynomials for Fluid Mechanics

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:16:23.971799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5bf08f3e-c5ae-47f1-a814-6de7e59a0aee · inbound

Hyperbolicity-Preserving Stochastic Galerkin Methods for Conservation Laws Based on Associative Truncated Products on Polynomial Spaces cites this paper.

Hyperbolicity-Preserving Stochastic Galerkin Methods for Conservation Laws Based on Associative Truncated Products on Polynomial Spaces Physics-informed Kolmogorov-Arnold Network with Chebyshev Polynomials for Fluid Mechanics

Reference 186

Resolution: verified exact; arxiv_id, observed 2026-07-03T12:48:11.227712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.