Paper Citation Record · LEDGER

A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2406.02917.

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

pith.paper-citation-record.v1
2406.02917 v1

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measured 0 of 0 reference resolution

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measured 13 of 13 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:32:21.045518Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:44:48.287970Z

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Outbound references

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Pith citing papers

Observation 5a39b5a4-0f19-4003-a756-d70ae691a0f4 · inbound

Sinc Kolmogorov-Arnold network and its application for solving PDEs with singularities cites this paper.

Sinc Kolmogorov-Arnold network and its application for solving PDEs with singularities A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:43:22.982898Z

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 6754c3ac-d6e6-4533-91b7-410b767fdb6f · inbound

Scaled-cPIKANs: Domain Scaling in Chebyshev-based Physics-informed Kolmogorov-Arnold Networks cites this paper.

Scaled-cPIKANs: Domain Scaling in Chebyshev-based Physics-informed Kolmogorov-Arnold Networks A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T22:09:10.504802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d5e1b4-c62a-40e0-ae3a-1818f130cc73 · inbound

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling cites this paper.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T13:05:20.322044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cbc9139-6d97-4499-ba2a-a07ed31f8d0e · inbound

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting cites this paper.

TimeKAN: KAN-based Frequency Decomposition Learning Architecture for Long-term Time Series Forecasting A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T16:44:22.847176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f52f2bd-3c30-4940-b2b9-3cd7c7dadb6a · inbound

Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning cites this paper.

Conformalized-KANs: Uncertainty Quantification with Coverage Guarantees for Kolmogorov-Arnold Networks (KANs) in Scientific Machine Learning A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:32:21.045518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5213f60a-56e1-4a92-ae6c-62c654983778 · 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 A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 1958

Resolution: unresolved; no resolver link, observed 2026-08-07T14:41:35.446006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5310d57e-c7a2-4b33-a61b-eee47553cbd9 · inbound

FMEnets: Flow, Material, and Energy networks for non-ideal plug flow reactor design cites this paper.

FMEnets: Flow, Material, and Energy networks for non-ideal plug flow reactor design A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T22:48:54.689738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8444af0c-c2f2-434d-94d0-a55a44ac7eb1 · inbound

Kolmogorov-Arnold Network for Gene Regulatory Network Inference cites this paper.

Kolmogorov-Arnold Network for Gene Regulatory Network Inference A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T00:33:30.422119Z

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Unavailable: canonical work link unavailable.

Observation c95aed40-d7f2-4b23-a989-67c5faa68609 · inbound

High precision PINNs in unbounded domains: application to singularity formulation in PDEs cites this paper.

High precision PINNs in unbounded domains: application to singularity formulation in PDEs A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T18:41:25.002785Z

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Unavailable: canonical work link unavailable.

Observation 4caa1631-1145-4192-9c4a-b0c2bde857d7 · inbound

Probabilistic Predictions of Process-Induced Deformation in Carbon/Epoxy Composites Using a Deep Operator Network cites this paper.

Probabilistic Predictions of Process-Induced Deformation in Carbon/Epoxy Composites Using a Deep Operator Network A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:43:37.827373Z

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 7fd58aad-2157-4a8c-bdff-1a974e07b1dc · inbound

Fourier Feature Pyramids for Physics-Informed Neural Networks cites this paper.

Fourier Feature Pyramids for Physics-Informed Neural Networks A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:48.289595Z

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 f2300b72-c1b9-4994-b2f7-09d84d1b919f · inbound

PG-KINN: A Physics-Informed Petrov-Galerkin Kolmogorov-Arnold Network for Solving Forward and Inverse PDEs cites this paper.

PG-KINN: A Physics-Informed Petrov-Galerkin Kolmogorov-Arnold Network for Solving Forward and Inverse PDEs A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T10:04:22.617636Z

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Unavailable: canonical work link unavailable.

Observation c7efc447-1f4b-4044-b3a7-60af5ccbe3bc · inbound

Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms cites this paper.

Fast, accurate, and differentiable: a neural-network surrogate for NRSur7dq4 precessing binary black hole waveforms A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks

Reference 114

Resolution: unresolved; no resolver link, observed 2026-07-31T04:58:17.030411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.