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Paper Citation Record · LEDGER

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 4 inbound Pith citation observations for arXiv:2502.00280.

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

pith.paper-citation-record.v1
2502.00280 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:42:25.080289Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

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measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:32:21.091939Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T03:30:50.324847Z

Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation ac097c2e-3bc4-4ba9-9fbe-f55ba18fcf61 · outbound

This paper cites Differential equations and their applications, 2nd edition (martin braun).

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Differential equations and their applications, 2nd edition (martin braun)

Reference 1

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Observation 30b0e4da-3483-44ab-8235-46f71db5299b · outbound

This paper cites The road to reality: A complete guide to the laws of the universe.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs The road to reality: A complete guide to the laws of the universe

Reference 2

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Observation 7652e2db-7b33-404d-8010-aafb14f733f3 · outbound

This paper cites Strogatz.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Strogatz

Reference 3

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Observation e2a0fcdd-895a-4835-8db1-460c36340aaf · outbound

This paper cites Witschey, John A.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Witschey, John A

Reference 4

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Observation 4c24324c-3b1e-4224-bb0d-5c74c54ce5c6 · outbound

This paper cites Mathews, M.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Mathews, M

Reference 5

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Observation 14265fa5-3aec-416f-8ebc-3c6302b50a52 · outbound

This paper cites Raissi, P.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Raissi, P

Reference 6

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Observation ddacd948-5ee3-4f4f-826e-dc5cf85f9354 · outbound

This paper cites Dgm: A deep learning algorithm for solving partial differential equations.Journal of Computational Physics, 375:1339–1364, 2018.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Dgm: A deep learning algorithm for solving partial differential equations.Journal of Computational Physics, 375:1339–1364, 2018

Reference 7

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Observation cf4ebc4e-c342-44fb-a914-2e25f83f59bf · outbound

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On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Unresolved cited work

Reference 8

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Observation 37478838-8d52-4970-b27d-8e37ef9cb294 · outbound

This paper cites Universal approximation of an un- known mapping and its derivatives using multilayer feedforward networks.Neural Networks, 3(5):551–560, 1990.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Universal approximation of an un- known mapping and its derivatives using multilayer feedforward networks.Neural Networks, 3(5):551–560, 1990

Reference 9

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Observation 6f17d6d1-5504-46e9-a20d-1732bfcfde0f · outbound

This paper cites Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T

Reference 10

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Observation 0e0d18a8-9054-42c2-a420-a577a44ea02a · outbound

This paper cites Towards understand- ing the spectral bias of deep learning, 2020.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Towards understand- ing the spectral bias of deep learning, 2020

Reference 11

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On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Unresolved cited work

Reference 12

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Observation 812be1b0-094c-4762-97b5-df12de8e7d38 · outbound

This paper cites Hamprecht, Yoshua Bengio, and Aaron Courville.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Hamprecht, Yoshua Bengio, and Aaron Courville

Reference 14

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Observation d53883c0-ca68-476d-aee6-095fc8889871 · outbound

This paper cites The convergence rate of neural networks for learned functions of different frequencies, 2019.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs The convergence rate of neural networks for learned functions of different frequencies, 2019

Reference 15

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Observation 1f9559b5-5604-4483-bc8a-6d9416a864e9 · outbound

This paper cites Krishnapriyan, Amir Gholami, Shandian Zhe, Robert M.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Krishnapriyan, Amir Gholami, Shandian Zhe, Robert M

Reference 16

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Observation b08e7958-ea79-49a1-b44d-82cd486c36a2 · outbound

This paper cites Understanding and mitigating gradient flow pathologies in physics-informed neural networks.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Understanding and mitigating gradient flow pathologies in physics-informed neural networks

Reference 17

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Observation d67047a6-a345-4059-b63e-a702fb8023be · outbound

This paper cites When and why pinns fail to train: A neural tangent kernel perspective.Journal of Computational Physics, 449:110768, 2022.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs When and why pinns fail to train: A neural tangent kernel perspective.Journal of Computational Physics, 449:110768, 2022

Reference 18

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Observation e380b15a-ddec-4c01-9c85-2b1f5cc7bebb · outbound

This paper cites On the eigenvector bias of fourier feature networks: From regression to solving multi-scale pdes with physics-informed neural networks.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs On the eigenvector bias of fourier feature networks: From regression to solving multi-scale pdes with physics-informed neural networks

Reference 19

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Observation 9c344100-ab36-48c4-9c6e-ad38f2104087 · outbound

This paper cites Hou, and Max Tegmark.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Hou, and Max Tegmark

Reference 20

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Observation d01daf64-41d9-4337-90c7-5a6493f4781e · outbound

This paper cites Givental, Boris A.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Givental, Boris A

Reference 21

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Observation 71c4c85a-efdd-439b-b563-77525841ebef · outbound

This paper cites On the representation of continuous functions of many vari- ables by superposition of continuous functions of one variable and addition.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs On the representation of continuous functions of many vari- ables by superposition of continuous functions of one variable and addition

Reference 22

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Observation 3fd6d834-bfdd-474c-bfb0-222a951979ff · outbound

This paper cites Chebyshev polynomial-based kolmogorov- arnold networks: An efficient architecture for nonlinear function approximation, 2024.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Chebyshev polynomial-based kolmogorov- arnold networks: An efficient architecture for nonlinear function approximation, 2024

Reference 23

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Observation 41fac1c7-188e-4894-9f17-ecd787a8fb2f · outbound

This paper cites Wav-kan: Wavelet kolmogorov-arnold networks, 2024.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Wav-kan: Wavelet kolmogorov-arnold networks, 2024

Reference 24

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Observation b706f862-c45f-43cb-882a-2e7c4c4a6314 · outbound

This paper cites Neural tangent kernel: convergence and generalization in neural networks.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Neural tangent kernel: convergence and generalization in neural networks

Reference 25

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Observation da1bdf62-4754-4d5c-b241-42be835466bd · outbound

This paper cites Frequency bias in neural networks for input of non-uniform density.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Frequency bias in neural networks for input of non-uniform density

Reference 26

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Observation 6e61cf96-2b4a-4397-bbb6-2128f27330d5 · outbound

This paper cites Kolmogorov arnold informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on kolmogorov arnold networks, 2024.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Kolmogorov arnold informed neural network: A physics-informed deep learning framework for solving forward and inverse problems based on kolmogorov arnold networks, 2024

Reference 27

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Observation dd72bbb9-f0f9-46d4-8030-23ec8753e005 · outbound

This paper cites Bondar, and Abhijit Sen.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Bondar, and Abhijit Sen

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2e6ae960-9bc4-42d5-8bc1-3bfdfd415628 · outbound

This paper cites Chapter 4 - time meets frequency.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Chapter 4 - time meets frequency

Reference 29

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2974f057-5616-4f6c-88da-5d298e7ca253 · outbound

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On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Chapter 1 - sparse representations

Reference 30

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Shawe-Taylor, C.K.I

Reference 31

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Observation 4890b64c-b7fd-436a-9e26-d00bf46277d3 · outbound

This paper cites Scientific machine learning through physics-informed neural networks: Where we are and what’s next, 2022.

On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs Scientific machine learning through physics-informed neural networks: Where we are and what’s next, 2022

Reference 32

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Pith citing papers

Observation 3002a488-bf7b-4989-ad4a-f155ff6b5377 · 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 On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs

Reference 15

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Observation 029a1dbe-c78a-4c3d-aef8-e78fe3e1efc6 · inbound

FiberKAN: Kolmogorov-Arnold Networks for Nonlinear Fiber Optics cites this paper.

FiberKAN: Kolmogorov-Arnold Networks for Nonlinear Fiber Optics On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T10:14:20.450174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:14:20.450174Z digest=sha256:caf47f7f02d9fe5e250f80465b545d8e10fb3b34d502c82d01c13b1b5ad07d80

Observation 8eb1d5aa-9c8a-4d2a-8e85-775335d5b7d0 · inbound

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer cites this paper.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T23:26:13.537132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:26:13.537132Z digest=sha256:612cd0ade988a9d0e1e24b8100d2ebce409ca23b545e7b8043da909d0f12e931

Observation 6fd0687c-7ba4-47a1-960e-6a46aed1c363 · inbound

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

A Practitioner's Guide to Kolmogorov-Arnold Networks On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs

Reference 280

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:30:50.329111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T03:29:15.570760Z digest=sha256:fa33549865695a79e9b308ab3dfc5ceec6514857da1653c5efcea25bb4d9c422