Paper Citation Record · LEDGER

A Practitioner's Guide to Kolmogorov-Arnold Networks

As of 3 August 2026, this Paper Citation Record lists 100 of 285 outbound references and 12 inbound Pith citation observations for arXiv:2510.25781.

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

pith.paper-citation-record.v1
2510.25781 v5

Coverage vector

measured 100 of 285 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T03:29:15.570760Z

measured 112 of 112 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:09:34.337079Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T10:39:45.780551Z

Reference resolution

100 of 285 outbound references displayed

verified exact33
verified fuzzy62
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 64eb1a99-d5c3-41f4-bb0d-c062dd1b27b3 · outbound

This paper cites Physics-informe d neural networks: A deep learning framework for solving forward and inverse problems involving nonline ar partial diﬀerential equations.

A Practitioner's Guide to Kolmogorov-Arnold Networks Physics-informe d neural networks: A deep learning framework for solving forward and inverse problems involving nonline ar partial diﬀerential equations

Reference 1

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Observation 20168ba7-bd8c-4f8b-bbef-c8262ad41a8c · outbound

This paper cites fPINNs: Fractional phy sics-informed neural networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks fPINNs: Fractional phy sics-informed neural networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.599780Z

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Observation 58dd0657-710b-44de-b204-3ce3e201de29 · outbound

This paper cites Quantifying tot al uncertainty in physics-informed neural networks for solving forward and inverse stochastic prob lems.

A Practitioner's Guide to Kolmogorov-Arnold Networks Quantifying tot al uncertainty in physics-informed neural networks for solving forward and inverse stochastic prob lems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.616535Z

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Observation 4aa5ed63-dd2c-4a9b-a6ee-35097a9e0646 · outbound

This paper cites Variational Physics-Informed Neural Networks For Solving Partial Differential Equations.

A Practitioner's Guide to Kolmogorov-Arnold Networks Variational Physics-Informed Neural Networks For Solving Partial Differential Equations

Reference 4

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Observation 4787d054-199f-42dd-b003-3aa9f9194ff6 · outbound

This paper cites Extended physics-informe d neural networks (XPINNs): A gener- alized space–time domain decomposition based deep learning framewo rk for nonlinear partial diﬀerential equations.

A Practitioner's Guide to Kolmogorov-Arnold Networks Extended physics-informe d neural networks (XPINNs): A gener- alized space–time domain decomposition based deep learning framewo rk for nonlinear partial diﬀerential equations

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.557190Z

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Observation d6cb4721-6369-4013-974c-bce852464946 · outbound

This paper cites A composite neural network tha t learns from multi-ﬁdelity data: Application to function approximation and inverse PDE problems.

A Practitioner's Guide to Kolmogorov-Arnold Networks A composite neural network tha t learns from multi-ﬁdelity data: Application to function approximation and inverse PDE problems

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.623989Z

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Observation 23b32805-c502-4211-a89d-9f6e7077ccba · outbound

This paper cites On the convergence of physics informed neural networks for linear second-order elliptic and parabolic type PDEs.

A Practitioner's Guide to Kolmogorov-Arnold Networks On the convergence of physics informed neural networks for linear second-order elliptic and parabolic type PDEs

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.478444Z

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Observation 5547e190-cfbd-40da-9f01-a1ff29b381e4 · outbound

This paper cites When and why PINNs fail to tr ain: A neural tangent kernel perspective.

A Practitioner's Guide to Kolmogorov-Arnold Networks When and why PINNs fail to tr ain: A neural tangent kernel perspective

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.561060Z

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Observation cbeb188a-7f8e-4654-b1e5-58a88161cfa0 · outbound

This paper cites DeepXDE: A deep learning library for solving diﬀer- ential equations.

A Practitioner's Guide to Kolmogorov-Arnold Networks DeepXDE: A deep learning library for solving diﬀer- ential equations

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.524773Z

Source-reported events for the cited work

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Observation 035e67fb-903d-4878-a6f3-041a912de62d · outbound

This paper cites Multi-stage Neural Networks: Function Approximator of Machine Precision.

A Practitioner's Guide to Kolmogorov-Arnold Networks Multi-stage Neural Networks: Function Approximator of Machine Precision

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.504097Z

Source-reported events for the cited work

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Observation 552611c3-da05-4a51-83f0-f86743951d6c · outbound

This paper cites Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism.

A Practitioner's Guide to Kolmogorov-Arnold Networks Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T03:30:50.669943Z

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Observation c46a6668-e18a-47da-929e-b23601e01491 · outbound

This paper cites Parallel physic s-informed neural networks via domain decomposition.

A Practitioner's Guide to Kolmogorov-Arnold Networks Parallel physic s-informed neural networks via domain decomposition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.573263Z

Source-reported events for the cited work

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Observation ae6ce4a6-05b4-4583-afff-707f40c11793 · outbound

This paper cites Tackling the curse of dimensionality with physics-informed neural networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks Tackling the curse of dimensionality with physics-informed neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.642034Z

Source-reported events for the cited work

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Observation 036a40fa-f848-45d4-b7c7-3a5f3c695132 · outbound

This paper cites Simulating t hree-dimensional turbulence with physics-informed neural networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks Simulating t hree-dimensional turbulence with physics-informed neural networks

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.562412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c0e16a7e-8e43-4f47-8a70-31814673328a · outbound

This paper cites Piratenets: Physic s-informed deep learning with residual adaptive networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks Piratenets: Physic s-informed deep learning with residual adaptive networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.565348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e2f17b70-e7e8-494d-a4f6-195aaead0e93 · outbound

This paper cites Functional multi-layer percept ron: A non-linear tool for functional data analysis.

A Practitioner's Guide to Kolmogorov-Arnold Networks Functional multi-layer percept ron: A non-linear tool for functional data analysis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.608665Z

Source-reported events for the cited work

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Observation 655addbf-a6c3-4ced-9464-076dc7cd1758 · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

A Practitioner's Guide to Kolmogorov-Arnold Networks Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-18T03:30:50.523501Z

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Observation f1049479-b96f-40b8-b472-7ead4d3697d5 · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

A Practitioner's Guide to Kolmogorov-Arnold Networks Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-18T03:30:50.406308Z

Source-reported events for the cited work

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Observation 47ff3be4-802f-4e88-aef0-4ae44988114c · outbound

This paper cites Stable weight updating: A key to reliable PDE solutions using deep learning.

A Practitioner's Guide to Kolmogorov-Arnold Networks Stable weight updating: A key to reliable PDE solutions using deep learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.488465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation afcfc169-a1ac-4b02-979e-b8c63ad98ceb · outbound

This paper cites Pow er-enhanced residual network for function approximation and physics-informed inverse problems.

A Practitioner's Guide to Kolmogorov-Arnold Networks Pow er-enhanced residual network for function approximation and physics-informed inverse problems

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.500417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 228290b1-ad15-4d7c-84e8-5543d082d635 · outbound

This paper cites Gradient alignment in physics-informed neural networks: A second-order optimization perspective.

A Practitioner's Guide to Kolmogorov-Arnold Networks Gradient alignment in physics-informed neural networks: A second-order optimization perspective

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.423942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 31e4a706-77ff-4404-8995-c64899937617 · outbound

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

A Practitioner's Guide to Kolmogorov-Arnold Networks Understanding and mitiga ting gradient ﬂow pathologies in physics- informed neural networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.496549Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation af9df535-3845-4ec3-87af-aea5ab4ea066 · outbound

This paper cites On the spectral bias of neural networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks On the spectral bias of neural networks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.528189Z

Source-reported events for the cited work

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Observation 44fa4b5a-13ec-45d6-a251-612ee4bb00c8 · outbound

This paper cites Frequency p rinciple: Fourier analysis sheds light on deep neural networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks Frequency p rinciple: Fourier analysis sheds light on deep neural networks

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.613012Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8afe5bb2-7143-47a2-88cc-4719bb25a408 · outbound

This paper cites KAN: Kolmogorov-Arnold Networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks KAN: Kolmogorov-Arnold Networks

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-18T03:30:50.466915Z

Source-reported events for the cited work

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Observation 67d8092b-2846-464f-a5cf-53ac4d61b4d7 · outbound

This paper cites KAN 2.0: Kolmogorov-Arnold Networks Meet Science.

A Practitioner's Guide to Kolmogorov-Arnold Networks KAN 2.0: Kolmogorov-Arnold Networks Meet Science

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T03:30:50.446796Z

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Observation 6d74df7e-8a9b-4474-a61f-d8449652cdaa · outbound

This paper cites Kolmogoro v–Arnold Networks Meet Science.

A Practitioner's Guide to Kolmogorov-Arnold Networks Kolmogoro v–Arnold Networks Meet Science

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.634619Z

Source-reported events for the cited work

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Observation bc71f0c7-c2fb-424a-8adb-791d2c69af38 · outbound

This paper cites Kolmogorov–Arnold Networks for interpretable and eﬃcient function approximation.

A Practitioner's Guide to Kolmogorov-Arnold Networks Kolmogorov–Arnold Networks for interpretable and eﬃcient function approximation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.638527Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 72afe34c-fc06-4926-af10-4a1b03dbc7bb · outbound

This paper cites Scalable and interpretable function-based arch itectures: A survey of Kol- mogorov–Arnold Networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks Scalable and interpretable function-based arch itectures: A survey of Kol- mogorov–Arnold Networks

Reference 31

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Observation 70095cc7-4959-4335-9f1f-e73aba9a8016 · outbound

This paper cites Scientiﬁc machine learning with Kolmogorov–Arnold Networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks Scientiﬁc machine learning with Kolmogorov–Arnold Networks

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.549357Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 57f2c38e-f8e6-4a7d-adcb-da7b113d7e17 · outbound

This paper cites Convolutional Kolmogorov–Arnold Networks: A surv ey.

A Practitioner's Guide to Kolmogorov-Arnold Networks Convolutional Kolmogorov–Arnold Networks: A surv ey

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.620512Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5fb8581d-7b51-4b09-a9eb-91ac82edec49 · outbound

This paper cites Kolmogorov-Arnold Networks: A Critical Assessment of Claims, Performance, and Practical Viability.

A Practitioner's Guide to Kolmogorov-Arnold Networks Kolmogorov-Arnold Networks: A Critical Assessment of Claims, Performance, and Practical Viability

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T03:30:50.452146Z

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Observation d76505ac-994f-4ebd-9466-ea37a5dfd66a · outbound

This paper cites The ﬁrst two months of Kolmogorov-Arnold Networks (KANs): A survey of the state-of-the-art.

A Practitioner's Guide to Kolmogorov-Arnold Networks The ﬁrst two months of Kolmogorov-Arnold Networks (KANs): A survey of the state-of-the-art

Reference 35

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Observation 4fdc3c7d-b2e6-4cd7-b505-2058b9fa0400 · outbound

This paper cites Kolmogorov- Arnold Networks: Overview of Architectures and Use Cases.

A Practitioner's Guide to Kolmogorov-Arnold Networks Kolmogorov- Arnold Networks: Overview of Architectures and Use Cases

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:49.893855Z

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Observation 66c9e0e9-f2d4-4f52-8c4c-6d378c2fe278 · outbound

This paper cites A s urvey on Kolmogorov–Arnold Networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks A s urvey on Kolmogorov–Arnold Networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.569740Z

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Observation f5bde68d-f251-4101-be88-d3460a37460f · outbound

This paper cites KAN or MLP: A Fairer Comparison.

A Practitioner's Guide to Kolmogorov-Arnold Networks KAN or MLP: A Fairer Comparison

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.536337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 26e1bdd0-8138-45e1-b43e-a74e0e2a994b · outbound

This paper cites Available: https://github.com/yu-rp/KANbeFair.

A Practitioner's Guide to Kolmogorov-Arnold Networks Available: https://github.com/yu-rp/KANbeFair

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.511714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 352856db-cf05-414d-bfe5-57f953dc498f · outbound

This paper cites A comprehensive and fair comparison between MLP and KAN representations for diﬀerential equations a nd operator networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks A comprehensive and fair comparison between MLP and KAN representations for diﬀerential equations a nd operator networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.546418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation de1eda82-b05f-4d12-b430-1b40fa6ae5d2 · outbound

This paper cites Activation Space Selectable Kolmogorov-Arnold Networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks Activation Space Selectable Kolmogorov-Arnold Networks

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.435894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c00c7b28-618a-494d-9d83-74a5c14c11c5 · outbound

This paper cites Learnable activation functions in phy sics-informed neural networks for solving partial diﬀerential equations.

A Practitioner's Guide to Kolmogorov-Arnold Networks Learnable activation functions in phy sics-informed neural networks for solving partial diﬀerential equations

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.468410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e3cb8d27-3834-491b-ba39-e90919ae6c60 · outbound

This paper cites BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold Networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks BSRBF-KAN: A combination of B-splines and Radial Basis Functions in Kolmogorov-Arnold Networks

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.457118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 38463b29-02b4-4991-928d-382d116cd623 · outbound

This paper cites MLP-KAN: Unifying Deep Representation and Function Learning.

A Practitioner's Guide to Kolmogorov-Arnold Networks MLP-KAN: Unifying Deep Representation and Function Learning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.400682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 86c9cfa1-74d9-4552-b7bf-7f109a5abe93 · outbound

This paper cites Understanding the limitations of B-spline KAN s: Convergence dynamics and computational eﬃciency.

A Practitioner's Guide to Kolmogorov-Arnold Networks Understanding the limitations of B-spline KAN s: Convergence dynamics and computational eﬃciency

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.464524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 3af4877d-e32a-4a3b-b1ee-5d755fdd8cc5 · outbound

This paper cites DE-KAN: A diﬀerential evo lution-based optimization frame- work for enhancing Kolmogorov-Arnold networks in complex nonlinea r modeling.

A Practitioner's Guide to Kolmogorov-Arnold Networks DE-KAN: A diﬀerential evo lution-based optimization frame- work for enhancing Kolmogorov-Arnold networks in complex nonlinea r modeling

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.484051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation af367d99-ec6c-429c-93ed-fc017cd513e9 · outbound

This paper cites KAN-ODEs: Kolmogorov-Arn old Network ordinary diﬀerential equations for learning dynamical systems and hidden physics.

A Practitioner's Guide to Kolmogorov-Arnold Networks KAN-ODEs: Kolmogorov-Arn old Network ordinary diﬀerential equations for learning dynamical systems and hidden physics

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.645668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6c2d9eed-add7-4c4b-82ee-f58d6900e374 · outbound

This paper cites KAN-Therm: A Lightweight Battery Thermal Model Using Kolmogorov-Arnold Network.

A Practitioner's Guide to Kolmogorov-Arnold Networks KAN-Therm: A Lightweight Battery Thermal Model Using Kolmogorov-Arnold Network

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-18T03:30:50.441198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e9664c3a-ddc5-49dd-a4d3-6be5763b27c6 · outbound

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

A Practitioner's Guide to Kolmogorov-Arnold Networks Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.491302Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 101f9fc2-3284-4a98-a2b1-8abc379a03d5 · outbound

This paper cites KAN versus MLP on Irregular or Noisy Functions.

A Practitioner's Guide to Kolmogorov-Arnold Networks KAN versus MLP on Irregular or Noisy Functions

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.461906Z

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Observation 65ef58b9-7adc-4132-a34b-cea3639c909e · outbound

This paper cites PowerML P: An eﬃcient version of KAN.

A Practitioner's Guide to Kolmogorov-Arnold Networks PowerML P: An eﬃcient version of KAN

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.532137Z

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Observation 7d895093-943e-47fa-9682-41d073b9bfb9 · outbound

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

A Practitioner's Guide to Kolmogorov-Arnold Networks Sinc Kolmogorov-Arnold network and its application for solving PDEs with singularities

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-18T03:30:50.574312Z

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Observation 554d3f80-da1d-468e-abe8-99616a08339d · outbound

This paper cites Cheby- KANs: Advanced Kolmogorov–Arnold Networks for Applying Geomet ric Deep Learning in Quantum Chemistry Applications.

A Practitioner's Guide to Kolmogorov-Arnold Networks Cheby- KANs: Advanced Kolmogorov–Arnold Networks for Applying Geomet ric Deep Learning in Quantum Chemistry Applications

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.476006Z

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Observation 67738106-f003-4715-889c-45ecc3a26e45 · outbound

This paper cites Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks Quantum Variational Activation Functions Empower Kolmogorov-Arnold Networks

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-07T03:18:49.186634Z

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Observation 3ca4e64b-d236-496b-8d85-e3793202090d · outbound

This paper cites KKANs: Kur kova-Kolmogorov-Arnold networks and their learning dynamics.

A Practitioner's Guide to Kolmogorov-Arnold Networks KKANs: Kur kova-Kolmogorov-Arnold networks and their learning dynamics

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.603743Z

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Observation 253fbff1-af80-417a-9de7-aae0829c4be8 · outbound

This paper cites On the expressiveness and spectral bias of KANs.

A Practitioner's Guide to Kolmogorov-Arnold Networks On the expressiveness and spectral bias of KANs

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.429644Z

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Observation a2ab3d77-1f65-4b77-88ce-d4e0ea8faedf · outbound

This paper cites DeepOKAN: D eep operator network based on Kolmogorov-Arnold networks for mechanics problems.

A Practitioner's Guide to Kolmogorov-Arnold Networks DeepOKAN: D eep operator network based on Kolmogorov-Arnold networks for mechanics problems

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.536166Z

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Observation bf46c869-f758-452f-8112-d626a7186dfb · outbound

This paper cites A physics-informed neural network for nonlinear deﬂection prediction of ionic polymer-metal c omposite based on Kolmogorov- Arnold networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks A physics-informed neural network for nonlinear deﬂection prediction of ionic polymer-metal c omposite based on Kolmogorov- Arnold networks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.586325Z

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Observation ac72cceb-ebd5-4144-b0e8-1a34adee81a2 · outbound

This paper cites The KAN-MHA model: A novel phys ical knowledge based multi-source data-driven adaptive method for airfoil ﬂow ﬁeld prediction.

A Practitioner's Guide to Kolmogorov-Arnold Networks The KAN-MHA model: A novel phys ical knowledge based multi-source data-driven adaptive method for airfoil ﬂow ﬁeld prediction

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.549695Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 87de0023-5839-43dc-8bb6-7b14aaac04c6 · outbound

This paper cites Extraction and reconstruct ion of variable-coeﬃcient governing equa- tions using Res-KAN integrating sparse regression.

A Practitioner's Guide to Kolmogorov-Arnold Networks Extraction and reconstruct ion of variable-coeﬃcient governing equa- tions using Res-KAN integrating sparse regression

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.539787Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 56c4dafc-17c8-429e-b55b-031e86ac72c6 · outbound

This paper cites Enhancing Physics-Informed Neural Networks with a Hybrid Parallel Kolmogorov-Arnold and MLP Architecture.

A Practitioner's Guide to Kolmogorov-Arnold Networks Enhancing Physics-Informed Neural Networks with a Hybrid Parallel Kolmogorov-Arnold and MLP Architecture

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.510487Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8f972b93-ec33-4b4e-8a0a-f02461717d46 · outbound

This paper cites Physics-informed Kolmog orov-Arnold networks: A superior approach to ﬂuid simulation.

A Practitioner's Guide to Kolmogorov-Arnold Networks Physics-informed Kolmog orov-Arnold networks: A superior approach to ﬂuid simulation

Reference 62

Resolution: verified exact; doi, observed 2026-05-18T03:30:49.897698Z

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Observation 2739669c-298f-4648-878f-de7cbffd0c00 · outbound

This paper cites Discontinuity-aware KAN-bas ed physics-informed neural networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks Discontinuity-aware KAN-bas ed physics-informed neural networks

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.529632Z

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Observation fec54786-0da1-4033-9dc1-e74b752b5409 · outbound

This paper cites Ph ysics-informed Kolmogorov-Arnold network for two-phase ﬂow model with experimental data.

A Practitioner's Guide to Kolmogorov-Arnold Networks Ph ysics-informed Kolmogorov-Arnold network for two-phase ﬂow model with experimental data

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.543191Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b911f817-922f-4b4a-b865-96667004c798 · outbound

This paper cites EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using Chebyshev Polynomials.

A Practitioner's Guide to Kolmogorov-Arnold Networks EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using Chebyshev Polynomials

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.542921Z

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Observation a874a372-16b5-457c-bbd5-066ae660a3c4 · outbound

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

A Practitioner's Guide to Kolmogorov-Arnold Networks Scaled-cPIKANs: Domain Scaling in Chebyshev-based Physics-informed Kolmogorov-Arnold Networks

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.412154Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c1ea0f26-d79d-40f8-87af-e1149ec44bae · outbound

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

A Practitioner's Guide to Kolmogorov-Arnold Networks Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.395185Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c2f4e219-60af-4429-a44c-f5aa9740deea · outbound

This paper cites Represe ntation meets optimization: Training PINNs and PIKANs for gray-box discovery in systems pharmacolog y.

A Practitioner's Guide to Kolmogorov-Arnold Networks Represe ntation meets optimization: Training PINNs and PIKANs for gray-box discovery in systems pharmacolog y

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.517081Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bf45d0f2-8074-4a65-a27e-12c1cc7f1009 · outbound

This paper cites Physics-informed neural networks with hybrid Kolmogorov- Arnold network and augmented Lagrangian function for solving par tial diﬀerential equations.

A Practitioner's Guide to Kolmogorov-Arnold Networks Physics-informed neural networks with hybrid Kolmogorov- Arnold network and augmented Lagrangian function for solving par tial diﬀerential equations

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.516832Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 778978a0-67c3-4236-bd02-29f1311f8679 · outbound

This paper cites KANtrol: A Physics-Informed Kolmogorov-Arnold Network Framework for Solving Multi-Dimensional and Fractional Optimal Control Problems.

A Practitioner's Guide to Kolmogorov-Arnold Networks KANtrol: A Physics-Informed Kolmogorov-Arnold Network Framework for Solving Multi-Dimensional and Fractional Optimal Control Problems

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.472761Z

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Observation d98a26b0-46bf-431b-98a4-ede68546766c · outbound

This paper cites Physics-Informed Kolmogorov-Arnold Networks for Power System Dynamics.

A Practitioner's Guide to Kolmogorov-Arnold Networks Physics-Informed Kolmogorov-Arnold Networks for Power System Dynamics

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.555591Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6c32c930-a7ce-4e4a-a309-22fe9543869b · outbound

This paper cites Kolmogorov–Arnold-informed neural network: A physics-inform ed deep learning framework for solving forward and inverse problems based on Kolmogorov–Arnold networ ks.

A Practitioner's Guide to Kolmogorov-Arnold Networks Kolmogorov–Arnold-informed neural network: A physics-inform ed deep learning framework for solving forward and inverse problems based on Kolmogorov–Arnold networ ks

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.596043Z

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Observation 55fc17bb-b2ef-490f-a76e-dfea2197361b · outbound

This paper cites Kolmogorov–Arnold PointNet: Deep learning for pr ediction of ﬂuid ﬁelds on irregular ge- ometries.

A Practitioner's Guide to Kolmogorov-Arnold Networks Kolmogorov–Arnold PointNet: Deep learning for pr ediction of ﬂuid ﬁelds on irregular ge- ometries

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.581762Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0cc67bbe-c39b-445a-8ddc-c79678f5a0e1 · outbound

This paper cites Kolmogorov-Arnold Fourier Networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks Kolmogorov-Arnold Fourier Networks

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-05-26T03:04:00.894439Z

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Observation cc00ee0c-a7cf-4e66-b145-2bccd9615a7d · outbound

This paper cites Multi-Resolution Training-Enhanced Kolmogorov-Arnold Networks for Multi-Scale PDE Problems.

A Practitioner's Guide to Kolmogorov-Arnold Networks Multi-Resolution Training-Enhanced Kolmogorov-Arnold Networks for Multi-Scale PDE Problems

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.497889Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation af45b602-affe-40dd-9c08-baec2535ffee · outbound

This paper cites J-PIKAN: A physics-informed KAN network based on Jacobi orthogonal polynomials for solving ﬂu id dynamics.

A Practitioner's Guide to Kolmogorov-Arnold Networks J-PIKAN: A physics-informed KAN network based on Jacobi orthogonal polynomials for solving ﬂu id dynamics

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.627863Z

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Observation 00df9994-8ac0-4ee1-aeb6-137c9965ebf7 · outbound

This paper cites Legend- KINN: A Legendre polynomial-based Kolmogorov–Arnold-informed n eural network for eﬃcient PDE solving.

A Practitioner's Guide to Kolmogorov-Arnold Networks Legend- KINN: A Legendre polynomial-based Kolmogorov–Arnold-informed n eural network for eﬃcient PDE solving

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.521399Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5ec74c6e-eb56-40ba-818b-d093e45324d0 · outbound

This paper cites awesome-kan.

A Practitioner's Guide to Kolmogorov-Arnold Networks awesome-kan

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.492279Z

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This paper cites Mathematical problems.

A Practitioner's Guide to Kolmogorov-Arnold Networks Mathematical problems

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.472243Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation cb908e3a-8281-4907-ba86-7b0914ab88d9 · outbound

This paper cites On the representation of continuous func tions of several variables as superpositions of continuous functions of a smaller number of variables.

A Practitioner's Guide to Kolmogorov-Arnold Networks On the representation of continuous func tions of several variables as superpositions of continuous functions of a smaller number of variables

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.577645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d4d0656d-459e-447b-a4cf-69231d3e0bad · outbound

This paper cites On functions of three variables.

A Practitioner's Guide to Kolmogorov-Arnold Networks On functions of three variables

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.503780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 440ca139-1d31-462a-8fd1-3c2904142a07 · outbound

This paper cites On the representation of continuous func tions of many variables by superposition of continuous functions of one variable and addition.

A Practitioner's Guide to Kolmogorov-Arnold Networks On the representation of continuous func tions of many variables by superposition of continuous functions of one variable and addition

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.507245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 975797e3-6588-473b-a368-6a13075ea42b · outbound

This paper cites Sur le th´ eor` eme de superposition de Kolmogor ov.

A Practitioner's Guide to Kolmogorov-Arnold Networks Sur le th´ eor` eme de superposition de Kolmogor ov

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.631339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b8a1c3c3-19fd-4ac8-a2ce-703e893394e2 · outbound

This paper cites The Kolmogorov Superposition Theorem.

A Practitioner's Guide to Kolmogorov-Arnold Networks The Kolmogorov Superposition Theorem

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.918025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a774ebc9-d2cf-419a-ac78-11f968414925 · outbound

This paper cites Metric entropy, width, and superpositions of functions.

A Practitioner's Guide to Kolmogorov-Arnold Networks Metric entropy, width, and superpositions of functions

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.653108Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e2d4c0a5-02cd-4d5e-b7b6-6e1ee2f6fb7b · outbound

This paper cites On the structure of representations of co ntinuous functions of several variables.

A Practitioner's Guide to Kolmogorov-Arnold Networks On the structure of representations of co ntinuous functions of several variables

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.687050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a5c4b2bc-72d6-4e1b-a418-75525ad80f59 · outbound

This paper cites The representation of functions of several va riables.

A Practitioner's Guide to Kolmogorov-Arnold Networks The representation of functions of several va riables

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.658109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0a45db01-6798-453e-b499-8f3ce0641513 · outbound

This paper cites On the Kolmogorov neural net works.

A Practitioner's Guide to Kolmogorov-Arnold Networks On the Kolmogorov neural net works

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.820246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9a128675-5bce-49f2-a45b-14cd32d758bf · outbound

This paper cites Smooth Kolmogorov Arnold networks enabling structural knowledge representation.

A Practitioner's Guide to Kolmogorov-Arnold Networks Smooth Kolmogorov Arnold networks enabling structural knowledge representation

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:30:50.749815Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 428e359b-bd24-4070-bdea-69fa82a00938 · outbound

This paper cites Superpositions of continuous functions.

A Practitioner's Guide to Kolmogorov-Arnold Networks Superpositions of continuous functions

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.755566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c41f2561-3671-4d5c-b06b-8ac4b7dc6536 · outbound

This paper cites On Hilbert’s thirteenth problem.

A Practitioner's Guide to Kolmogorov-Arnold Networks On Hilbert’s thirteenth problem

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.752484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1721508d-0dc0-4685-9d00-3f488310df38 · outbound

This paper cites On representation of functions by means of s uperpositions and related topics.

A Practitioner's Guide to Kolmogorov-Arnold Networks On representation of functions by means of s uperpositions and related topics

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.944161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 049fd551-c923-4a2c-9b4c-eee2aa92157d · outbound

This paper cites Linear superpositions of continuously diﬀerentia ble functions.

A Practitioner's Guide to Kolmogorov-Arnold Networks Linear superpositions of continuously diﬀerentia ble functions

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.895608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 597181b1-cb4d-494e-b9d0-fe482f3184db · outbound

This paper cites Representation properties of netwo rks: Kolmogorov’s theorem is irrelevant.

A Practitioner's Guide to Kolmogorov-Arnold Networks Representation properties of netwo rks: Kolmogorov’s theorem is irrelevant

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.827207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 716ece14-223f-44e5-b841-a59e120f7bf7 · outbound

This paper cites Kolmogorov’s theorem is relevant.

A Practitioner's Guide to Kolmogorov-Arnold Networks Kolmogorov’s theorem is relevant

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:52.015352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a4066528-5eaf-4a6c-9e55-f422802d1188 · outbound

This paper cites Kolmogorov’s theorem and multilayer neural networks.

A Practitioner's Guide to Kolmogorov-Arnold Networks Kolmogorov’s theorem and multilayer neural networks

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.727842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5f36316c-affb-4f15-b91a-2cae073fc34b · outbound

This paper cites Improvement in the smoothness of functions in the Kolmogorov superposition theorem.

A Practitioner's Guide to Kolmogorov-Arnold Networks Improvement in the smoothness of functions in the Kolmogorov superposition theorem

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.928743Z

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 576ebba9-6f66-421d-91be-fd11ca21e954 · outbound

This paper cites An improvement in the superposition theorem of Kolmogorov.

A Practitioner's Guide to Kolmogorov-Arnold Networks An improvement in the superposition theorem of Kolmogorov

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.957271Z

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This paper cites Actor, Computation for the Kolmogorov Superposition Theorem , PhD Dissertation.

A Practitioner's Guide to Kolmogorov-Arnold Networks Actor, Computation for the Kolmogorov Superposition Theorem , PhD Dissertation

Reference 99

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Observation 6d64c787-c265-4a90-a9a6-9f5895e5e969 · outbound

This paper cites An Algorithm for Computing Lipschitz Inner Functions in Kolmogorov's Superposition Theorem.

A Practitioner's Guide to Kolmogorov-Arnold Networks An Algorithm for Computing Lipschitz Inner Functions in Kolmogorov's Superposition Theorem

Reference 100

Resolution: verified exact; local_arxiv, observed 2026-05-18T03:30:50.774991Z

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Observation ea1e6e24-ed72-4569-b634-899d6a64b758 · outbound

This paper cites A numerical implementation of Kolmogorov’s s uperpositions.

A Practitioner's Guide to Kolmogorov-Arnold Networks A numerical implementation of Kolmogorov’s s uperpositions

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.904831Z

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Observation 3ad56555-39a0-4487-81c0-5b0c0eaa0064 · outbound

This paper cites A numerical implementation of Kolmogorov’s s uperpositions II.

A Practitioner's Guide to Kolmogorov-Arnold Networks A numerical implementation of Kolmogorov’s s uperpositions II

Reference 102

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T03:30:51.682879Z

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Pith citing papers

Observation 114bfa21-bf7b-4dd4-a266-755252043a91 · inbound

Hardware-Oriented Inference Complexity of Kolmogorov-Arnold Networks cites this paper.

Hardware-Oriented Inference Complexity of Kolmogorov-Arnold Networks A Practitioner's Guide to Kolmogorov-Arnold Networks

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-13T20:33:16.920381Z

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Observation 06c59c0a-001c-4d38-846f-fb66c3dbfc97 · inbound

Scale-Parameter Selection in Gaussian Kolmogorov-Arnold Networks cites this paper.

Scale-Parameter Selection in Gaussian Kolmogorov-Arnold Networks A Practitioner's Guide to Kolmogorov-Arnold Networks

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-11T18:51:07.099798Z

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Observation 4b1693bc-41c1-41cb-85ba-99900d5cd14f · inbound

Partition-of-Unity Gaussian Kolmogorov-Arnold Networks cites this paper.

Partition-of-Unity Gaussian Kolmogorov-Arnold Networks A Practitioner's Guide to Kolmogorov-Arnold Networks

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-11T21:36:13.092815Z

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Observation ffa263bd-20fa-4c50-85bc-b22c4c2b1d12 · inbound

Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks cites this paper.

Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks A Practitioner's Guide to Kolmogorov-Arnold Networks

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-11T21:11:19.536906Z

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Observation fdfdc79a-5778-4e44-8b16-b08a187735e1 · inbound

Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks cites this paper.

Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks A Practitioner's Guide to Kolmogorov-Arnold Networks

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-20T23:59:15.268741Z

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Observation 0d60add4-37cb-4951-80e0-c4e00f5b96e3 · inbound

Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks cites this paper.

Necessary and sufficient conditions for universality of Kolmogorov-Arnold networks A Practitioner's Guide to Kolmogorov-Arnold Networks

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-01T09:35:39.326681Z

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Observation ba63588c-0909-4f17-8a12-bd478e3ce83d · inbound

Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning cites this paper.

Gated QKAN-FWP: Scalable Quantum-inspired Sequence Learning A Practitioner's Guide to Kolmogorov-Arnold Networks

Reference 73

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Observation cd715d37-3351-42a4-b742-0a75bcd04954 · inbound

KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis cites this paper.

KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis A Practitioner's Guide to Kolmogorov-Arnold Networks

Reference 14

Resolution: malformed identifier; local_arxiv, observed 2026-05-25T05:00:21.733797Z

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Observation ad6f1942-6a80-439d-98c4-29c580845371 · inbound

KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis cites this paper.

KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis A Practitioner's Guide to Kolmogorov-Arnold Networks

Reference 14

Resolution: malformed identifier; local_arxiv, observed 2026-06-30T15:44:48.503928Z

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Observation 512a7241-31c3-4a89-9b61-5b3ea81f7679 · inbound

From Handcrafted Features to Functional Edge Learning: Evolution of EEG Seizure Detection Frameworks cites this paper.

From Handcrafted Features to Functional Edge Learning: Evolution of EEG Seizure Detection Frameworks A Practitioner's Guide to Kolmogorov-Arnold Networks

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:19:44.639079Z

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Observation 8c51cf92-e7f0-45f7-be5b-215c3d646fc9 · inbound

Interpretable Kolmogorov-Arnold Network with Feature-Isolated Temporal Attention Mechanism for Electricity Load Forecasting cites this paper.

Interpretable Kolmogorov-Arnold Network with Feature-Isolated Temporal Attention Mechanism for Electricity Load Forecasting A Practitioner's Guide to Kolmogorov-Arnold Networks

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-07-04T10:39:45.782187Z

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Observation b313158b-313b-4097-ba06-6495f28401e9 · inbound

Kolmogorov--Arnold Networks for Small Language Models cites this paper.

Kolmogorov--Arnold Networks for Small Language Models A Practitioner's Guide to Kolmogorov-Arnold Networks

Reference 8

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