Paper Citation Record · LEDGER

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification

As of 21 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 3 inbound Pith citation observations for arXiv:2501.15757.

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pith.paper-citation-record.v1
2501.15757 v3

Coverage vector

measured 46 of 46 reference resolution

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Source: arxiv_reference, observed 2026-07-04T16:29:57.491918Z

Reference resolution

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation fbda1e00-c11f-44ee-ae06-243d5f9c6a57 · outbound

This paper cites an unresolved cited work.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Unresolved cited work

Reference 1

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This paper cites The unreasonable effectiveness of deep learning in artificial intelligence,.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification The unreasonable effectiveness of deep learning in artificial intelligence,

Reference 2

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This paper cites Denoising diffusion probabilistic models,.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Denoising diffusion probabilistic models,

Reference 3

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This paper cites Handwritten digit recognition with a back-propagation network,.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Handwritten digit recognition with a back-propagation network,

Reference 4

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Long Short-Term Memory,

Reference 5

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This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks,.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks,

Reference 6

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This paper cites Attention is all you need,.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Attention is all you need,

Reference 7

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This paper cites KAN: Kolmogorov-Arnold Networks.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification KAN: Kolmogorov-Arnold Networks

Reference 8

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

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification KAN 2.0: Kolmogorov-Arnold Networks Meet Science

Reference 9

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This paper cites Kolmogorov-Arnold Networks in Low-Data Regimes: A Comparative Study with Multilayer Perceptrons.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Kolmogorov-Arnold Networks in Low-Data Regimes: A Comparative Study with Multilayer Perceptrons

Reference 10

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This paper cites A Survey on Kolmogorov-Arnold Network.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification A Survey on Kolmogorov-Arnold Network

Reference 11

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This paper cites Reduced Effectiveness of Kolmogorov-Arnold Networks on Functions with Noise.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Reduced Effectiveness of Kolmogorov-Arnold Networks on Functions with Noise

Reference 12

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This paper cites A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification A Benchmarking Study of Kolmogorov-Arnold Networks on Tabular Data

Reference 13

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This paper cites Convolutional Kolmogorov-Arnold Networks.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Convolutional Kolmogorov-Arnold Networks

Reference 14

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Imagenet classification with deep convolutional neural networks,

Reference 15

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Kaggle MoA 2nd place solution,

Reference 16

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification ImageNet: A large-scale hierarchical image database,

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification The MNIST database of handwritten digits,

Reference 18

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Mechanisms of action (MoA) prediction,

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Theoretical issues in deep networks,

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This paper cites Representation properties of networks: Kol- mogorov’s theorem is irrelevant,.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Representation properties of networks: Kol- mogorov’s theorem is irrelevant,

Reference 21

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification B-spline basics,

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification KAN or MLP: A Fairer Comparison

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification EMNIST: an extension of MNIST to handwritten letters

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Deep Learning for Classical Japanese Literature

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Learning multiple layers of features from tiny im- ages,

Reference 27

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Reading digits in natural images with unsupervised feature learning,

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This paper cites Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Can KAN Work? Exploring the Potential of Kolmogorov-Arnold Networks in Computer Vision

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This paper cites A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification A preliminary study on continual learning in computer vision using Kolmogorov-Arnold Networks

Reference 30

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This paper cites How to learn more? exploring kolmogorov–arnold networks for hyperspectral image classification,.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification How to learn more? exploring kolmogorov–arnold networks for hyperspectral image classification,

Reference 31

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Reference 32

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This paper cites Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification KAN See Your Face

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification KANs for Computer Vision: An Experimental Study

Reference 35

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This paper cites Exploring Kolmogorov-Arnold networks for realistic image sharpness assessment.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Exploring Kolmogorov-Arnold networks for realistic image sharpness assessment

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This paper cites Can kan work? exploring the potential of kolmogorov-arnold networks in computer vision,.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Can kan work? exploring the potential of kolmogorov-arnold networks in computer vision,

Reference 37

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Ckan: Convolutional kolmogorov–arnold networks model for intrusion detection in iot envi- ronment,

Reference 38

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification C-kan: A new approach for integrating convolutional layers with kolmogorov–arnold networks for time-series forecasting,

Reference 39

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This paper cites Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Kolmogorov-Arnold Network for Satellite Image Classification in Remote Sensing

Reference 40

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Kanice: Kolmogorov-arnold networks with interactive convolutional elements,

Reference 41

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Adam: A Method for Stochastic Optimization

Reference 42

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Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Categories multilabel,

Reference 43

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This paper cites Learning both weights and con- nections for efficient neural network,.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Learning both weights and con- nections for efficient neural network,

Reference 44

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This paper cites Available: https://proceedings.neurips.cc/paper_files/ paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf.

Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification Available: https://proceedings.neurips.cc/paper_files/ paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf

Reference 2012

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Reference 2024

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Pith citing papers

Observation f9a00229-3946-4f74-ba92-00f131e9baae · inbound

Efficient Implicit Neural Compression of Point Clouds via Learnable Activation in Latent Space cites this paper.

Efficient Implicit Neural Compression of Point Clouds via Learnable Activation in Latent Space Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:52:24.581685Z

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Observation cd8e5551-6008-499d-bf01-3f09941f9036 · inbound

Multi-Class Neurological Disorder Prediction with Tensor Network Feature Engineering cites this paper.

Multi-Class Neurological Disorder Prediction with Tensor Network Feature Engineering Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T01:12:55.095630Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f4b9533-2cbd-4610-a94f-90a028f15e23 · inbound

Structural Kolmogorov-Arnold Convolutions: Learnable Function on the Values or the Filter Shape as Parameter-Efficient Alternative to Per-Edge Convolutional KANs cites this paper.

Structural Kolmogorov-Arnold Convolutions: Learnable Function on the Values or the Filter Shape as Parameter-Efficient Alternative to Per-Edge Convolutional KANs Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:29:57.493342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.