Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer | Paper Citation Record

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This paper cites an unresolved cited work.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Unresolved cited work

Reference 1

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2

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This paper cites Effective Approaches to Attention-based Neural Machine Translation.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Effective Approaches to Attention-based Neural Machine Translation

Reference 3

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This paper cites (2024, September).

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer (2024, September)

Reference 4

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This paper cites KAN: Kolmogorov-Arnold Networks.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer KAN: Kolmogorov-Arnold Networks

Reference 5

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This paper cites Wav-KAN: Wavelet Kolmogorov-Arnold Networks.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Wav-KAN: Wavelet Kolmogorov-Arnold Networks

Reference 6

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This paper cites ImageNet classification with deep convolutional neural networks,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer ImageNet classification with deep convolutional neural networks,

Reference 7

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This paper cites Very deep convolutional networks for large-scale image recognition,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Very deep convolutional networks for large-scale image recognition,

Reference 8

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This paper cites Deep residual learning for image recognition,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Deep residual learning for image recognition,

Reference 9

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This paper cites Going deeper with convolutions,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Going deeper with convolutions,

Reference 10

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This paper cites Rethinking the inception architecture for computer vision,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Rethinking the inception architecture for computer vision,

Reference 11

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This paper cites Aggregated residual transformations for deep neural networks,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Aggregated residual transformations for deep neural networks,

Reference 12

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This paper cites Densely connected convolutional networks,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Densely connected convolutional networks,

Reference 13

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This paper cites Sparsely aggregated convolutional networks,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Sparsely aggregated convolutional networks,

Reference 14

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This paper cites ShuffleNet: An extremely efficient convolutional neural network for mobile devices,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer ShuffleNet: An extremely efficient convolutional neural network for mobile devices,

Reference 15

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This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 16

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This paper cites EfficientNet: Rethinking model scaling for convolutional neural networks,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer EfficientNet: Rethinking model scaling for convolutional neural networks,

Reference 17

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This paper cites CSPNet: A new backbone that can enhance learning capability of CNN,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer CSPNet: A new backbone that can enhance learning capability of CNN,

Reference 18

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This paper cites Training data -efficient image transformers & distillation through attention,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Training data -efficient image transformers & distillation through attention,

Reference 19

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 20

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This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,

Reference 21

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This paper cites CvT: Introducing convolutions to vision transformers,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer CvT: Introducing convolutions to vision transformers,

Reference 22

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This paper cites PVTv2: Improved baselines with pyramid vision transformer,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer PVTv2: Improved baselines with pyramid vision transformer,

Reference 23

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This paper cites DeiT: Data -efficient image transformers,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer DeiT: Data -efficient image transformers,

Reference 24

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This paper cites ConViT: Improving vision transformers with soft convolutional inductive biases,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer ConViT: Improving vision transformers with soft convolutional inductive biases,

Reference 25

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This paper cites Going deeper with image transformers,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Going deeper with image transformers,

Reference 26

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This paper cites DeepViT: Towards Deeper Vision Transformer.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer DeepViT: Towards Deeper Vision Transformer

Reference 27

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This paper cites Tokens-to-token ViT: Training vision transformers from scratch on ImageNet,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Tokens-to-token ViT: Training vision transformers from scratch on ImageNet,

Reference 28

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This paper cites RegionViT: Regional-to-Local Attention for Vision Transformers.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer RegionViT: Regional-to-Local Attention for Vision Transformers

Reference 29

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Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Dual vision transformer,

Reference 30

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This paper cites MicroViT: A Vision Transformer with Low Complexity Self Attention for Edge Device.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer MicroViT: A Vision Transformer with Low Complexity Self Attention for Edge Device

Reference 31

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Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer MobileViT: Light-weight, general-purpose, and mobile-friendly vision transformer,

Reference 32

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Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Unresolved cited work

Reference 33

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Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Unresolved cited work

Reference 34

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

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

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This paper cites Imagenet: A large-scale hierarchical image database,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Imagenet: A large-scale hierarchical image database,

Reference 36

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This paper cites Microsoft coco: Common objects in ´ context,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Microsoft coco: Common objects in ´ context,

Reference 37

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This paper cites Semantic understanding of scenes through the ade20k dataset,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Semantic understanding of scenes through the ade20k dataset,

Reference 38

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This paper cites Decoupled Weight Decay Regularization.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Decoupled Weight Decay Regularization

Reference 39

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This paper cites VOLO: Vision Outlooker for Visual Recognition.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer VOLO: Vision Outlooker for Visual Recognition

Reference 40

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This paper cites Randaugment: Practical automated data augmentation with a reduced search space,.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Randaugment: Practical automated data augmentation with a reduced search space,

Reference 41

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This paper cites J., Chun, S., Choe, J., & Yoo, Y.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer J., Chun, S., Choe, J., & Yoo, Y

Reference 42

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This paper cites N., & Lopez -Paz, D.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer N., & Lopez -Paz, D

Reference 43

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This paper cites T., & Juditsky, A.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer T., & Juditsky, A

Reference 46

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Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Unresolved cited work

Reference 54

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Observation fb54bf97-1ab8-4e3b-b509-d98a77fb43a5 · outbound

This paper cites Vision Transformer Adapter for Dense Predictions.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Vision Transformer Adapter for Dense Predictions

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T23:26:13.610592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d3b1188-99be-4a77-b7a8-13631a976421 · outbound

This paper cites S., & Xie, S.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer S., & Xie, S

Reference 56

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Observation 8d019152-719a-4a99-80f8-d2257cd1c20d · outbound

This paper cites an unresolved cited work.

Hyb-KAN ViT: Hybrid Kolmogorov-Arnold Networks Augmented Vision Transformer Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:26:13.772612Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers