Paper Citation Record · LEDGER

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2507.04020.

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

pith.paper-citation-record.v1
2507.04020 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:01:11.392699Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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External citation measurements

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Outbound references

Observation d792f5af-2b47-4bc0-8b12-936f83c473b8 · outbound

This paper cites an unresolved cited work.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Unresolved cited work

Reference 1

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This paper cites an unresolved cited work.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Unresolved cited work

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This paper cites Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Personalized Artificial General Intelligence (AGI) via Neuroscience-Inspired Continuous Learning Systems

Reference 3

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This paper cites Understanding Continual Learning Settings with Data Distribution Drift Analysis.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Understanding Continual Learning Settings with Data Distribution Drift Analysis

Reference 4

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This paper cites Lesort, V.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Lesort, V

Reference 5

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Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Unresolved cited work

Reference 6

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Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Unresolved cited work

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This paper cites Aljundi, P.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Aljundi, P

Reference 8

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This paper cites De Lange, R.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning De Lange, R

Reference 9

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Observation a14b659e-5849-4a79-99c9-43f724877bbd · outbound

This paper cites CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks

Reference 10

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Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Unresolved cited work

Reference 11

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This paper cites Uguroglu, J.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Uguroglu, J

Reference 12

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This paper cites Adversarial Learning of General Transformations for Data Augmentation.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Adversarial Learning of General Transformations for Data Augmentation

Reference 13

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Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Unresolved cited work

Reference 14

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Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Unresolved cited work

Reference 15

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Observation a4151412-df09-42d1-8a90-45044686610a · outbound

This paper cites Masana, X.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Masana, X

Reference 16

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This paper cites Cossu, G.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Cossu, G

Reference 17

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Observation 7f9ec3f1-0b92-4940-9e30-ca406b7226eb · outbound

This paper cites Continual Learning of Diffusion Models with Generative Distillation.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Continual Learning of Diffusion Models with Generative Distillation

Reference 18

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This paper cites Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations

Reference 19

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Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Unresolved cited work

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Observation 23c6273b-b035-4c12-9223-03c4910f5458 · outbound

This paper cites Surface Analysis with Vision Transformers.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Surface Analysis with Vision Transformers

Reference 21

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Observation 52fbf74d-d335-43ab-82ac-9bab02c034c4 · outbound

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Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Unresolved cited work

Reference 22

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Observation c850531b-1ce0-4897-806d-fa17584ef634 · outbound

This paper cites Kheddar, Transformers and large language models for efficient in- trusion detection systems: A comprehensive survey, Information Fusion (2025) 103347.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Kheddar, Transformers and large language models for efficient in- trusion detection systems: A comprehensive survey, Information Fusion (2025) 103347

Reference 23

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Observation 890133d5-1b17-420a-8a2a-1672c9e053b9 · outbound

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

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 24

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Observation 7932ed09-95d6-4f2d-bfdf-5b7efe4231f0 · outbound

This paper cites Powerful Design of Small Vision Transformer on CIFAR10.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Powerful Design of Small Vision Transformer on CIFAR10

Reference 25

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Observation 08c6c5ea-5b4a-466a-a575-dcc45dcb7103 · outbound

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Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning KAN: Kolmogorov-Arnold Networks

Reference 26

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Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Unresolved cited work

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Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Unresolved cited work

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Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Krizhevsky, G

Reference 29

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This paper cites Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics

Reference 30

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Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Progressive Neural Networks

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This paper cites Rebuffi, A.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Rebuffi, A

Reference 32

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Observation acaaca21-6f5f-4690-8f7d-361889ea674e · outbound

This paper cites Lopez-Paz, M.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Lopez-Paz, M

Reference 33

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Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Unresolved cited work

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Observation 75e7ab79-8493-46e0-a780-011966754fcb · outbound

This paper cites Reveal of Vision Transformers Robustness against Adversarial Attacks.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Reveal of Vision Transformers Robustness against Adversarial Attacks

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Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Zhang, R

Reference 36

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Observation ca26b1be-5d55-410a-89be-3e05a384d287 · outbound

This paper cites A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships

Reference 37

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This paper cites Lee, D.-W.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Lee, D.-W

Reference 38

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This paper cites Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training

Reference 39

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This paper cites Sharma, V.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Sharma, V

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:11.797787Z

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Observation 1b7767e1-ab0a-498b-85b1-54c55b475071 · outbound

This paper cites Handwritten Digit Recognition Using Improved Bounding Box Recognition Technique.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Handwritten Digit Recognition Using Improved Bounding Box Recognition Technique

Reference 41

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Observation 2c4e894d-1443-46ab-8f82-714a3b7ec48e · outbound

This paper cites Picek, M.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Picek, M

Reference 42

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This paper cites ParisiGerman, L.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning ParisiGerman, L

Reference 43

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Observation e61d935d-58c9-4251-97e8-5c9b8f5cdb85 · outbound

This paper cites Theotokis, Human brain inspired artificial intelligence neural net- works, Journal of Integrative Neuroscience 24 (2025) 26684.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Theotokis, Human brain inspired artificial intelligence neural net- works, Journal of Integrative Neuroscience 24 (2025) 26684

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:01:11.768099Z

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Observation 1c3928b8-51bc-4b60-bff9-aa6e78e8c70c · outbound

This paper cites Out of Distribution Performance of State of Art Vision Model.

Exploring Kolmogorov-Arnold Network Expansions in Vision Transformers for Mitigating Catastrophic Forgetting in Continual Learning Out of Distribution Performance of State of Art Vision Model

Reference 45

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Pith citing papers

No inbound Pith citation observations are available.