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Paper Citation Record · LEDGER

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification

As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2509.09242.

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

pith.paper-citation-record.v1
2509.09242 v1

Coverage vector

measured 44 of 44 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T19:28:48.994418Z

measured 44 of 44 standing notices

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measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Reference resolution

44 of 44 outbound references displayed

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Outbound references

Observation 04119b2a-c837-43a1-b410-a01f55750902 · outbound

This paper cites Sjövall, and G.C.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Sjövall, and G.C

Reference 1

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Observation 0c5034f3-3cb0-43b4-91f7-4fe5c1617f75 · outbound

This paper cites The Intelligent Intestine,.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification The Intelligent Intestine,

Reference 2

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Observation 981b04ec-d8d2-4d9a-a742-1e3b8af74a5a · outbound

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CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Unresolved cited work

Reference 3

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Observation 97090435-05c2-4a42-8885-659dbb0ae6da · outbound

This paper cites Critical reviews in oncology/hematology, 2023.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Critical reviews in oncology/hematology, 2023

Reference 4

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Observation 209253d3-a6e8-4b78-a700-296561162af5 · outbound

This paper cites Expert review of gastroenterology & hepatology, 2017.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Expert review of gastroenterology & hepatology, 2017

Reference 5

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Observation 02a50bea-6c81-4785-9ca6-1ea7b0c533fd · outbound

This paper cites Diagnostics, 2023.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Diagnostics, 2023

Reference 6

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Observation 8f2e79e8-8e09-4fe6-ac57-911442683c2f · outbound

This paper cites World journal of gastroenterology: WJG, 2014.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification World journal of gastroenterology: WJG, 2014

Reference 7

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Observation bc0057ba-2ad4-4dbd-a1f8-128a3d12452b · outbound

This paper cites Biomedical Signal Processing and Control, 2025.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Biomedical Signal Processing and Control, 2025

Reference 8

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Observation 5e5b970f-ba09-4dee-9b41-aec97186d469 · outbound

This paper cites Biomedical Signal Processing and Control, 2025.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Biomedical Signal Processing and Control, 2025

Reference 9

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Observation fd3ca176-bcf8-4b3a-a35e-ff9dad76f339 · outbound

This paper cites Expert Systems with Applications, 2024.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Expert Systems with Applications, 2024

Reference 10

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Observation c4c76602-9367-47bf-b970-d2a725c04776 · outbound

This paper cites Knowledge-Based Systems,.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Knowledge-Based Systems,

Reference 11

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Observation 08108641-d99b-4c5b-9e60-c2fca7990861 · outbound

This paper cites Engineering Applications of Artificial Intelligence, 2025.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Engineering Applications of Artificial Intelligence, 2025

Reference 12

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Observation 62fae6cb-7e5f-4490-8ddd-63cd1daddc21 · outbound

This paper cites Computer Methods and Programs in Biomedicine, 2025: p.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Computer Methods and Programs in Biomedicine, 2025: p

Reference 13

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Observation 69b541f0-b269-4357-b658-4bd4991e2fd2 · outbound

This paper cites Computerized Medical Imaging and Graphics, 2017.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Computerized Medical Imaging and Graphics, 2017

Reference 14

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Observation cf1c711e-6fa1-4354-9bbb-254a307485f8 · outbound

This paper cites Applied Intelligence, 2022.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Applied Intelligence, 2022

Reference 15

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Observation 9901f0d1-58ef-41b8-9fb9-9ebecd69e08c · outbound

This paper cites Computerized Medical Imaging and Graphics, 2024.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Computerized Medical Imaging and Graphics, 2024

Reference 16

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Observation 8fd3be6a-176c-4221-b344-d8d4c026a251 · outbound

This paper cites Modern Pathology, 2022.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Modern Pathology, 2022

Reference 17

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Observation f6b10005-4e59-4d42-8179-ca6c44fc9b12 · outbound

This paper cites Scientific Data, 2025.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Scientific Data, 2025

Reference 18

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Observation 309cff7c-838e-4c4f-9a18-5575f38912b8 · outbound

This paper cites Computers in biology and medicine, 2022.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Computers in biology and medicine, 2022

Reference 19

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Observation 165606e2-d966-40a1-9638-79ff0559bf85 · outbound

This paper cites Histopathological gastric cancer detection using transfer learning.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Histopathological gastric cancer detection using transfer learning

Reference 20

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Observation 8a34aad3-fef3-4b4b-92d1-8add88f91e2c · outbound

This paper cites Diagnostics, 2023.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Diagnostics, 2023

Reference 21

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Observation 45ea99b1-f7bb-4eb0-9afc-d00020f6d2ba · outbound

This paper cites Multimedia Tools and Applications, 2024: p.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Multimedia Tools and Applications, 2024: p

Reference 22

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Observation 33d129c4-3bbf-46eb-9561-087f5f17d78d · outbound

This paper cites Advances in neural information processing systems, 2021.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Advances in neural information processing systems, 2021

Reference 23

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Observation b0897f20-4fef-46fc-ad8b-a0a97a6353b4 · outbound

This paper cites Cbam: Convolutional block attention module.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Cbam: Convolutional block attention module

Reference 24

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Observation e62bc849-5f4e-4cb6-8112-df123d0095ee · outbound

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CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification A convnet for the 2020s

Reference 25

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CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Convnext v2: Co -designing and scaling convnets with masked autoencoders

Reference 26

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CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Densely connected convolutional networks

Reference 27

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CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Rethinking the inception architecture for computer vision

Reference 28

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CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 29

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CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Deep residual learning for image recognition

Reference 30

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This paper cites Advances in Neural Information Processing Systems, 2022.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Advances in Neural Information Processing Systems, 2022

Reference 31

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CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Xception: Deep learning with depthwise separable convolutions

Reference 32

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CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Edgenext: efficiently amalgamated cnn -transformer architecture for mobile vision applications

Reference 33

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CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Inceptionnext: When inception meets convnext

Reference 34

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CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation

Reference 35

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CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Davit: Dual attention vision transformers

Reference 36

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CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Efficientvit: Memory efficient vision transformer with cascaded group attention

Reference 37

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Observation 449f019e-9a99-43ff-9cc3-13132469decd · outbound

This paper cites Global context vision transformers.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Global context vision transformers

Reference 38

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Observation 3993bf6e-7adb-48ec-a860-de2171a9eb93 · outbound

This paper cites Separable Self-attention for Mobile Vision Transformers.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Separable Self-attention for Mobile Vision Transformers

Reference 39

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Observation 64fb3556-124b-44bc-9199-c1c4984f3725 · outbound

This paper cites Swin transformer v2: Scaling up capacity and resolution.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Swin transformer v2: Scaling up capacity and resolution

Reference 40

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Observation 90d2953c-0f13-410c-bac6-f90901257e8f · outbound

This paper cites Tinyvit: Fast pretraining distillation for small vision transformers.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Tinyvit: Fast pretraining distillation for small vision transformers

Reference 41

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Observation 96b55648-3944-451b-bb95-c877e36da688 · outbound

This paper cites Maxvit: Multi-axis vision transformer.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Maxvit: Multi-axis vision transformer

Reference 42

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Observation 9abe0c5a-5596-423a-915d-c76827132739 · outbound

This paper cites Computational visual media, 2022.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Computational visual media, 2022

Reference 43

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Observation 91b7f221-bc2c-4f3d-ba69-47a3e3196418 · outbound

This paper cites Flexivit: One model for all patch sizes.

CoAtNeXt:An Attention-Enhanced ConvNeXtV2-Transformer Hybrid Model for Gastric Tissue Classification Flexivit: One model for all patch sizes

Reference 44

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