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Paper Citation Record · LEDGER

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification

As of 12 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2412.10106.

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

pith.paper-citation-record.v1
2412.10106 v4

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:24:14.989214Z

measured 55 of 55 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

55 of 55 outbound references displayed

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External citation measurements

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Outbound references

Observation e70b8a86-9066-486d-b81b-66772c167084 · outbound

This paper cites Multi-country monkeypox outbreak in non- endemic countries, May 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Multi-country monkeypox outbreak in non- endemic countries, May 2022

Reference 1

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Observation 6915c673-b20c-4729-b886-c719fdc98da0 · outbound

This paper cites Mpox outbreak in the netherlands, 2022: public health response, characteristics of the first 1,000 cases and protection of the first-generation smallpox vaccine.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Mpox outbreak in the netherlands, 2022: public health response, characteristics of the first 1,000 cases and protection of the first-generation smallpox vaccine

Reference 2

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Observation 8b8f843a-da28-4975-8653-b185764cd581 · outbound

This paper cites Overview of mpox outbreak in greece in 2022–2023: Is it over? Viruses, 15(6), 2023.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Overview of mpox outbreak in greece in 2022–2023: Is it over? Viruses, 15(6), 2023

Reference 3

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Observation ccc11908-bd7f-4a47-b560-8aa2345b4b6b · outbound

This paper cites Duque, Joana V.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Duque, Joana V

Reference 4

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Observation 35ae7f10-177a-4fec-bac9-811642096651 · outbound

This paper cites Mpox outbreak in france: epidemiological characteristics and sexual behaviour of cases aged 15 years or older, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Mpox outbreak in france: epidemiological characteristics and sexual behaviour of cases aged 15 years or older, 2022

Reference 5

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Observation af27097b-7b09-4d93-9c5e-3fb12b19777f · outbound

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Unresolved cited work

Reference 6

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Observation 0d104000-b654-4062-8c6a-bfd8b7fe241a · outbound

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Unresolved cited work

Reference 7

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Observation 4b262475-3e57-4054-b7e5-63e30deb90c9 · outbound

This paper cites Barboza, Bijaya Kumar Padhi, and Ranjit Sah.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Barboza, Bijaya Kumar Padhi, and Ranjit Sah

Reference 8

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Observation 6d201780-e9de-45ee-84ca-d2b3a42f4fc5 · outbound

This paper cites Strahan, Lloyd C.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Strahan, Lloyd C

Reference 9

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Observation e6e6e5d3-ed17-4bc0-b622-fcd1b00209d7 · outbound

This paper cites Dermatologist-level classification of skin cancer with deep neural networks.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Dermatologist-level classification of skin cancer with deep neural networks

Reference 10

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Observation f6d4dc38-a03b-4a86-a1e7-77e4212a260d · outbound

This paper cites Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

Reference 11

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Observation 8ced16f1-9ab6-4d27-bb1c-afcb853f678e · outbound

This paper cites Systematic review of machine learning for diagnosis and prognosis in dermatology.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Systematic review of machine learning for diagnosis and prognosis in dermatology

Reference 12

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Observation e8e4125d-13de-42df-9882-7824848bd4bf · outbound

This paper cites Skin lesion classification from dermoscopic images using deep learning techniques.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Skin lesion classification from dermoscopic images using deep learning techniques

Reference 13

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Observation 52fc376a-f852-427f-b3e9-0e3af1e1ec20 · outbound

This paper cites Chadaga, S.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Chadaga, S

Reference 14

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Observation 9f51e633-287c-43be-91d2-dd5e9677bdd5 · outbound

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Unresolved cited work

Reference 15

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Observation cbfd40fc-6dab-489f-ae0b-5da3fd3335e2 · outbound

This paper cites Jaradat, R.E.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Jaradat, R.E

Reference 16

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Observation 73462bc3-49ff-43f0-a506-bd5d1779e849 · outbound

This paper cites A transfer learning and explainable solution to detect mpox from smartphones images.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification A transfer learning and explainable solution to detect mpox from smartphones images

Reference 17

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Observation 73b31a03-5675-46b9-a445-62656772f9a7 · outbound

This paper cites Mehedi Hassan, Anupam Kumar Bairagi, and Sheikh Mohammed Shariful Islam.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Mehedi Hassan, Anupam Kumar Bairagi, and Sheikh Mohammed Shariful Islam

Reference 18

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Observation 491d69a2-3dce-4a14-823e-50731a06970a · outbound

This paper cites Thieme, Y.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Thieme, Y

Reference 19

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Observation 4a068988-5d76-4708-b6dd-7d87dbe82a08 · outbound

This paper cites Efficientvit: Multi-scale linear attention for high-resolution dense prediction, 2024.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Efficientvit: Multi-scale linear attention for high-resolution dense prediction, 2024

Reference 20

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Observation 2668ddb4-041c-406d-a3fe-2bd7beaca4fe · outbound

This paper cites Monkeynet: A robust deep convolutional neural network for monkeypox disease detection and classification.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Monkeynet: A robust deep convolutional neural network for monkeypox disease detection and classification

Reference 21

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Observation 30032076-23f3-421c-a2dc-bdeae152f58e · outbound

This paper cites Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study

Reference 22

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Observation bb6bb80d-eeca-4dae-b632-5f246602a02b · outbound

This paper cites A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification A Web-based Mpox Skin Lesion Detection System Using State-of-the-art Deep Learning Models Considering Racial Diversity

Reference 23

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Observation e98f46e0-36b2-40aa-b8f5-53f65fbbb0e9 · outbound

This paper cites Going deeper with convolutions, 2014.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Going deeper with convolutions, 2014

Reference 24

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Observation 91754037-da40-4e8b-a1e9-df25c5406cdc · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Imagenet classification with deep convolutional neural networks

Reference 25

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Observation 00ba7f56-190b-4478-9f06-027cf4c7a913 · outbound

This paper cites Aggregated residual transformations for deep neural networks, 2017.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Aggregated residual transformations for deep neural networks, 2017

Reference 26

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Deep residual learning for image recognition, 2015

Reference 27

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This paper cites Xception: Deep learning with depthwise separable convolutions, 2017.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Xception: Deep learning with depthwise separable convolutions, 2017

Reference 28

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Unresolved cited work

Reference 29

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This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 30

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Observation 9c013565-1afb-4fd2-b3a6-6d304464ff6f · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification An image is worth 16x16 words: Transformers for image recognition at scale, 2021

Reference 31

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Observation af4d7fac-ccc0-4f7f-9475-40662aad6022 · outbound

This paper cites Do vision transformers see like convolutional neural networks?, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Do vision transformers see like convolutional neural networks?, 2022

Reference 32

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Observation f2527350-9bed-4c52-8421-b11ffb9debe2 · outbound

This paper cites How do vision transformers work?, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification How do vision transformers work?, 2022

Reference 33

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Source-reported events for the cited work

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Observation 7204ef1f-d318-4c00-a8c9-228d41ff1dc6 · outbound

This paper cites When vision transformers outperform resnets without pre-training or strong data augmentations, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification When vision transformers outperform resnets without pre-training or strong data augmentations, 2022

Reference 34

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Observation 51a2c413-b3bf-4f06-8224-dc25335910e9 · outbound

This paper cites Cmt: Convolutional neural networks meet vision transformers, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Cmt: Convolutional neural networks meet vision transformers, 2022

Reference 35

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Observation 6484df51-8efa-4703-8abd-609c1f9dcfb6 · outbound

This paper cites A convnet for the 2020s, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification A convnet for the 2020s, 2022

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Observation de766cdf-ff71-43c3-bf13-31b4a5c65c3e · outbound

This paper cites Levit: a vision transformer in convnet’s clothing for faster inference, 2021.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Levit: a vision transformer in convnet’s clothing for faster inference, 2021

Reference 37

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Observation b59d052e-0bfe-4368-83ed-7e002e495482 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows, 2021.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Swin transformer: Hierarchical vision transformer using shifted windows, 2021

Reference 38

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This paper cites Le, and Mingxing Tan.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Le, and Mingxing Tan

Reference 39

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Observation 29fae2ab-9e9f-45d2-abc6-152490550eff · outbound

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Unresolved cited work

Reference 40

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Observation 293cd121-13a8-4ab0-9d29-3e283d2e787e · outbound

This paper cites Metaheuristics optimization-based ensemble of deep neural networks for mpox disease detection.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Metaheuristics optimization-based ensemble of deep neural networks for mpox disease detection

Reference 41

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Observation e54efed3-a1b2-46f8-9b23-7e329d20556d · outbound

This paper cites Mobilenetv2: Inverted residuals and linear bottlenecks, 2019.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Mobilenetv2: Inverted residuals and linear bottlenecks, 2019

Reference 42

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Observation 81a6556d-44fa-4745-ba8a-cdc5edf24d64 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift, 2015.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Batch normalization: Accelerating deep network training by reducing internal covariate shift, 2015

Reference 43

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Observation a372b4fa-ec7a-4a5e-a9d6-ddcaee89c250 · outbound

This paper cites Efficientvit: Memory efficient vision transformer with cascaded group attention, 2023.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Efficientvit: Memory efficient vision transformer with cascaded group attention, 2023

Reference 44

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A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Unresolved cited work

Reference 45

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Observation 1e585c0d-4971-42e4-a257-a5ea9b2459dd · outbound

This paper cites Rep- resentation degeneration problem in training natural language generation models, 2019.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Rep- resentation degeneration problem in training natural language generation models, 2019

Reference 46

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Observation 3dd9318d-535e-4e83-af64-f3ea95999bce · outbound

This paper cites Going deeper with image transformers, 2021.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Going deeper with image transformers, 2021

Reference 47

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Observation bd1dea03-efee-4e82-8620-0d517a51ee2d · outbound

This paper cites Deepvit: Towards deeper vision transformer, 2021.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Deepvit: Towards deeper vision transformer, 2021

Reference 48

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Observation 68a46aaa-daf3-40df-a81b-ab0cc36c73cd · outbound

This paper cites Refiner: Refining self- attention for vision transformers, 2021.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Refiner: Refining self- attention for vision transformers, 2021

Reference 49

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Observation fea8c232-b776-4049-8461-d210ee63b8cd · outbound

This paper cites The principle of diversity: Training stronger vision transformers calls for reducing all levels of redundancy, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification The principle of diversity: Training stronger vision transformers calls for reducing all levels of redundancy, 2022

Reference 50

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Observation 64d0e56e-20f5-4fad-afbf-021b0f4c2d5e · outbound

This paper cites Le, and Hartwig Adam.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Le, and Hartwig Adam

Reference 51

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Observation 5cfd8e24-e2f1-4d7d-847e-0b272be7ab8e · outbound

This paper cites Deit iii: Revenge of the vit, 2022.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Deit iii: Revenge of the vit, 2022

Reference 52

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Observation 85d58187-fb9a-4ddc-8843-b46fabfb3b70 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library, 2019.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Pytorch: An imperative style, high-performance deep learning library, 2019

Reference 53

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Observation 2c9989d2-f0c1-4b18-b8b9-f17b1a86d20d · outbound

This paper cites Pytorch image models.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Pytorch image models

Reference 54

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Unavailable: canonical work link unavailable.

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Observation a03a320b-7088-4fa3-8d02-71ffdd9dc3d7 · outbound

This paper cites Focal loss for dense object detection, 2018.

A Cascaded Dilated Convolution Approach for Mpox Lesion Classification Focal loss for dense object detection, 2018

Reference 55

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Pith citing papers

No inbound Pith citation observations are available.