Paper Citation Record · LEDGER

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks

As of 19 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.17000.

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

pith.paper-citation-record.v1
2507.17000 v1

Coverage vector

measured 37 of 37 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

37 of 37 outbound references displayed

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External citation measurements

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Outbound references

Observation 6a61e9a9-515a-4dd6-b423-63877ed4c742 · outbound

This paper cites Ac- cessed: 03-12-2021.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Ac- cessed: 03-12-2021

Reference 1

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This paper cites SREFI: Synthesis of realistic example face images.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks SREFI: Synthesis of realistic example face images

Reference 2

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This paper cites Human- aided saliency maps improve generalization of deep learning.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Human- aided saliency maps improve generalization of deep learning

Reference 3

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This paper cites Cyborg: Blending human saliency into the loss im- proves deep learning-based synthetic face detection.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Cyborg: Blending human saliency into the loss im- proves deep learning-based synthetic face detection

Reference 4

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This paper cites Grad-cam++: General- ized gradient-based visual explanations for deep convolu- tional networks.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Grad-cam++: General- ized gradient-based visual explanations for deep convolu- tional networks

Reference 5

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Observation 059c8ef1-5371-412d-b6d0-56d6a76ac1de · outbound

This paper cites StarGAN: Unified Gen- erative Adversarial Networks for Multi-Domain Image-to- Image Translation.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks StarGAN: Unified Gen- erative Adversarial Networks for Multi-Domain Image-to- Image Translation

Reference 6

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Observation 91415211-2f8d-4579-851b-efe14999fe89 · outbound

This paper cites Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networks

Reference 7

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This paper cites Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs

Reference 8

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This paper cites Iris liveness detection based on quality re- lated features.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Iris liveness detection based on quality re- lated features

Reference 9

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Observation 10ea0cd9-2108-4aa8-8c9c-63fb5dd18968 · outbound

This paper cites ProGAN: Net- work Embedding via Proximity Generative Adversarial Net- work.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks ProGAN: Net- work Embedding via Proximity Generative Adversarial Net- work

Reference 10

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Observation c4338640-16cc-46b9-b6ce-9b09532ff5ef · outbound

This paper cites Fooling neu- ral network interpretations via adversarial model manipula- tion.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Fooling neu- ral network interpretations via adversarial model manipula- tion

Reference 11

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This paper cites Weinberger.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Weinberger

Reference 12

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This paper cites Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Mimic-cxr, a de- identified publicly available database of chest radiographs with free-text reports

Reference 13

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Observation 8c7b7c7f-f89f-4621-8e62-e5efd85ecd9f · outbound

This paper cites Progressive growing of gans for improved quality, stability, and variation, 2017.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Progressive growing of gans for improved quality, stability, and variation, 2017

Reference 14

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This paper cites A style-based generator architecture for generative adversarial networks.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks A style-based generator architecture for generative adversarial networks

Reference 15

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Observation 1ad87b62-1c35-4988-9e5c-44e1cc897321 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks A style-based generator architecture for generative adversarial networks

Reference 16

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This paper cites Training generative adver- sarial networks with limited data.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Training generative adver- sarial networks with limited data

Reference 17

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This paper cites Analyzing and improv- ing the image quality of stylegan.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Analyzing and improv- ing the image quality of stylegan

Reference 18

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This paper cites Alias-free generative adversarial networks.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Alias-free generative adversarial networks

Reference 19

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Observation 5335cb98-b4a1-4fe7-a7d6-b4727702a2fe · outbound

This paper cites Revisiting iris recognition with color cosmetic con- tact lenses.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Revisiting iris recognition with color cosmetic con- tact lenses

Reference 20

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This paper cites Detecting medley of iris spoofing attacks using desist.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Detecting medley of iris spoofing attacks using desist

Reference 21

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Observation 781b8c84-fea1-49f7-a3ca-a73a41912d1c · outbound

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Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Multifeature-based fake iris detection method

Reference 22

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Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Eigen-cam: Class activation map using principal compo- nents

Reference 23

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This paper cites Warsaw datasets web- page.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Warsaw datasets web- page

Reference 24

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This paper cites Lessons from collecting a million biometric samples.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Lessons from collecting a million biometric samples

Reference 25

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This paper cites Ablation-cam: Visual explanations for deep convolutional network via gradient- free localization.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Ablation-cam: Visual explanations for deep convolutional network via gradient- free localization

Reference 26

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Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Eye movement- driven defense against iris print-attacks

Reference 27

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Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 28

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Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Assessment of iris recognition reliability for eyes af- fected by ocular pathologies

Reference 29

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Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Assessment of iris recognition reliability for eyes af- fected by ocular pathologies

Reference 30

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This paper cites Post-mortem iris recognition with deep-learning-based image segmentation.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Post-mortem iris recognition with deep-learning-based image segmentation

Reference 31

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Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Score-cam: Score-weighted visual explanations for convolutional neural networks

Reference 32

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This paper cites Synthesis of large realistic iris databases using patch-based sampling.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Synthesis of large realistic iris databases using patch-based sampling

Reference 33

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This paper cites Livdet iris 2017-iris liveness detection competition 2017.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Livdet iris 2017-iris liveness detection competition 2017

Reference 34

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This paper cites Livdet-iris 2015–iris liveness detection com- petition 2015.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Livdet-iris 2015–iris liveness detection com- petition 2015

Reference 35

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This paper cites Learning deep features for discrimi- native localization.

Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Learning deep features for discrimi- native localization

Reference 36

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Divisive Decisions: Improving Salience-Based Training for Generalization in Binary Classification Tasks Learning deep features for discrimina- tive localization

Reference 37

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