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Paper Citation Record · LEDGER

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:1610.02391.

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

pith.paper-citation-record.v1
1610.02391 v4

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:51:30.490389Z

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

Source: arxiv_reference, observed 2026-07-04T10:09:44.797401Z

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Outbound references

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Pith citing papers

Observation ac213b7d-605b-4c6b-a9f8-968e12cedfd7 · inbound

Neuron ranking -- an informed way to condense convolutional neural networks architecture cites this paper.

Neuron ranking -- an informed way to condense convolutional neural networks architecture Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 16

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arxiv_id, observed 2026-05-25T10:00:37.262826Z

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ViperGPT: Visual Inference via Python Execution for Reasoning cites this paper.

ViperGPT: Visual Inference via Python Execution for Reasoning Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 48

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arxiv_id, observed 2026-05-17T18:15:14.540561Z

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Observation 2cda27f1-fbc3-4652-b273-39f27908be8a · inbound

Vision Transformers Need Registers cites this paper.

Vision Transformers Need Registers Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 219

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arxiv_id, observed 2026-05-13T09:41:38.281771Z

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Observation 0d980ec8-17a9-4a44-8cce-1d2e12b4889a · inbound

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features cites this paper.

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 45

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Observation b841df4e-e0de-490d-a5af-a21d0be55e5c · inbound

Classifying merger stages with adaptive deep learning and cosmological hydrodynamical simulations cites this paper.

Classifying merger stages with adaptive deep learning and cosmological hydrodynamical simulations Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 78

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Observation 9ff8260e-6ecf-4187-9b7a-b4b11ab366ce · inbound

Explaining 3D Computed Tomography Classifiers with Counterfactuals cites this paper.

Explaining 3D Computed Tomography Classifiers with Counterfactuals Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 14

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Observation a17a43d2-ac9d-4ca3-a610-3ee177122af7 · inbound

Identifying lopsidedness in spiral galaxies using a Deep Convolutional Neural Network cites this paper.

Identifying lopsidedness in spiral galaxies using a Deep Convolutional Neural Network Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 31

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arxiv_id, observed 2026-05-19T15:02:36.655323Z

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Observation 75452d2d-7d78-4f36-9f2d-0b1e4793ffbe · inbound

An Explainable Diagnostic Framework for Neurodegenerative Dementias via Reinforcement-Optimized LLM Reasoning cites this paper.

An Explainable Diagnostic Framework for Neurodegenerative Dementias via Reinforcement-Optimized LLM Reasoning Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 11

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A Survey on Training-free Open-Vocabulary Semantic Segmentation cites this paper.

A Survey on Training-free Open-Vocabulary Semantic Segmentation Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 50

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Observation 59c33ff6-4bf2-4f3f-8b08-223295bde16b · inbound

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis cites this paper.

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 50

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Observation b7381f7c-2b16-469e-9cc3-ca221504c879 · inbound

CASE: Contrastive Activation for Saliency Estimation cites this paper.

CASE: Contrastive Activation for Saliency Estimation Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 26

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Observation 6ac6269c-657c-4de4-8990-96dd64e16858 · inbound

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks cites this paper.

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 51

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Observation d4c533d0-e5d9-42c1-83d5-50823cdf063f · inbound

XAI-Guided Analysis of Residual Networks for Interpretable Pneumonia Detection in Paediatric Chest X-rays cites this paper.

XAI-Guided Analysis of Residual Networks for Interpretable Pneumonia Detection in Paediatric Chest X-rays Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 29

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Observation cb42f479-8fa0-4962-b020-d54f79e32857 · inbound

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations cites this paper.

On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 50

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Observation 25f5c188-69c2-4b67-8bed-1f2d175eaa85 · inbound

On Spectral Properties of Gradient-based Explanation Methods cites this paper.

On Spectral Properties of Gradient-based Explanation Methods Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 51

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Observation de8b60f9-68ea-42fa-bbdd-5158b0497b66 · inbound

Simulation-based inference using splitting schemes for partially observed diffusions in chemical reaction networks cites this paper.

Simulation-based inference using splitting schemes for partially observed diffusions in chemical reaction networks Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 42

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Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection cites this paper.

Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 21

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Observation 64519ed5-b135-44de-bded-c2738ea00634 · inbound

Systematic Evaluation of Attribution Methods: Eliminating Threshold Bias and Revealing Method-Dependent Performance Patterns cites this paper.

Systematic Evaluation of Attribution Methods: Eliminating Threshold Bias and Revealing Method-Dependent Performance Patterns Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 9

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Observation 7c3056d8-eac2-4e40-b6d0-e9ddbc8d3c53 · inbound

Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans cites this paper.

Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 64

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KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging cites this paper.

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 22

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KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging cites this paper.

KIGNet: Physics-Motivated Multi-Graph Representation Learning for Explainable Jet Tagging Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 22

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Towards Verified and Targeted Explanations through Formal Methods cites this paper.

Towards Verified and Targeted Explanations through Formal Methods Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 50

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Exploring Clustering Capability of Inpainting Model Embeddings for Pattern-based Individual Identification cites this paper.

Exploring Clustering Capability of Inpainting Model Embeddings for Pattern-based Individual Identification Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 67

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OPTIMUS-Prime: Minimal and Sufficient Concept Explanations for Deep Vision Models cites this paper.

OPTIMUS-Prime: Minimal and Sufficient Concept Explanations for Deep Vision Models Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 24

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Variational Proximal Policy Optimization cites this paper.

Variational Proximal Policy Optimization Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 66

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A Differentiable Atari VCS:A Complex, Fully Known Ground Truth for Explainable AI cites this paper.

A Differentiable Atari VCS:A Complex, Fully Known Ground Truth for Explainable AI Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 16

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The Unseen Hand: Manipulating Model Fairness and SHAP with Targeted Identity Re-Association Attacks cites this paper.

The Unseen Hand: Manipulating Model Fairness and SHAP with Targeted Identity Re-Association Attacks Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 12

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MalariAI: A Label-Resilient Decoupled Framework for Annotation-Agnostic Cell Segmentation and Explainable Stage Classification in Dense Malaria Blood Smears cites this paper.

MalariAI: A Label-Resilient Decoupled Framework for Annotation-Agnostic Cell Segmentation and Explainable Stage Classification in Dense Malaria Blood Smears Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 11

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PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification cites this paper.

PulmoSight-XAI: An Explainable Multi-View Attention Ensemble with Gradient Boosting Meta-Learning for Multi-Label Chest X-Ray Classification Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 36

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