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Paper Citation Record · LEDGER

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination

As of 14 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2501.14322.

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

pith.paper-citation-record.v1
2501.14322 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:20:09.978462Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

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

41 of 41 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c64223a1-0bd3-4ca1-a661-f17de8d97b1d · outbound

This paper cites What is relevant in a text document?: An interpretable machine learning approach.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination What is relevant in a text document?: An interpretable machine learning approach

Reference 1

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Observation 520cd331-3548-41ee-bad2-4d43513ef219 · outbound

This paper cites On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation

Reference 2

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Observation 88ca6fe8-60e5-4329-a09a-22d137a17f06 · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 3

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Observation a96c2013-8c23-4aa6-8649-a7b9be954716 · outbound

This paper cites Explaining by Removing: A Unified Framework for Model Explanation.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Explaining by Removing: A Unified Framework for Model Explanation

Reference 4

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Observation 1d768d88-5ded-4f9a-9a14-ecad57bea59e · outbound

This paper cites Nonlinear Approximation and (Deep) ReLU Networks.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Nonlinear Approximation and (Deep) ReLU Networks

Reference 5

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Observation a9558baf-625b-4730-8f80-03bb7805be3c · outbound

This paper cites Neural Network Approximation.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Neural Network Approximation

Reference 6

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Observation 05d82648-fc40-41a2-b06d-e893b832c156 · outbound

This paper cites A guide to convolution arithmetic for deep learning.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination A guide to convolution arithmetic for deep learning

Reference 7

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Observation 8e2613f1-4525-421f-a0c7-0cb42f5a31c8 · outbound

This paper cites Combining pretrained CNN feature extractors to enhance clustering of complex natural images.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Combining pretrained CNN feature extractors to enhance clustering of complex natural images

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 143522a5-eda7-4aa4-b426-dedf908d46fe · outbound

This paper cites Semantically Meaningful View Selection.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Semantically Meaningful View Selection

Reference 9

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Observation 9225c1e7-616d-424a-8e0e-7cda151dae71 · outbound

This paper cites Unsupervised robotic sorting: Towards autonomous decision making robots.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Unsupervised robotic sorting: Towards autonomous decision making robots

Reference 10

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Observation 8f0aefbd-f53d-4926-9307-930e63413983 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Deep Residual Learning for Image Recognition

Reference 11

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Observation e199d381-f242-418e-bf5d-1be2cf5d47b9 · outbound

This paper cites Long Short-term Memory.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Long Short-term Memory

Reference 12

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Observation 28ad7948-86e9-47ad-a887-8dbc0c8d9eb3 · outbound

This paper cites Explainable AI Methods - A Brief Overview.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Explainable AI Methods - A Brief Overview

Reference 13

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Observation 49cdeb62-3778-431b-b664-0a7b1423885e · outbound

This paper cites url: https://doi.org/10.1007/978-3- 031-04083-2_2.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination url: https://doi.org/10.1007/978-3- 031-04083-2_2

Reference 14

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Observation e94ca8a7-fedf-46d4-8734-5e662124e6b0 · outbound

This paper cites Explaining the unique nature of individual gait patterns with deep learning.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Explaining the unique nature of individual gait patterns with deep learning

Reference 15

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Observation 8fa749ad-a6a0-47d5-ab3a-08ce7c51eb56 · outbound

This paper cites A Visual Designer of Layer-wise Relevance Propagation Models.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination A Visual Designer of Layer-wise Relevance Propagation Models

Reference 16

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Observation 3143cad3-8624-46bb-be0d-287eef252e66 · outbound

This paper cites Explaining CNN and RNN Using Selective Layer-Wise Relevance Propagation.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Explaining CNN and RNN Using Selective Layer-Wise Relevance Propagation

Reference 17

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Observation 88de25fb-b20e-4532-83db-3d02bea2b9a2 · outbound

This paper cites Towards Best Practice in Explaining Neural Network Decisions with LRP.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Towards Best Practice in Explaining Neural Network Decisions with LRP

Reference 18

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Observation ea5c2399-d3fd-41dc-b469-e9566e81607a · outbound

This paper cites Understanding and Comparing Deep Neural Networks for Age and Gender Classification.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Understanding and Comparing Deep Neural Networks for Age and Gender Classification

Reference 19

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Observation 91e90627-0ae9-4426-8fb9-1c8ec54dd37f · outbound

This paper cites Unmasking Clever Hans predictors and assessing what machines really learn.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Unmasking Clever Hans predictors and assessing what machines really learn

Reference 20

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Observation b88476d5-8227-4af1-a1df-6ab1a5c5837c · outbound

This paper cites Explaining nonlinear classification decisions with deep Taylor decomposition.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Explaining nonlinear classification decisions with deep Taylor decomposition

Reference 21

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Observation 0599db4d-4786-48d6-8bfd-6f7402ef6f3a · outbound

This paper cites Layer-Wise Relevance Propagation: An Overview.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Layer-Wise Relevance Propagation: An Overview

Reference 22

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Observation 95592519-d85a-4198-9205-7821449386c6 · outbound

This paper cites RISE: Randomized Input Sampling for Explanation of Black-box Models.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination RISE: Randomized Input Sampling for Explanation of Black-box Models

Reference 23

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Observation 92ccc942-7722-47aa-80c7-d5bec1438de0 · outbound

This paper cites Why Should I Trust You?: Explaining the Predictions of any Classifier.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Why Should I Trust You?: Explaining the Predictions of any Classifier

Reference 24

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Observation c37f5826-87d0-44e7-9e99-d8bfd5e0e10c · outbound

This paper cites Online Recognition of Incomplete Gesture Data to Interface Collaborative Robots.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Online Recognition of Incomplete Gesture Data to Interface Collaborative Robots

Reference 25

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Observation d0a4fa90-755c-4afe-a990-f1aeefd1496a · outbound

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Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Reference 26

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Observation 4bf8e433-d18b-43dc-9d7e-0c315937029e · outbound

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Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Improving novelty detection with generative adversarial networks on hand gesture data

Reference 27

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Observation 7ff3a02a-bc3d-4364-b1d8-97e637369936 · outbound

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Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination EMG-based online classification of gestures with recurrent neural networks

Reference 28

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Observation c28c7440-1106-463c-8d00-82f70f9b7ea1 · outbound

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Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination A Review on Electromyography Decoding and Pattern Recognition for Human-Machine Interaction

Reference 29

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Observation ab9f9598-a2f5-4db2-9479-3a6c0ab4d7e6 · outbound

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Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Using data dimensionality reduction for recognition of incomplete dynamic gestures

Reference 30

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Source-reported events for the cited work

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Observation 3aa7c845-1077-488b-bb8d-ea6ba97f5ce6 · outbound

This paper cites Striving for Simplicity: The All Convolutional Net.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Striving for Simplicity: The All Convolutional Net

Reference 31

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Observation 1e85ab2c-e27b-4f7a-912a-487178a47a99 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 32

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Observation 6cf3718f-7d3f-43c7-a363-636ce26ec9d9 · outbound

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Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Axiomatic Attribution for Deep Networks

Reference 33

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Observation dd4e2569-d450-41ff-bd3f-9a3bc84b3729 · outbound

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Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Interpretable human action recognition in compressed do- main

Reference 34

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Observation 67863f44-a1dc-47da-991c-1931e69db54e · outbound

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Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Thulasiraman and M

Reference 35

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Observation 49400445-5bcb-4f35-8914-001b441e0f0e · outbound

This paper cites Analyzing Neuroimaging Data Through Recurrent Deep Learning Models.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Analyzing Neuroimaging Data Through Recurrent Deep Learning Models

Reference 36

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Source-reported events for the cited work

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Observation 745e5ddd-677c-4d94-80a7-7edcf3766f8b · outbound

This paper cites Attention Is All You Need.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Attention Is All You Need

Reference 37

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fc07db14-ae42-420c-96e5-09893689eb72 · outbound

This paper cites MLP-Mixer: An all-MLP Architecture for Vision.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination MLP-Mixer: An all-MLP Architecture for Vision

Reference 38

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5747246e-922f-4d0b-8498-7c716b9d999d · outbound

This paper cites Top-down Neural Attention by Excitation Backprop.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Top-down Neural Attention by Excitation Backprop

Reference 39

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raw_fallback, observed 2026-08-10T15:20:10.939172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f68e86b9-94cf-487c-9e59-667e6fd5758f · outbound

This paper cites Visualizing and Understanding Convolutional Networks.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Visualizing and Understanding Convolutional Networks

Reference 40

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verified fuzzy
raw_fallback, observed 2026-08-10T15:20:10.950491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8cb336ee-7691-4578-922c-25dd3d93616e · outbound

This paper cites an unresolved cited work.

Relative Layer-Wise Relevance Propagation: a more Robust Neural Networks eXplaination Unresolved cited work

Reference 1144

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.