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Paper Citation Record · LEDGER

A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2608.10203.

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

pith.paper-citation-record.v1
2608.10203 v1

Coverage vector

measured 39 of 39 reference resolution

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measured 39 of 39 standing notices

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Reference resolution

39 of 39 outbound references displayed

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Outbound references

Observation 08312d50-e93e-40d6-a908-c9d12beb2813 · outbound

This paper cites Neural Comput.

A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Neural Comput

Reference 5

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods cc/paper_files/paper/2021/file/3941c4358616274ac2436eacf67fae05-Paper.pdf

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This paper cites (Eds.), Proceedings of the 33rd International ConferenceonNeuralInformationProcessingSystems,CurranAssociates,Inc.

A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods (Eds.), Proceedings of the 33rd International ConferenceonNeuralInformationProcessingSystems,CurranAssociates,Inc

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Toronto, Ontario

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This paper cites (Eds.), Proceedings of Machine Learning and Systems, pp.

A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods (Eds.), Proceedings of Machine Learning and Systems, pp

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This paper cites IEEE Transactions on Dependable and Secure Computing 18, 72–85.

A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods IEEE Transactions on Dependable and Secure Computing 18, 72–85

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Tune: A Research Platform for Distributed Model Selection and Training

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Explaining Deep Neural Networks using Unsupervised Clustering

Reference 21

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This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 23

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Unresolved cited work

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Computer Vision and Image Understanding 232, 103687

Reference 28

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This paper cites The SVD of Convolutional Weights: A CNN Interpretability Framework.

A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods The SVD of Convolutional Weights: A CNN Interpretability Framework

Reference 29

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Dimensionality compression and expansion in Deep Neural Networks

Reference 30

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods IEEE Transactions on Software Engineering 49, 802–815

Reference 31

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods (Eds.), Advances in Neural Information Processing Sys- tems, Curran Associates, Inc

Reference 33

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 34

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods IEEE Transactions on Image Processing 27, 6025–6038

Reference 35

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods 4911–4920

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods URL:http://dx.doi.org/10.14722/ndss.2018.23198, doi:10.14722/ ndss.2018.23198

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Proceedings of the IEEE 86, 2278–2324

Reference 1998

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods (Eds.), Database Theory — ICDT 2001, Springer Berlin Heidelberg, Berlin, Heidelberg

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods International Journal of Computer Vision (IJCV) 115, 211–252

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Deep Residual Learning for Image Recognition

Reference 2016

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering

Reference 2018

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This paper cites URL: https://proceedings.neurips.cc/paper_files/paper/2019/file/cfcce0621b49c983991ead4c3d4d3b6b-Paper.pdf.

A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods URL: https://proceedings.neurips.cc/paper_files/paper/2019/file/cfcce0621b49c983991ead4c3d4d3b6b-Paper.pdf

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods RobustBench: a standardized adversarial robustness benchmark

Reference 2021

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A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Unresolved cited work

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-14T04:18:10.974766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f4eabbdc-a04d-497d-b634-dac5f8afbb75 · outbound

This paper cites Applied Intelligence 53, 22818–22833.

A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Applied Intelligence 53, 22818–22833

Reference 2023

Resolution
verified exact
doi, observed 2026-08-14T04:18:11.569001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a41080be-8df5-492d-a30c-1f86e5c530c4 · outbound

This paper cites an unresolved cited work.

A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods Unresolved cited work

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-14T04:18:10.694749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:18:10.694749Z digest=sha256:74203861d0653cfafd97ef0bb40558ebb1a566e1a466b339c15ed5eb8820110b

Observation 9ad8a15c-bce1-4c05-a627-b442db64eeed · outbound

This paper cites URL:https://arxiv.org/abs/2512.19472, arXiv:2512.19472.

A Convolutional Layer Activation Dimensionality Reduction for Out-of-Distribution and Adversarial Attack Detection Methods URL:https://arxiv.org/abs/2512.19472, arXiv:2512.19472

Reference 2025

Resolution
verified exact
raw_fallback, observed 2026-08-14T04:18:13.654749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Pith citing papers

No inbound Pith citation observations are available.