Paper Citation Record · LEDGER

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

As of 20 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

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:18:11.450958Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

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Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

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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 Unresolved cited work

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This paper cites cc/paper_files/paper/2021/file/3941c4358616274ac2436eacf67fae05-Paper.pdf.

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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Observation 45fa2bcb-df10-466b-b960-b9582d4e187f · outbound

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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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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

Reference 15

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Observation d61360ae-0e4c-4d86-8eb5-bbcb28b39e27 · outbound

This paper cites Toronto, Ontario.

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

Reference 16

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Observation de29e100-905b-4d13-bd0d-0e888908a044 · outbound

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

Reference 18

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Observation bb39631e-58d8-47cf-bf8c-305518d2d2ef · outbound

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

Reference 19

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Observation 7fce8bf4-1282-44ed-a6be-a1fca25f74c7 · outbound

This paper cites Tune: A Research Platform for Distributed Model Selection and Training.

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

Reference 20

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Observation e3a9b0d1-1c01-45fe-956c-549b765d9485 · outbound

This paper cites Explaining Deep Neural Networks using Unsupervised Clustering.

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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Observation 32c0616d-53e0-4ca4-bfd0-c074f0f980ce · outbound

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

Reference 26

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Observation a11e0245-8780-4bc1-9bcf-d5500f7f3ecf · outbound

This paper cites Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning.

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

Reference 27

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Observation b99fb53f-a1e1-44ca-ae1a-056b138e6acc · outbound

This paper cites Computer Vision and Image Understanding 232, 103687.

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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Observation c9d12b1e-958b-4053-92bf-ec84494e6e44 · outbound

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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Observation 9450ab03-c749-4a35-932c-9caf397d7a9f · outbound

This paper cites Dimensionality compression and expansion in Deep Neural Networks.

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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Observation 0e7e3470-44ba-4bd1-8930-f9933604c8bc · outbound

This paper cites IEEE Transactions on Software Engineering 49, 802–815.

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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Observation 4f6b1e33-5f32-4a99-9855-a98e2eb49299 · outbound

This paper cites (Eds.), Advances in Neural Information Processing Sys- tems, Curran Associates, Inc.

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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Observation 91fb0555-adf5-4e98-91af-134ca7d917e7 · outbound

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

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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Observation 7a73d7ea-c9de-4099-8d0d-9acfca5d8716 · outbound

This paper cites IEEE Transactions on Image Processing 27, 6025–6038.

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 Unresolved cited work

Reference 36

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Observation 85920a73-9542-4127-a60d-c34b16b0b377 · outbound

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

Reference 37

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Observation 5aeeb1fb-716d-44ea-bd6e-2a5c13fa12c3 · outbound

This paper cites URL:http://dx.doi.org/10.14722/ndss.2018.23198, doi:10.14722/ ndss.2018.23198.

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

Reference 38

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

Reference 39

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Observation c1be9b0c-7bfb-4bb7-a418-9a623659f9d2 · outbound

This paper cites OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection.

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

Reference 40

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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

Reference 2001

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

Reference 2010

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

Reference 2014

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Observation 23292d03-dd45-4a8a-a4d0-d9367428efc3 · outbound

This paper cites International Journal of Computer Vision (IJCV) 115, 211–252.

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

Reference 2015

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Observation a57709e2-0f8b-48f4-bddf-1c83dcb27696 · outbound

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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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Observation bc15e21f-802a-4e3f-b608-0e30a912c5bf · outbound

This paper cites Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering.

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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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

Reference 2019

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Observation 5c796302-5404-4ba0-9f52-3373564d58a1 · outbound

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

Reference 2020

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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

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

Reference 2023

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

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

Reference 2024

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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

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.