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Paper Citation Record · LEDGER

Guided Diffusion Model for Adversarial Purification

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2205.14969.

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

pith.paper-citation-record.v1
2205.14969 v3

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:57:26.454107Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:18:55.562656Z

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Outbound references

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Pith citing papers

Observation c1d3f5d7-93b7-4747-adf8-e6828233d692 · inbound

Random Sampling for Diffusion-based Adversarial Purification cites this paper.

Random Sampling for Diffusion-based Adversarial Purification Guided Diffusion Model for Adversarial Purification

Reference 31

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no resolver link, observed 2026-08-12T10:47:24.512299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:47:24.512299Z digest=sha256:e08ce8ad2042e7cf2a3183196e49bf9d03788af867749c91cd71ed54e5cd0e30

Observation 85180841-b7cd-4a4c-83c8-8b6c7def1f34 · inbound

A Generative Victim Model for Segmentation cites this paper.

A Generative Victim Model for Segmentation Guided Diffusion Model for Adversarial Purification

Reference 27

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no resolver link, observed 2026-08-11T19:01:26.702052Z

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source=pdf_text observed=2026-08-11T19:01:26.702052Z digest=sha256:3317783cf701fc456684ea02fd0c8dded18181398d91de6939652824c11dc1ae

Observation 98d7040a-20fe-4181-a01a-afb4509652d0 · inbound

VideoPure: Diffusion-based Adversarial Purification for Video Recognition cites this paper.

VideoPure: Diffusion-based Adversarial Purification for Video Recognition Guided Diffusion Model for Adversarial Purification

Reference 31

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no resolver link, observed 2026-08-10T14:48:57.468719Z

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source=pdf_text observed=2026-08-10T14:48:57.468719Z digest=sha256:4f0a2834d1dcf24e18395250623b7e86b28243c63fed800bb97649e7f58e1938

Observation d29a162f-50ba-456e-a16c-ed207c6d0726 · inbound

Improving Data Fidelity via Diffusion Model-based Correction and Super-Resolution cites this paper.

Improving Data Fidelity via Diffusion Model-based Correction and Super-Resolution Guided Diffusion Model for Adversarial Purification

Reference 50

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no resolver link, observed 2026-08-15T21:57:26.454107Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:57:26.454107Z digest=sha256:ceda507f7cfec048ee304afcfdf9a2c1aa86a313c4c6ec770cb86293c6bef102

Observation 5841c4ea-9b28-4a02-bd9b-0792b1dd6ffb · inbound

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective cites this paper.

Adversarially Robust AI-Generated Image Detection for Free: An Information Theoretic Perspective Guided Diffusion Model for Adversarial Purification

Reference 54

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no resolver link, observed 2026-08-07T13:10:14.244190Z

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source=pdf_text observed=2026-08-07T13:10:14.244190Z digest=sha256:9cf307dad43b2bf9d55b5966fa2ffd705a3513581caf27a50bfc038bda1fea92

Observation 31ba7a28-d5ad-4533-8fbe-fa6a070fb078 · inbound

Demystifying Adversarial Robustness in Diffusion Models: Compression, Randomness, and Geometry cites this paper.

Demystifying Adversarial Robustness in Diffusion Models: Compression, Randomness, and Geometry Guided Diffusion Model for Adversarial Purification

Reference 15

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no resolver link, observed 2026-08-07T13:05:48.821582Z

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source=pdf_text observed=2026-08-07T13:05:48.821582Z digest=sha256:3f2316d5c463b245ea0e727c3edb758cbcefae6e187b1b5103bfab2c43deced9

Observation 0f1579a9-8104-49d0-a6b9-1380e9356ac1 · inbound

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking cites this paper.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Guided Diffusion Model for Adversarial Purification

Reference 8

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source=pdf_text observed=2026-08-07T12:12:08.502128Z digest=sha256:b0a37e2c712c22482aa1e8fca91624f468fa9511d2ebadd1646485f7d55659ff

Observation 8984b251-0ef0-47ad-b3cf-4765b3b8d967 · inbound

ReconMOST: Multi-Layer Sea Temperature Reconstruction with Observations-Guided Diffusion cites this paper.

ReconMOST: Multi-Layer Sea Temperature Reconstruction with Observations-Guided Diffusion Guided Diffusion Model for Adversarial Purification

Reference 7

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no resolver link, observed 2026-08-07T04:33:47.061430Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:47.061430Z digest=sha256:4167ab57ad14887cd7b693096f49d55afbc251edcf509e70939625748b252a0c

Observation 662472bf-924d-4b0d-b8ad-f5f7a20f3466 · inbound

Active Adversarial Noise Suppression for Image Forgery Localization cites this paper.

Active Adversarial Noise Suppression for Image Forgery Localization Guided Diffusion Model for Adversarial Purification

Reference 44

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source=pdf_text observed=2026-08-07T00:41:18.003374Z digest=sha256:f9c0c4043e8bbc02f1a16150781a00081e89384bb2f4fa362565b272d0288acd

Observation 5971908d-e759-4d83-af38-6c56fe5047dc · inbound

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization cites this paper.

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization Guided Diffusion Model for Adversarial Purification

Reference 44

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no resolver link, observed 2026-08-06T19:02:05.246199Z

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source=pdf_text observed=2026-08-06T19:02:05.246199Z digest=sha256:c9ec13d46b02af63178a56b2b11f610b859ae3a850175077e8741ad8c87fdf70

Observation add8ce6e-dd0f-480e-8eed-005f478fe6b5 · inbound

Adaptive Diffusion Denoised Smoothing : Certified Robustness via Randomized Smoothing with Differentially Private Guided Denoising Diffusion cites this paper.

Adaptive Diffusion Denoised Smoothing : Certified Robustness via Randomized Smoothing with Differentially Private Guided Denoising Diffusion Guided Diffusion Model for Adversarial Purification

Reference 2014

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no resolver link, observed 2026-08-06T18:36:54.422030Z

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source=pdf_text observed=2026-08-06T18:36:54.422030Z digest=sha256:6931c5501710e99782e866d7fd58bf8ac0d785492717911464e82a2089a9cd72

Observation 59a09fa4-6092-43fb-a7ea-1a63375fcb53 · inbound

Feature Engineering for Wireless Communications and Networking: Concepts, Methodologies, and Applications cites this paper.

Feature Engineering for Wireless Communications and Networking: Concepts, Methodologies, and Applications Guided Diffusion Model for Adversarial Purification

Reference 1

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no resolver link, observed 2026-08-06T14:03:07.921639Z

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source=pdf_text observed=2026-08-06T14:03:07.921639Z digest=sha256:0999719c48d4c870308aef69a22a5d2b8ab1f2ef889d594e5254578a34569759

Observation 83c45a52-47fc-482a-99c6-080cce9509e5 · inbound

NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations cites this paper.

NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations Guided Diffusion Model for Adversarial Purification

Reference 36

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no resolver link, observed 2026-08-04T09:44:18.058084Z

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source=pdf_text observed=2026-08-04T09:44:18.058084Z digest=sha256:68b665d27b48e8ffc4a6d12dc24f178539f4607b710cb8f0efbb277ddd521311

Observation 2e51cacf-8a4a-43d0-a77a-24b9071f3306 · inbound

Enhancing Adversarial Robustness with Signed Distance Fields for Harmonizing Geometric Invariance and Texture cites this paper.

Enhancing Adversarial Robustness with Signed Distance Fields for Harmonizing Geometric Invariance and Texture Guided Diffusion Model for Adversarial Purification

Reference 22

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no resolver link, observed 2026-08-03T04:23:55.308307Z

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source=pdf_text observed=2026-08-03T04:23:55.308307Z digest=sha256:6d8334c7f8b9560a6e85da3ec0d01677eac6ff37e9ccc460fea3beb42781062d

Observation 1ce71694-9a82-47b6-9ff1-5835a2fe7fd9 · inbound

TARO: Temporal Adversarial Rectification Optimization Using Diffusion Models as Purifiers cites this paper.

TARO: Temporal Adversarial Rectification Optimization Using Diffusion Models as Purifiers Guided Diffusion Model for Adversarial Purification

Reference 12

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verified exact
arxiv_id, observed 2026-05-12T07:26:30.577131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-12T02:52:25.317140Z digest=sha256:049730b7fbbe923a3c01d1732cc1052e93d0370820f1574321c15ec9068b1be8

Observation f541ef1a-626e-47b9-a933-3d7be5ac27ae · inbound

Beyond False Stability: High-Noise Drift Gating for Test-Time Adversarial Defenses in Vision-Language Models cites this paper.

Beyond False Stability: High-Noise Drift Gating for Test-Time Adversarial Defenses in Vision-Language Models Guided Diffusion Model for Adversarial Purification

Reference 45

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verified exact
arxiv_id, observed 2026-07-02T02:16:26.823378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T11:04:30.654255Z digest=sha256:32a9472b28d0d6c8c6a6f914dd1c68548c9768da93ef27b778ebf9e7ce9ee51f

Observation dd0cb5c7-f355-4e73-9874-24dde2508fbd · inbound

Stain-Aware Wavelet Regularization for Instant Adversarial Purification in Histopathology cites this paper.

Stain-Aware Wavelet Regularization for Instant Adversarial Purification in Histopathology Guided Diffusion Model for Adversarial Purification

Reference 28

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arxiv_id, observed 2026-07-02T22:27:25.959677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T18:53:59.156013Z digest=sha256:5b6b3ef3bfca1335e83778f7d3c755532f39bd99b784115ba08624337cfbbe16

Observation 11a76517-d887-44ec-9e45-7c50cd46ba0f · inbound

Generative AI and Federated Learning for Intrusion Detection Systems: A Survey cites this paper.

Generative AI and Federated Learning for Intrusion Detection Systems: A Survey Guided Diffusion Model for Adversarial Purification

Reference 97

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verified exact
arxiv_id, observed 2026-07-03T20:18:55.564625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-03T20:18:02.667339Z digest=sha256:666a596b4036f0a8011dfc0fde73c8e20d379fbdbebe5fa24ada354445bf4cfd

Observation 11239b52-4628-4e63-be36-4d22994f6550 · inbound

IDATA: Scalable Invertible Diffusion for Unrestricted Adversarial Transfer Attack cites this paper.

IDATA: Scalable Invertible Diffusion for Unrestricted Adversarial Transfer Attack Guided Diffusion Model for Adversarial Purification

Reference 63

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source=pdf_text observed=2026-08-14T04:32:54.423082Z digest=sha256:787dfa724899d5109e73412cfa80d8c6f4d7e1a43d1ef8790598fe96c8f1d5ac