Paper Citation Record · LEDGER

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

As of 13 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2506.00325.

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

pith.paper-citation-record.v1
2506.00325 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:12:14.465070Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

47 of 47 outbound references displayed

verified exact1
verified fuzzy13
unresolved33
parse uncertain0
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External citation measurements

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Outbound references

Observation 664da3ed-4276-43c4-9c8f-e46100132b07 · outbound

This paper cites Zhang, Y.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Zhang, Y

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:21.174315Z

Source-reported events for the cited work

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Observation 2d71d385-0155-4106-8ec8-9b76061ef516 · outbound

This paper cites Chen, J.-H.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Chen, J.-H

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:21.049750Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5426db31-6a31-4467-9875-7caf3bddc6cc · outbound

This paper cites A study of the effect of JPG compression on adversarial images.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking A study of the effect of JPG compression on adversarial images

Reference 3

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Observation cbee1fcb-071f-4f2c-906b-8ef6f0bc963f · outbound

This paper cites Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Reference 4

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Observation ee065b11-6008-42a4-a853-69946a24ee17 · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 5

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Observation f3b43817-2f82-4f22-82e8-e650360dec80 · outbound

This paper cites Improving Adversarial Robustness via Attention and Adversarial Logit Pairing.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Improving Adversarial Robustness via Attention and Adversarial Logit Pairing

Reference 6

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Source-reported events for the cited work

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Observation c71759e3-1124-4347-92fb-6ce4d81683e6 · outbound

This paper cites an unresolved cited work.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:12:20.741682Z

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

This paper cites Guided Diffusion Model for Adversarial Purification.

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

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:08.502128Z

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Observation 59559d1c-6f9f-4628-998e-f1a5393731c3 · outbound

This paper cites Diffusion Models for Adversarial Purification.

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

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:12:08.650495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af77c7d9-3b2a-4699-98c7-498f4ef3c8b0 · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:12:20.556376Z

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Observation 88813f54-0810-4603-ba16-419bbeded645 · outbound

This paper cites an unresolved cited work.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 11

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Observation 26beba61-8280-4b1a-bb89-a72e417cbeef · outbound

This paper cites Bertinetto, J.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Bertinetto, J

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:20.157435Z

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Observation bfabe434-a4b8-4ccf-930c-ff27395bfa97 · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 13

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Observation ef7a1bf1-2310-42ce-9261-6ec5209ddb71 · outbound

This paper cites an unresolved cited work.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 14

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Observation 4fb4d37e-9479-494e-90be-2c3a60b8e67d · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 15

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Observation 7657d8b0-2d34-492e-b036-a1324f3dca34 · outbound

This paper cites Danelljan, G.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Danelljan, G

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:19.428718Z

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Observation 22a7e674-0f99-46c4-93b9-1ab83d3ff01c · outbound

This paper cites Danelljan, L.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Danelljan, L

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:19.210566Z

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Observation 5e3f1e20-92cb-43ab-8535-cb216b8a4aae · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 18

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Observation 6c23892d-4a4c-4eab-ae6d-e5e8b2fb0107 · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 19

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 20

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Observation 491a60d0-99af-454f-aca8-7a66b4b6e976 · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 21

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Observation a40d1b3d-fb84-4d3c-81ee-9ad7d54807e1 · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 22

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Observation f84e4ee2-acde-49ec-a453-133b117b8a6e · outbound

This paper cites an unresolved cited work.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:12:18.358468Z

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Observation cbda624d-0ff0-4d3e-ad64-aa502c7da406 · outbound

This paper cites Intriguing properties of neural networks.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Intriguing properties of neural networks

Reference 24

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Observation e9d938cd-e16d-40ed-9803-ed59d6bb4305 · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Explaining and Harnessing Adversarial Examples

Reference 25

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Observation ff512d36-f198-46a1-ab2a-93de7cefb537 · outbound

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

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 26

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Observation 01cee12b-135f-4e16-b0ac-449d3ad2064e · outbound

This paper cites Carlini, D.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Carlini, D

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:18.171692Z

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Observation 8a452761-4b4e-4a4b-ac08-c3d576826998 · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 28

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Observation a663d082-7f52-4da1-95ad-3f9436ce205b · outbound

This paper cites Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

Reference 29

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Observation 1795a568-4644-4cfa-bc45-00f1f42fcfef · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:12:17.790829Z

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Observation b82b8ed7-7fbe-4fd6-aeb0-6b12b36bb407 · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 31

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Observation 215bb5f9-a6c5-4427-9bd8-67aa5a71c4a8 · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 32

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Observation 38485e0f-d537-4ec2-951b-dfa4d1402a53 · outbound

This paper cites Mitigating Adversarial Effects Through Randomization.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Mitigating Adversarial Effects Through Randomization

Reference 33

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Observation 47373a2a-6eba-49b8-9e3d-47f62d2df28b · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Countering Adversarial Images using Input Transformations

Reference 34

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Observation 47af18d4-be96-43be-9010-2a01835507fd · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 35

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 783f16f9-e3f6-4ad0-a908-f0ac567b675c · outbound

This paper cites Goldblum, L.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Goldblum, L

Reference 36

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Observation 475affa9-1a7a-4bcf-81e2-87ecd3973e9a · outbound

This paper cites Zeng, J.-M.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Zeng, J.-M

Reference 37

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e9520131-6677-4145-8976-d9d4931bfecd · outbound

This paper cites Wei, G.-Q.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Wei, G.-Q

Reference 38

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Observation 6aaa9b4a-b484-44c3-b17e-2c0647a9e0df · outbound

This paper cites Zhang, G.-Q.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Zhang, G.-Q

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:12:16.493456Z

Source-reported events for the cited work

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Observation d9331510-5ec4-40e7-91da-38c3bf674d40 · outbound

This paper cites Zeng, H.-N.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Zeng, H.-N

Reference 40

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Source-reported events for the cited work

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Observation 964a8b9f-b67a-4945-be53-c876f657defb · outbound

This paper cites an unresolved cited work.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 41

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Observation dc9e7d54-157e-40bd-b77b-ca7b7ef8ad9a · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 42

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Source-reported events for the cited work

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Observation 1b225973-ef46-4b2a-b877-ca1b93384e64 · outbound

This paper cites Huang, X.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Huang, X

Reference 43

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Source-reported events for the cited work

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Observation 79fbf157-4320-492f-87ce-10c9c6aeda7a · outbound

This paper cites Kristan, A.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Kristan, A

Reference 44

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Source-reported events for the cited work

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Observation 188d054b-7a0c-43f9-881f-2ee26c4c7f78 · outbound

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Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 45

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Source-reported events for the cited work

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Observation 99b2ad0a-9a00-4bd3-a79a-6015136cbe84 · outbound

This paper cites an unresolved cited work.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 46

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Source-reported events for the cited work

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Observation 23bc5d3e-8068-495e-8981-a05629556052 · outbound

This paper cites an unresolved cited work.

Towards Effective and Efficient Adversarial Defense with Diffusion Models for Robust Visual Tracking Unresolved cited work

Reference 47

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

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