Paper Citation Record · LEDGER

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling

As of 18 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2412.05943.

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

pith.paper-citation-record.v1
2412.05943 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:15:05.811377Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

33 of 33 outbound references displayed

verified exact1
verified fuzzy16
unresolved15
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ccbc1e16-94d3-4763-ae43-f3399d9ee73c · outbound

This paper cites Biggio, I.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Biggio, I

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.256273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7be3103d-2347-4bc9-85d4-6f0b7c704a93 · outbound

This paper cites Chapelle, B.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Chapelle, B

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.248054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54c11069-0c01-4d0d-957f-1365584cf44c · outbound

This paper cites Dabov, A.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Dabov, A

Reference 3

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Source-reported events for the cited work

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Observation bec0e903-157b-4d57-bb16-81290d55642c · outbound

This paper cites an unresolved cited work.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:15:06.239514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a8c49e6-2d10-4e78-b672-2e0e5c2d3634 · outbound

This paper cites F awzi, H.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling F awzi, H

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.231039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 69934d6f-84f3-4275-a4a7-dbf2efa14891 · outbound

This paper cites Gilmer, N.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Gilmer, N

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.222814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba1cb3a4-87ff-4fa9-86dc-17c40c316b34 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Explaining and Harnessing Adversarial Examples

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T20:15:05.732763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21cf7ac6-3280-4113-8e8c-0b0b07eddd8e · outbound

This paper cites an unresolved cited work.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:15:06.214326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c0a8271d-b8e5-43c6-a55f-8f782477d643 · outbound

This paper cites Adversarial Machine Learning at Scale.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Adversarial Machine Learning at Scale

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T20:15:05.739116Z

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Observation a010fec1-b593-4f47-8f32-486ed8017841 · outbound

This paper cites Liang, J.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Liang, J

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.206331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4634f378-7425-46f2-bc2f-eb1cc389333e · outbound

This paper cites Lysaker, A.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Lysaker, A

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.198381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7f3776ef-32dc-4069-9cbb-cf3a7bc9ef2c · outbound

This paper cites Mahloujifar, D.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Mahloujifar, D

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.190966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 32126498-2721-4a36-afc6-8c8cacec522d · outbound

This paper cites an unresolved cited work.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:15:06.183312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 22811679-14a0-4881-8878-e547a2ec91aa · outbound

This paper cites Mkadry, A.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Mkadry, A

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.175108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1b9fd722-ad62-4569-9201-6440f9bdf454 · outbound

This paper cites an unresolved cited work.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:15:06.166802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3c04a673-fc43-45e4-a31d-765651f49c1e · outbound

This paper cites Nguyen, J.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Nguyen, J

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.158196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2a121848-25e5-4ae8-b9d3-c2ec04545d43 · outbound

This paper cites Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:15:05.960882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 758f96d6-7017-432f-b288-e0964b5dc956 · outbound

This paper cites Perona and J.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Perona and J

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.149901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 36b3d000-c580-4a5f-8a64-524eb397b9b2 · outbound

This paper cites Rajwade, A.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Rajwade, A

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.141644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e013a698-3a57-41fc-994f-b14e8a771175 · outbound

This paper cites an unresolved cited work.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:15:06.132642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c7d8e1fd-8185-46df-b14b-6a12eef4b42a · outbound

This paper cites an unresolved cited work.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:15:06.122696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 25c5fc81-96ba-4859-b670-5a5f243556bd · outbound

This paper cites Salamat, M.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Salamat, M

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.114931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 505e5967-6d21-4030-9e21-f0c549451783 · outbound

This paper cites Are adversarial examples inevitable?.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Are adversarial examples inevitable?

Reference 23

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Source-reported events for the cited work

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Observation ab17d911-8b72-4e29-8eb6-c5efb517c64d · outbound

This paper cites an unresolved cited work.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:15:06.106080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5ab05ee-c19f-42a4-bf59-eff9045a2558 · outbound

This paper cites Intriguing properties of neural networks.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Intriguing properties of neural networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T20:15:05.788776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 728fe460-41bb-4bf3-a1ce-28cd20092c71 · outbound

This paper cites Thomas and A.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Thomas and A

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.098247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ad8d16aa-f9b2-4a53-bb32-f0af78a8cde0 · outbound

This paper cites an unresolved cited work.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:15:06.089739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 03d4f38c-a113-4926-a483-6dd06895346e · outbound

This paper cites an unresolved cited work.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:15:06.079901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0a0bf813-6939-45ca-9a17-27f320e8b82e · outbound

This paper cites an unresolved cited work.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:15:06.070744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0d956d2a-9cbd-46e2-ad45-46c6937d43ae · outbound

This paper cites Zhang, Y.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Zhang, Y

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.061923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 43716b75-3241-441e-8fb0-aba66316a2be · outbound

This paper cites Zhang, W.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Zhang, W

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.053274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 457b3588-c154-421f-85a6-f3c05d1f476a · outbound

This paper cites Zhang, J.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Zhang, J

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:15:06.044437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 555dafcc-679b-4a00-afa6-3ea0b59d3e60 · outbound

This paper cites Zhou and S.

Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling Zhou and S

Reference 33

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T20:15:05.930432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.