Paper Citation Record · LEDGER

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2501.07922.

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

pith.paper-citation-record.v1
2501.07922 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:36:46.951787Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:32:54.312332Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T04:32:54.607680Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy34
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5230f1e-e72d-4ce3-b8df-600c4727888b · outbound

This paper cites Unrestricted Adversarial Examples.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Unrestricted Adversarial Examples

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T20:36:46.747780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be7bba55-c1af-4a61-8399-a12a34f03e84 · outbound

This paper cites an unresolved cited work.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:36:47.658983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a465f871-5c8e-4009-a112-b7b4584ee49d · outbound

This paper cites Diffusion models for imperceptible and transferable adversarial attack.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Diffusion models for imperceptible and transferable adversarial attack

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.639854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation af644424-a4df-431f-a0fe-d4ccca87c2b8 · outbound

This paper cites Advdiffuser: Natural adversarial example synthesis with diffusion models.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Advdiffuser: Natural adversarial example synthesis with diffusion models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.623051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 27c6dfa5-018d-4f2d-b62c-0a9f15505ef8 · outbound

This paper cites Certi- fied adversarial robustness via randomized smoothing.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Certi- fied adversarial robustness via randomized smoothing

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.606423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e0237af-7912-405a-a95c-72675d693779 · outbound

This paper cites Reliable evalua- tion of adversarial robustness with an ensemble of di- verse parameter-free attacks.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Reliable evalua- tion of adversarial robustness with an ensemble of di- verse parameter-free attacks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.589270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36d24f8d-4089-4c9a-a181-bbc75007d05f · outbound

This paper cites Advdiff: Generating unrestricted adversarial examples using dif- fusion models.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Advdiff: Generating unrestricted adversarial examples using dif- fusion models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.571305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b89771e2-697c-4321-b87d-cb5cbe0c5ab0 · outbound

This paper cites Imagenet: A large-scale hierarchical im- age database.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Imagenet: A large-scale hierarchical im- age database

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:36:46.787243Z

Source-reported events for the cited work

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Observation 4885ac86-9bcd-4fed-a5ba-430237655588 · outbound

This paper cites Diffusion models beat gans on image synthesis.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Diffusion models beat gans on image synthesis

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.539599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e6b8fa6b-016a-4a5f-a5f7-39dda9e63b16 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models An image is worth 16x16 words: Transformers for image recognition at scale

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.522669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ce2a762b-1e69-4ebb-922f-4e33cf2018bf · outbound

This paper cites Robustness (python library), 2019.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Robustness (python library), 2019

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.505390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 26abedc7-84a7-4093-a014-4bc7aa6ac71f · outbound

This paper cites Wichmann, and Wieland Brendel.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Wichmann, and Wieland Brendel

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.485068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2982c6ae-07f7-4b2c-b6fa-683e46b972cb · outbound

This paper cites No-reference image quality assessment via transformers, relative ranking, and self-consistency.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models No-reference image quality assessment via transformers, relative ranking, and self-consistency

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.468153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 618b256c-0750-4a91-af20-ccecbb3109f0 · outbound

This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Goodfellow, Jonathon Shlens, and Christian Szegedy

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.451278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba80a24a-1c57-41f1-9acb-708aa0b24841 · outbound

This paper cites Zhang, Shaoqing Ren, and Jian Sun.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Zhang, Shaoqing Ren, and Jian Sun

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.432412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e2712a1-7f7f-4666-8b42-67a098e3225c · outbound

This paper cites Natural adversarial examples.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Natural adversarial examples

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.414387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a02d99cf-b7d1-43d4-adc9-c60eb8564c56 · outbound

This paper cites CLIPScore: A reference-free evaluation metric for image captioning.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models CLIPScore: A reference-free evaluation metric for image captioning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.396988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 97ef94a0-c277-42e0-88c0-d7a75f376876 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.379718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 84abc1ca-d7ea-4608-a09e-528dfe65707a · outbound

This paper cites Denois- ing diffusion probabilistic models.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Denois- ing diffusion probabilistic models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.363443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a23fbd1c-6e29-48a5-aaa2-ed2049efe7aa · outbound

This paper cites Adversarial texture for fooling person detectors in the physical world.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Adversarial texture for fooling person detectors in the physical world

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.330919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2beea399-7aea-425c-8db7-60cf086ac55d · outbound

This paper cites SD-NAE: Generating natural adversarial examples with stable diffusion.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models SD-NAE: Generating natural adversarial examples with stable diffusion

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.311433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 923ca728-bc28-40b0-a8d0-01dbc5ff9650 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Towards deep learning models resistant to adversarial attacks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.295296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2b365e1-834f-4214-a2ff-f960d7f7b14d · outbound

This paper cites Balasubramanian.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Balasubramanian

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.278731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 056f95dc-f2b6-4ef6-b659-054d93a5c3c3 · outbound

This paper cites Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:36:46.877901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35938786-6a91-4b9b-83ce-34db7cf1867d · outbound

This paper cites A self-supervised approach for adversarial robustness.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models A self-supervised approach for adversarial robustness

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.262203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c5b8ffb4-ff99-44c3-9ef5-432f89aa6175 · outbound

This paper cites Diffusion mod- els for adversarial purification.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Diffusion mod- els for adversarial purification

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.245686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ff6cd52-53a4-4339-b553-7c2c0e813f5d · outbound

This paper cites Blattmann, Dominik Lorenz, Patrick Esser, and Bj ¨orn Ommer.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Blattmann, Dominik Lorenz, Patrick Esser, and Bj ¨orn Ommer

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.229614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76e5c459-28e8-4f6b-a75f-f2657cfe4db2 · outbound

This paper cites Improved techniques for training gans.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Improved techniques for training gans

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.212982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fab05747-bb40-46c0-9772-fcc7859edf91 · outbound

This paper cites De- noising diffusion implicit models.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models De- noising diffusion implicit models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.196950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 24ec48fb-9609-4648-ac5c-8ba8b04367f8 · outbound

This paper cites Constructing unrestricted adversarial examples with gen- erative models.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Constructing unrestricted adversarial examples with gen- erative models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.179690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c54b86c7-e530-4257-b307-f90b645cc954 · outbound

This paper cites Goodfellow, and Rob Fergus.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Goodfellow, and Rob Fergus

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.161699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 62f159c3-eadb-4db2-b164-9b224a4171b9 · outbound

This paper cites Rethinking the inception architecture for computer vision.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Rethinking the inception architecture for computer vision

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.143804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7432e4e3-840d-4f8f-931f-9a7fc9256061 · outbound

This paper cites Mea- suring robustness to natural distribution shifts in image classification.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Mea- suring robustness to natural distribution shifts in image classification

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.125499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e608d253-09b5-4b3f-98ea-e1f1cdff6351 · outbound

This paper cites Mlp-mixer: an all- mlp architecture for vision.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Mlp-mixer: an all- mlp architecture for vision

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.106326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c3de2a82-afbc-4fa7-b9d8-2105e1736257 · outbound

This paper cites Bovik, H.R.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Bovik, H.R

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.089562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b57d7cff-4f8a-422c-8490-87e01d634649 · outbound

This paper cites Generating adversarial examples with adversarial networks.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Generating adversarial examples with adversarial networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.071204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3222f413-356a-45a6-9c1d-14e8f70a1dea · outbound

This paper cites Efros, Eli Shechtman, and Oliver Wang.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Efros, Eli Shechtman, and Oliver Wang

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.052939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 479e38d4-513b-4450-b0e6-40b74ec715a4 · outbound

This paper cites Generat- ing natural adversarial examples.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Generat- ing natural adversarial examples

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:36:47.034536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b7330c6-a7fc-46de-8043-454abbae719c · outbound

This paper cites an unresolved cited work.

VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models Unresolved cited work

Reference 2020

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:36:47.346876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 97c5257e-bbbb-4d5e-bacd-d3ee1fa67841 · inbound

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

IDATA: Scalable Invertible Diffusion for Unrestricted Adversarial Transfer Attack VENOM: Text-driven Unrestricted Adversarial Example Generation with Diffusion Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:32:54.613127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.