Paper Citation Record · LEDGER

Imperceptible Adversarial Examples in the Physical World

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:2411.16622.

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

pith.paper-citation-record.v1
2411.16622 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:01:00.911081Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:10:42.075379Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

verified exact0
verified fuzzy29
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9db6666d-54f4-4345-995f-56924c0af338 · outbound

This paper cites Obfus- cated gradients give a false sense of security: Circumventing defenses to adversarial examples.

Imperceptible Adversarial Examples in the Physical World Obfus- cated gradients give a false sense of security: Circumventing defenses to adversarial examples

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.964967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b49d000d-404d-470e-a73f-c3d63c5c7078 · outbound

This paper cites Synthesizing robust adversarial examples.

Imperceptible Adversarial Examples in the Physical World Synthesizing robust adversarial examples

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.947300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cf6bf55e-984b-4488-ba9d-890092252323 · outbound

This paper cites Digital color halftoning.

Imperceptible Adversarial Examples in the Physical World Digital color halftoning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.927794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 737add64-df39-46af-8b4b-3a01a7c5a1b5 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Imperceptible Adversarial Examples in the Physical World Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T13:01:00.721447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90159e4d-5bf9-4ef6-985f-00227f2a9329 · outbound

This paper cites Tide: A general toolbox for identifying object detection er- rors.

Imperceptible Adversarial Examples in the Physical World Tide: A general toolbox for identifying object detection er- rors

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.910417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9533c53a-77de-4163-b0de-60d7edc3a513 · outbound

This paper cites Apricot: A dataset of physical adversarial attacks on object detection.

Imperceptible Adversarial Examples in the Physical World Apricot: A dataset of physical adversarial attacks on object detection

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.890880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b9910964-47e6-4a6d-9211-4e916e620a27 · outbound

This paper cites Re- configuring the imaging pipeline for computer vision.

Imperceptible Adversarial Examples in the Physical World Re- configuring the imaging pipeline for computer vision

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.873130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dff1fc5c-e63a-48a0-b3ed-878c70d41705 · outbound

This paper cites Towards evaluating the robustness of neural networks.

Imperceptible Adversarial Examples in the Physical World Towards evaluating the robustness of neural networks

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.854540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8e6f414c-794f-465c-b654-987dda379b74 · outbound

This paper cites On Evaluating Adversarial Robustness.

Imperceptible Adversarial Examples in the Physical World On Evaluating Adversarial Robustness

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T13:01:00.747229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14acfe0e-b925-42c5-894c-b6b8591ae5a5 · outbound

This paper cites Are aligned neural networks adversarially aligned? Advances in Neural Information Processing Systems, 36, 2024.

Imperceptible Adversarial Examples in the Physical World Are aligned neural networks adversarially aligned? Advances in Neural Information Processing Systems, 36, 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.837548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 871aeed0-fd18-4898-a349-56e00e175959 · outbound

This paper cites Shapeshifter: Robust physical adversar- ial attack on faster r-cnn object detector.

Imperceptible Adversarial Examples in the Physical World Shapeshifter: Robust physical adversar- ial attack on faster r-cnn object detector

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.819334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f5194775-c65c-4c2d-a2c1-f05b76ed2a26 · outbound

This paper cites Certified adversarial robustness via randomized smoothing.

Imperceptible Adversarial Examples in the Physical World Certified adversarial robustness via randomized smoothing

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.801370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation baf00dec-7d19-4cfe-bbd2-cfbf83bdb517 · outbound

This paper cites Oscar datagen toolkit.

Imperceptible Adversarial Examples in the Physical World Oscar datagen toolkit

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.783318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e0bb7069-1476-4b5d-bbfa-876d228fc9c3 · outbound

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

Imperceptible Adversarial Examples in the Physical World Reliable evalua- tion of adversarial robustness with an ensemble of diverse parameter-free attacks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.765628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 72d51e1a-7a13-401a-9e64-703d3eacf9a9 · outbound

This paper cites Guaranteeing AI Robustness Against Deception (GARD).

Imperceptible Adversarial Examples in the Physical World Guaranteeing AI Robustness Against Deception (GARD)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.747348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 64a1f403-e1dd-443c-8db7-59ebda92827f · outbound

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

Imperceptible Adversarial Examples in the Physical World Imagenet: A large-scale hierarchical image database

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T13:01:00.782140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51657c17-d621-400d-a556-a4894199922b · outbound

This paper cites Deep learning-based autonomous driving systems: A survey of attacks and defenses.

Imperceptible Adversarial Examples in the Physical World Deep learning-based autonomous driving systems: A survey of attacks and defenses

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.717577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8d25c2e2-c4f3-473f-8389-5321a59750bb · outbound

This paper cites Carla: An open urban driv- ing simulator.

Imperceptible Adversarial Examples in the Physical World Carla: An open urban driv- ing simulator

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T13:01:00.792422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5669159-146b-46ad-a20c-84198b7df5e2 · outbound

This paper cites Unreal Engine.

Imperceptible Adversarial Examples in the Physical World Unreal Engine

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.685320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0a364b3d-d3aa-48a2-ab90-c71eace7e304 · outbound

This paper cites Black Hat AI Track Submissions: Obser- vations and Feedback.

Imperceptible Adversarial Examples in the Physical World Black Hat AI Track Submissions: Obser- vations and Feedback

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.667751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 92e01465-a16b-4c85-8c75-cecfce5ad33e · outbound

This paper cites Connecting the digital and phys- ical world: Improving the robustness of adversarial attacks.

Imperceptible Adversarial Examples in the Physical World Connecting the digital and phys- ical world: Improving the robustness of adversarial attacks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.649444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 061ad958-0555-439b-b049-10a40c8f7c95 · outbound

This paper cites Detecting physical adversarial patch attacks with object detectors.

Imperceptible Adversarial Examples in the Physical World Detecting physical adversarial patch attacks with object detectors

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.631721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 29ce29c9-01bb-4dec-9880-5bc8b6ee9b97 · outbound

This paper cites Differentiable Rendering: A Survey.

Imperceptible Adversarial Examples in the Physical World Differentiable Rendering: A Survey

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T13:01:00.816295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dacbbf5-5a31-48ce-b413-c82fcec638d6 · outbound

This paper cites Ad- versarial examples in the physical world.

Imperceptible Adversarial Examples in the Physical World Ad- versarial examples in the physical world

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.614327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8c7a7c5d-cea4-4292-8a68-62c361c1d7c2 · outbound

This paper cites We can always catch you: Detecting adversarial patched objects with or without signature.

Imperceptible Adversarial Examples in the Physical World We can always catch you: Detecting adversarial patched objects with or without signature

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T13:01:00.827651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcf0f00c-8ed8-488c-9206-10d947063900 · outbound

This paper cites Microsoft coco: Common objects in context.

Imperceptible Adversarial Examples in the Physical World Microsoft coco: Common objects in context

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T13:01:00.833081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5323c0e3-2cd7-4dc4-9707-fb1f3b50ea8e · outbound

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

Imperceptible Adversarial Examples in the Physical World Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T13:01:00.837782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed2761aa-4b14-4e62-8455-aa9216e52c7a · outbound

This paper cites Hardware-in- the-loop end-to-end optimization of camera image process- ing pipelines.

Imperceptible Adversarial Examples in the Physical World Hardware-in- the-loop end-to-end optimization of camera image process- ing pipelines

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.583624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 96056e22-1bb8-43cd-a67c-bcef1323ade2 · outbound

This paper cites Pytorch: An im- perative style, high-performance deep learning library.

Imperceptible Adversarial Examples in the Physical World Pytorch: An im- perative style, high-performance deep learning library

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T13:01:00.847975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5d44a53-9ac0-441b-a5f9-98b69d4a165d · outbound

This paper cites Accelerating 3D Deep Learning with PyTorch3D.

Imperceptible Adversarial Examples in the Physical World Accelerating 3D Deep Learning with PyTorch3D

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T13:01:00.852411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07eb400c-baa4-4d33-82fc-8749d42271b4 · outbound

This paper cites A survey on deep learning-based real-time crowd anomaly detection for secure distributed video surveillance.

Imperceptible Adversarial Examples in the Physical World A survey on deep learning-based real-time crowd anomaly detection for secure distributed video surveillance

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.556918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 79f99334-85ca-4592-b250-6c734030e684 · outbound

This paper cites Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition.

Imperceptible Adversarial Examples in the Physical World Accessorize to a crime: Real and stealthy attacks on state-of-the-art face recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.540041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c0e7102b-51f3-49f5-8352-feede508ce89 · outbound

This paper cites armory, 2023.

Imperceptible Adversarial Examples in the Physical World armory, 2023

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.522990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 38ff3393-d57b-401b-9ae0-cd1b5b3a64b7 · outbound

This paper cites Dta: Physical camouflage attacks using differentiable transforma- tion network.

Imperceptible Adversarial Examples in the Physical World Dta: Physical camouflage attacks using differentiable transforma- tion network

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.503835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 235d32e2-4f95-4167-ba0a-3b400c87b5f8 · outbound

This paper cites Intriguing properties of neural networks.

Imperceptible Adversarial Examples in the Physical World Intriguing properties of neural networks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T13:01:00.877025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2301187c-310c-441a-be72-61cb6208be66 · outbound

This paper cites Adversarial Patch Attack against CARLA Object Detection.

Imperceptible Adversarial Examples in the Physical World Adversarial Patch Attack against CARLA Object Detection

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.486060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 683bbd2a-7c1d-4160-9186-a2890d387d51 · outbound

This paper cites CARLA Object Detection Model Weights for GARD Eval7.

Imperceptible Adversarial Examples in the Physical World CARLA Object Detection Model Weights for GARD Eval7

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.468824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 93820b14-3dff-4cf1-8c89-4d6c56bf1c3f · outbound

This paper cites Detection of ArUco Markers.

Imperceptible Adversarial Examples in the Physical World Detection of ArUco Markers

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.450890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 801f6700-44f0-4836-b7fc-98fac9ee2278 · outbound

This paper cites PyTorch Perspective Transforma- tion API.

Imperceptible Adversarial Examples in the Physical World PyTorch Perspective Transforma- tion API

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.432927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 159c3684-91f8-43a6-aab1-f5c6b08694d1 · outbound

This paper cites Making an invisibility cloak: Real world adversar- ial attacks on object detectors.

Imperceptible Adversarial Examples in the Physical World Making an invisibility cloak: Real world adversar- ial attacks on object detectors

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T13:01:00.901125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 409c3cff-6ec9-403a-b293-a961622516a7 · outbound

This paper cites Modular ad- versarial robustness toolkit.

Imperceptible Adversarial Examples in the Physical World Modular ad- versarial robustness toolkit

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:01:01.401196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5588c4ce-b9ba-4df7-a89e-dc7761008981 · outbound

This paper cites RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation.

Imperceptible Adversarial Examples in the Physical World RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T13:01:00.911081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation fc0337ab-0e41-4330-acf8-1b287d45c42e · inbound

UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks cites this paper.

UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks Imperceptible Adversarial Examples in the Physical World

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T09:10:42.075379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdcd07f9-f9b2-4c8e-92cd-ad13bbaf89b2 · inbound

ALLUDE: A Unified Evaluation System for Configurable Attacks in Differentiable Environments cites this paper.

ALLUDE: A Unified Evaluation System for Configurable Attacks in Differentiable Environments Imperceptible Adversarial Examples in the Physical World

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T19:10:43.176904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.