Paper Citation Record · LEDGER

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2508.10600.

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

pith.paper-citation-record.v1
2508.10600 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:24:05.985243Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

28 of 28 outbound references displayed

verified exact1
verified fuzzy14
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 627a282b-736e-4efa-95b4-f5324c49656d · outbound

This paper cites Fooling automated surveil- lance cameras: adversarial patches to attack person detection,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Fooling automated surveil- lance cameras: adversarial patches to attack person detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:08.580702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e8078c1-0bcb-4686-88b1-49ba65d6f2a0 · outbound

This paper cites DePatch: Towards Robust Adversarial Patch for Evading Person Detectors in the Real World.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving DePatch: Towards Robust Adversarial Patch for Evading Person Detectors in the Real World

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-05T20:24:06.228311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b5499148-e400-4bf1-972d-79bfcaa6bcb1 · outbound

This paper cites Histograms of oriented gradients for human detection,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Histograms of oriented gradients for human detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:08.452932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7238fb5c-f593-4733-b3f3-55e51a11dbf9 · outbound

This paper cites Full-distance evasion of pedestrian detectors in the physical world,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Full-distance evasion of pedestrian detectors in the physical world,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:08.284515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 79511ce7-0049-4c4e-8d8a-6ffb3deb5838 · outbound

This paper cites Threatening patch attacks on object detection in optical remote sensing images,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Threatening patch attacks on object detection in optical remote sensing images,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:08.130545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 802823f8-dd25-4317-9e75-2bcad1813e7f · outbound

This paper cites Rademacher complexity for adver- sarially robust generalization,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Rademacher complexity for adver- sarially robust generalization,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:07.921327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e9fe4411-901a-40be-9d35-edf652817eec · outbound

This paper cites Yolo9000: better, faster, stronger,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Yolo9000: better, faster, stronger,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T20:24:04.169790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44b5a81f-cc3a-4505-9630-eddc938487fd · outbound

This paper cites YOLOv3: An Incremental Improvement.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving YOLOv3: An Incremental Improvement

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-05T20:24:04.266541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf4d17b-aefd-4947-9fef-655fd63b9bd0 · outbound

This paper cites YOLOv4: Optimal Speed and Accuracy of Object Detection.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving YOLOv4: Optimal Speed and Accuracy of Object Detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T20:24:04.397108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 302ab77d-b9d8-406c-bd22-63f69f50276d · outbound

This paper cites ultralytics/yolov5,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving ultralytics/yolov5,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T20:24:04.506893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bb674a4-faff-4724-b268-5d95d9d834cd · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T20:24:04.618246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2d11e2e-6bb1-4acb-bf12-f7418d69e5a1 · outbound

This paper cites Ssd: Single shot multibox detector,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Ssd: Single shot multibox detector,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T20:24:04.783969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3abbbaf3-7c80-4ce1-8e43-192ae83df3a0 · outbound

This paper cites RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving RT-DETRv2: Improved Baseline with Bag-of-Freebies for Real-Time Detection Transformer

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T20:24:04.905452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4901de3e-4130-4078-a8ab-4e8294459fc4 · outbound

This paper cites Ultralytics yolov8,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Ultralytics yolov8,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T20:24:05.033788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10d46595-149b-4b8d-862d-000543c1049c · outbound

This paper cites Ultralytics yolo11,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Ultralytics yolo11,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T20:24:05.140750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 730fc975-ca50-4e14-8a15-8c0430976856 · outbound

This paper cites Microsoft coco: Common objects in context,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Microsoft coco: Common objects in context,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:07.790834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1d64ff70-ab36-440a-918a-5b67c4b61859 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Are we ready for autonomous driving? the kitti vision benchmark suite,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:07.639662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 96654f45-299d-4b44-a416-0a7cdba0913f · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Bdd100k: A diverse driving dataset for heterogeneous multitask learning,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T20:24:05.276373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 317be875-9eb8-4b92-bb80-7724a66a510e · outbound

This paper cites nuscenes: A multimodal dataset for autonomous driving,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving nuscenes: A multimodal dataset for autonomous driving,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T20:24:05.330901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69eedae1-85d8-4250-8d04-8fb92e42a5e2 · outbound

This paper cites A2D2: Audi Autonomous Driving Dataset.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving A2D2: Audi Autonomous Driving Dataset

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T20:24:05.396520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a39749b0-4704-46ba-b0f4-8c6fb1d01a1d · outbound

This paper cites Making an invisibility cloak: Real world adversarial attacks on object detectors,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Making an invisibility cloak: Real world adversarial attacks on object detectors,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:07.440470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2f9d737-3a97-4393-ae66-3addc2f471c5 · outbound

This paper cites Adversarial tex- ture for fooling person detectors in the physical world,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Adversarial tex- ture for fooling person detectors in the physical world,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:07.275359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f93650b4-97f8-4639-9018-a3830e220574 · outbound

This paper cites Dap: A dynamic adversarial patch for evading person detectors,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Dap: A dynamic adversarial patch for evading person detectors,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:07.135344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 04365d45-07db-47cc-902b-df0f182b120c · outbound

This paper cites Advart: Adversarial art for camouflaged object detection attacks,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Advart: Adversarial art for camouflaged object detection attacks,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:06.915988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4575ab75-414f-407e-8b47-9a044877a91f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Adam: A Method for Stochastic Optimization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T20:24:05.763503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47e97a88-9544-4892-8384-38298895cdb4 · outbound

This paper cites Pad: Patch- agnostic defense against adversarial patch attacks,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Pad: Patch- agnostic defense against adversarial patch attacks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:06.760763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8ae3445a-01f4-4f14-b201-31e2efc7c354 · outbound

This paper cites Napguard: Towards de- tecting naturalistic adversarial patches,.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Napguard: Towards de- tecting naturalistic adversarial patches,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:06.557878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 70519746-839a-4fe7-b2e7-b1a54d0f5695 · outbound

This paper cites Shalev-Shwartz and S.

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving Shalev-Shwartz and S

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:24:06.398926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.