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Paper Citation Record · LEDGER

Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.06192.

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

pith.paper-citation-record.v1
2201.06192 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:33:10.827518Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:41:15.768557Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5fab0a44-1617-4e9c-ad78-0a191fb7c375 · inbound

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World cites this paper.

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T20:33:10.827518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:33:10.827518Z digest=sha256:c8d0b93ff514c64784fd4ec864bbf714a8c768122a0984b73f465a01d95e739d

Observation 7dc63a13-2ecc-4cde-8552-7cf2c45019fc · inbound

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator cites this paper.

Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T15:03:12.902733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:03:12.902733Z digest=sha256:ce8915f31614cf1444952a897546a5d7d574ad7a408c47dcef7e56dae4a6da08

Observation aff853be-8243-4adf-9395-cb8381cd066f · inbound

Cross-Modal Phantom: Coordinated Camera-LiDAR Spoofing Against Multi-Sensor Fusion in Autonomous Vehicles cites this paper.

Cross-Modal Phantom: Coordinated Camera-LiDAR Spoofing Against Multi-Sensor Fusion in Autonomous Vehicles Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:41:15.859507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-09T21:17:31.871471Z digest=sha256:f7c891c28186bee445dc54a1ba115ce2a715f21487d24fd4a1b68e4007f21391