Paper Citation Record · LEDGER

Towards Robust Physical-world Backdoor Attacks on Lane Detection

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.05553.

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

pith.paper-citation-record.v1
2405.05553 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:46:49.712361Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T00:25:48.527046Z

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 36a4f1ca-24dc-409b-8d98-8fa90def4974 · inbound

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving cites this paper.

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving Towards Robust Physical-world Backdoor Attacks on Lane Detection

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-23T16:35:42.185270Z

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 1c66c5dc-a060-4ba5-a861-e1689c7e8b7b · inbound

CopyrightShield: Enhancing Diffusion Model Security against Copyright Infringement Attacks cites this paper.

CopyrightShield: Enhancing Diffusion Model Security against Copyright Infringement Attacks Towards Robust Physical-world Backdoor Attacks on Lane Detection

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:03.002617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7c06e9a-ade4-4634-8164-6e5bf71fbe5c · inbound

Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving cites this paper.

Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving Towards Robust Physical-world Backdoor Attacks on Lane Detection

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T22:46:49.712361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 635d9011-ed56-4fa0-9c83-21513e66c517 · inbound

Robust Anti-Backdoor Instruction Tuning in LVLMs cites this paper.

Robust Anti-Backdoor Instruction Tuning in LVLMs Towards Robust Physical-world Backdoor Attacks on Lane Detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:07:37.404099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53f68876-968c-4e4b-9105-c03019e3f982 · inbound

ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks cites this paper.

ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks Towards Robust Physical-world Backdoor Attacks on Lane Detection

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-06T21:05:10.114257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17385217-f8ef-4b80-a6be-95214150c2ee · inbound

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective cites this paper.

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective Towards Robust Physical-world Backdoor Attacks on Lane Detection

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-07-09T00:25:48.528297Z

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.