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Paper Citation Record · LEDGER

Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.14169.

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

pith.paper-citation-record.v1
2405.14169 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:47:40.022814Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:48:32.559590Z

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 ffa708c9-3947-4b29-a55c-9cf780b3067a · inbound

SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments cites this paper.

SceneTAP: Scene-Coherent Typographic Adversarial Planner against Vision-Language Models in Real-World Environments Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T10:48:45.287680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:48:45.287680Z digest=sha256:6fb3aa6c0c33f820ffd56593b17864e2d5033064fd862df7cada99d4761ad504

Observation b53d4a46-af29-4443-96e6-65594143dd34 · inbound

MAGIC: Mastering Physical Adversarial Generation in Context through Collaborative LLM Agents cites this paper.

MAGIC: Mastering Physical Adversarial Generation in Context through Collaborative LLM Agents Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T18:24:49.466815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:24:49.466815Z digest=sha256:f92c67852a78af3a6ffb3f724f9be1aa95b650761574db0876bf640a8653e4d9

Observation 49825eb2-d8e9-4cde-86e1-cd5cf62956d0 · inbound

Defending LVLMs Against Vision Attacks through Partial-Perception Supervision cites this paper.

Defending LVLMs Against Vision Attacks through Partial-Perception Supervision Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T13:52:06.429481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:52:06.429481Z digest=sha256:472cbe5201b7e84f63804f77045429034b63431104e80a7632cd3d500794fa4e

Observation e499f711-78cd-4abb-bdd4-9f2c53d91cb4 · inbound

FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition cites this paper.

FIGhost: Fluorescent Ink-based Stealthy and Flexible Backdoor Attacks on Physical Traffic Sign Recognition Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-15T20:47:40.022814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:47:40.022814Z digest=sha256:212fe82d5b85915d5a81b952af47c9b8c06582b8a67c5b52aaf10732fac76a86

Observation 159e94bb-7fda-47c4-95b0-433bba4b8315 · inbound

Towards Robustness against Typographic Attack with Training-free Concept Localization cites this paper.

Towards Robustness against Typographic Attack with Training-free Concept Localization Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:48:32.560821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-03T14:41:21.582578Z digest=sha256:30f6d2b29563699e6912788fbc92f95e2b867787c0c4b35a0f7cb63cc19767db