Paper Citation Record · LEDGER

Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.03554.

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

pith.paper-citation-record.v1
2408.03554 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:54:43.102709Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:38:02.924633Z

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 66bdaf77-91db-4f8e-94f4-bc4d9b3abb2d · inbound

Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding cites this paper.

Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T11:54:43.102709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9abbf7f-1f7f-47bf-9ac7-84ff298caac9 · inbound

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses cites this paper.

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-04T09:25:45.204025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95283c95-ff55-4f52-ba7f-13caefec7b44 · inbound

A Systematic Study of Cross-Modal Typographic Attacks on Audio-Visual Reasoning cites this paper.

A Systematic Study of Cross-Modal Typographic Attacks on Audio-Visual Reasoning Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:38:02.926486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fe9fd81b-398b-4ab8-bdf6-1cd6b8431311 · inbound

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks cites this paper.

VLAGuard: A Framework for Evaluating and Mitigating Physical Attention Hijacking in Vision-Language-Action Robots within Wireless Sensor Networks Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T00:41:28.336206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.