Paper Citation Record · LEDGER

Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.03411.

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

pith.paper-citation-record.v1
2404.03411 v2

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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:48:29.452721Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fc7f01bc-1a5c-450a-86fa-51474d248c7d · inbound

Global Challenge for Safe and Secure LLMs Track 1 cites this paper.

Global Challenge for Safe and Secure LLMs Track 1 Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T15:48:29.452721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5e69a51-2240-4042-b250-467e22a74bb8 · inbound

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations cites this paper.

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?

Reference 159

Resolution: unresolved; no resolver link, observed 2026-08-07T19:45:20.035869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e1da9f4-77e4-41cd-91c5-c7f217020c0d · inbound

MLingualFC: Evaluating Jailbreak Vulnerabilities in Multilingual Vision-Language Models cites this paper.

MLingualFC: Evaluating Jailbreak Vulnerabilities in Multilingual Vision-Language Models Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-27T21:51:18.172904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1f1ffa48-b84f-4497-bc48-e4c137d8c0fe · inbound

MLingualFC: Evaluating Jailbreak Vulnerabilities in Multilingual Vision-Language Models cites this paper.

MLingualFC: Evaluating Jailbreak Vulnerabilities in Multilingual Vision-Language Models Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?

Reference 107

Resolution: verified exact; arxiv_id, observed 2026-07-02T18:57:16.797982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.