Paper Citation Record · LEDGER

Image-to-Text Logic Jailbreak: Your Imagination can Help You Do Anything

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.02534.

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

pith.paper-citation-record.v1
2407.02534 v2

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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:24:15.244128Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T20:19:27.896163Z

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 7058a6e1-0767-40ca-8998-cc4282e06ade · 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 Image-to-Text Logic Jailbreak: Your Imagination can Help You Do Anything

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-07T19:45:19.484120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 223155c9-a9f7-4614-b43b-90df379ffc4a · inbound

Seeing the Threat: Vulnerabilities in Vision-Language Models to Adversarial Attack cites this paper.

Seeing the Threat: Vulnerabilities in Vision-Language Models to Adversarial Attack Image-to-Text Logic Jailbreak: Your Imagination can Help You Do Anything

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:03.315478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0024650-7ad0-4508-a86d-5dbcf78b2427 · inbound

On Surjectivity of Neural Networks: Can you elicit any behavior from your model? cites this paper.

On Surjectivity of Neural Networks: Can you elicit any behavior from your model? Image-to-Text Logic Jailbreak: Your Imagination can Help You Do Anything

Reference 118

Resolution: unresolved; no resolver link, observed 2026-08-05T16:00:52.381431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe85ebd3-7998-47df-95b8-25447fd407f9 · 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 Image-to-Text Logic Jailbreak: Your Imagination can Help You Do Anything

Reference 252

Resolution: unresolved; no resolver link, observed 2026-08-04T09:25:58.945485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1424f426-01c6-4b5f-a86e-86ca8e90c88f · inbound

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning cites this paper.

Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning Image-to-Text Logic Jailbreak: Your Imagination can Help You Do Anything

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:19:27.901938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cc38e843-21cf-425b-b681-5a0dd90ca637 · inbound

MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration cites this paper.

MMAligner: Safeguarding Multimodal Large Language Models through Representation Calibration Image-to-Text Logic Jailbreak: Your Imagination can Help You Do Anything

Reference 73

Resolution: malformed identifier; no resolver link, observed 2026-08-07T21:24:15.244128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.