Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2403.09572.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:47:51.264678Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T01:27:30.973754Z
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 1b18a055-dc06-4030-bc22-a9b9747bf208 · inbound
ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving cites this paper.
ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:47:51.264678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63ef78a9-faad-41e7-b098-48561192df80 · inbound
VisInject: Disruption != Injection -- A Dual-Dimension Evaluation of Universal Adversarial Attacks on Vision-Language Models cites this paper.
VisInject: Disruption != Injection -- A Dual-Dimension Evaluation of Universal Adversarial Attacks on Vision-Language Models Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:56:08.027696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 279ec03b-0a0f-4d8e-acbd-334326207cbd · inbound
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges cites this paper.
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation
Reference 87
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T01:27:30.975148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.