Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Red Teaming Visual Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.12915.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:45:20.030468Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T02:56:41.885926Z
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 948585ee-344b-4146-8fab-1093bb326ac1 · inbound
A Survey on Multimodal Large Language Models cites this paper.
A Survey on Multimodal Large Language Models Red Teaming Visual Language Models
Reference 136
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T02:56:41.889910Z
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 d2de108f-9a8a-43ea-ae62-aa7cdd53a81b · inbound
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone cites this paper.
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone Red Teaming Visual Language Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T20:19:27.366602Z
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 6c7b39fa-091e-4f51-8c1b-4c81bdd9c969 · inbound
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment cites this paper.
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Red Teaming Visual Language Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T18:23:50.078954Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3925400b-eec4-47fe-84ba-6cfff8fdc355 · 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 Visual Language Models
Reference 158
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:45:20.030468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aab323ed-6852-4e11-8995-334ee85bf04c · inbound
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs cites this paper.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Red Teaming Visual Language Models
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:22:28.068521Z
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 9e82d4df-4156-413d-8cb6-c20e668115c6 · inbound
MLA-Trust: Benchmarking Trustworthiness of Multimodal LLM Agents in GUI Environments cites this paper.
MLA-Trust: Benchmarking Trustworthiness of Multimodal LLM Agents in GUI Environments Red Teaming Visual Language Models
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:42:33.455009Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6c3f2bb-6f94-4c4c-9ce0-9d04a072b29f · inbound
Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation cites this paper.
Watch, Listen, Understand, Mislead: Tri-modal Adversarial Attacks on Short Videos for Content Appropriateness Evaluation Red Teaming Visual Language Models
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:09:22.747756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.