Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.04655.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:40:49.586440Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T09:05:35.823602Z
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 03f005d6-e302-40e2-b962-4f21c419ac47 · inbound
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models cites this paper.
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
Reference 97
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T09:05:35.826727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 822854fb-9404-499a-98e9-3e294edda496 · inbound
Coordinated Robustness Evaluation Framework for Vision-Language Models cites this paper.
Coordinated Robustness Evaluation Framework for Vision-Language Models VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:40:49.586440Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5faea211-9aca-45a4-93cb-9df307c7998b · inbound
Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding cites this paper.
Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:54:43.022503Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.