Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.13220.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T15:38:17.526542Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:18:56.611300Z
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 4e666fef-e9e3-4a2d-96be-6d1b2539cf5e · inbound
When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs cites this paper.
When Data Manipulation Meets Attack Goals: An In-depth Survey of Attacks for VLMs How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Reference 118
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:38:17.526542Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bcdc9fe-4bdc-489f-acd1-84285b85b3ee · inbound
EgoTrigger: Toward Audio-Driven Image Capture for Human Memory Enhancement in All-Day Energy-Efficient Smart Glasses cites this paper.
EgoTrigger: Toward Audio-Driven Image Capture for Human Memory Enhancement in All-Day Energy-Efficient Smart Glasses How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:24:14.494907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd753afd-ec0b-4db6-ad30-ce52cf740ecd · inbound
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:28:47.627486Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b6035dad-8d9a-46f5-901b-c2c4aaf6c4fc · inbound
Exploring and Mitigating Fawning Hallucinations in Large Language Models cites this paper.
Exploring and Mitigating Fawning Hallucinations in Large Language Models How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:11:15.327583Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 630c0da0-5cb8-4d2e-86ce-ab3bc5dd05b5 · inbound
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs cites this paper.
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T19:54:20.314943Z
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 1e27e445-c6c6-433f-ae16-f9e9b537ec28 · inbound
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs cites this paper.
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T21:44:01.397444Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 789829ae-2bbd-4080-ad4c-51a8b11cf0a2 · inbound
MLLMs Get It Right, Then Get It Wrong: Tracing and Correcting Late-Layer Textual Bias cites this paper.
MLLMs Get It Right, Then Get It Wrong: Tracing and Correcting Late-Layer Textual Bias How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T20:18:56.613130Z
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.