Paper Citation Record · LEDGER

How Easy is It to Fool Your Multimodal LLMs? An Empirical Analysis on Deceptive Prompts

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.13220.

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

pith.paper-citation-record.v1
2402.13220 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 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:24:14.494907Z

measured 0 of 1 external citation measurements

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 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.