Paper Citation Record · LEDGER

The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.08410.

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

pith.paper-citation-record.v1
2411.08410 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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:45:19.069073Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-23T20:58:26.217531Z

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 fadbe50f-fa67-4b90-980f-4779dfbe4c43 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.220359Z

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 b203b1e8-2def-4037-b255-75603495a01a · 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 The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T19:45:19.069073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6238b638-3e4c-4bf3-beb4-1af93b5b1163 · inbound

Seeing the Threat: Vulnerabilities in Vision-Language Models to Adversarial Attack cites this paper.

Seeing the Threat: Vulnerabilities in Vision-Language Models to Adversarial Attack The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:22:01.083283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9266238-cdb5-4028-8db9-a8b02f5be4f2 · inbound

Mitigating Object Hallucination via Robust Local Perception Search cites this paper.

Mitigating Object Hallucination via Robust Local Perception Search The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:53:59.867495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9638a436-a417-4c85-8988-bdbaa52ec948 · inbound

Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security cites this paper.

Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T12:09:39.684858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9adf6efa-39f9-4f04-a303-024b5adda4f7 · inbound

VERA-V: Variational Inference Framework for Jailbreaking Vision-Language Models cites this paper.

VERA-V: Variational Inference Framework for Jailbreaking Vision-Language Models The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T09:02:37.531373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.