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Paper Citation Record · LEDGER

Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.20775.

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

pith.paper-citation-record.v1
2405.20775 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:56:44.606362Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T10:57:16.495777Z

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 b7694e3a-f195-4343-a965-0f5124205a07 · inbound

Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine cites this paper.

Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T16:56:44.606362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:56:44.606362Z digest=sha256:e649f87a84e6b61990c4b52cedeea5f0fe991a43f9818fcae0243bc50ed71440

Observation 624dd298-9cd1-4e9c-8c5a-d51fef1fa002 · inbound

Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment cites this paper.

Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T12:11:03.449955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:11:03.449955Z digest=sha256:ee0c0af62e563479352e20e012fa487e336c4c4941e63b055e4b2d42651e4a0e

Observation 97568d93-7155-45f1-9261-bc4c2cd10dc1 · inbound

Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations cites this paper.

Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations Medical MLLM is Vulnerable: Cross-Modality Jailbreak and Mismatched Attacks on Medical Multimodal Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:57:16.497842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T10:54:55.262180Z digest=sha256:b2402d70b720fe735aff5ddf4037224073164022bbdba3043b5067e287a53189