Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.07353.
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 2026-08-08T15:38:17.510011Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T02:06:27.571754Z
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 d39fb8f3-1e45-4dc2-aee4-bd653cc12e58 · 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 Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
Reference 114
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:38:17.510011Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ec94ade7-be04-4118-b8bf-7077c790eece · 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 Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
Reference 152
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:45:19.994347Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b762686-c1fb-4fde-b376-457f71a46112 · inbound
Diffusion-based Cumulative Adversarial Purification for Vision Language Models cites this paper.
Diffusion-based Cumulative Adversarial Purification for Vision Language Models Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:59:16.106884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40a1995e-ac82-4e79-8dfe-e86f37f1c55f · inbound
Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding cites this paper.
Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:54:42.969519Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed725f78-e908-409c-a281-24b41f66e55b · inbound
Investigating Adversarial Robustness of Multi-modal Large Language Models cites this paper.
Investigating Adversarial Robustness of Multi-modal Large Language Models Securing Vision-Language Models with a Robust Encoder Against Jailbreak and Adversarial Attacks
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:06:27.573871Z
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.