Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.20971.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:45:19.874843Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T06:57:27.641651Z
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 57182d32-2e19-49b4-877b-c1224bc9b848 · 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 BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
Reference 131
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:45:19.874843Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 704c3b50-ed54-4bfa-821b-53c6d7106ce8 · 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 BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:22:03.045502Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a09b9c7c-a99c-4223-8237-a7818a11bf2e · inbound
Bootstrapping LLM Robustness for VLM Safety via Reducing the Pretraining Modality Gap cites this paper.
Bootstrapping LLM Robustness for VLM Safety via Reducing the Pretraining Modality Gap BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:37:22.581493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0c902b7-679a-42aa-80f4-150894369162 · inbound
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.
Empowering Multimodal LLMs with External Tools: A Comprehensive Survey BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
Reference 245
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:29:07.756658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f846cbe-7557-4901-ad49-583d9f8659ba · inbound
SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models cites this paper.
SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:57:27.644905Z
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.