Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.09096.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:46:40.713387Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T21:36:52.404748Z
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 e011b566-0d7c-43dd-bbdf-ed6e6ad276b1 · inbound
VLM-Guard: Safeguarding Vision-Language Models via Fulfilling Safety Alignment Gap cites this paper.
VLM-Guard: Safeguarding Vision-Language Models via Fulfilling Safety Alignment Gap Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:46:40.713387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e9e1492-e9a2-44d4-bf15-8c4e4266a8c3 · inbound
Towards an AI co-scientist cites this paper.
Towards an AI co-scientist Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:02:44.272813Z
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 d7d80884-9021-4501-b489-581405fd11f5 · inbound
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques cites this paper.
Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:24:29.495638Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9d93443-48d4-44b2-a70e-26cad4fef8f2 · inbound
A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection cites this paper.
A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:24:23.400378Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b7a8093-461b-4ecc-ba4e-569bd2e286d8 · inbound
GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs cites this paper.
GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T21:36:52.409545Z
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.