Paper Citation Record · LEDGER

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2311.09096.

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

pith.paper-citation-record.v1
2311.09096 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:55.339667Z

measured 0 of 1 external citation measurements

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

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verified fuzzy0
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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation eb93d975-2d9f-4fdb-a9c9-cb512f13ed21 · inbound

DYNASHIELD: A Black-Box Moving Target Defense for LLMs via Dynamic Decoding Customization cites this paper.

DYNASHIELD: A Black-Box Moving Target Defense for LLMs via Dynamic Decoding Customization Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T18:41:06.169824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54cc01dd-f2fa-4115-a247-eefec3a3e180 · inbound

Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense cites this paper.

Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:00.175548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34f0c01b-75ba-442b-891f-23955059e5e6 · inbound

Self-Instruct Few-Shot Jailbreaking: Decompose the Attack into Pattern and Behavior Learning cites this paper.

Self-Instruct Few-Shot Jailbreaking: Decompose the Attack into Pattern and Behavior Learning Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T20:35:52.889218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fdf21af-8aae-48c5-856a-df0e5fe56c03 · inbound

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy cites this paper.

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization

Reference 245

Resolution: unresolved; no resolver link, observed 2026-08-10T20:05:12.818195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-20T06:33:59.587034+00:00.

Observation c72befb0-ed0d-48e0-9948-e8042d70e250 · inbound

Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement cites this paper.

Why Not Act on What You Know? Unleashing Safety Potential of LLMs via Self-Aware Guard Enhancement Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:55.339667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 727bde31-8e35-4222-9661-80c07f10d591 · inbound

Investigating the Vulnerability of LLM-as-a-Judge Architectures to Prompt-Injection Attacks cites this paper.

Investigating the Vulnerability of LLM-as-a-Judge Architectures to Prompt-Injection Attacks Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:18:09.816432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-20T06:33:59.587034+00:00.