Paper Citation Record · LEDGER

Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.06622.

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

pith.paper-citation-record.v1
2406.06622 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:26.049365Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T11:24:08.455362Z

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 4cf7a326-7fb5-4c32-9a4e-b4b441dc7f5a · inbound

To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt cites this paper.

To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:26.049365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b61d8b5-c4a9-4af8-bb6e-f8d22d8ba450 · inbound

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications cites this paper.

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:10.924156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6c18235-ad6c-48fb-bdd4-e7e327fd8b1d · inbound

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models cites this paper.

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T20:03:48.832443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 616e88b1-a1f9-4592-a5f5-e82b15c21ac5 · inbound

Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks cites this paper.

Forewarned is Forearmed: Pre-Synthesizing Jailbreak-like Instructions to Enhance LLM Safety Guardrail to Potential Attacks Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T15:19:28.731489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eb7809f-ae3c-40ba-aec5-93d8f9c9eeeb · inbound

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses cites this paper.

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs

Reference 113

Resolution: unresolved; no resolver link, observed 2026-08-04T09:25:47.599787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c3a2f6-b9a7-42b7-beaf-5b1c4b9a42ac · inbound

RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories cites this paper.

RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T18:41:33.593441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a3cf1fd-9a35-4ef0-b280-d22911e18e05 · inbound

Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations cites this paper.

Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations Adversarial Tuning: Defending Against Jailbreak Attacks for LLMs

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:24:08.457157Z

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.