Paper Citation Record · LEDGER

AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 inbound Pith citation observations for arXiv:2403.04783.

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

pith.paper-citation-record.v1
2403.04783 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:10:31.093405Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T10:26:11.076263Z

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 2dcc7f64-d806-45fe-8dd4-bcce51bdd1fc · inbound

Jailbreak Attacks and Defenses Against Large Language Models: A Survey cites this paper.

Jailbreak Attacks and Defenses Against Large Language Models: A Survey AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:20:44.468173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a0d05ba6-b761-453e-b545-d5a28031f29f · inbound

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective cites this paper.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T12:56:34.447996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d13057ea-efe0-42db-9eed-43781c6f70b3 · inbound

Boundless Socratic Learning with Language Games cites this paper.

Boundless Socratic Learning with Language Games AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T12:50:17.181702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 098a5ccf-bdb8-4385-a41f-96c0fc9ef065 · inbound

Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM cites this paper.

Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T18:53:15.514755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f76712e0-a05a-4230-92d8-9c76d534f4a9 · inbound

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks cites this paper.

Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:01.769602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d6c430-4514-4969-9bfa-f424bdae5aa0 · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 188

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.697219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e0e1ef83-954b-4e3d-baf3-6fe8801ae300 · inbound

DETAM: Defending LLMs Against Jailbreak Attacks via Targeted Attention Modification cites this paper.

DETAM: Defending LLMs Against Jailbreak Attacks via Targeted Attention Modification AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:31.093405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9f61786-26dd-48ea-83e1-d3002b0515cc · inbound

T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video Models cites this paper.

T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video Models AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T11:31:11.238811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c252686f-dd82-4de3-9377-8ba484070689 · inbound

Attack and defense techniques in large language models: A survey and new perspectives cites this paper.

Attack and defense techniques in large language models: A survey and new perspectives AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-16T04:33:06.622439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3dfc389-8db7-4198-a553-00d97d2002e2 · inbound

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures cites this paper.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 165

Resolution: unresolved; no resolver link, observed 2026-08-16T04:28:00.922999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e12043b5-dbbc-450a-a216-c17e72b6f728 · inbound

Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers cites this paper.

Three Minds, One Legend: Jailbreak Large Reasoning Model with Adaptive Stacked Ciphers AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:13.830889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35c4c82a-a13b-483a-8835-afb609c51de4 · inbound

Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness cites this paper.

Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:02:45.177061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25943294-4e36-4a9f-9906-151cb48001dd · inbound

A Red Teaming Roadmap Towards System-Level Safety cites this paper.

A Red Teaming Roadmap Towards System-Level Safety AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-07T12:11:26.034395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20c6fe58-3282-48ed-ad79-6b3d4083e531 · inbound

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs cites this paper.

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:26.862405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55fb3ae3-8746-46bf-a422-91928754ac8c · inbound

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 138

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.506745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96fd0665-3084-4a7e-82af-daa38dcc1b51 · inbound

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression cites this paper.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:16.836659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 661181d5-bd27-468d-bc24-180d16b4f5f6 · inbound

Toward Principled LLM Safety Testing: Solving the Jailbreak Oracle Problem cites this paper.

Toward Principled LLM Safety Testing: Solving the Jailbreak Oracle Problem AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:42:12.890039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e17440da-2c71-4720-b4c8-554849d03e38 · inbound

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models cites this paper.

SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T22:55:09.189483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f41a7bbc-2b48-4cb1-b593-8e1176907018 · inbound

Evaluating Multi-Agent Defences Against Jailbreaking Attacks on Large Language Models cites this paper.

Evaluating Multi-Agent Defences Against Jailbreaking Attacks on Large Language Models AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:33.012697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7041c1e2-d6ea-4233-86d3-70ca0cd1eaec · inbound

MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection cites this paper.

MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T18:56:56.942963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c5a84dd-3a68-45a3-b162-74353007e0d2 · inbound

Multi-Actor Generative Artificial Intelligence as a Game Engine cites this paper.

Multi-Actor Generative Artificial Intelligence as a Game Engine AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:25.260410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 331f0a6e-6396-4d20-a2e5-9d131f820e8d · inbound

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation cites this paper.

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:42:04.699000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f41039d3-9d9d-411b-99f0-e8eda572e6bf · 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 AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-05T22:24:23.450421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a78fe27-3580-4bdf-95e6-6f4d72bcf790 · inbound

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain cites this paper.

Evaluating the Robustness of Retrieval-Augmented Generation to Adversarial Evidence in the Health Domain AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-05T10:44:10.627459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c31e2c17-d4e9-45b0-98b1-b8c18bbedec8 · 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 AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 228

Resolution: unresolved; no resolver link, observed 2026-08-04T09:25:58.229752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e636f8af-8f02-4e4f-b995-b87b5480e453 · inbound

Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM Prompts cites this paper.

Sentra-Guard: A Real-Time Multilingual Defense Against Adversarial LLM Prompts AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:25:52.204540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ff1a4df8-4f67-4ee6-a596-00bcdeae6c8b · inbound

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection cites this paper.

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:05:38.955901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 191d38ee-d039-4b79-aec7-4800c10e19da · inbound

Sparse Autoencoders are Capable LLM Jailbreak Mitigators cites this paper.

Sparse Autoencoders are Capable LLM Jailbreak Mitigators AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-02T23:52:40.608795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33a197dd-4980-4503-ace5-b3db170b185e · inbound

GAMMAF: A Common Framework for Graph-Based Anomaly Monitoring Benchmarking in LLM Multi-Agent Systems cites this paper.

GAMMAF: A Common Framework for Graph-Based Anomaly Monitoring Benchmarking in LLM Multi-Agent Systems AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:41:14.980522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e7e31ae5-7b21-4ec2-b77b-92152c3bf1b1 · inbound

SoK: Robustness in Large Language Models against Jailbreak Attacks cites this paper.

SoK: Robustness in Large Language Models against Jailbreak Attacks AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:01:08.809660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7d4cad6a-e56d-413b-b317-5a8a43f7c4f9 · inbound

Jailbreak susceptibility prediction and mitigation via the behavioral geometry of models cites this paper.

Jailbreak susceptibility prediction and mitigation via the behavioral geometry of models AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:53:47.691753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8334a1b7-c402-49a2-8f98-bc7ff2b7b8b5 · inbound

Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM Safety cites this paper.

Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM Safety AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:38:54.942955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 820b58bb-20bb-41c9-82a6-f5c7487c9d40 · inbound

Mitigating Taint-Style Vulnerabilities in MCP Servers via Security-Aware Tool Descriptions cites this paper.

Mitigating Taint-Style Vulnerabilities in MCP Servers via Security-Aware Tool Descriptions AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-07-09T10:26:11.077468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation df871845-a3d4-4bf0-a2d3-dd431ad15d7c · inbound

SafeFlow: Semantic Information-Flow Control for Blocking Malicious Propagation in Multi-Agent Systems cites this paper.

SafeFlow: Semantic Information-Flow Control for Blocking Malicious Propagation in Multi-Agent Systems AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T03:01:04.706186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b68910-3e3b-4683-ad27-bd0fb2648e82 · inbound

Adversarial Attacks in Multi-Agent LLM Pipelines: Unveiling Structural Vulnerabilities in Agentic AI Architectures cites this paper.

Adversarial Attacks in Multi-Agent LLM Pipelines: Unveiling Structural Vulnerabilities in Agentic AI Architectures AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T15:21:10.192438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 335b71bd-8f04-476c-afdb-45d55c71fb06 · inbound

When Collaboration Becomes a Trigger: Collective Evidence-Threshold Backdoors in Multi-Agent Systems cites this paper.

When Collaboration Becomes a Trigger: Collective Evidence-Threshold Backdoors in Multi-Agent Systems AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T15:17:24.164870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db108649-8481-473c-8799-452690224ebe · inbound

On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models cites this paper.

On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 154

Resolution: unresolved; no resolver link, observed 2026-08-15T14:21:42.711068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.