Paper Citation Record · LEDGER

Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2408.00523.

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

pith.paper-citation-record.v1
2408.00523 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:52:17.713876Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:34:02.804069Z

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 3ff1cb96-0fab-4e8a-920d-9b9fceb60fd5 · 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 Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

Reference 185

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:52:10.565969Z

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 cb5ec41d-7c78-4bf5-ac15-89cbd1456a3c · inbound

LLM-Powered AI Agent Systems and Their Applications in Industry cites this paper.

LLM-Powered AI Agent Systems and Their Applications in Industry Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

Reference 114

Resolution: verified exact; arxiv_id, observed 2026-05-22T14:06:37.972210Z

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 d4594931-46ac-4870-ac08-758ab06f6f05 · inbound

GenBreak: Red Teaming Text-to-Image Generators Using Large Language Models cites this paper.

GenBreak: Red Teaming Text-to-Image Generators Using Large Language Models Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:17.713876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c6bfce-8387-4b88-961f-51cdbc6e695a · inbound

Trojan Horse Prompting: Jailbreaking Conversational Multimodal Models by Forging Assistant Message cites this paper.

Trojan Horse Prompting: Jailbreaking Conversational Multimodal Models by Forging Assistant Message Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:25.332759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75869e21-04fe-4de3-8204-96d10fcb08a0 · inbound

Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge cites this paper.

Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World Knowledge Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:06:37.520821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9cf1853-79b1-4c3c-a1ee-aab929a7168c · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

Reference 154

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:46.834913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03e90c74-720b-4f37-b830-b4c646a49900 · 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 Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T09:25:39.433419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9020eb41-cb23-4b27-9d3d-f113fdf65485 · inbound

$PC^2$: Politically Controversial Content Generation via Jailbreaking Attacks on GPT-based Text-to-Image Models cites this paper.

$PC^2$: Politically Controversial Content Generation via Jailbreaking Attacks on GPT-based Text-to-Image Models Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T11:47:40.898462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55934f19-db2a-4737-b06f-b8d99d7ca4a1 · inbound

When does learning pay off? A study on DRL-based dynamic algorithm configuration for carbon-aware scheduling cites this paper.

When does learning pay off? A study on DRL-based dynamic algorithm configuration for carbon-aware scheduling Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T14:09:20.967908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b1aee49-d6d4-4e64-ab81-e833c7510d15 · inbound

The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems cites this paper.

The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:16:03.985916Z

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 b911ea12-5b90-49a5-b903-e050b7a7e728 · inbound

Erased but Exploitable: Black-box Embedding-Aware Prompting Against Unlearned Text-to-Image Diffusion Models cites this paper.

Erased but Exploitable: Black-box Embedding-Aware Prompting Against Unlearned Text-to-Image Diffusion Models Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:34:02.806870Z

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 02f6839e-8c73-4d60-8334-8ab206a9a106 · inbound

SafeGen-Bench: Benchmarking Safety in Image-Conditioned Text-to-Video Generation cites this paper.

SafeGen-Bench: Benchmarking Safety in Image-Conditioned Text-to-Video Generation Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:12:25.193869Z

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 7d718599-6832-47f3-b828-5c23300d9f9e · inbound

Dynamic Defense Profiling Enables Cognitive Jailbreak of Text-to-Image Models cites this paper.

Dynamic Defense Profiling Enables Cognitive Jailbreak of Text-to-Image Models Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T17:07:54.573785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.