Paper Citation Record · LEDGER

AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2311.08592.

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

pith.paper-citation-record.v1
2311.08592 v2

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 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:45:20.513666Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T13:17:39.532550Z

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 6936c644-67ee-477b-addf-217c0ccaf4c7 · inbound

ShieldGemma: Generative AI Content Moderation Based on Gemma cites this paper.

ShieldGemma: Generative AI Content Moderation Based on Gemma AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:17:39.534477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e953e225-a21a-4603-b694-b50fb4963a10 · inbound

From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models cites this paper.

From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T14:45:20.513666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ae3156-39d9-4a0b-80cc-0eebe06135f7 · inbound

Agentic Web: Weaving the Next Web with AI Agents cites this paper.

Agentic Web: Weaving the Next Web with AI Agents AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications

Reference 180

Resolution: unresolved; no resolver link, observed 2026-08-06T13:05:39.839795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4093c14-bee1-4cca-9516-90ccde7d5b27 · inbound

Libra: Large Chinese-based Safeguard for AI Content cites this paper.

Libra: Large Chinese-based Safeguard for AI Content AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T12:17:38.700638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faef68d6-738a-401f-94cd-4d9999757189 · inbound

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain cites this paper.

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:51:41.870219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d84c92da-2222-42a2-8752-5f263b3c9b38 · inbound

Semalith v1.4: A Calibrated 184M Safety Classifier Achieving State-of-the-Art Prompt-Injection Detection at 44x Fewer Parameters than Llama-Guard-3-8B cites this paper.

Semalith v1.4: A Calibrated 184M Safety Classifier Achieving State-of-the-Art Prompt-Injection Detection at 44x Fewer Parameters than Llama-Guard-3-8B AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T14:52:12.574580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 153fcb74-d969-4170-8d67-9e08ce1803b1 · inbound

Adversarial Stress Testing of Role-Playing Language Agents using Multi-Agent Evaluation cites this paper.

Adversarial Stress Testing of Role-Playing Language Agents using Multi-Agent Evaluation AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T00:29:56.208408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.