Paper Citation Record · LEDGER

RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2407.16667.

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

pith.paper-citation-record.v1
2407.16667 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:58.636039Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.196920Z

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 c37bd803-1faa-4485-99d5-19570148956a · inbound

Towards Action Hijacking of Large Language Model-based Agent cites this paper.

Towards Action Hijacking of Large Language Model-based Agent RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T15:41:57.495607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b7df57e-3b50-45d0-b7dd-7ad85acaadcb · inbound

IP Leakage Attacks Targeting LLM-Based Multi-Agent Systems cites this paper.

IP Leakage Attacks Targeting LLM-Based Multi-Agent Systems RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:38:58.636039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaf8c749-40c7-4757-a814-50bc26cf75e1 · inbound

Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation cites this paper.

Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:30.773525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64e5fd1a-3be0-4c55-99b3-8395982cc5e0 · inbound

Security Concerns for Large Language Models: A Survey cites this paper.

Security Concerns for Large Language Models: A Survey RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T14:27:03.715584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7744cce7-13fd-4e4c-a439-05382bd6f77b · inbound

AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs cites this paper.

AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-15T16:25:35.728642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e199c06-1141-4abc-b457-a1ed558d967d · inbound

Tailored untruths: How personalisation challenges LLM safeguards cites this paper.

Tailored untruths: How personalisation challenges LLM safeguards RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-04T09:55:53.624480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdc0f46b-e5c6-4458-bded-2da1364fbdab · 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 RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 204

Resolution: unresolved; no resolver link, observed 2026-08-04T09:25:58.020700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a615006-dcda-441c-81d2-21de9f63421e · inbound

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs cites this paper.

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-21T19:00:30.405459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c50fb7d8-62a3-4bdc-a200-f4c57e82c605 · inbound

One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue cites this paper.

One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:41:08.935944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e07299f-5b16-43b2-8667-2130f86a1661 · inbound

One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue cites this paper.

One Turn Too Late: Response-Aware Defense Against Hidden Malicious Intent in Multi-Turn Dialogue RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:57:31.572737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 035478b4-c6b1-451c-b84c-8b25209aacbd · inbound

Persona-Conditioned Adversarial Prompting: Multi-Identity Red-Teaming for Adversarial Discovery and Mitigation cites this paper.

Persona-Conditioned Adversarial Prompting: Multi-Identity Red-Teaming for Adversarial Discovery and Mitigation RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:57:27.783147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5336ec10-4700-4968-bd7b-b02e09a4870d · inbound

ADR: An Agentic Detection System for Enterprise Agentic AI Security cites this paper.

ADR: An Agentic Detection System for Enterprise Agentic AI Security RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:18:18.232478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 32c7d545-1008-4e71-9b68-37a04ecfbf94 · inbound

SentGuard: Sentence-Level Streaming Guardrails for Large Language Models cites this paper.

SentGuard: Sentence-Level Streaming Guardrails for Large Language Models RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:56:20.715715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0a521b1a-627a-48b0-b3f8-6a15b63a8f7d · inbound

FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming cites this paper.

FinRED: An Expert-Guided Benchmark Generation and Evaluation Framework for Financial LLM Red-Teaming RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:09:34.759658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5ff33a66-2e33-43e6-b395-70220bb746bb · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:50:11.198417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c142ba75-13d1-46d9-9c5a-bfcb8c2e0e8e · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-02T10:16:42.184888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a562869-30fa-40f6-a310-093383e3a0f5 · 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 RedAgent: Red Teaming Large Language Models with Context-aware Autonomous Language Agent

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T00:29:56.930215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.