Paper Citation Record · LEDGER

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models

As of 15 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 3 inbound Pith citation observations for arXiv:2506.07121.

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

pith.paper-citation-record.v1
2506.07121 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:47:06.558987Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:40:17.048947Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:00:04.605664Z

Reference resolution

58 of 58 outbound references displayed

verified exact0
verified fuzzy21
unresolved36
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 16b8b83b-c6ef-4787-8c66-4d730b2945c5 · outbound

This paper cites Bäck.Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Bäck.Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:11.891490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b45a99a4-a292-469a-a569-5218b2495979 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Constitutional AI: Harmlessness from AI Feedback

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.256235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9dcd942-c6fd-41a4-92ee-878613cc5026 · outbound

This paper cites Bengio, M.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Bengio, M

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:11.747496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ac7ef433-3e74-412b-8fe7-9589df932fb0 · outbound

This paper cites Diverse and Effective Red Teaming with Auto-generated Rewards and Multi-step Reinforcement Learning.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Diverse and Effective Red Teaming with Auto-generated Rewards and Multi-step Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.264820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3141330c-abd4-4866-911e-a540ea84100b · outbound

This paper cites Bhatt, B.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Bhatt, B

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:11.587281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 205fa3cf-e466-49d4-841d-5844d4af3fdf · outbound

This paper cites Bianchi, M.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Bianchi, M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:11.447849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c0505b0c-494e-4ba0-b255-77ad9efbf934 · outbound

This paper cites Jailbreaking Black Box Large Language Models in Twenty Queries.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.277530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bce8597-c33f-498b-841e-205498b47675 · outbound

This paper cites Chatzilygeroudis, A.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Chatzilygeroudis, A

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:11.292316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2779af8e-5a61-40dc-a169-88a2ce94f46e · outbound

This paper cites Cully, J.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Cully, J

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:11.121094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6ac7622e-3a96-4669-b718-b99dc3abe6ff · outbound

This paper cites Cully and Y.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Cully and Y

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:10.976374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 52b78b70-fde6-4433-bcea-01cbdd5673dd · outbound

This paper cites Dathathri, A.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Dathathri, A

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:10.844299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 73945fed-74a1-482b-bf8d-7a752a747947 · outbound

This paper cites Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.296744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 375a866a-b92f-4ba6-bbaf-04ca2fac08c4 · outbound

This paper cites The Llama 3 Herd of Models.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models The Llama 3 Herd of Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.300783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ef6d47e-f5a0-4dd4-8df4-a60d38d7cfec · outbound

This paper cites Ecoffet, J.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Ecoffet, J

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:10.667358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fcddd2d1-5c59-4c25-8599-be5603c40fb7 · outbound

This paper cites Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.307492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d84d0101-5df3-4618-bc73-b038fcf7aa60 · outbound

This paper cites an unresolved cited work.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:10.483219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 530324e5-243d-475f-befc-a84336070e06 · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.315314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67abd309-4205-47e6-bbf7-6df6236cdd2e · outbound

This paper cites Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Ruby Teaming: Improving Quality Diversity Search with Memory for Automated Red Teaming

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.319531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8e1e330-dff1-4996-84b0-4a610fefe98f · outbound

This paper cites an unresolved cited work.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:10.337393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 69f05169-049c-45a3-aa90-a5357d94ac72 · outbound

This paper cites Hughes, M.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Hughes, M

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:10.187505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ff8c9001-6c80-4574-b97e-7e4483d26373 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.331292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8e680d1-4ce1-468d-b82e-3c41893cc558 · outbound

This paper cites Kumar, A.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Kumar, A

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:10.057237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ed031ec8-5f5e-4a6c-ae71-2b8dc591856c · outbound

This paper cites Query-Efficient Black-Box Red Teaming via Bayesian Optimization.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Query-Efficient Black-Box Red Teaming via Bayesian Optimization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.339321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 368b3530-a080-421b-973c-f6a3a13ebf21 · outbound

This paper cites an unresolved cited work.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:09.921799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 55b360fb-1dc4-4a5a-b6d5-97abf34106d2 · outbound

This paper cites Lehman and K.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Lehman and K

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:09.753027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0e16e9b9-30c1-4e9d-8bb6-84233b388f8a · outbound

This paper cites an unresolved cited work.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:09.561224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 488a8623-4496-4674-bcc3-be9a4e926901 · outbound

This paper cites an unresolved cited work.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:09.422246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f7aba010-979d-48e2-b4b0-bebcb28285a6 · outbound

This paper cites an unresolved cited work.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:09.189626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 04f9bc7a-20fe-4c09-bab5-2efced5b5b29 · outbound

This paper cites AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.362862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c72098f9-5c78-41b4-9fcf-a7936fadf178 · outbound

This paper cites Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.366957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4cb2434-aa2d-4e28-9106-4728fbd7ac27 · outbound

This paper cites an unresolved cited work.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:09.066532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7cb49e18-6e4a-4b11-9cf0-c643e13bfec0 · outbound

This paper cites Illuminating search spaces by mapping elites.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Illuminating search spaces by mapping elites

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.374005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d976701a-ec82-472e-a490-91d55c6aa501 · outbound

This paper cites GPT-4 Technical Report.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models GPT-4 Technical Report

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.378195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da3ece7e-93ee-461a-82f1-c75409396c59 · outbound

This paper cites Ouyang, J.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Ouyang, J

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:08.909815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 557819b9-5963-4546-9936-3f57596b3bf7 · outbound

This paper cites Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.385682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5577420-bbba-4584-bd19-2040614556f2 · outbound

This paper cites Papineni, S.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Papineni, S

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:08.749818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a3ccd036-9131-4919-a898-91b51e385d9a · outbound

This paper cites Automated Red Teaming with GOAT: the Generative Offensive Agent Tester.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Automated Red Teaming with GOAT: the Generative Offensive Agent Tester

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.393841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db8f2b4a-8f03-4df1-b33e-e7dcaf7024d8 · outbound

This paper cites Perez, S.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Perez, S

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:08.595811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 79e32fbf-0d62-4208-9e5f-347d2531b2d5 · outbound

This paper cites Pierrot and A.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Pierrot and A

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:08.455692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f31cb81d-0f12-40b3-95da-a498447ae0a3 · outbound

This paper cites Radford, J.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Radford, J

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.405858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 218d1088-3bf5-40a8-8729-f2bc379ba839 · outbound

This paper cites Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.411541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fd6be47-9214-47cc-ba8d-bbc49e7eee8e · outbound

This paper cites Proximal Policy Optimization Algorithms.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Proximal Policy Optimization Algorithms

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.424963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa003bf7-7c74-4f60-ac57-1a6d6c191ee5 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.433915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1aa7f07-83e0-4968-be05-3ce270093c46 · outbound

This paper cites do anything now.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models do anything now

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:08.304003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0100c8d6-5657-42ae-b12b-32b884030d30 · outbound

This paper cites an unresolved cited work.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:08.193528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6a347ce3-01f3-4f55-94f3-36a0c335e24b · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Gemma: Open Models Based on Gemini Research and Technology

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.458934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cafc167-6944-42ee-90f1-3ff624017879 · outbound

This paper cites Tjanaka, M.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Tjanaka, M

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:08.037276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f2678370-4881-4a30-891d-7edee253b3d9 · outbound

This paper cites Tylkin, G.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Tylkin, G

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:47:07.862758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 17b4c414-b8f2-4f89-9b36-58b936c31ebc · outbound

This paper cites A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.486187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ec8586b-9385-4b74-aa5d-c511cf6c4497 · outbound

This paper cites an unresolved cited work.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:47:07.714583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4ec1c18d-206d-45a6-ad1b-233c7e70c5d4 · outbound

This paper cites A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T05:47:06.503637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c381b726-213a-42a9-be42-bf64e4373be7 · outbound

This paper cites Qwen2.5 Technical Report.

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Qwen2.5 Technical Report

Reference 52

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Source-reported events for the cited work

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Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Jailbreak Attacks and Defenses Against Large Language Models: A Survey

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Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Zhang, M

Reference 54

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Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Unresolved cited work

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Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Unresolved cited work

Reference 56

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Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 57

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Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models revolu- tionary

Reference 58

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Pith citing papers

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Tournament Informed Adversarial Quality Diversity cites this paper.

Tournament Informed Adversarial Quality Diversity Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models

Reference 39

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Distributed Quality-Diversity Search for Toxicity in Large Language Models cites this paper.

Distributed Quality-Diversity Search for Toxicity in Large Language Models Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models

Reference 52

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Quality-Diversity Stress Tests for Process Reward Models:What Archive Coverage Can and Cannot Certify cites this paper.

Quality-Diversity Stress Tests for Process Reward Models:What Archive Coverage Can and Cannot Certify Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models

Reference 20

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