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Paper Citation Record · LEDGER

Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2402.16822.

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

pith.paper-citation-record.v1
2402.16822 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:25:54.672598Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

7
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dd77d7f6-02ec-4205-8652-27790d29f87f · inbound

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

Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 37

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no resolver link, observed 2026-08-10T22:25:54.672598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:25:54.672598Z digest=sha256:039357e5dff10a8543d2a86dca38a870157744f8e33d7764de32c97356524775

Observation 3a6aea85-023d-47f7-98f7-81359c39ed58 · inbound

Evolution and The Knightian Blindspot of Machine Learning cites this paper.

Evolution and The Knightian Blindspot of Machine Learning Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 170

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no resolver link, observed 2026-08-10T16:30:10.095362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:30:10.095362Z digest=sha256:e8d42728c87b3351634386c54204355333be018db8344fdf46ec63db062b74b3

Observation 19724a5d-3f5b-483a-9256-2516f451495b · inbound

Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations cites this paper.

Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral Variations Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 35

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no resolver link, observed 2026-08-09T22:47:04.444256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:47:04.444256Z digest=sha256:fb959bd37d0fa74190a6dbcb08b3171cc0a67c87b5eca450bd4a7928e57d33c0

Observation f15d3a20-9433-4811-8118-db662e810c47 · inbound

Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming cites this paper.

Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 3

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verified exact
arxiv_id, observed 2026-05-17T22:20:42.806533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T22:20:42.722655Z digest=sha256:9d1cb5598ffc0b5c4df8284f5e727095743d748558ed5c0c665f528da8fd50bd

Observation 56cb1e1e-e204-4796-b455-02acb15c60e8 · inbound

Adversarial Reasoning at Jailbreaking Time cites this paper.

Adversarial Reasoning at Jailbreaking Time Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 38

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no resolver link, observed 2026-08-09T14:49:08.815088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:49:08.815088Z digest=sha256:93e9e8ec7703dd2b727317c0e9bc39312292f125d396a7949f74c5ff6ddbd475

Observation 6ffe84fd-eaf0-4e13-921e-e69b834f062a · inbound

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation cites this paper.

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 32

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unresolved
no resolver link, observed 2026-08-09T17:09:15.388084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:09:15.388084Z digest=sha256:0327b62a3401c88327e4f6b15bddd9cf3a597dbc90d8edfe3644ee88c516fd95

Observation 8b8c48c7-1360-46d9-8230-a3935d895ddc · inbound

KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs cites this paper.

KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 33

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no resolver link, observed 2026-08-09T04:22:00.561961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T04:22:00.561961Z digest=sha256:0c287bbf91800798835fbe2c526911d66657e97b45601a48b312b417c272a7c9

Observation f1af57d7-b3d5-4e91-8e9b-bee4467e6772 · inbound

Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains cites this paper.

Extract-QD Framework: A Generic Approach for Quality-Diversity in Noisy, Stochastic or Uncertain Domains Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 40

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unresolved
no resolver link, observed 2026-08-08T15:02:49.134884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T15:02:49.134884Z digest=sha256:65d75439eef1d79d204cecae776c81345995db8cbcaf01864156127826985a2c

Observation f30bdc16-e10a-4d89-b134-e5bbd1b09077 · inbound

Salamandra Technical Report cites this paper.

Salamandra Technical Report Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 168

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unresolved
no resolver link, observed 2026-08-08T04:58:33.981545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:33.981545Z digest=sha256:6d0b323080c0d369117e226b929f2ebc29ce1f17a3efd81a1b425d78b9475b9c

Observation 598f292b-bfcb-41c2-b320-390c0e68616d · inbound

Fast Proxies for LLM Robustness Evaluation cites this paper.

Fast Proxies for LLM Robustness Evaluation Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 12

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no resolver link, observed 2026-08-07T19:32:24.103244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:32:24.103244Z digest=sha256:91041033b0515d76cfbad1efcda56d3acedeea3a6312f13e2090eb814af5dbd6

Observation c98d380a-778d-4c31-a646-cc36ab0d7ed6 · inbound

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects cites this paper.

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 81

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no resolver link, observed 2026-08-07T14:26:35.108420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:26:35.108420Z digest=sha256:0fbde645a4680efbaf3d074a6cf5f500a764550fd55bdc499010c29e57d484d6

Observation 83f0cf37-bc8d-4ff8-9581-8ce543e484f8 · inbound

Adversarial Preference Learning for Robust LLM Alignment cites this paper.

Adversarial Preference Learning for Robust LLM Alignment Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 36

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no resolver link, observed 2026-08-07T12:35:22.717519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:22.717519Z digest=sha256:197c106833c4334a835f4e1ac69223a179b71d57d174c6fdf703e854459fd0a7

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

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

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.

source=pdf_text observed=2026-08-07T05:47:06.411541Z digest=sha256:2d61cd187f17d82c550e7fc0ba558ab37e846d0befad756dd14d015dd785aaf4

Observation 35009d95-66aa-4b6f-83aa-3f26744e32df · inbound

JavelinGuard: Low-Cost Transformer Architectures for LLM Security cites this paper.

JavelinGuard: Low-Cost Transformer Architectures for LLM Security Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 42

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no resolver link, observed 2026-08-07T05:41:25.478376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:25.478376Z digest=sha256:6029539dd6232b21fbd3233569f367f41d4e920e5740ef6410341a4a112aa180

Observation 195be6b8-681c-42b3-8ed0-dd4c458f7a3a · inbound

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models cites this paper.

Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 60

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no resolver link, observed 2026-08-07T05:41:58.117338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:41:58.117338Z digest=sha256:7b7c4aaa93fed1d608a6a1ea268a25b7f9dd9399e19f875b0ea7341d239d863a

Observation a1f24584-a178-4256-8d95-67fa1e2fe531 · inbound

Intent Factored Generation: Unleashing the Diversity in Your Language Model cites this paper.

Intent Factored Generation: Unleashing the Diversity in Your Language Model Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 25

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unresolved
no resolver link, observed 2026-08-07T04:47:42.443980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:47:42.443980Z digest=sha256:e7fe73e6ffd545ed8a5342559005c494b39132b586ac340f863130889ec310b8

Observation 1cb4159f-6176-4025-95d0-185f464b418e · inbound

PL-Guard: Benchmarking Language Model Safety for Polish cites this paper.

PL-Guard: Benchmarking Language Model Safety for Polish Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:54.533216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:54.533216Z digest=sha256:83c7b7eb1f7ef4289802f62431150a4b2f4b0cefd2ca4799151fc14ecc8246a8

Observation faa06f18-e6ec-47ba-8560-a1751097701b · inbound

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cites this paper.

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 73

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arxiv_id, observed 2026-05-19T05:52:07.717107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-19T05:48:02.828938Z digest=sha256:66f1783fe025947077f8c3570e6b2c38e76906c631906fc11d4f368d6f2970e9

Observation ef009d23-5b22-45d3-b7d2-722cd1089486 · inbound

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges cites this paper.

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 81

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no resolver link, observed 2026-08-06T14:13:06.225634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:13:06.225634Z digest=sha256:01997a4b8a249248716994d1112b01ef3656050fa3086c8436e46d498a4befcc

Observation c66b72ee-4876-4867-803b-832d3130badf · inbound

Generative Data Refinement: Just Ask for Better Data cites this paper.

Generative Data Refinement: Just Ask for Better Data Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 47

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no resolver link, observed 2026-08-04T20:24:40.737305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:24:40.737305Z digest=sha256:97e456f74e650e1b7e68394ad880cd67f661e35854f9ff36bd460fd2ef45e0ba

Observation 3c3e42de-9389-4c66-b35c-2cc5ea3cff9b · inbound

ToxSearch: Evolving Prompts for Toxicity Search in Large Language Models cites this paper.

ToxSearch: Evolving Prompts for Toxicity Search in Large Language Models Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 18

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unresolved
no resolver link, observed 2026-08-03T22:03:19.769157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:03:19.769157Z digest=sha256:3e981cdf592307ceaf84721dc1175922a3c8be76d7b8bcb50cb60314c04426ca

Observation 39a178c3-7ada-42d9-81f2-e235edb87298 · inbound

Tournament Informed Adversarial Quality Diversity cites this paper.

Tournament Informed Adversarial Quality Diversity Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 33

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verified exact
arxiv_id, observed 2026-05-21T14:44:12.879981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T14:41:43.611099Z digest=sha256:6e8333338a6ca12d0bbfcae386de1ec9dd7ceae4ffdc2f4f0cb5edcfb2aa9216

Observation 68ee0ac2-877e-4913-913b-d5cacc2c8828 · inbound

A clinically validated framework for auditing AI chatbot behavior in mental health interactions cites this paper.

A clinically validated framework for auditing AI chatbot behavior in mental health interactions Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 40

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no resolver link, observed 2026-08-04T06:18:34.918499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:18:34.918499Z digest=sha256:8ceef01075f481773ab12330e701859f68e182340c315391d8f0cb16b79cf2da

Observation b3df1c9b-7655-4087-98b2-a5df797a8703 · inbound

Adaptive Prompt Embedding Optimization for LLM Jailbreaking cites this paper.

Adaptive Prompt Embedding Optimization for LLM Jailbreaking Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 21

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metadata mismatch
arxiv_id, observed 2026-05-11T22:06:14.523858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T03:28:32.989179Z digest=sha256:26b3f90cd21c4574dfa38da924f84064a093a91db90290dfca80d5f11c4f9953

Observation 64af6f05-e74a-4332-b31c-976feb0e2151 · inbound

ContextualJailbreak: Evolutionary Red-Teaming via Simulated Conversational Priming cites this paper.

ContextualJailbreak: Evolutionary Red-Teaming via Simulated Conversational Priming Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 26

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arxiv_id, observed 2026-05-09T05:55:32.384542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T19:16:21.173184Z digest=sha256:c135042512671b034250c064ef2eb414427dcd2a84d55a644df5334114669cac

Observation a5483ee6-d8cc-43d9-8e97-9aefb73693c0 · inbound

Redefining AI Red Teaming in the Agentic Era: From Weeks to Hours cites this paper.

Redefining AI Red Teaming in the Agentic Era: From Weeks to Hours Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 13

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verified exact
arxiv_id, observed 2026-05-11T23:51:44.936396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T16:06:18.057868Z digest=sha256:78b6c9cc4dd82d3e4f95091455a21e7ce96759ff10257afc03aa560cfca47827

Observation 2b01cfc6-d632-40df-87f4-b91bf1760602 · inbound

Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models cites this paper.

Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 19

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metadata mismatch
arxiv_id, observed 2026-05-08T22:09:18.138783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T10:13:35.777910Z digest=sha256:f962c3431ac10dad26e18ba1932ef8d73856f2cbc3541dba4f94df2d9dabd6fc

Observation cb02b00f-60bc-42f5-9194-7e86318bf190 · inbound

Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering cites this paper.

Contexting as Recommendation: Evolutionary Collaborative Filtering for Context Engineering Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 25

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metadata mismatch
arxiv_id, observed 2026-05-20T19:08:54.411605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T19:05:58.638818Z digest=sha256:3b92e52dd6fcdd20b16e2cf2d8b0423aa28e7996bb0519053a10762adb392cdf

Observation c1eb8b4c-00d6-4e95-bf3d-17579a1e0391 · inbound

Quality-Diversity Evolution for Discovering Diverse Vulnerabilities in LLM Safety cites this paper.

Quality-Diversity Evolution for Discovering Diverse Vulnerabilities in LLM Safety Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 8

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metadata mismatch
arxiv_id, observed 2026-06-28T20:32:37.956663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T18:33:58.265424Z digest=sha256:bc3b8700ccc3b9ffc2782cd675e915897a019612bbca4bad63a76a2430fed324

Observation 9f21f96e-b2a8-4865-b0ab-7f5f3fb0a262 · inbound

Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM Prompts cites this paper.

Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM Prompts Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 31

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metadata mismatch
arxiv_id, observed 2026-07-01T21:26:16.377808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T16:54:12.354178Z digest=sha256:26787be86be4890f15bb6a7a2b404c663d0d5d4ce8b054535f16bc9c7bb99f66

Observation 772504b9-01de-4a05-8e61-1d28c19db17d · inbound

Multilingual Refusal Alignment for Safer Large Language Models cites this paper.

Multilingual Refusal Alignment for Safer Large Language Models Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T18:10:00.776045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-04T18:09:17.531727Z digest=sha256:ddd15a4d933501ef705e959bdb156caa6d7cb461011cc3922d7f5aeb7d0e0ad6

Observation 0a34a515-b193-45e0-8450-b95ee5182d2e · inbound

Efficient Safety Alignment of Language Models via Latent Personality Traits cites this paper.

Efficient Safety Alignment of Language Models via Latent Personality Traits Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts

Reference 38

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metadata mismatch
local_arxiv, observed 2026-07-10T15:27:20.032546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-10T15:26:23.290009Z digest=sha256:734e2de9a9fb78567a12619874063f157495344b0a4abeca8cbdc88827d7697c