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Paper Citation Record · LEDGER

Kaleidoscopic Teaming in Multi Agent Simulations

As of 9 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.17514.

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

pith.paper-citation-record.v1
2506.17514 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:54.077983Z

measured 54 of 54 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

54 of 54 outbound references displayed

  • verified exact1
  • verified fuzzy18
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e019014-c8bb-4e2a-9eed-7e82d7c87d0b · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

Kaleidoscopic Teaming in Multi Agent Simulations The claude 3 model family: Opus, sonnet, haiku

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T23:36:03.014443Z

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.

source=pdf_text observed=2026-08-06T23:35:46.950203Z digest=sha256:242d17ae589459a0e6a0a4390ab5ef92271a7e16e559efb92180d4d019fe0e19

Observation ce8be272-cf91-477d-896c-8813f7ddcca1 · outbound

This paper cites Claude 3.7 sonnet system card.

Kaleidoscopic Teaming in Multi Agent Simulations Claude 3.7 sonnet system card

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T23:36:02.645357Z

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.

source=pdf_text observed=2026-08-06T23:35:47.148736Z digest=sha256:396e2d709d597bc77c8f911c9cb340c25db3f7c029d8136e96d05754ce12a61a

Observation a6d46fdf-4ef0-4def-9356-fd2bbe53bc74 · outbound

This paper cites Deception in LLMs: Self-Preservation and Autonomous Goals in Large Language Models.

Kaleidoscopic Teaming in Multi Agent Simulations Deception in LLMs: Self-Preservation and Autonomous Goals in Large Language Models

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:47.296378Z digest=sha256:2c61774e15e5ddb0b89c0d64d63c2340e46ad86e1d91fc0f1944c8608bffecac

Observation d1c03a4e-92e4-4a51-9c7c-61118fc31784 · outbound

This paper cites Explore, Establish, Exploit: Red Teaming Language Models from Scratch.

Kaleidoscopic Teaming in Multi Agent Simulations Explore, Establish, Exploit: Red Teaming Language Models from Scratch

Reference 4

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no resolver link, observed 2026-08-06T23:35:47.454816Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:35:47.454816Z digest=sha256:7dbafd67d4d359af56716ef13097c8b6b53dcb4ff98d090ce8d68c1e4345a04f

Observation be3b2584-87c4-4ca6-bc69-a67f78875611 · outbound

This paper cites Why Do Multi-Agent LLM Systems Fail?.

Kaleidoscopic Teaming in Multi Agent Simulations Why Do Multi-Agent LLM Systems Fail?

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:35:47.565189Z digest=sha256:bae6d2da40f29a12a82fcbc7af62184deaef3c53b43c0eae56a354db513f16ca

Observation 65af8e6b-9352-4d5e-a76c-b54d08e871d0 · outbound

This paper cites Strategize Globally, Adapt Locally: A Multi-Turn Red Teaming Agent with Dual-Level Learning.

Kaleidoscopic Teaming in Multi Agent Simulations Strategize Globally, Adapt Locally: A Multi-Turn Red Teaming Agent with Dual-Level Learning

Reference 6

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no resolver link, observed 2026-08-06T23:35:47.694750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:47.694750Z digest=sha256:730804839dff9e5e4000581ce837ce1b3fa4e0340ba7bf802d93bca1e293893e

Observation c18b4566-1e35-43e7-849f-8c7810e41505 · outbound

This paper cites Agentpoison: Red- teaming llm agents via poisoning memory or knowledge bases.Advances in Neural Information Processing Systems, 37:130185–130213, 2024.

Kaleidoscopic Teaming in Multi Agent Simulations Agentpoison: Red- teaming llm agents via poisoning memory or knowledge bases.Advances in Neural Information Processing Systems, 37:130185–130213, 2024

Reference 7

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source=pdf_text observed=2026-08-06T23:35:47.806651Z digest=sha256:c719e3f9d0fb5f7a6b5bc77fce7b249d04d435330e0de1364c62956ea7f40bde

Observation 91b3f184-b2ed-4920-a8b2-de950de0bd23 · outbound

This paper cites AMONGAGENTS: Evaluating Large Language Models in the Interactive Text-Based Social Deduction Game.

Kaleidoscopic Teaming in Multi Agent Simulations AMONGAGENTS: Evaluating Large Language Models in the Interactive Text-Based Social Deduction Game

Reference 8

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no resolver link, observed 2026-08-06T23:35:47.894744Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:35:47.894744Z digest=sha256:75154c3e80929cffc196e86ce9a7db26f75671b8eb6fd8fb692edec1aac331d8

Observation 0ae59b3a-f346-43ba-b3a0-2e526f7b66c6 · outbound

This paper cites A Survey on LLM-as-a-Judge.

Kaleidoscopic Teaming in Multi Agent Simulations A Survey on LLM-as-a-Judge

Reference 9

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no resolver link, observed 2026-08-06T23:35:48.068327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:48.068327Z digest=sha256:9f8f47708a682c8450a23b8e0354ffe01250b2b96699325ddd20dba8121a9158

Observation ce49d30d-581a-4d30-96cb-d913e59d04b6 · outbound

This paper cites LLM Multi-Agent Systems: Challenges and Open Problems.

Kaleidoscopic Teaming in Multi Agent Simulations LLM Multi-Agent Systems: Challenges and Open Problems

Reference 10

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no resolver link, observed 2026-08-06T23:35:48.164903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:48.164903Z digest=sha256:c960718c554f3ed7c97940d501897504a6632b0c9e2a901b1095299c0fb2a9ae

Observation f6cbd53c-3f13-43dc-9f23-ac2a7f93d45d · outbound

This paper cites Understanding the planning of LLM agents: A survey.

Kaleidoscopic Teaming in Multi Agent Simulations Understanding the planning of LLM agents: A survey

Reference 11

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source=pdf_text observed=2026-08-06T23:35:48.247970Z digest=sha256:c397349fe233fce2aeb6429c1223197ae64b1af9055018c504d97efb00b3fa83

Observation 8647b6aa-100e-4118-9e76-f7469a7d48e2 · outbound

This paper cites The amazon nova family of models: Technical report and model card.Amazon Technical Reports, 2024.

Kaleidoscopic Teaming in Multi Agent Simulations The amazon nova family of models: Technical report and model card.Amazon Technical Reports, 2024

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:36:02.275937Z

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.

source=pdf_text observed=2026-08-06T23:35:48.346561Z digest=sha256:61da731b2af5eb25b5754ee1587c37a517650b99fa11a3b3e368f96a9933e754

Observation 1e8d2051-f6b3-4be8-b08c-32a1f6b150c0 · outbound

This paper cites Mixtral of Experts.

Kaleidoscopic Teaming in Multi Agent Simulations Mixtral of Experts

Reference 13

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no resolver link, observed 2026-08-06T23:35:48.464738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:48.464738Z digest=sha256:c0f034dc797ec0ee078e6b70006ab7a320e66814ffb580d187dbe5a3d4191699

Observation 53f5d1b5-a42e-4d53-a401-1421b231b884 · outbound

This paper cites Red teaming visual language models.

Kaleidoscopic Teaming in Multi Agent Simulations Red teaming visual language models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:36:02.014776Z

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.

source=pdf_text observed=2026-08-06T23:35:48.574746Z digest=sha256:af1e613b2c33b112c17ac911b0ec835c51c37c954b872549073fc066bcf672b3

Observation a50d0b33-0dcb-4eaa-b186-036595723479 · outbound

This paper cites Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.

Kaleidoscopic Teaming in Multi Agent Simulations Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems

Reference 15

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no resolver link, observed 2026-08-06T23:35:48.715032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:48.715032Z digest=sha256:f9b90ff949891bf3eeeec855d944b34a52096cfab54be113e762eca6676b7619

Observation d6801c5a-0d89-45bf-9d7e-2600a511575e · outbound

This paper cites FLIRT: Feedback loop in-context red teaming.

Kaleidoscopic Teaming in Multi Agent Simulations FLIRT: Feedback loop in-context red teaming

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:36:01.674857Z

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.

source=pdf_text observed=2026-08-06T23:35:48.874828Z digest=sha256:b2fd04e12a19a813b47ddd9268984290ea437efbad6be48ca4155c5847b467c3

Observation c69d0a6b-229e-4ca3-82be-525bbeaf84ff · outbound

This paper cites Enhancing Reasoning with Collaboration and Memory.

Kaleidoscopic Teaming in Multi Agent Simulations Enhancing Reasoning with Collaboration and Memory

Reference 17

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no resolver link, observed 2026-08-06T23:35:49.024843Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:35:49.024843Z digest=sha256:08d8f6729db9e03068de4850d7dc2fc52c513dc23105b53fd7cefcf75fbc4143

Observation 8a9e3bef-3d00-48e7-bb34-5fb578784dcc · outbound

This paper cites MLGym: A New Framework and Benchmark for Advancing AI Research Agents.

Kaleidoscopic Teaming in Multi Agent Simulations MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Reference 18

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source=pdf_text observed=2026-08-06T23:35:49.121636Z digest=sha256:21fb52207d69f40ac29a394b60b0e29e2dacce9ec3091329fb5a42e1592bd21e

Observation f5453014-98e3-4a69-ac3b-2dd86e8d7be9 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

Kaleidoscopic Teaming in Multi Agent Simulations Generative agents: Interactive simulacra of human behavior

Reference 19

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no resolver link, observed 2026-08-06T23:35:49.254491Z

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source=pdf_text observed=2026-08-06T23:35:49.254491Z digest=sha256:273bb2bcdcb565f6a61b5ae1cedb23cd42301f54826be111d843e7d40c2ce8bc

Observation c5cac94c-a849-4eb2-a36c-64ebc922054d · outbound

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

Kaleidoscopic Teaming in Multi Agent Simulations Automated Red Teaming with GOAT: the Generative Offensive Agent Tester

Reference 20

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no resolver link, observed 2026-08-06T23:35:49.370368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:49.370368Z digest=sha256:702cc2e3501d796742d9fde2b7da10cfb8c4cbf33fe576ca0778f92d6ac5fa49

Observation c83d5aaf-d732-4dd6-b3a5-0c7fccdafb19 · outbound

This paper cites Red teaming language models with language models.

Kaleidoscopic Teaming in Multi Agent Simulations Red teaming language models with language models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:49.524746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:49.524746Z digest=sha256:e796f2b33c1c35f8889c7d22fb47a59f800b5080c8747630ce6df117625dbb9d

Observation edc4cfd0-e7c4-4c81-a029-2b46bfad77e4 · outbound

This paper cites AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society.

Kaleidoscopic Teaming in Multi Agent Simulations AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society

Reference 22

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no resolver link, observed 2026-08-06T23:35:49.764747Z

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source=pdf_text observed=2026-08-06T23:35:49.764747Z digest=sha256:ee3c47ec9f450f0975566f1113298027453f9594baab392902e4d02fcd330e65

Observation ae22c6b6-6de4-4240-b333-edaa923cbdf7 · outbound

This paper cites Evaluating large language models through communication games: An agent-based framework using werewolf in unity.

Kaleidoscopic Teaming in Multi Agent Simulations Evaluating large language models through communication games: An agent-based framework using werewolf in unity

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-06T23:36:01.234749Z

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.

source=pdf_text observed=2026-08-06T23:35:49.915639Z digest=sha256:9f3fc392c42d2368108f9fd358c2ccc10b82507443b501fc629ef2d9d6c6e366

Observation b8fee457-b1ad-4bf5-bdec-336b331c2d52 · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

Kaleidoscopic Teaming in Multi Agent Simulations ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 24

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source=pdf_text observed=2026-08-06T23:35:50.042715Z digest=sha256:7b270c19e4b185df3ce970f1bdcdbe5d417940e96fe3110434dcef75721d0121

Observation f0f96b5f-63de-426b-8506-368867953784 · outbound

This paper cites Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack.

Kaleidoscopic Teaming in Multi Agent Simulations Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack

Reference 25

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no resolver link, observed 2026-08-06T23:35:50.207030Z

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source=pdf_text observed=2026-08-06T23:35:50.207030Z digest=sha256:fb927cc021840df2f4d1839d66b07bae39ce204013e5f50aaf31018edb594c2d

Observation cd1553ba-71e9-4dd8-9f86-860dc395762d · outbound

This paper cites AgentRxiv: Towards Collaborative Autonomous Research.

Kaleidoscopic Teaming in Multi Agent Simulations AgentRxiv: Towards Collaborative Autonomous Research

Reference 26

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no resolver link, observed 2026-08-06T23:35:50.371966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:50.371966Z digest=sha256:d0377165a7e3f6b22cbe35cb0a70dba57ac343f0046eed37115c3edd1aa46565

Observation 388440fe-f98d-460f-b7ec-a535bee7e0bb · outbound

This paper cites Jailbreak in pieces: Compositional adversarial attacks on multi-modal language models.

Kaleidoscopic Teaming in Multi Agent Simulations Jailbreak in pieces: Compositional adversarial attacks on multi-modal language models

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:36:00.646983Z

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.

source=pdf_text observed=2026-08-06T23:35:50.486054Z digest=sha256:09c73a916295fce8f027e7f3d8f0cd0af47d63c86aa86c39b6c67f0b9bbc2f87

Observation 17eb5e90-6760-475f-b74f-04a88d54dcc2 · outbound

This paper cites WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting.

Kaleidoscopic Teaming in Multi Agent Simulations WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting

Reference 28

Resolution
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no resolver link, observed 2026-08-06T23:35:50.618120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:50.618120Z digest=sha256:b220d7dea41e7933b79c0b3c9f249a646f6ad3e2b18832946f1948fa8eb54245

Observation 95492e05-b30a-49fe-bb12-b92829b76f58 · outbound

This paper cites Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents.

Kaleidoscopic Teaming in Multi Agent Simulations Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Reference 29

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no resolver link, observed 2026-08-06T23:35:50.744689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:50.744689Z digest=sha256:05881845d300f7c6b96713cf8b385b3f938bd3e1992400663a35ca3ce362baff

Observation fcfd478f-5ff1-4b96-961a-4ce66f6995da · outbound

This paper cites Operationalizing a threat model for red-teaming large language models (llms).arXiv preprint arXiv:2407.14937, 2024.

Kaleidoscopic Teaming in Multi Agent Simulations Operationalizing a threat model for red-teaming large language models (llms).arXiv preprint arXiv:2407.14937, 2024

Reference 30

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no resolver link, observed 2026-08-06T23:35:50.854751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:50.854751Z digest=sha256:d030d4618a023c3ad710d36c463df16417f10d62d56e67ef0875da0ad2d9ce57

Observation 965896c1-a9f1-4e1a-b09c-829d4e15afc5 · outbound

This paper cites A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345, 2024.

Kaleidoscopic Teaming in Multi Agent Simulations A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345, 2024

Reference 31

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no resolver link, observed 2026-08-06T23:35:51.004746Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:51.004746Z digest=sha256:2f58407667033f12664cd8af72d43323f6efd8aea3d8b353dd25fd1a4d5676d2

Observation 4bda551a-033a-41e3-817f-34d99574f430 · outbound

This paper cites Gradient-based language model red teaming.

Kaleidoscopic Teaming in Multi Agent Simulations Gradient-based language model red teaming

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:36:00.174820Z

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.

source=pdf_text observed=2026-08-06T23:35:51.158017Z digest=sha256:1959e64ae3d93e542a9b1e0cecfe640c6d229b155201cfd577fb819f228afcf3

Observation 4b7c2788-7941-4aba-8e60-06119821ae9a · outbound

This paper cites Ioannidis, Karthik Subbian, Jure Leskovec, and James Zou.

Kaleidoscopic Teaming in Multi Agent Simulations Ioannidis, Karthik Subbian, Jure Leskovec, and James Zou

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:59.914837Z

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.

source=pdf_text observed=2026-08-06T23:35:51.294648Z digest=sha256:1baa454ba27cbd3bb89f0a2a885d4deb62ada319e1c2feca0a8c8448b33cab46

Observation 31e1a4e7-92af-425a-ac0e-7e5f92ec49fe · outbound

This paper cites Chain of attack: a semantic-driven contextual multi-turn attacker for llm.

Kaleidoscopic Teaming in Multi Agent Simulations Chain of attack: a semantic-driven contextual multi-turn attacker for llm

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:59.585228Z

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.

source=pdf_text observed=2026-08-06T23:35:51.474743Z digest=sha256:8d76e42515263d273cdfc707cefee8f8a372a442d9eae749c6ba35f9d7e29158

Observation d756d913-41d0-4824-adae-274b174d93be · outbound

This paper cites GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts.

Kaleidoscopic Teaming in Multi Agent Simulations GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts

Reference 35

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no resolver link, observed 2026-08-06T23:35:51.604227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:51.604227Z digest=sha256:aaa723c91ce60c4bfad40fd5a5d08c18826cee3d211114de8c85493d236462ce

Observation b00e30ff-93ec-4d7e-9cd3-b9e6a5c468dc · outbound

This paper cites The human factor in ai red teaming: Perspectives from social and collaborative computing.

Kaleidoscopic Teaming in Multi Agent Simulations The human factor in ai red teaming: Perspectives from social and collaborative computing

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:59.275960Z

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.

source=pdf_text observed=2026-08-06T23:35:51.751311Z digest=sha256:265cd500ddb3be7304e8773e9705cd12d712b8f8ea1385df5c3772e1ca625a12

Observation b51a4eae-22f5-47db-bc3b-e90c0f51a5d2 · outbound

This paper cites Planning with multi- constraints via collaborative language agents.

Kaleidoscopic Teaming in Multi Agent Simulations Planning with multi- constraints via collaborative language agents

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:59.024751Z

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.

source=pdf_text observed=2026-08-06T23:35:51.894750Z digest=sha256:6a1655aab555f37d0b8d1731212bedea9eda0bf25a7460a0d56dc8047f0205f2

Observation 95cf6250-a2ca-468c-a55a-e21a4a85c9f5 · outbound

This paper cites Wider and Deeper LLM Networks are Fairer LLM Evaluators.

Kaleidoscopic Teaming in Multi Agent Simulations Wider and Deeper LLM Networks are Fairer LLM Evaluators

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:52.067900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:52.067900Z digest=sha256:d88e7bec00fbd1c01815641048f25b98ba9c45fd1c6cfd81a20ce767639ee62f

Observation e0f3a883-07fb-499a-bb2d-1cd1d2add41d · outbound

This paper cites Agent-SafetyBench: Evaluating the Safety of LLM Agents.

Kaleidoscopic Teaming in Multi Agent Simulations Agent-SafetyBench: Evaluating the Safety of LLM Agents

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:52.258662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:52.258662Z digest=sha256:5304feb75ed6cb122029bd4946ccd6589127bf625474f756c6f96ef877c8eba0

Observation ee8810b7-2a74-4b6b-88d3-b9ea0e909704 · outbound

This paper cites Enhancing the general agent capabilities of low-paramter LLMs through tuning and multi-branch reasoning.

Kaleidoscopic Teaming in Multi Agent Simulations Enhancing the general agent capabilities of low-paramter LLMs through tuning and multi-branch reasoning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:58.704764Z

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.

source=pdf_text observed=2026-08-06T23:35:52.371793Z digest=sha256:b412f7842cd18824247391c7e57d2c84a58bd8a564eb3bc9bf0c74f401608b92

Observation 1c4bf418-9933-4aa7-ac83-7deb7d2c80dd · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

Kaleidoscopic Teaming in Multi Agent Simulations WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:52.505017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:52.505017Z digest=sha256:6b0a92b327000a26dd6026402666dbb6a3408889c3aff195e9851d33c8cf6695

Observation d700abbb-c455-47d6-b6b0-3d735c27d72d · outbound

This paper cites SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents.

Kaleidoscopic Teaming in Multi Agent Simulations SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:52.622151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:52.622151Z digest=sha256:12630dfb0cc79b6a3d42f0584ec454f7ae1eeb5297e3fcdace10b0dc0255cf25

Observation b0f870ed-0b3f-4d6d-83a5-e54e70c8cfb5 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Kaleidoscopic Teaming in Multi Agent Simulations Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:52.752309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:52.752309Z digest=sha256:95e2881e9a1e6940b15ef607b5213a808e9dc7f584178430527bfcb2681f42d5

Observation f0eb3fca-7fc7-4700-ab05-56891a5c158f · outbound

This paper cites an unresolved cited work.

Kaleidoscopic Teaming in Multi Agent Simulations Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:58.377418Z

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.

source=pdf_text observed=2026-08-06T23:35:52.916635Z digest=sha256:f6f62df0a961a382b91c54e16e8fd87b3e9dd9c74eee64cb49ecdb014d9dab6f

Observation e54817e4-abed-40ae-b14c-92f730d11001 · outbound

This paper cites neural network accelerator compounds.

Kaleidoscopic Teaming in Multi Agent Simulations neural network accelerator compounds

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:57.971150Z

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.

source=pdf_text observed=2026-08-06T23:35:53.055142Z digest=sha256:e09a6953aec9dc79486991a44bcf955c1b34a369dc24c5df823376816cf40429

Observation 86417517-29f6-49eb-aae1-1a31f105912d · outbound

This paper cites limited resources.

Kaleidoscopic Teaming in Multi Agent Simulations limited resources

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:57.683037Z

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.

source=pdf_text observed=2026-08-06T23:35:53.155595Z digest=sha256:b0d26cba6b368745e6386754df1995653b73b9118b8dc395e65f2c4cf48f79a3

Observation 644e2092-50f9-485f-a622-bcf5f918316c · outbound

This paper cites RESEARCH-FACILITY-4580.

Kaleidoscopic Teaming in Multi Agent Simulations RESEARCH-FACILITY-4580

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:57.274805Z

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.

source=pdf_text observed=2026-08-06T23:35:53.249723Z digest=sha256:291c7b92cf05f61768bfee4adf8386a95ba422fc26fd203a13a147a04a4565c7

Observation 449d42e2-d1c4-4755-8673-3a03c84fedde · outbound

This paper cites an unresolved cited work.

Kaleidoscopic Teaming in Multi Agent Simulations Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:56.864745Z

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.

source=pdf_text observed=2026-08-06T23:35:53.385901Z digest=sha256:856d9e41d9d498d32f2fe089c84fa3ab9763580b7b6ae5fc6ec1d4d0fda5efc9

Observation f9f72d3c-5e33-49ba-93b1-16c0d91317ff · outbound

This paper cites NVDA") get_quotes(symbol=.

Kaleidoscopic Teaming in Multi Agent Simulations NVDA") get_quotes(symbol=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:56.529481Z

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.

source=pdf_text observed=2026-08-06T23:35:53.523557Z digest=sha256:a5c78c2e8a541f62fe36eb92e5eb5ef125f0b482d642498dee2c65d9a9142c28

Observation 660dde98-9bdb-479f-aad5-d07fd76af580 · outbound

This paper cites our_AI_research_team.

Kaleidoscopic Teaming in Multi Agent Simulations our_AI_research_team

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:35:56.220237Z

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.

source=pdf_text observed=2026-08-06T23:35:53.644747Z digest=sha256:e780afb5e87139d6e003fc235ae7d321ce9d289a0fb295560a50a1508ac698cf

Observation 5dda438a-09e5-489e-8493-c28fd500064a · outbound

This paper cites an unresolved cited work.

Kaleidoscopic Teaming in Multi Agent Simulations Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:56.002677Z

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.

source=pdf_text observed=2026-08-06T23:35:53.794748Z digest=sha256:0940dd20c73c92a5a0fd83197a3674317fa3d1247f32434411d3707af6e80ac5

Observation bda5dc0f-1f76-4fca-b296-c962d855a19c · outbound

This paper cites an unresolved cited work.

Kaleidoscopic Teaming in Multi Agent Simulations Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:55.814404Z

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.

source=pdf_text observed=2026-08-06T23:35:53.893114Z digest=sha256:5851aa0257ce54bb6aae9596bcdc7a15ecd7abaee180586d4551ed477d3d5b39

Observation a979b8f7-3b7a-498d-b2c7-c41edfd5253b · outbound

This paper cites an unresolved cited work.

Kaleidoscopic Teaming in Multi Agent Simulations Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:35:55.601836Z

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.

source=pdf_text observed=2026-08-06T23:35:53.984667Z digest=sha256:99290d2f939889b44f56b43809a6de0aba8873a81142478de8ad4cb7fe47e3f9

Observation 7eed4e41-0da9-4daf-a81c-994339b742ef · outbound

This paper cites highly efficient energy source concept.

Kaleidoscopic Teaming in Multi Agent Simulations highly efficient energy source concept

Reference 54

Resolution
verified exact
raw_fallback, observed 2026-08-06T23:35:54.507669Z

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.

source=pdf_text observed=2026-08-06T23:35:54.077983Z digest=sha256:c5fe143545118c1a87ba1b4a7a990af740a8119b97ea5e5b1c8fe4fad1f5574c

Pith citing papers

No inbound Pith citation observations are available.