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Paper Citation Record · LEDGER

Kaleidoscopic Teaming in Multi Agent Simulations

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:46.950203Z digest=sha256:2aa7fda524e94696263b5e97dcb29fa687ae042f09642d4b9910f73f908a5b86

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:47.148736Z digest=sha256:c131874e6efda2c95a31cf5e7b37704ad4a806006b63cb99ee92abff61f2b338

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:b4d234ecf8240aee13866998ad6aa79c16a6535d2205a53d015b4f8bb337bf56

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:47.454816Z digest=sha256:be17a55dd407740187582505b6ea4c5b78fd275dbafbe6b4ae809e6a44b7e6a9

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=sha256:560bad8a27d638f9c39121880bf24ae369e89dff2e557dc808088b0e02f3efeb

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

Resolution
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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:b8e096b5c179fbde780f5d315dbd153f67ceac1d3f39fbd73ccb9831da3a6a34

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:35:47.806651Z digest=sha256:2504aed8c7a32a371ae9656c63b46eae6a8e6ec1cb65e6abfaf7750fcd780731

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

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source=pdf_text observed=2026-08-06T23:35:47.894744Z digest=sha256:f5456cbf95a73ed6c279f17ad5e7510cea240d7ff164cb175c42a3572c31e893

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:48.068327Z digest=sha256:0edab1abc4f0d4f13fb1c6d9516c93d2c867bdc3481aa2b7257e542e3481762f

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:ee66f2b407ef32679f3152ff326d661671b1106a8bda3298ebd43b69e63a9f8a

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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no resolver link, observed 2026-08-06T23:35:48.247970Z

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source=pdf_text observed=2026-08-06T23:35:48.247970Z digest=sha256:e19862ae753e7e7f0cc06bd4614533fe74369526ad6a92fd5be6c4a7a9571091

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:48.346561Z digest=sha256:08e0bf5c0036bab19a256b91348418def8abc4d3d44c580e64ab1685aeaaf0e1

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=sha256:0fd35ec7ae49d953175cd863ecc0569db196e173e7f826f4ea3cdf450bf3b8dc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:48.574746Z digest=sha256:565fcf6134bd9fb980004be38112a97fccaca00967ec6eb823520831cd93d449

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=sha256:854b175c322676b7d0f5a5b83f2c998cb37aa77b722f34e55990a717b6fb81c1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:48.874828Z digest=sha256:c13e9d164c888bf908854a6879f9f96f0dc8e6feb0e6a474f900a2e804d3b1ce

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:49.024843Z digest=sha256:92c0a91682afd0e7689efc4b00b259a10c30e6bfa9cabc38d88e250a7956a533

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=sha256:5975cd8df69d8b708de632403a5dec0bf593630a806a98b512eac8dfc33fad10

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=sha256:2b6c899b5a34b0a9a35e7b24bb8291a3b3ab417a594e721fdd91b128007a9f4b

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

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source=pdf_text observed=2026-08-06T23:35:49.370368Z digest=sha256:379c8db53fc4d5cca26b96f4d0a8d89c24e871fcb5fe9864fa5f907725c0a4b2

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
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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:ae6e12adaf05686b949b59bffc3e4e5e1122d4ad22ddb90803ebe1a54367ad00

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=sha256:3a093369e5aaeb138237041b5a031cea46793f6b6b8b76c02a27daf0760b3977

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:49.915639Z digest=sha256:459e73ab8b7d260a81e006683abec8d4bfd448283279c3c969f7d68f68f06c30

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:a9f73233141ed845b3e1a800ca612fd99cd5a9c51342e35558b68b1600063380

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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source=pdf_text observed=2026-08-06T23:35:50.207030Z digest=sha256:e3a61dc5383f6af663d371a8903271a7c9d3d73f0383b415486a93c6fb3cf8b1

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

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source=pdf_text observed=2026-08-06T23:35:50.371966Z digest=sha256:56f36f9dfaea6812f4473c2887507896f03f6299ec460da772965c1fd3073fe2

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:50.486054Z digest=sha256:13274cedf5d373461f92576d56904b82686111760726faf3779f22f514c22a01

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:35:50.618120Z digest=sha256:ea928276842a4a413cbdf77d6899b019560585beb5185022c44e9cc13c3ce592

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:c3c9efc2cac98f8169e6ce176a1c83e11f237ae2f79391471e1fd0ca8345c934

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:c38182ec224533e15ba103ca6d76f9fb590c027b37b1663016e45f4dcde65cd9

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=sha256:1f528e662bf24d739ce186539ad3ad933b37b22072754908e6d58c60ed6b4e8c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:51.158017Z digest=sha256:011e7d7957f87c12d49ba2120382d1a56637ecbbc0093ece8e60367c2c5039ae

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:51.294648Z digest=sha256:b197b5e3c9c55a3751b4513bb2185a8e068b53e34d13ac7cdc73441c6d9b01a7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:51.474743Z digest=sha256:460a356183ed6f268db3d3ed9fe47161f594afa79d45dd566809293ec7303eab

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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unresolved
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:aa72138507de88a2ae195b22699ad48848e34d4d9d6d3098ba8e949d804c50e9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:51.751311Z digest=sha256:0478565d92b06b6dac3b1ee3c1e47a445b8aefb006b88bd0c557b846d5cb17a1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:51.894750Z digest=sha256:0c0b2ebe0715af770bd8ba3219513f8a0a90a948e042b94d1cc43514fe45635c

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=sha256:40eaf70af74c19a09c09fa6ffa5320a0d184cbef87c83bd13042e97cab064e2e

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=sha256:5391a1430757c23730bcfb4f0564daaa5ffe6eca79534e60a40d56e75b2a5341

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:52.371793Z digest=sha256:6949626945bcb5fb9cd6f4f429a1954b3c05a68ff989d1d55ee009fc4e01cbe0

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:d36f537e7db0738d8d4858618b85f4bc70b725bec2b5c13ff7fc8554c4b6c814

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=sha256:68e9789eb3db95df87ce3f2d64a71a58b907650be444f28b1c698f99c690a1b1

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:b47fb50fea21e6413c700eaab25380e525b00a0c9b9f8fa4f9162e4730023bfe

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:52.916635Z digest=sha256:5e74e4fb8a8cc5517cb627fda86117ab3b5c135ecb0214eb3b04282c27ff736c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:53.055142Z digest=sha256:6d33a93d04ceb087e64f0c307138ab2dcf9bc873c01d1b9515515a8348364df6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:53.155595Z digest=sha256:2d27a4c7db5f091d26be5cb4976fe8de6c0ef5ce4ac1173980ad711d906d077a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:53.249723Z digest=sha256:aaa8f49d1ddec03d88a2dd25431ff62c0db2d50aa3f48c35872741d0de31afcd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:53.385901Z digest=sha256:66b49dcda6c025557c5bd8357de9bd8a50507fc8700c7913ddbee3f0a039167f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:53.523557Z digest=sha256:663ecb7eca18da636e8db824103e34a25e33616f15a833e7d4e903bbc65c415c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:53.644747Z digest=sha256:d36dd1c3263f0e0c1310a5da14adc4883cef8dfedbd5b2b55b489369b24c655d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:53.794748Z digest=sha256:995c752b673d3f64acaeaf848a8ba0f3c60e09da2b4d01c1585af67238f02d7d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:53.893114Z digest=sha256:4fd3a39eeab647dad8153582f0e0132cedd97eda586969581e1c8493eaaae016

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:53.984667Z digest=sha256:f5e76109b1548d8d37811e0ec2f71250b1a5520fdf5fdec9b9d0d0839059e22a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T23:35:54.077983Z digest=sha256:dd687ed3101d6428a425d8bc339416a5c75d8f8549193de9bd0652604616058f

Pith citing papers

No inbound Pith citation observations are available.