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Paper Citation Record · LEDGER

Kaleidoscopic Teaming in Multi Agent Simulations

As of 21 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 2026-08-15T19:12:00.292328Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.060878Z digest=sha256:36d1a06a65de47aea92caa6837e1101ff7c8b8fb079c6913805bd37500b5fa69

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.065159Z digest=sha256:da6e3de648c890228db13a5d987209a3afa5cc518daf708b7210cb26350bebf5

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=2026-08-15T19:12:00.069408Z digest=sha256:47a5fc56d7b686a37a1cf7c47f16bf5a1e28e5165624b792a57467276a21a489

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=pdf_text observed=2026-08-15T19:12:00.073495Z digest=sha256:a00a7c381846fadc0738fac5e60b03ff06c7e93de2fc53d473c076f446348760

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=pdf_text observed=2026-08-15T19:12:00.077657Z digest=sha256:e296eaec19cf4843be7c427ba43ff575c5ee3547d4eeebc517102031010932d5

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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source=pdf_text observed=2026-08-15T19:12:00.081879Z digest=sha256:bf01fc0c6cc50f26dc57286140811c8396015c53202ee58aec2d727850c21b17

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=2026-08-15T19:12:00.086668Z digest=sha256:977f146fb501b46d7ee1ad98a8a1d58062f0f338297c184f5dfc90d204123b08

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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source=pdf_text observed=2026-08-15T19:12:00.090697Z digest=sha256:a8786ac9809478601d61d09ff2c250e87e3ad1313fa44f8455bcd6e477efd2e2

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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source=pdf_text observed=2026-08-15T19:12:00.094809Z digest=sha256:c3e2ab51ae51d29d295390335fbb694a7b6080d80591b119bdc9dd936bec32d2

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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source=pdf_text observed=2026-08-15T19:12:00.099760Z digest=sha256:36eb48fe33fd9f706fcd3a0f410b94da3893e7275c99b522b755a226a3f97fbc

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=2026-08-15T19:12:00.106048Z digest=sha256:120902a761bceabf73bf13b4f87a8b7a4f06ce0c5856232df308299a06097835

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.110338Z digest=sha256:fb154488982b1d2f51a2925b77e9c2348c692e49b75e904789f5321fb52b3329

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:12:00.117364Z digest=sha256:031e482a0b796a71c96f1f60eb94532c57aed8bd38d312713e04381cb56e05f8

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.122021Z digest=sha256:09d1a31d02356f837accb3f93cd9ea1c59219db84045b113d96385a0da28e0d4

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 2026-08-15T19:12:00.126186Z

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source=pdf_text observed=2026-08-15T19:12:00.126186Z digest=sha256:2c79bd509550e33ddfa645ad50748065bdd59a6d0f084e377aca9b7e4190e4fd

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

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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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.130635Z digest=sha256:b91884546152046f809fcb08474d90ca129b7ac7c4748223ab975b3e081b22c4

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 2026-08-15T19:12:00.135674Z

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source=pdf_text observed=2026-08-15T19:12:00.135674Z digest=sha256:468d5ce68dc0af6953c6941abe88b46928ded953063e1e98af555cbd6cdfe02d

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=2026-08-15T19:12:00.140590Z digest=sha256:a0042b0a6b233e107fe5ce34a2abb07741c1bfccbc55b254677916eff48460ba

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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source=pdf_text observed=2026-08-15T19:12:00.145156Z digest=sha256:8bee54c53652c54ceeef167d55217708b9545daeb6d6e4aa3ef4eacaa848fe7f

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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source=pdf_text observed=2026-08-15T19:12:00.149515Z digest=sha256:4a288f0c4a626b1218a1a29be7b8af4e7cdb616694300a567fac108c601629cf

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

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no resolver link, observed 2026-08-15T19:12:00.153751Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T19:12:00.153751Z digest=sha256:63f927e863b70a8d791fccba63b83bcd648466ff1a766cb225400fc207fc41fe

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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source=pdf_text observed=2026-08-15T19:12:00.157792Z digest=sha256:8e7f368b4934064632a4b7aab46dd5a19aa9a6db93f0f7fa20af213df6167703

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.161789Z digest=sha256:0b9f1b84e9c7e09d27217502b9acc2b340a88836ed2c1bb95e6ddb83fc9be0a3

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=2026-08-15T19:12:00.165632Z digest=sha256:691683198357deaa1b30667c7f80491ac196996f4aae64cc53baecda5d4db243

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=2026-08-15T19:12:00.169668Z digest=sha256:38874e2aa8ff3e2ac48d7bce02c5a94971e5fc24c779b7471382a48a3850c66e

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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source=pdf_text observed=2026-08-15T19:12:00.173707Z digest=sha256:202950cd97f93cdee63edaddb36aa229ae2ad123858e0fb0a7716017207f6d71

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.177990Z digest=sha256:c4d49d23ad71b29592de6694c5d2489563eb48a6511430f605851ddcf889c390

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 2026-08-15T19:12:00.181828Z

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source=pdf_text observed=2026-08-15T19:12:00.181828Z digest=sha256:6b3a28425821f8a78df900b4f724d0e86f48c9cbe178defb1ae117d353c7c76f

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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source=pdf_text observed=2026-08-15T19:12:00.185932Z digest=sha256:a9ecfe3f2fefd9f2671d876d92670a587e937b3a84cac3d529d2998186fab3bf

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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source=pdf_text observed=2026-08-15T19:12:00.190103Z digest=sha256:4c97eeb67da89e465c1d4a526b4a047293b4ff889a47e7f6fb0356c256249c54

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 2026-08-15T19:12:00.194057Z

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source=pdf_text observed=2026-08-15T19:12:00.194057Z digest=sha256:fb5823b4fc6786eadc2a04f20b6d1ee4545a5aeea6b7495f9a2c9d76ead28ae9

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.198002Z digest=sha256:25215cedc69b2865a04ac97d01c2973ba0571fdc57640bbf9dc44cf6f699e2e6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.202496Z digest=sha256:b3669f0aa8d2aba470167ffadf9feaa785c996c7d3123a5fc7b56f2fd441272c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.207287Z digest=sha256:146c4183de1f22ac94d8c58f7eaf5afa6857dd86b0a7d909773be96c65ce02cb

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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source=pdf_text observed=2026-08-15T19:12:00.211644Z digest=sha256:84951fbdfb67d9ec8443b578dc3a36a4dd8d960586acfa8f6b47b7f10e9830fa

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.215952Z digest=sha256:ce40be6ec8ba94cf4dc2df03092ff9e1b8f2401e04d3a094b1bd9688f4d15c07

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.220983Z digest=sha256:2c606fe4f3ca2439cb0fac847e8ad2c54ae07fb0a520729aa655e20a57a3de94

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 2026-08-15T19:12:00.224751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:12:00.224751Z digest=sha256:754234302b7c068eced2d5e102053357f360c49ea7d0159b60110b08fcb36952

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 2026-08-15T19:12:00.228393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:12:00.228393Z digest=sha256:53465efb24b6b9cb9fbe00ef3baa0b542042283a23dc96b2fbce94df396efc73

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.232252Z digest=sha256:4b8c7b179826e3c6a79ac88b6e293ca55b6492ec8d8e60606b1d8404bc292646

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 2026-08-15T19:12:00.237076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:12:00.237076Z digest=sha256:0c83ba890a536d0e84773ba3e1526912396ad41d01ab3e0935199032df6f59b5

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 2026-08-15T19:12:00.240924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:12:00.240924Z digest=sha256:3417fff96654afe12a3f25179a85185556ff0546eaf2afaf886f58ef2e02f79c

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 2026-08-15T19:12:00.245295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:12:00.245295Z digest=sha256:b2b6af6d716d3120bd2e93369a512601963180340d9a75af9adfe66c577ff9d1

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.251031Z digest=sha256:032e44abed3e621cf878bcbb626959ae9ecd4633e66a42ca9b49aab3a33d0cfd

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.255860Z digest=sha256:0ddbf6d50ed5742001f5261564dff0a5df09c64d12f1f7e467baa2de44dc84d4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.261607Z digest=sha256:2648ef163164c21b559eb2df608eb04832bf9b917020f1920055eca6288dbd1c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.265975Z digest=sha256:8b25dcf375dfec6294a53d5fc705da5bb567fb4ac3fee7437e318d84b9b986f4

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.269715Z digest=sha256:12946e54f87df05676b8993706130c0113b84b0919d7e6cf15ed181f30b5e3a8

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.273514Z digest=sha256:a21c6e8134563502dd41e7bb2cc499c58a234ba3f24002821230262708598c75

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.277197Z digest=sha256:f237edcf0d925344244cfd6a11167c747c502b6142e3e72f398362ceb8eee7c7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.281393Z digest=sha256:23aea64f0fc30ab2a051757f8a5ebd1c81dac420cdb54a5c6e4ab8d2bcbd212d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.285052Z digest=sha256:4d8d2ea27de7875a99d1d19bdc92c1d38c150a7f921fa6c51d60dafaef4d07fb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.288783Z digest=sha256:339d0929540a88b00722df4aa8985db8dc92c9d8fc72ef4b68a5e22f4b01bde6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T19:12:00.292328Z digest=sha256:09095a377dfabdcbf86c99d8b26d33b794e40e48d63a3d0ed690147a19fcbd9c

Pith citing papers

No inbound Pith citation observations are available.