Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems | Paper Citation Record

Observation b47d4bca-a4aa-4598-a968-ccfb0a1a8864 · outbound

This paper cites GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.169301Z

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Observation 41e7447a-7fe6-45a6-a7ea-a8605530a840 · outbound

This paper cites Why does the effective context length of llms fall short? InICLR, 2025.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Why does the effective context length of llms fall short? InICLR, 2025

Reference 2

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Observation 553bc750-2c93-4aee-9e73-e56d8908b628 · outbound

This paper cites How we built our multi-agent research system, 2025.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems How we built our multi-agent research system, 2025

Reference 3

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Observation ef5b950e-5d0a-4269-a60a-a11a28672688 · outbound

This paper cites Introducing claude opus 4.6.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Introducing claude opus 4.6

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation d1df4830-8816-40f6-8171-ac73eabcb967 · outbound

This paper cites Orchestrate teams of Claude Code sessions.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Orchestrate teams of Claude Code sessions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation aa997563-0437-4c61-8184-aae957aba725 · outbound

This paper cites Claude Code Overview.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Claude Code Overview

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation ce6d2c09-1ffe-47ec-b661-f202dc16d318 · outbound

This paper cites Introducing claude sonnet 4.6.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Introducing claude sonnet 4.6

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation 29ad011c-7a9a-4e41-971d-0cd43aae661d · outbound

This paper cites Program Synthesis with Large Language Models.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Program Synthesis with Large Language Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.176690Z

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Observation b3cb8dff-4eaf-47d1-b879-4cf6b89fb683 · outbound

This paper cites Where did it all go wrong? a hierarchical look into multi-agent error attribution.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Where did it all go wrong? a hierarchical look into multi-agent error attribution

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation a0843373-914d-422a-817b-e377017d3d25 · outbound

This paper cites Why do multi- agent llm systems fail? InNeurIPS Datasets and Benchmarks Track, 2025.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Why do multi- agent llm systems fail? InNeurIPS Datasets and Benchmarks Track, 2025

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation bfcad099-2adc-47d4-b9f6-884649651db2 · outbound

This paper cites BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems BeyondSWE: Can Current Code Agent Survive Beyond Single-Repo Bug Fixing?

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.161644Z

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Observation 52a20a36-b00a-4212-aa57-835528b5386f · outbound

This paper cites Goagent: Group-of-agents communication topology generation for llm-based multi-agent systems.arXiv preprint arXiv:2603.19677, 2026.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Goagent: Group-of-agents communication topology generation for llm-based multi-agent systems.arXiv preprint arXiv:2603.19677, 2026

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.179285Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4fdca7b5-fec2-47ec-b69c-745a1fbcd458 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Evaluating Large Language Models Trained on Code

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.164096Z

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Observation 99a586df-da42-4d18-b467-e74feaadd2b9 · outbound

This paper cites Seeing the Whole Elephant: A Benchmark for Failure Attribution in LLM-based Multi-Agent Systems.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Seeing the Whole Elephant: A Benchmark for Failure Attribution in LLM-based Multi-Agent Systems

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.166812Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c0395aa3-96be-483e-8353-ae36d6fd7d10 · outbound

This paper cites Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.171775Z

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Observation e7acc901-58c5-4fe9-ad62-6f9c3bdf95ed · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Training Verifiers to Solve Math Word Problems

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.153726Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 037da2a1-4226-4704-b11d-4c336c4f9fc1 · outbound

This paper cites SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.174304Z

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Observation 5e5ebfd0-c89c-48b7-9f49-5084ac5c9e13 · outbound

This paper cites Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.140118Z

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Observation bb8e85e9-97ff-4190-8249-b9ee54a272da · outbound

This paper cites FlowReasoner: Reinforcing Query-Level Meta-Agents.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems FlowReasoner: Reinforcing Query-Level Meta-Agents

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.129033Z

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Observation 30a83514-0a25-488f-8654-6b6045fb9bd3 · outbound

This paper cites A new era of intelligence with gemini 3.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems A new era of intelligence with gemini 3

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation 53256cb8-1523-437c-8e05-c50efdca8c83 · outbound

This paper cites Large language model based multi-agents: A survey of progress and challenges.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Large language model based multi-agents: A survey of progress and challenges

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation 09f1d2a2-d916-401d-bc62-5a646f58930a · outbound

This paper cites ReCreate: Reasoning and Creating Domain Agents Driven by Experience.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems ReCreate: Reasoning and Creating Domain Agents Driven by Experience

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.131913Z

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Observation f0796b25-b095-4d89-9fed-02407d1d3622 · outbound

This paper cites Measuring massive multitask language understanding.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Measuring massive multitask language understanding

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation b1dcaa70-15b8-4dd9-8b03-5ee1e9b0843a · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Measuring mathematical problem solving with the math dataset

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation bdc3427d-c812-4599-aa70-04ce7e72c20c · outbound

This paper cites Metagpt: Meta programming for a multi-agent collaborative framework.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Metagpt: Meta programming for a multi-agent collaborative framework

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation 7a0cc13d-14b3-40ca-952a-996cecdd4246 · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.134924Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f3b5a40d-4305-4de3-8d51-bc4d7d8d3883 · outbound

This paper cites Owl: Optimized workforce learning for general multi-agent assistance in real-world task automation.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Owl: Optimized workforce learning for general multi-agent assistance in real-world task automation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation 4e7ef5cf-234f-4dfc-93d9-ad9b59628ddd · outbound

This paper cites Automated design of agentic systems.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Automated design of agentic systems

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation ae86fb6c-2ec9-4e41-b3c5-f0796a55f1fd · outbound

This paper cites EvoMAS: Evolutionary Generation of Multi-Agent Systems.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems EvoMAS: Evolutionary Generation of Multi-Agent Systems

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.137657Z

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Observation 52b4884c-002e-4bf2-b42f-015730ae17a7 · outbound

This paper cites Rethinking failure attribution in multi-agent systems: A multi-perspective benchmark and evaluation.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Rethinking failure attribution in multi-agent systems: A multi-perspective benchmark and evaluation

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.142874Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c34b946a-24eb-48ca-b54c-8e221c9671eb · outbound

This paper cites Aegis: Automated Error Generation and Attribution for Multi-Agent Systems.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Aegis: Automated Error Generation and Attribution for Multi-Agent Systems

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.126305Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0a93ec13-6aa3-4b83-9484-8389abdb52d9 · outbound

This paper cites Workflow-r1: Group sub-sequence policy optimization for multi-turn workflow construction.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Workflow-r1: Group sub-sequence policy optimization for multi-turn workflow construction

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.156369Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c95a2743-45ee-401b-9c79-465e4a8c7ee0 · outbound

This paper cites Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.105696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c5e63e64-e182-472e-aa21-fc4fe6ef372c · outbound

This paper cites Camel: Communicative agents for" mind" exploration of large language model society.Advances in neural information processing systems, 36:51991–52008, 2023.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Camel: Communicative agents for" mind" exploration of large language model society.Advances in neural information processing systems, 36:51991–52008, 2023

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation 80935434-5d90-425d-8b5d-c5d6e830def9 · outbound

This paper cites Towards Self-Improving Error Diagnosis in Multi-Agent Systems.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Towards Self-Improving Error Diagnosis in Multi-Agent Systems

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.120322Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0b953be4-78cd-4e97-a45a-f88b7bf53ccd · outbound

This paper cites AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.159278Z

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Observation 238fcc33-3ac0-430c-8a5e-40c4828edc4e · outbound

This paper cites Assemble your crew: Automatic multi-agent communication topology design via autoregressive graph generation.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Assemble your crew: Automatic multi-agent communication topology design via autoregressive graph generation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation 1b209ac7-5147-473a-ba9b-e6bd8d34b91f · outbound

This paper cites A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges.Vicinagearth, 1(1):9, 2024.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges.Vicinagearth, 1(1):9, 2024

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation 5d0fcd32-48ec-45ec-b393-3325362aea72 · outbound

This paper cites Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.123433Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a14736f3-3d53-4a05-901a-be4429c8907b · outbound

This paper cites Agentswift: Efficient llm agent design via value-guided hierarchical search.arXiv preprint arXiv:2506.06017, 2025.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Agentswift: Efficient llm agent design via value-guided hierarchical search.arXiv preprint arXiv:2506.06017, 2025

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.151168Z

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Observation 470f7a03-2070-422f-bb71-f28350b0b686 · outbound

This paper cites Openmanus: An open-source framework for building general ai agents, 2025.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Openmanus: An open-source framework for building general ai agents, 2025

Reference 41

Resolution: verified exact; doi, observed 2026-06-29T00:12:49.819333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a50e51a7-e2c0-47c1-b6c7-afc04d45e03c · outbound

This paper cites Agentask: Multi-agent systems need to ask.arXiv preprint arXiv:2510.07593, 2025.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Agentask: Multi-agent systems need to ask.arXiv preprint arXiv:2510.07593, 2025

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.103027Z

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Observation 13fae866-a9b2-4c73-b5ae-e9531644988f · outbound

This paper cites arXiv preprint arXiv:2508.02085 , year=.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems arXiv preprint arXiv:2508.02085 , year=

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.111503Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 40f67b8b-34d0-4fa0-b2ad-54d5b0c9c400 · outbound

This paper cites DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.087176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 423e2226-4cfc-4226-aef4-186671c35b46 · outbound

This paper cites CoRR , volume =.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems CoRR , volume =

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T00:12:50.095231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 21396118-0d0b-432f-9755-77626e966686 · outbound

This paper cites Lost in the middle: How language models use long contexts.Transactions of the association for computational linguistics, 12:157–173, 2024.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Lost in the middle: How language models use long contexts.Transactions of the association for computational linguistics, 12:157–173, 2024

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation 856efc90-8967-4539-a38c-950839092784 · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.Advances in neural information processing systems, 36:46534–46594, 2023.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Self-refine: Iterative refinement with self-feedback.Advances in neural information processing systems, 36:46534–46594, 2023

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation d3464cf0-098c-41a9-ae76-895b14a7137b · outbound

This paper cites Gaia: a benchmark for general ai assistants.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Gaia: a benchmark for general ai assistants

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation ed24afa2-087e-448e-8365-6b306c4e33b0 · outbound

This paper cites Introducing gpt-5.4.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Introducing gpt-5.4

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Observation c75994eb-d371-46dd-8259-376ec8388f2b · outbound

This paper cites Multi-Agent Teams Hold Experts Back.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Multi-Agent Teams Hold Experts Back

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.108567Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 42f4f0a0-f9e7-4d19-947b-02543c41e040 · outbound

This paper cites Multi-agent coordination patterns: Five approaches and when to use them.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Multi-agent coordination patterns: Five approaches and when to use them

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

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Unavailable: canonical work link unavailable.

Observation c110b3c1-5909-4d1b-ab36-53dae4d5498a · outbound

This paper cites Chatdev: Communicative agents for software development.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Chatdev: Communicative agents for software development

Reference 52

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f3bccff-abd0-4bfc-8f9e-235cc02ea999 · outbound

This paper cites LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.100767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 661a379b-dbd7-40b8-bd61-d3cac46f6424 · outbound

This paper cites Solving general arithmetic word problems.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Solving general arithmetic word problems

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f36b8e9-3b37-4e7b-9dcb-8589af13878c · outbound

This paper cites Aorchestra: Automating sub-agent creation for agentic orchestration.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Aorchestra: Automating sub-agent creation for agentic orchestration

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.083596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 82af3160-5ae9-4258-b469-0862bc459369 · outbound

This paper cites Team reflexivity and innovation: The moderating role of team context.Journal of Management, 41(3):769–788, 2015.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Team reflexivity and innovation: The moderating role of team context.Journal of Management, 41(3):769–788, 2015

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48abd10b-d3eb-4288-9457-6ce368c02c98 · outbound

This paper cites United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.086221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 57b28ce5-62b4-45c0-aff9-9a2ca6078778 · outbound

This paper cites Agentsquare: Automatic llm agent search in modular design space.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Agentsquare: Automatic llm agent search in modular design space

Reference 58

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a82d2f6-865f-497d-b528-2713f47449bf · outbound

This paper cites ResearchRubrics : A benchmark of prompts and rubrics for evaluating deep research agents.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems ResearchRubrics : A benchmark of prompts and rubrics for evaluating deep research agents

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.089758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c519f28b-46cb-47d7-8172-e6f799943513 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652, 2023.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652, 2023

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 766c358a-a39f-4fbf-9228-737f585268ce · outbound

This paper cites Adaptive In-conversation Team Building for Language Model Agents.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Adaptive In-conversation Team Building for Language Model Agents

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.145659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b0246b87-3a33-4db4-b0dc-9d5fb4e490ce · outbound

This paper cites Coact-1: Computer-using agents with coding as actions.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Coact-1: Computer-using agents with coding as actions

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77cf5f83-9601-42cd-b953-c297d3e142ba · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Kimi K2.5: Visual Agentic Intelligence

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.091997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 45130598-cd20-48d9-90b5-7d509ffa4a1b · outbound

This paper cites Single-Agent LLMs Outperform Multi-Agent Systems on Multi-Hop Reasoning Under Equal Thinking Token Budgets.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Single-Agent LLMs Outperform Multi-Agent Systems on Multi-Hop Reasoning Under Equal Thinking Token Budgets

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.131736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8e1fcae6-2465-4060-ba0f-c19571c35296 · outbound

This paper cites Automated stateful specialization for adaptive agent systems.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Automated stateful specialization for adaptive agent systems

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2725f3b-150f-492c-a7c1-d337583cae97 · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.145617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e287924a-aa6a-4bed-ba34-0e1a35ca3380 · outbound

This paper cites ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.067704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 24a9c5e6-327c-43ef-883c-35e0388574c4 · outbound

This paper cites Reflexivity and work group effectiveness: A conceptual integration.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Reflexivity and work group effectiveness: A conceptual integration

Reference 68

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e986923-b96b-49c3-9c44-5184e89219fc · outbound

This paper cites Autogen: Enabling next-gen llm applications via multi-agent conversations.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Autogen: Enabling next-gen llm applications via multi-agent conversations

Reference 69

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c9bac66-8a82-433b-9972-28770c958fa4 · outbound

This paper cites Prompt optimization with ease? efficient ordering-aware automated selection of exemplars.Advances in Neural Information Processing Systems, 37: 122706–122740, 2024.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Prompt optimization with ease? efficient ordering-aware automated selection of exemplars.Advances in Neural Information Processing Systems, 37: 122706–122740, 2024

Reference 70

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 769410d1-c2c1-407b-add7-19e1c433c40c · outbound

This paper cites When does divide and conquer work for long context llm? a noise decomposition framework.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems When does divide and conquer work for long context llm? a noise decomposition framework

Reference 71

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fe2efc3-00fa-41f1-90ba-b6e958144726 · outbound

This paper cites Don’t build multi-agents.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Don’t build multi-agents

Reference 72

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e761f483-494b-43be-b7f2-445d173dbdd6 · outbound

This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652, 2024.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Swe-agent: Agent-computer interfaces enable automated software engineering.Advances in Neural Information Processing Systems, 37:50528–50652, 2024

Reference 73

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19804ae4-b368-4ce7-9ee3-b778b345d56e · outbound

This paper cites Agentnet: Decentralized evolutionary coordination for llm-based multi-agent systems,.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Agentnet: Decentralized evolutionary coordination for llm-based multi-agent systems,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86df681b-4ef0-4e8f-b8fc-47e65c745230 · outbound

This paper cites AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.103423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a4b10477-2ab5-4c6e-92ef-a933e2c335ea · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems React: Synergizing reasoning and acting in language models

Reference 76

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecdf0b62-ddd1-40d8-afbb-e749e022d147 · outbound

This paper cites Masrouter: Learning to route llms for multi-agent systems.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Masrouter: Learning to route llms for multi-agent systems

Reference 77

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fb9e997-38b8-4247-aa3a-246cb1795266 · outbound

This paper cites Loca-bench: Benchmarking language agents under controllable and extreme context growth.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Loca-bench: Benchmarking language agents under controllable and extreme context growth

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:12:50.117389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b34521e5-6997-4577-8ee3-95d5b0e480c8 · outbound

This paper cites Multi-agent architecture search via agentic supernet.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Multi-agent architecture search via agentic supernet

Reference 79

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 412b84d9-a7c9-4a5f-8e92-98a0756d01b6 · outbound

This paper cites AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T00:12:50.140115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5093c263-60d1-4336-b8be-aaf8200f60ba · outbound

This paper cites Aflow: Automating agentic workflow generation.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Aflow: Automating agentic workflow generation

Reference 81

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09131b6e-9227-48a5-a949-224bde680061 · outbound

This paper cites FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.148061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5546ac54-75cb-4c1e-9b52-ae19c5a8c6a8 · outbound

This paper cites Which agent causes task failures and when? on automated failure attribution of llm multi-agent systems.Proceedings of Machine Learning Research, 267:76583–76599, 2025.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Which agent causes task failures and when? on automated failure attribution of llm multi-agent systems.Proceedings of Machine Learning Research, 267:76583–76599, 2025

Reference 83

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c396bb6-aa05-487e-a6e4-b430bac7372d · outbound

This paper cites Chain of agents: Large language models collaborating on long-context tasks.Advances in Neural Information Processing Systems, 37:132208–132237, 2024.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Chain of agents: Large language models collaborating on long-context tasks.Advances in Neural Information Processing Systems, 37:132208–132237, 2024

Reference 84

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae68638a-7e62-4dae-89a7-c8f5cebd97fc · outbound

This paper cites Longagent: achieving question answering for 128k-token-long documents through multi-agent collaboration.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Longagent: achieving question answering for 128k-token-long documents through multi-agent collaboration

Reference 85

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8504336c-ac49-4854-9117-6150f50c9bc4 · outbound

This paper cites arXiv preprint arXiv:2502.02533 , year=.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems arXiv preprint arXiv:2502.02533 , year=

Reference 86

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T00:12:50.148522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation efca3a7a-8f7b-48c7-bd4b-0c1a25f5a100 · outbound

This paper cites Llm × mapreduce: Simplified long-sequence processing using large language models.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Llm × mapreduce: Simplified long-sequence processing using large language models

Reference 87

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46bb8fca-e168-4052-a791-80846bee795c · outbound

This paper cites Gptswarm: Language agents as optimizable graphs.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Gptswarm: Language agents as optimizable graphs

Reference 88

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f54693d-7e32-44bf-9717-454e272bec81 · outbound

This paper cites no coordination.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems no coordination

Reference 89

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02dbeff4-42e6-4338-ae1a-7659bf07fd30 · outbound

This paper cites an unresolved cited work.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Unresolved cited work

Reference 90

Resolution: unresolved; no resolver link, observed 2026-06-29T00:05:31.780655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

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Outbound references

Pith citing papers