Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T22:43:12.227740Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2607.27942.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T22:43:12.227740Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 15275ded-a024-4293-9878-af99b80fc999 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Learning agents for uncertain environments,
Reference 1
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Observation 3b1ec0f6-2531-412a-abf3-ba99b424203d · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis A roadmap of agent research and development,
Reference 2
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Observation ff625195-6274-4fd8-9872-021e7abf940b · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis The rise and potential of large language model based agents: A survey,
Reference 3
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Observation 4781a9b2-131e-464a-9235-4bcec0ac97d5 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis KoLA: Carefully Benchmarking World Knowledge of Large Language Models
Reference 4
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Observation 7f59c2d7-288a-4e8c-af04-61ad20d8f8cf · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis GPT-4 Technical Report
Reference 5
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Observation b975602f-a383-4ea6-8f72-836c0a0afcc5 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Language models are few-shot learners,
Reference 6
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Observation c51d0720-7022-4ba3-9753-e1b8917f5eef · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis A Survey of LLM-based Agents in Medicine: How far are we from Baymax?
Reference 7
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Observation a19daf3f-716c-407e-b2eb-121ba8417a96 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis React: Synergizing reasoning and acting in language models,
Reference 8
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Observation f263b19c-73b8-425f-9b11-2d049d2de371 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey
Reference 9
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Observation 80a498c1-99fb-49de-86f5-9821c324eab4 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis RULER: What's the Real Context Size of Your Long-Context Language Models?
Reference 10
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Observation 62f12fd2-76c9-48dd-a6a3-28a7d5060b78 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Llm-based multi-agent systems for software engineering: Literature review, vision, and the road ahead,
Reference 11
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Observation 20bbfa24-df0c-48e9-aac7-d1647c606a72 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis AgentBench: Evaluating LLMs as Agents
Reference 12
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Observation fd68cfc9-dd3e-4d2e-8c0c-fcffebc3e307 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Multi-Agent Computer Use
Reference 13
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Observation 2bfec0e4-c6b7-426c-8bc2-72088449f808 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Agentverse: Facilitating multi- agent collaboration and exploring emergent behaviors,
Reference 14
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Observation 15a24ff5-c917-48cf-9dff-9836088178c3 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Large Language Model based Multi-Agents: A Survey of Progress and Challenges
Reference 15
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Observation bd45433e-4db6-4168-af10-b8c692d447c4 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Camel: Communicative agents for
Reference 16
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Observation b37e1cda-3b41-4cd6-aefc-0128dc6223e1 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Why Do Multi-Agent LLM Systems Fail?
Reference 17
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Observation 5c8029c5-22a4-44bf-9223-39225bdc84b2 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis A survey on llm- based multi-agent systems: workflow, infrastructure, and challenges,
Reference 18
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Observation fc0e0524-4302-45a8-b6e0-e3b1bcca1cc3 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis LLM Multi-Agent Systems: Challenges and Open Problems
Reference 19
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Observation 8da7be4f-f0b2-4a65-b78b-e5b743c640e2 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems
Reference 20
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Observation 9779310d-e17f-423c-8024-0f186453e64d · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Stay Focused: Problem Drift in Multi-Agent Debate
Reference 21
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Observation 0b79eca8-0778-4d95-989a-2724a4b7ff04 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Metagpt: Meta programming for a multi-agent collaborative framework,
Reference 22
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Observation b1c600ea-2531-4de9-985c-a6ce2037ffbd · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Scaling Large Language Model-based Multi-Agent Collaboration
Reference 23
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Observation 6237939f-f762-4e6b-b027-2927da63a624 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
Reference 24
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Observation 6a188414-cacf-485d-84b6-3701a9916c98 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis A survey on large language model based autonomous agents,
Reference 25
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Observation 2e6612ce-fad9-4db1-9d87-a47406d236d9 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Reflex- ion: Language agents with verbal reinforcement learning,
Reference 26
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Observation cb8cc384-fe1f-4fb3-afed-98d4641c2d54 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents
Reference 27
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Observation c139b93d-c94a-4454-9d86-11e9f648e797 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Improving factuality and reasoning in language models through multiagent debate,
Reference 28
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Observation 3a21ca0d-b771-4e36-abc2-007d68a744bc · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Teaching Large Language Models to Self-Debug
Reference 29
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Observation 57485fce-cbaa-45ea-8c3a-8d378dc39d42 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Demystifying llm-based software engineering agents,
Reference 30
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Observation 1e575b48-0dd7-4c42-97d5-422229968569 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation
Reference 31
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Observation 0420d70c-8d4d-4a52-8532-c35ed85c9052 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Chatdev: Communicative agents for software development,
Reference 32
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Observation a635a9ea-5612-4c40-ad32-d409c7ef9dce · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Agilecoder: Dynamic collaborative agents for software development based on agile methodology,
Reference 33
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Observation 8cc21d88-a093-4869-b050-2d7e7bc952ac · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Swe-agent: Agent-computer interfaces enable automated software engineering,
Reference 34
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Observation 55809f9f-bcf1-4cdd-baa4-14d114b7ec6f · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis (2025) Claude code
Reference 35
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Observation c9e9744f-2e19-4b44-9eda-536dcff6d351 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis (2025) Openai codex
Reference 36
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Observation 466459d4-cfed-4059-9886-418ef4cf9a2d · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Literature Review Of Multi-Agent Debate For Problem-Solving
Reference 37
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Observation 3c7a1ddf-beac-4756-8ce8-3f7fb829fb9a · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Groupdebate: Enhancing the efficiency of multi-agent debate using group discussion,
Reference 38
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Observation 45ebb52f-1890-4169-82ce-783e1a087a1e · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Auto-scaling llm-based multi-agent systems through dynamic integration of agents,
Reference 39
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Observation 944e5dcc-30ed-48cf-8052-4832bfa119dc · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis AI Agents That Matter
Reference 40
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Observation b4c25bdc-e553-45b3-85b1-68bb0016af86 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Unresolved cited work
Reference 41
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Observation 09ef839a-99e3-48e9-97c2-494e29cbaf31 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Embodied LLM Agents Learn to Cooperate in Organized Teams
Reference 42
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Observation 61eb8118-72e0-4648-bf01-7cf3b139c214 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Large language models for software engi- neering: A systematic literature review,
Reference 43
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Observation 2e7435e3-e9fc-44f2-a0e0-d3f21335a793 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Reference 44
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Observation f7d4a443-586e-4c87-b0e0-671a8443feda · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Tptu: large language model-based ai agents for task planning and tool usage,
Reference 45
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Observation bb94e806-c07c-4295-92c2-f09d762e4227 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions
Reference 46
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Observation cf16e78b-3963-4764-8365-f2cfcda66f91 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis POSIX: A Prompt Sensitivity Index For Large Language Models
Reference 47
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Observation a1e5a246-d645-4074-82a9-5a717ea32dce · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Large language models are zero-shot reasoners,
Reference 48
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Observation 4bc6da7d-b686-462e-9748-47a12e287bf8 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Chain-of-thought prompting elicits reasoning in large language models,
Reference 49
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Observation 981c8cfc-d218-4370-99e6-77be15ea3dff · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis (2025) Gpt-5 system card
Reference 50
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Observation 7feada19-25bf-4cd7-a991-c5c05c76f185 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Large language models are not fair evaluators,
Reference 51
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Observation a6ed5cef-c9fc-4a97-890b-ea09fa25d4f7 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis When Agents Disagree With Themselves: Behavioral Consistency as an Uncertainty Signal for LLM Agents
Reference 52
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Observation b635390e-3ba1-4065-a22d-2b527ea5b805 · outbound
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Mas-prove: Understanding the process verification of multi-agent systems,
Reference 53
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No inbound Pith citation observations are available.