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Paper Citation Record · LEDGER

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis

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.

pith.paper-citation-record.v1
2607.27942 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T22:43:12.227740Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation 15275ded-a024-4293-9878-af99b80fc999 · outbound

This paper cites Learning agents for uncertain environments,.

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

This paper cites A roadmap of agent research and development,.

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

This paper cites The rise and potential of large language model based agents: A survey,.

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

This paper cites KoLA: Carefully Benchmarking World Knowledge of Large Language Models.

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

This paper cites GPT-4 Technical Report.

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

This paper cites Language models are few-shot learners,.

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

This paper cites A Survey of LLM-based Agents in Medicine: How far are we from Baymax?.

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

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

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

This paper cites The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey.

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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source=pdf_text observed=2026-07-31T22:43:12.038187Z digest=sha256:5f4dd56f79354dda51b0306fe36854a208abf6dcf12b4827f96813188d14824d

Observation 80a498c1-99fb-49de-86f5-9821c324eab4 · outbound

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

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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source=pdf_text observed=2026-07-31T22:43:12.043479Z digest=sha256:642fd0010e9c6408b2df0f63c3c3ee4b696cc39f3bebdc279c3fa22cb910b618

Observation 62f12fd2-76c9-48dd-a6a3-28a7d5060b78 · outbound

This paper cites Llm-based multi-agent systems for software engineering: Literature review, vision, and the road ahead,.

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

This paper cites AgentBench: Evaluating LLMs as Agents.

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis AgentBench: Evaluating LLMs as Agents

Reference 12

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source=pdf_text observed=2026-07-31T22:43:12.053261Z digest=sha256:2f6d8390fd749aeb9ccb21c332c3c32a24dd90197077f9f2a71af711a202e99d

Observation fd68cfc9-dd3e-4d2e-8c0c-fcffebc3e307 · outbound

This paper cites Multi-Agent Computer Use.

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Multi-Agent Computer Use

Reference 13

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source=pdf_text observed=2026-07-31T22:43:12.057950Z digest=sha256:ec950d6dcd539bf85b0d509fbb6fcc1fab3fafb66cae2194889ad9001634525d

Observation 2bfec0e4-c6b7-426c-8bc2-72088449f808 · outbound

This paper cites Agentverse: Facilitating multi- agent collaboration and exploring emergent behaviors,.

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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source=pdf_text observed=2026-07-31T22:43:12.062268Z digest=sha256:e7dd30cff8215091efb84e8496b7913f19894855bf3552f4bbf0bf6ae852520d

Observation 15a24ff5-c917-48cf-9dff-9836088178c3 · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

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

This paper cites Camel: Communicative agents for.

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Camel: Communicative agents for

Reference 16

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source=pdf_text observed=2026-07-31T22:43:12.070949Z digest=sha256:83ce56a80584e1d93c2c44e8a058d5a8b69e4ae4448b6633d770816daed2b0d2

Observation b37e1cda-3b41-4cd6-aefc-0128dc6223e1 · outbound

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

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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source=pdf_text observed=2026-07-31T22:43:12.075241Z digest=sha256:712ebe53b86668b2cb689937aeee3653ebf75f431c759ff99d7816b0306b95ae

Observation 5c8029c5-22a4-44bf-9223-39225bdc84b2 · outbound

This paper cites A survey on llm- based multi-agent systems: workflow, infrastructure, and challenges,.

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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source=pdf_text observed=2026-07-31T22:43:12.079631Z digest=sha256:93e58ac4a1d6d0894e93775faa5e78f3fe6725a1a56d2554ca95e81c83ced104

Observation fc0e0524-4302-45a8-b6e0-e3b1bcca1cc3 · outbound

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

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

This paper cites Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems.

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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source=pdf_text observed=2026-07-31T22:43:12.088630Z digest=sha256:6a8992729fc6fd0bcbff78952df6ca863e26e9e26966fdd3d7feff9c9eafdecc

Observation 9779310d-e17f-423c-8024-0f186453e64d · outbound

This paper cites Stay Focused: Problem Drift in Multi-Agent Debate.

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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source=pdf_text observed=2026-07-31T22:43:12.092922Z digest=sha256:b5b4671be75b3c91b9d7277d6af521693d8c0620d3d07c8851d4da569ecb2e78

Observation 0b79eca8-0778-4d95-989a-2724a4b7ff04 · outbound

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

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

This paper cites Scaling Large Language Model-based Multi-Agent Collaboration.

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

This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

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

This paper cites A survey on large language model based autonomous agents,.

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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source=pdf_text observed=2026-07-31T22:43:12.110456Z digest=sha256:4c882b47fb9b40a08eb1caa0fe81962b2f30050f8d9e57c35c38c38f78ff5481

Observation 2e6612ce-fad9-4db1-9d87-a47406d236d9 · outbound

This paper cites Reflex- ion: Language agents with verbal reinforcement learning,.

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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source=pdf_text observed=2026-07-31T22:43:12.114480Z digest=sha256:3c05cfb213914b51d7eb945bedccd9eff36a02765c00f9e6b977d6b0ffc62022

Observation cb8cc384-fe1f-4fb3-afed-98d4641c2d54 · outbound

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

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

This paper cites Improving factuality and reasoning in language models through multiagent debate,.

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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source=pdf_text observed=2026-07-31T22:43:12.123210Z digest=sha256:437268efca0c0113fd29893c9039e254aa7382bba07e3cc0b5f2620b65a8ee5f

Observation 3a21ca0d-b771-4e36-abc2-007d68a744bc · outbound

This paper cites Teaching Large Language Models to Self-Debug.

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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source=pdf_text observed=2026-07-31T22:43:12.127714Z digest=sha256:191487838bf695ef1ba45cf8e0bec8a4024bec22cbed33acf481cd54ff20a4fb

Observation 57485fce-cbaa-45ea-8c3a-8d378dc39d42 · outbound

This paper cites Demystifying llm-based software engineering agents,.

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Demystifying llm-based software engineering agents,

Reference 30

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source=pdf_text observed=2026-07-31T22:43:12.132013Z digest=sha256:17661e1e8bd015049ce0be0d4309369dea12df75cdc5cc3b8b9d315e3c594aaf

Observation 1e575b48-0dd7-4c42-97d5-422229968569 · outbound

This paper cites AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.

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

This paper cites Chatdev: Communicative agents for software development,.

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Chatdev: Communicative agents for software development,

Reference 32

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source=pdf_text observed=2026-07-31T22:43:12.140139Z digest=sha256:f41bbc3ccff824836778bbffc79383db7c31db618bb0243d99dc64bedfe9f8bb

Observation a635a9ea-5612-4c40-ad32-d409c7ef9dce · outbound

This paper cites Agilecoder: Dynamic collaborative agents for software development based on agile methodology,.

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

This paper cites Swe-agent: Agent-computer interfaces enable automated software engineering,.

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

This paper cites (2025) Claude code.

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis (2025) Claude code

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source=pdf_text observed=2026-07-31T22:43:12.152257Z digest=sha256:8fcbdf7df880fcc4f7fa485d6b5630e34c85ec6d8314d686e9c82271db342654

Observation c9e9744f-2e19-4b44-9eda-536dcff6d351 · outbound

This paper cites (2025) Openai codex.

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis (2025) Openai codex

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source=pdf_text observed=2026-07-31T22:43:12.156294Z digest=sha256:2c42315d18bbecf49025f29677baa0094938c63abed3b25e648db7d5a395850a

Observation 466459d4-cfed-4059-9886-418ef4cf9a2d · outbound

This paper cites Literature Review Of Multi-Agent Debate For Problem-Solving.

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

This paper cites Groupdebate: Enhancing the efficiency of multi-agent debate using group discussion,.

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

This paper cites Auto-scaling llm-based multi-agent systems through dynamic integration of agents,.

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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source=pdf_text observed=2026-07-31T22:43:12.168586Z digest=sha256:1169c989603a6fd3ba1c4c7f86666c7397ce9cb8bee2b33b77097e4dd0c13c27

Observation 944e5dcc-30ed-48cf-8052-4832bfa119dc · outbound

This paper cites AI Agents That Matter.

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

This paper cites an unresolved cited work.

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis Unresolved cited work

Reference 41

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source=pdf_text observed=2026-07-31T22:43:12.176597Z digest=sha256:55946d582ed8925f8b152bbdec59d705d7c15673e68bf75452b618f7f5dd777c

Observation 09ef839a-99e3-48e9-97c2-494e29cbaf31 · outbound

This paper cites Embodied LLM Agents Learn to Cooperate in Organized Teams.

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

This paper cites Large language models for software engi- neering: A systematic literature review,.

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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source=pdf_text observed=2026-07-31T22:43:12.184942Z digest=sha256:5511147cfd8d11f30abcd64b3f160697d651fdedf6fcca8ce9c904a22cd7ca9b

Observation 2e7435e3-e9fc-44f2-a0e0-d3f21335a793 · outbound

This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.

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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source=pdf_text observed=2026-07-31T22:43:12.188850Z digest=sha256:fc3ae51b88e6e52c2b919129dc943436db495f7fa240b43a78876d8cf2118d67

Observation f7d4a443-586e-4c87-b0e0-671a8443feda · outbound

This paper cites Tptu: large language model-based ai agents for task planning and tool usage,.

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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source=pdf_text observed=2026-07-31T22:43:12.193207Z digest=sha256:9285bbc341cf3389443d2bbe2076f6c5a28edde254e53912ad70f1da18c36870

Observation bb94e806-c07c-4295-92c2-f09d762e4227 · outbound

This paper cites A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions.

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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source=pdf_text observed=2026-07-31T22:43:12.197432Z digest=sha256:23772a80a3dd909222a1b765c8edb722c091f0ac7668e9d25a6017407c46c41e

Observation cf16e78b-3963-4764-8365-f2cfcda66f91 · outbound

This paper cites POSIX: A Prompt Sensitivity Index For Large Language Models.

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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source=pdf_text observed=2026-07-31T22:43:12.201666Z digest=sha256:6bd59f51d61b59cf6f6af1415e31fb2d2c83b911a5f6649af46740ec39225b69

Observation a1e5a246-d645-4074-82a9-5a717ea32dce · outbound

This paper cites Large language models are zero-shot reasoners,.

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

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

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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source=pdf_text observed=2026-07-31T22:43:12.210244Z digest=sha256:ac9abe93178c4605157efec7212235fb1da51a8343093dd9a43ded6daeb56f3c

Observation 981c8cfc-d218-4370-99e6-77be15ea3dff · outbound

This paper cites (2025) Gpt-5 system card.

Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis (2025) Gpt-5 system card

Reference 50

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source=pdf_text observed=2026-07-31T22:43:12.214431Z digest=sha256:1600abc7b8bba5b8a458729da8477b775bd77d17c57140a3885a72081aae92e3

Observation 7feada19-25bf-4cd7-a991-c5c05c76f185 · outbound

This paper cites Large language models are not fair evaluators,.

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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source=pdf_text observed=2026-07-31T22:43:12.219252Z digest=sha256:e5a40af153483d186949f1a9b428fa21e10b07b31f3743bdc4bc166c4f7e0e63

Observation a6ed5cef-c9fc-4a97-890b-ea09fa25d4f7 · outbound

This paper cites When Agents Disagree With Themselves: Behavioral Consistency as an Uncertainty Signal for LLM Agents.

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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source=pdf_text observed=2026-07-31T22:43:12.223269Z digest=sha256:944293050ad5a391107f4cddcb379ffc51a69800b0f7f9bf85c22af40b11a5eb

Observation b635390e-3ba1-4065-a22d-2b527ea5b805 · outbound

This paper cites Mas-prove: Understanding the process verification of multi-agent systems,.

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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source=pdf_text observed=2026-07-31T22:43:12.227740Z digest=sha256:d90834216fdac52fd67425ebbae2f0c6fb118e064bfca8fd91d82f62828d2233

Pith citing papers

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