Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems | Paper Citation Record

Observation 43b86d2e-e3b5-49ff-a76c-026f32f4f1c9 · outbound

This paper cites Computer Science and Information Systems 8(2): 255-298, 2011.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Computer Science and Information Systems 8(2): 255-298, 2011

Reference 1

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Observation 19e7e845-8760-4b47-a39c-da300cfb6003 · outbound

This paper cites Rule-Based Distributed and Agent Systems.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Rule-Based Distributed and Agent Systems

Reference 2

Resolution: verified exact; doi, observed 2026-08-15T16:40:31.193258Z

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Observation 84558c56-e0b7-4304-a1e4-25a45fe14cb6 · outbound

This paper cites Large Language Model Agent: A Survey on Methodology, Applications and Challenges.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Large Language Model Agent: A Survey on Methodology, Applications and Challenges

Reference 3

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Observation 016b0620-a1da-481d-bab5-95e5886de403 · outbound

This paper cites The Rise and Potential of Large Language Model Based Agents: A Survey.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems The Rise and Potential of Large Language Model Based Agents: A Survey

Reference 4

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Observation 05a6f353-f83b-41e7-b7b6-37a3da309a8f · outbound

This paper cites Zhang, Elizabeth Black, Michael Luck, Philip Torr, and Michael Wooldridge.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Zhang, Elizabeth Black, Michael Luck, Philip Torr, and Michael Wooldridge

Reference 5

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Observation 8edb2671-907b-4f23-9ddb-8f0819346c58 · outbound

This paper cites Agentic AI and Multiagentic: Are We Reinventing the Wheel?.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Agentic AI and Multiagentic: Are We Reinventing the Wheel?

Reference 6

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Observation 6805be34-a280-488f-adaa-40dd00e1bb00 · outbound

This paper cites Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Game Theory Meets Large Language Models: A Systematic Survey with Taxonomy and New Frontiers

Reference 7

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Observation 57bd2a33-157d-4eb6-a7d1-ea3e12b1151e · outbound

This paper cites A Survey of Reasoning with Foundation Models.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems A Survey of Reasoning with Foundation Models

Reference 8

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Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Unresolved cited work

Reference 9

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Observation 3be4bd75-fd9d-44f8-9ec8-002ba32018ff · outbound

This paper cites White, Doug Burger, Chi Wang, AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation, COLM 2024, LLM Agents Workshop ICLR’24, https://github.com/microsoft/autogen.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems White, Doug Burger, Chi Wang, AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation, COLM 2024, LLM Agents Workshop ICLR’24, https://github.com/microsoft/autogen

Reference 10

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Observation 6ff7df82-3cbe-484d-90b9-56c24bbe508e · outbound

This paper cites an unresolved cited work.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Unresolved cited work

Reference 11

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Observation 194eb0e7-ce82-4ad5-b2d2-ac92844c745e · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems ChatDev: Communicative Agents for Software Development

Reference 12

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Observation 1708a9c4-8e32-4b62-8efc-7479e95884e1 · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Generative Agents: Interactive Simulacra of Human Behavior

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T16:40:30.424818Z

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Observation b7add6cd-ff69-4c2c-9d43-5b565afc9281 · outbound

This paper cites User Behavior Simulation with Large Language Model -based Agents, ACM Transactions on Information Systems, 43 (2), 55, 1-37, 2025.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems User Behavior Simulation with Large Language Model -based Agents, ACM Transactions on Information Systems, 43 (2), 55, 1-37, 2025

Reference 14

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This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems ReAct: Synergizing Reasoning and Acting in Language Models

Reference 15

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Observation ea42cff1-c84f-4ff3-a9b0-7c7aae2d43f3 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 16

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Observation 2a7592dc-e10e-4bee-b715-c78233fe74a6 · outbound

This paper cites Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory

Reference 17

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Observation 58d9688c-89e6-4708-90bc-8076b249be7a · outbound

This paper cites ExpeL: LLM Agents Are Experiential Learners.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems ExpeL: LLM Agents Are Experiential Learners

Reference 18

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Observation e8a4907a-702e-4261-8b3d-80f420475dcc · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 19

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Observation 9b0582d6-350a-4616-8def-af66fc108304 · outbound

This paper cites TPTU: Large Language Model -based AI Agents for Task Planning and Tool Usage, arXiv, 2308.03427, 2023, https://doi.org/10.48550/arXiv.2308.03427.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems TPTU: Large Language Model -based AI Agents for Task Planning and Tool Usage, arXiv, 2308.03427, 2023, https://doi.org/10.48550/arXiv.2308.03427

Reference 20

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Observation 2fc9f3d0-d6a2-4b52-927f-9154bd96a280 · outbound

This paper cites OpenAgents: An Open Platform for Language Agents in the Wild.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems OpenAgents: An Open Platform for Language Agents in the Wild

Reference 21

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Observation 7900a154-737b-42aa-8e04-82be352a2b99 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems MemGPT: Towards LLMs as Operating Systems

Reference 22

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Observation 766b990c-50e8-49ac-8b3b-12025653415b · outbound

This paper cites Griffiths, Yuan Cao, and Karthik Narasimhan.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Griffiths, Yuan Cao, and Karthik Narasimhan

Reference 23

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Observation c83654fb-0a8e-48e9-9161-e685c229ef7b · outbound

This paper cites GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T16:40:30.468470Z

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Observation b43137fe-d2d1-414a-85b5-d4885ea14a3e · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 25

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Observation 8654c939-f1ea-452b-92fc-70b0e9a4686d · outbound

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Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Unresolved cited work

Reference 26

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Observation 9316f56e-c102-47f1-ad51-6cf7b94641f3 · outbound

This paper cites Foundation Models for Autonomous Driving System: An Initial Roadmap.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Foundation Models for Autonomous Driving System: An Initial Roadmap

Reference 28

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Observation 4365739b-003f-4dcd-99c7-42f641f3d7b0 · outbound

This paper cites AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning

Reference 29

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Observation 1f697b7e-155a-43a6-8cf9-3a838fa95dcc · outbound

This paper cites KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents

Reference 30

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Observation 23a3c71a-bcd1-4813-88d2-1ffad51f2acb · outbound

This paper cites and Chenglin Wu.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems and Chenglin Wu

Reference 31

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Observation daa4b49a-4892-4a75-bbb1-fc7e6b8bbf5b · outbound

This paper cites Rao and Michael P.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Rao and Michael P

Reference 32

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Observation 7144b3c0-901d-4e67-9cba-bd872549fbeb · outbound

This paper cites Bordini, Jomi F.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Bordini, Jomi F

Reference 33

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Observation b743c611-34c4-4eab-b1d0-3a7cc96e54ce · outbound

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Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Unresolved cited work

Reference 34

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Observation b0ab0293-846d-4103-85a5-aa1984cce527 · outbound

This paper cites ChatBDI: Think BDI, talk LLM.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems ChatBDI: Think BDI, talk LLM

Reference 35

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Observation b1d2b9bf-1244-4514-8eed-367b8592364e · outbound

This paper cites Does the chimpanzee have a theory of mind? Behavioral and Brain Sciences, 1(4), 515-526, 1978.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Does the chimpanzee have a theory of mind? Behavioral and Brain Sciences, 1(4), 515-526, 1978

Reference 36

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Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Unresolved cited work

Reference 37

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Observation 63e51d79-fb51-4eb1-8b00-dbbfb487c6b4 · outbound

This paper cites LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Reference 38

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Observation 94f410aa-0309-43c3-9f4c-492695952a4a · outbound

This paper cites Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection

Reference 39

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This paper cites Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection

Reference 40

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Observation c0710a8d-b1b8-4212-bc95-25c46a0c7104 · outbound

This paper cites An Introduction to MultiAgent Systems (2nd ed.), Wiley, 2009.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems An Introduction to MultiAgent Systems (2nd ed.), Wiley, 2009

Reference 41

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Observation 0c5fe38d-8f4a-4b93-9609-ffb5eb9786f0 · outbound

This paper cites Ondula, Daniele Orner, Nick Mumero Mwangi, and Casandra Rusti.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Ondula, Daniele Orner, Nick Mumero Mwangi, and Casandra Rusti

Reference 42

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Observation 8db7fb58-b4d4-45d0-90c9-0f58ae640a70 · outbound

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Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Unresolved cited work

Reference 43

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This paper cites Searle Speech Acts: An Essay in the Philosophy of Language.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Searle Speech Acts: An Essay in the Philosophy of Language

Reference 44

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Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems ProAgent: Building Proactive Cooperative Agents with Large Language Models

Reference 45

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Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems LLM Agents for Bargaining with Utility-based Feedback

Reference 46

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Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems A Survey of AI Agent Protocols

Reference 47

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Observation 8587c3d7-b36e-4b43-bf57-a9973fc22ddd · outbound

This paper cites A Scalable Communication Protocol for Networks of Large Language Models.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems A Scalable Communication Protocol for Networks of Large Language Models

Reference 48

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Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Human-Centric Foundation Models: Perception, Generation and Agentic Modeling

Reference 49

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Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Multi -agent systems powered by large language models: applications in swarm intelligence

Reference 50

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Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Evolution of Cooperation in LLM -Agent Societies: A Preliminary Study Using Different Punishment Strategies

Reference 51

Resolution: verified exact; doi, observed 2026-08-15T16:40:30.832668Z

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Observation db29f933-0d99-48f6-bf57-c027373283fe · outbound

This paper cites Emergent social conventions and collective bias in LLM populations.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Emergent social conventions and collective bias in LLM populations

Reference 52

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Observation 532ee9d0-511f-4814-b31c-a0ffd2b8a0ea · outbound

This paper cites Agent AI: Surveying the Horizons of Multimodal Interaction.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Agent AI: Surveying the Horizons of Multimodal Interaction

Reference 53

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This paper cites (Im)possibility of Automated Hallucination Detection in Large Language Models.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems (Im)possibility of Automated Hallucination Detection in Large Language Models

Reference 54

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Observation c53d3ec5-74a8-487c-8523-b6438f16a857 · outbound

This paper cites Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Reference 55

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Observation 31637fc9-434d-4d6d-9fc9-c2296a0fa7af · outbound

This paper cites The Prompt Report: A Systematic Survey of Prompt Engineering Techniques.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 56

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Observation e4f33ba3-2dc0-4cb1-a80c-5e221725e945 · outbound

This paper cites Overview of Software Agent Platforms Available in 2023.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Overview of Software Agent Platforms Available in 2023

Reference 57

Resolution: verified exact; doi, observed 2026-08-15T16:40:30.751311Z

Source-reported events for the cited work

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Observation 7fbe0b58-b88b-491d-a987-1e324c466681 · outbound

This paper cites Comparison of Multi -Agent Platform Usability for Industrial-Grade Applications.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Comparison of Multi -Agent Platform Usability for Industrial-Grade Applications

Reference 58

Resolution: verified exact; doi, observed 2026-08-15T16:40:30.739696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52d72777-9cd3-40cf-bdcc-0eafc657af65 · outbound

This paper cites an unresolved cited work.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:40:31.645055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55b67e33-1d73-43af-a817-e080db1775a2 · outbound

This paper cites Scientific Programming , 13, 973963, 2005.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Scientific Programming , 13, 973963, 2005

Reference 60

Resolution: verified exact; doi, observed 2026-08-15T16:40:30.680757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d530814d-4bda-4883-9318-11f7c610a184 · outbound

This paper cites an unresolved cited work.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T16:40:30.591558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 021f7761-73e8-43f4-8beb-f6ea4f3bd717 · outbound

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Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T16:40:30.594794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f66b83c6-4914-4661-a557-57ddbfae18f3 · outbound

This paper cites Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T16:40:30.598306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95f7c1ce-215f-4af5-a410-811e6af722e2 · outbound

This paper cites Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Comment on The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T16:40:30.601823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c6e16db-b6bd-4795-8d7e-7ff4ea1a0353 · outbound

This paper cites an unresolved cited work.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-15T16:40:31.623341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dfbb2705-19ed-4747-b05d-f73a0d2a0d29 · outbound

This paper cites CArtAgO: A Framework for Prototyping Artifact-Based Environments in MAS.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems CArtAgO: A Framework for Prototyping Artifact-Based Environments in MAS

Reference 67

Resolution: malformed identifier; no resolver link, observed 2026-08-15T16:40:30.612765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 390bd1da-0145-4dea-b73d-1d73ab9a1e46 · outbound

This paper cites Bordini, Jomi F.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Bordini, Jomi F

Reference 68

Resolution: verified exact; doi, observed 2026-08-15T16:40:30.663466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b810208-1660-4dd5-a4bf-5b03fa670f08 · outbound

This paper cites Medium, 2024.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Medium, 2024

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T16:40:31.634231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd5f4918-4adc-4d06-9901-9a834737e427 · outbound

This paper cites an unresolved cited work.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Unresolved cited work

Reference 70

Resolution: malformed identifier; no resolver link, observed 2026-08-15T16:40:30.622773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f233df5-2697-4085-b4af-8b1aa7229282 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems MemGPT: Towards LLMs as Operating Systems

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T16:40:30.461629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a661ec6-3d39-4ad5-8f66-3235e3e8e6b6 · outbound

This paper cites Reinforcement Learning from Human Feedback.

Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent Systems Reinforcement Learning from Human Feedback

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T16:40:30.482513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers