Multiagent Systems Papers

SafeFlow: Semantic Information-Flow Control for Blocking Malicious Propagation in Multi-Agent Systems Haowen Dai, Zonghao Ying, Wenfeng Li, Xiangfan Wu, Yisong Xiao, Tianyuan Zhang, Jiaye Lin, Lei Wei, Guangyuan Dong, Xitong Ling, … arxiv.org/abs/2607.25255 [𝚌𝚜.𝙼𝙰 𝚌𝚜.𝙲𝚁]

Agentic AI-enabled discovery across large-scale sleep physiology Rahul Thapa, Umaer Hanif, Robin Guillard, Andreas Brink-Kjaer, Adrien Specht, Matteo Saibene, Magnus Ruud Kjaer, Harrison G. Zhang, Elisabeth Roxane M. Heremans, … arxiv.org/abs/2607.25175 [𝚌𝚜.𝙼𝙰]

Decentralised Consensus Learning Networks: SME Rotation Without Centralised Reward Florin Neagu arxiv.org/abs/2607.24416 [𝚌𝚜.𝙼𝙰]

Moral Hazard in Multi-Agent Language Models Dane Malenfant arxiv.org/abs/2607.23982 [𝚌𝚜.𝙼𝙰 𝚌𝚜.𝙰𝙸] 💬Accepted to the Second Workshop on Social Simulation with LLMS: Fidelity in Applications at COLM 2026

A Comparative Study of MCP and A2A for Inter-Agent Coordination in LLM-Based Systems Ionut Predoaia, Tuong Manh Vu, Konstantinos Barmpis, Dimitris Kolovos, Antonio García-Domínguez arxiv.org/abs/2607.23884 [𝚌𝚜.𝙼𝙰]

MulRobBench: A Decision-Level Benchmark for Safe and Security-Policy-Compliant Multimodal UAV Agents Belal S. Alsinglawi, Weizheng Wang, Junyi Wu, Yi Jiang, Lianhai Lin, Merouane Debbah, Izzat Alsmadi arxiv.org/abs/2607.23870 [𝚌𝚜.𝙼𝙰 𝚌𝚜.𝙰𝙸]

Emergent Behaviour in Financial Markets Omar Inverso, Emilio Tuosto, Dragisa Zunic arxiv.org/abs/2607.23311 [𝚌𝚜.𝙼𝙰] 💬Accepted at ISoLA 2026, Resourceful Engineering of Complex and Autonomous Systems (ReoCAS) track

Spectral Dynamics of Semantic Drift in Clinical Multi-Agent Language Model Networks Amritesh Banerjee arxiv.org/abs/2607.22758 [𝚌𝚜.𝙼𝙰 𝚌𝚜.𝙰𝙸]

Where FactsGo Missing: A LayerwiseTaxonomy and Per-Layer Attribution of Information Omissionin Air-Gapped LLM Agent Pipelines Santhiya Rajan arxiv.org/abs/2607.22448 [𝚌𝚜.𝙼𝙰]

Draining the Energy Commons: Self-Defeating Over-Appropriation as a Coordination Failure in Agentic LLM Collectives Marcantonio Bracale Syrnicov, Federico Pierucci, Matteo Prandi, Marcello Galisai, Piercosma Bisconti, Francesco Giarrusso, … arxiv.org/abs/2607.22188 [𝚌𝚜.𝙼𝙰]

When Language Models Meet NeuroGraphs: Exploring Enhanced Agentic LLM Framework Towards Brain Network Analysis Jiaxing Li, Rui Dong, Muyao Tang, Youyong Kong arxiv.org/abs/2607.22082 [𝚌𝚜.𝙼𝙰]

Reliability-Contagion Feasibility in LLM Multi-Agent Networks Ruiwu Niu, Xincheng Shu, Ying Zhao arxiv.org/abs/2607.21912 [𝚌𝚜.𝙼𝙰]

FedAgentKE: Federated Semantic Knowledge Evolution for Heterogeneous Agents Weihao Li, Jun Bai, Ziyang Song arxiv.org/abs/2607.21361 [𝚌𝚜.𝙼𝙰]

pAI-Econ-claude: A Gated Human-in-the-Loop Multi-Agent Architecture for AI-Assisted Economic Theory Development Chen Zhu, Xiaolu Wang, Weilong Zhang arxiv.org/abs/2607.21268 [𝚌𝚜.𝙼𝙰 𝚌𝚜.𝙰𝙸 𝚎𝚌𝚘𝚗.𝙶𝙽]

Harnessing Disagreement: Detecting Correlated Agreement Blindness in Multi-Agent Triage Shay Seiya McDonnell, Avantika Singh, Quoc-Viet Pham, Vratislav Havlik, Gregory M. P. O'Hare arxiv.org/abs/2607.19899 [𝚌𝚜.𝙼𝙰 𝚌𝚜.𝙻𝙶] 💬Accepted at PAAMS 2026

Dreamer-CPC: Message Learning with World Models for Decentralized Multi-agent Reinforcement Learning Taisuke Takayama, Naoto Yoshida, Tadahiro Taniguchi arxiv.org/abs/2607.19809 [𝚌𝚜.𝙼𝙰 𝚌𝚜.𝙻𝙶]

Not Birds of a Feather: Personality-Based Partner Selection in LLM Agents Tao Wang, Hsiang-Ling Chiu, Chihang Wei, Yang Xiu, Zhonghao Hou arxiv.org/abs/2607.19785 [𝚌𝚜.𝙼𝙰]

Same Game, Different Story: A Minimal Conservative Strategic Robustness Benchmark for Large Language Model Agents Seyed Pouyan Mousavi Davoudi, Alireza Amiri-Margavi, Amin Gholami Davodi, Hamidreza Hasani Balyani, Arshia Gharagozlou arxiv.org/abs/2607.19670 [𝚌𝚜.𝙼𝙰]

CHMAS: A Coupled Hierarchical Framework for Multi-Agent Reinforcement Learning Dongming Wang, Jie Xu, Yanyu Zhang, Wei Ren arxiv.org/abs/2607.19555 [𝚌𝚜.𝙼𝙰]

Strategy-Following Multi-Agent Deep Reinforcement Learning Considering Control Strategies Provided to Other Agents Yamato Takahagi, Gentoku Nakasone, Yoshinari Motokawa, Toshiharu Sugawara arxiv.org/abs/2607.18719 [𝚌𝚜.𝙼𝙰 𝚌𝚜.𝙰𝙸]