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Multiagent Systems
The newest papers in Multiagent Systems that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
829 papers, from 4 September 2026 to 5 November 2026: 829 arXiv preprints.
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Newest papers
Take It From Here: Evaluating Coding Agents On Project Takeover
Coding agents increasingly collaborate on long-term projects.Design of Multi-UAV Cooperative Deep Semantic Autoencoders for Communication Networks
Driven by the rapid development of the low-altitude economy, Uncrewed Aerial Vehicle (UAV) networks have become increasingly important for executing tasks such as search, rescue, and monitoring.Designing with Cinematic Language: An Intent-Driven Approach to Human-AI Video Clip Co-Creation
Generative video models have made video creation more accessible, yet creators still struggle to translate high-level narrative intentions into coherent cinematic expressions.The Last Mile to the Real World: Agent-Native Primitives as Reusable Building Blocks for Solving Real-World Tasks
How can an agent handle a real-world task end to end?Signed but Not Safe: Requirement Integrity in Multi-Agent LLM Handoffs
Enterprise AI agents increasingly split a user's request across subagents and merge their results, and each handoff can summarize away, alter or ignore a requirement.A Bilevel Neurodynamic Approach for Distributed SCAD-Regularized Sparse Least Squares
This paper proposes a bilevel particle swarm optimization (PSO)-neurodynamic method for solving the distributed sparse least-squares problem regularized by the smoothly clipped absolute deviation…ReferClaw: Disambiguating User Intent for Egocentric Assistance
Users of egocentric AI assistants often ask short, ambiguous questions whose intended referents cannot be uniquely resolved from video and dialogue history.SEER: A Scalable Event-Driven Runtime for Parallel Execution of Multi-Agent Reinforcement Learning Environments
Multi-agent reinforcement learning (MARL) is increasingly used in systems where many entities interact in a shared environment.Trilemma: How Agents choose between Honesty, Confidentiality, and Task Completion
Personal AI agents often act on underspecified instructions and draw on context such as their user's messages and calendar to decide how to proceed.Radio-to-Pose Information for Gauge-Drift Correction in Cooperative Localization
Cooperative localization uses odometry and inter-robot measurements to estimate the motion of a robot team.SCALE: Real-Time Latent Communication for Cyber-Physical Agents
Latent communication enables agents to collaborate efficiently by directly exchanging intermediate model representations rather than raw sensor data or text messages.Corralling AI Risks with Grassroots Contracts
AI's inflection point is a fountain of alarming risks.Signed, Sealed, Leaked: Trust Beyond Signature for MCP Toolchains
AI agents rely on third-party tools, such as Model Context Protocol (MCP) servers, whose publishers can be authenticated and whose execution can be restricted by runtime security policies.Airlock: Bounding the Multi-Agent Blast Radius via Selective Online Containment
When multi-agent systems act on the external world, a single agent's faulty output can spread across tasks before detection, creating a system-wide blast radius.A Framework for Context Enrichment and Selective Robustness in LLM Social Agents
Researchers use large language models as agents in social simulations, where agents are prompted with observations and background information intended to shape their actions.The Two-Ledger Model: Transaction-Grain Cost Accounting for Multi-Agent AI Systems Across Clouds, Models, and Systems of Record
Enterprises run business transactions through multi-agent AI systems spanning clouds, large language models (LLMs), orchestration harnesses, and systems of record.Authorization Propagation in Agent2Agent Systems: An Experimental Security Evaluation of Multi-Hop Delegation
Delegated Agent2Agent (A2A) workflows create a security problem when the agent sending a request is different from the principal from which the authority originated.Cooperative Multi-Agent Reinforcement Learning via Epigraph-Form Guided Exploration
Discovering cooperative behavior in multi-agent reinforcement learning (MARL) is challenging due to the combinatorial complexity of joint state-action spaces, which hinders the emergence of…Polynomial-Time Computation of Extensive-Form Proper Equilibria in Two-Player Zero-Sum Games
We give a deterministic polynomial-time algorithm for computing an exact extensive-form proper equilibrium in a finite two-player zero-sum extensive-form game with perfect recall and rational data.Regulating Autonomous Mobility-on-Demand Operators with Fixed and Adaptive Penalties: A Multi-Agent Reinforcement Learning Approach
Profit-maximizing Autonomous Mobility-on-Demand (AMoD) operators may exploit consumer surplus through excessive prices and underserve less profitable regions by relocating vehicles away from them.