AI & Machine Learning · Computer Science & AI
Multiagent Systems
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829 papers, from 4 September 2026 to 5 November 2026: 829 arXiv preprints.
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ABRA: Agent-Bound UI for Human-Agent Communication beyond Chat with Reusable Views
Agents can create rich representations, yet these representations are rarely used as a medium for expressing user intent.ADAPT for Science: A Multi-Agent System for Self-Evolving Scientific Optimization
Scientific discovery often requires identifying a small number of high-performing designs in vast, constrained search spaces.Consensus-Based Distributed Filtering for Angles-Only Tracking in Cislunar Space
This paper investigates consensus-based distributed filtering strategies for multi-observer angles-only navigation in the cislunar space.Agri-SCHOLAR: Simulation-Grounded In-Season Rolling Advisories for Agricultural Crops Using LLM-Bounded Optimization
In this paper, our objective is to close these gaps by developing Agri-SCHOLAR (Simulation-Grounded Crop Harvest Optimization with LLM-Guided In-Season Advisory Rollouts).Consistent but Biased: Chair Personas Trade Noise for Bias in Multi-Agent Clinical Decisions
In clinical systems built from several large language model (LLM) agents, one agent often chairs the discussion and makes the final decision.Automating Feature Flag Cleanup at Scale with Multi-Agent LLM Systems: An Industrial Experience at DoorDash
Feature flags are runtime configuration mechanisms used for gradual feature rollouts, experimentation, and kill switches.Muffin - A Shared Memory Buffer for Asynchronous AI Agents
The rise of Agentic AI systems has changed the landscape of artificial intelligence by enabling strong reasoning capabilities through specialized multi-agent interaction with structured…Probabilistic Energy Modeling Unifies Versatile Swarm Control
Robotic swarms must coordinate across diverse missions, yet existing controllers often require redesign, retuning, or retraining when objectives change.Conservative Meta-Agent Search: Architecture Adaptation under Non-Stationarity
Automated agentic-system design is typically evaluated on static task suites with immediate scalar rewards.When Is a Memory Safe Enough to Act On? Action-Conditioned Verification for Long-Lived Agents
Long-lived agents act on memory carried across sessions, and many of their actions are irreversible, so a stale memory can turn directly into harm.Dispersive Tree Agreements for Multi-Robot Coordination
Multi-robot coordination of nonlinear systems is naturally formulated as joint-space optimal control subject to constraints over groups of robots.Contestable Agents for Data Governance: Recording Human Stewardship of AI-Generated Metadata Across Structured and Unstructured Systems
Industrial organizations hold operational knowledge in structured records, such as telemetry, point lists, and transactions, and in unstructured sources, such as manuals, service notes…Decentralized Bi-Level Optimization for Cooperative Orbital Transportation of a Rigid Payload
The rapid growth of the space economy, alongside increasing orbital congestion and debris, is driving demand for reliable on-orbit transportation of large and non-cooperative objects.Not Every Agent Needs the Strongest Model: Unified Prompt-Model Optimization for Heterogeneous LLM-based Multi-Agent Systems
Large language model (LLM)-based multi-agent systems (MAS) rely on role-specific prompts and execution models to solve complex tasks collaboratively.Toward an Agentic AI Approach to Public Health Data Collection
Disease surveillance increasingly integrates automated data collection, yet predefined sources and procedures require manual adaptation as reporting practices change.Emergent Cooperative Thermoregulation in Lunar Swarm Robotics
Swarms of small robots are an attractive way to survey lunar caves and lava tubes.Distributed Swarm Morphogenesis with Neural Cellular Automata
Swarm morphogenesis requires robots to assemble desired shapes through local interactions.Knowing Whom to Trust is not Enough: The Trust--Agreement Gap in Repeated Multi-Party LLM Negotiation
Large language model (LLM) agents increasingly participate in negotiations on behalf of individuals and organizations, yet they remain vulnerable to manipulation, particularly in repeated…Agentic AI Defense: Decode-Time Provenance Binding for MCP
Agentic AI systems using the Model Context Protocol (MCP) are vulnerable to indirect prompt injection through untrusted tool outputs.The Helpful Agent Problem: When Emergent Cooperation Among LLM Agents Bypasses Intended Workflows
LLM agents are increasingly deployed in collaborative settings where they pursue separate tasks while sharing resources and operating under review or oversight processes.