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cs.MA2026
Organizational Control Layer: Governance Infrastructure at the Execution Boundary of LLM Agent Systems
Tianyu Shi, Yang Mo, Yiou Liu +6
LLM-based agents are increasingly deployed in workflows where generated outputs may trigger state-changing actions, such as price offers, refunds, payments, or tool calls. This cre…
cs.MA2025
Gradientsys: A Multi-Agent LLM Scheduler with ReAct Orchestration
Xinyuan Song, Zeyu Wang, Siyi Wu +2
We present Gradientsys, a next-generation multi-agent scheduling framework that coordinates diverse specialized AI agents using a typed Model-Context Protocol (MCP) and a ReAct-bas…