AI RESEARCH
Sovereign Agentic Loops: Decoupling AI Reasoning from Execution in Real-World Systems
arXiv CS.LG
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ArXi:2604.22136v1 Announce Type: cross Large language model (LLM) agents increasingly issue API calls that mutate real systems, yet many current architectures pass stochastic model outputs directly to execution layers. We argue that this coupling creates a safety risk because model correctness, context awareness, and alignment cannot be assumed at execution time. We