Saturation Agentic Stridential (SAS): The Synthetic Noise Deluge of Autonomous Agents

Autonomous computational agents are generating an increasing volume of high-frequency signals that lack human-anchored intent. This condition, termed Saturation Agentic Stridential (SAS), occurs when autonomous event generation dominates the system capacity. This document proposes the Reality Layer (RL) as a deterministic pre- execution admission framework based on the NIST-validated Invariant Reality Prism (IRP-189). Using a binary sovereignty metric (R_sov), RL0 performs O(1) checks via a signed Reality Token (RT).