Independent

lexarynova@pm.me

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).

Introduction Modern digital infrastructure faces a "Synthetic Noise Deluge" where autonomous signaling cycles consume resources ahead of traditional security layers. This document introduces SAS as a formal model to measure and mitigate this attrition.

Terminology Saturation Agentic Stridential (SAS): A measurable state where the ratio of autonomous events to human events exceeds a stability threshold. Structural Legitimacy: The property of a signal being causally linked to a human authority.

RL0: Admission State Machine RL0 MUST implement the following deterministic sequence: DROP 2. If signature invalid -> DROP 3. If IRP(S) < 1.0 -> REJECT 4. Else -> ADMIT ]]>

Sovereignty Metric (IRP-189) Derived from NIST OLIR IRP-189, the admissibility is defined as: R_sov = sigma_BIT * VC_ctx * Omega_env. Only signals where R_sov = 1 are admitted.

Security Considerations RL0 prevents resource exhaustion by rejecting unauthorized signals in constant time (O(1)), protecting the compute boundary from machine-scale floods.

IANA Considerations This document requests the provisional registration of the "Reality-Token" HTTP header field.

References Normative References Informative References NIST