Saturation Agentic Stridential (SAS): The Synthetic Noise Deluge of Autonomous Agents
draft-feria-sas-00
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| Document | Type | Active Internet-Draft (individual) | |
|---|---|---|---|
| Author | Pablo Octavio Feria Hernández | ||
| Last updated | 2026-03-30 | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | I-D Exists | |
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draft-feria-sas-00
Network Working Group P. Feria Hernandez
Internet-Draft Independent
Intended status: Informational 30 March 2026
Expires: 1 October 2026
Saturation Agentic Stridential (SAS): The Synthetic Noise Deluge of
Autonomous Agents
draft-feria-sas-00
Abstract
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).
Status of This Memo
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Table of Contents
1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . 2
2. Terminology . . . . . . . . . . . . . . . . . . . . . . . . . 2
3. RL0: Admission State Machine . . . . . . . . . . . . . . . . 2
4. Sovereignty Metric (IRP-189) . . . . . . . . . . . . . . . . 2
5. Security Considerations . . . . . . . . . . . . . . . . . . . 3
6. IANA Considerations . . . . . . . . . . . . . . . . . . . . . 3
7. References . . . . . . . . . . . . . . . . . . . . . . . . . 3
7.1. Normative References . . . . . . . . . . . . . . . . . . 3
7.2. Informative References . . . . . . . . . . . . . . . . . 3
Author's Address . . . . . . . . . . . . . . . . . . . . . . . . 3
1. 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.
2. 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.
3. RL0: Admission State Machine
RL0 MUST implement the following deterministic sequence:
1. If RT absent -> DROP
2. If signature invalid -> DROP
3. If IRP(S) < 1.0 -> REJECT
4. Else -> ADMIT
4. 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.
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5. Security Considerations
RL0 prevents resource exhaustion by rejecting unauthorized signals in
constant time (O(1)), protecting the compute boundary from machine-
scale floods.
6. IANA Considerations
This document requests the provisional registration of the "Reality-
Token" HTTP header field.
7. References
7.1. Normative References
[RFC2119] Bradner, S., "Key words for use in RFCs to Indicate
Requirement Levels", March 1997,
<https://www.rfc-editor.org/info/rfc2119>.
7.2. Informative References
[NIST-IRP-189]
NIST, "NIST CSF OLIR Catalog: Invariant Reality Prism
(IRP-189)", 2026.
Author's Address
Pablo Octavio Feria Hernandez
Independent
Email: lexarynova@pm.me
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