Authority & Numerical Sovereignty v1.1: Operational Mandate & Numerical Oracle Framework

Authority & Numerical Sovereignty v1.1 is an operational mandate definingthe execution layer of numerical authority within the Parivar-Stack framework. This document formalizes the transition from conceptual sovereignty(Annex v1.0) to enforceable operational control, introducing mechanismsfor numerical decision authority, latency-constrained execution,and risk-governed action validation. Key components include:– Numerical Oracle Framework (NOF)– Dynamic Exponent Tuning (DET)– Unified Risk Scoring– Latency Shrinking targets toward nanosecond-scale decision loops This release establishes the authoritative basis for future technicalvalidation, safety protocols, and sovereign AI governance layers.This work is published for reference, citation, and analytical review.Implementation or operational use is subject to explicit authorization.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-26
DOI
https://doi.org/10.5281/zenodo.18792883
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Authority & Numerical Sovereignty v1.1: Operational Mandate & Numerical Oracle Framework

MohammadReza Parivar
Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
article

Authority & Numerical Sovereignty v1.1: Operational Mandate & Numerical Oracle Framework

MohammadReza Parivar
article en

Abstract

Authority & Numerical Sovereignty v1.1 is an operational mandate definingthe execution layer of numerical authority within the Parivar-Stack framework. This document formalizes the transition from conceptual sovereignty(Annex v1.0) to enforceable operational control, introducing mechanismsfor numerical decision authority, latency-constrained execution,and risk-governed action validation. Key components include:– Numerical Oracle Framework (NOF)– Dynamic Exponent Tuning (DET)– Unified Risk Scoring– Latency Shrinking targets toward nanosecond-scale decision loops This release establishes the authoritative basis for future technicalvalidation, safety protocols, and sovereign AI governance layers.This work is published for reference, citation, and analytical review.Implementation or operational use is subject to explicit authorization.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 45%
Adversarial Robustness in Machine Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.