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1. Download and compress bundle on internet connected machine

   podman run -it --security-opt label=disable -v ./:/app/bundle quay.io/redhatgov/openshift4_mirror:latest     ./openshift_mirror bundle \
     --openshift-version 4.6.3 \
     --platform aws \ 
     --skip-existing \ #  skip downloading content that already exists on disk
     --skip-catalogs \ # This demo assumes operator catalog upload as day two operation.
     --pull-secret '{"auths":{"cloud.openshift.com":{"auth":"b3Blb...' # Mind the literals here. Get pull secret from https://cloud.redhat.com/openshift/install/aws/installer-provisioned
   mkdir ./4.6.3/config
   

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//go:build js && wasm
// +build js,wasm

package main

import (
	"context"
	"io"
	"strings"
	"syscall/js"

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$ /home/codespace/.python/current/bin/python /workspaces/codespaces-jupyter/uor_titanic_survival.py
e_Age * e_Fare = {(1, 2): 1.0}
e_Fare * e_Age = {(1, 2): -1.0}
Coherence norm (should be 0): 0.0
Original Age coeff: 25.0 Fare coeff: 7.25
Rotated Age coeff: 17.67766952966369 Fare coeff: 5.1265241636024665
Coherence norm after rotation: 0.17157287525381
Feature matrix:
      b1     b2  b3  b4   b5   b6   b7   b8   b9  b10  b11  b12  b13  b14
0  22.0   7.25   1   0  3.0  1.0  3.0  0.0  0.0  1.0  1.0  0.0  0.0  1.0

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(**************************************************************************
 * 1-axioms.v
 *
 * A Coq formalization of the axiomatic foundation presented in
 * "Axiomatic Foundation of the Prime Framework" (1-axioms.pdf).
 *
 * This file sets up the basic axioms: a smooth reference manifold with an
 * associated fiber algebra equipped with a G-invariant inner product. It then
 * proves that every abstract object (e.g. a natural number) has a unique
 * canonical embedding (i.e. a unique minimal‐norm representation), up to the

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Prime Model with Periodic Table

Abstract

This document presents a comprehensive mapping from the Prime Axioms to the emergence of atomic, molecular, and higher‐order structures. In the Prime Framework, natural numbers are intrinsically embedded in local fiber algebras, leading to the definition of intrinsic primes and their unique factorization. These fundamental constructs give rise to a quantum periodic table—a structured “table of quanta” that not only reproduces the elements of the Standard Model but also extends it with new emergent phenomena. While insights from quantum biology (e.g. coherence and self‐organization) inspire this approach, they serve solely as an inspirational framing rather than a formal component of the model.

1. Introduction

The Prime Framework unifies geometry, algebra, and symmetry to construct physical reality from first principles. Starting with a smooth reference manifold and local algebraic fibers (typically Clifford algebras), the framework defines numbers through an

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Prime Framework Implementation Specification

Pure JavaScript Implementation of the Prime Framework Quantum Emulator

1. Core Architecture

The implementation will adhere strictly to the four fundamental Prime Framework axioms:

1.1 Reference Manifold

• Implement a smooth manifold M with metric tensor g

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OCI Package Resolution System for Internet of Things (IoT-PRS)

1. Abstract

This document defines the OCI Package Resolution System for Internet of Things (IoT-PRS), an extension of the OCI artifact model that transforms registries into a stateful message bus for IoT operations and management. By employing a canonical encoding approach to represent artifacts in a consistent, immutable format, IoT-PRS enables reliable content resolution, schema discovery, and decentralized state mutation. This specification outlines how IoT devices download system images, subscribe to state changes, and perform logic operations based on declarative state mutations—all through existing OCI distribution mechanisms.

2. Introduction

The IoT-PRS specification provides detailed guidance for implementors who wish to build an end-to-end, cloud native IoT management solution using OCI registries as stateful message buses. In this model, every artifact—whether it is a system image, device configuration, or sensor data record—

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Prime Kernel Evolutionary Ontology Specification

Version: 1.0.0
Status: Reference Implementation
Author: The UOR Foundation
Date: March 2025

1. Foundational Principles

The Prime Kernel is the foundational Evolutionary Ontology that implements the four axioms of the Prime Framework, providing core infrastructure for all other ontologies to build upon. It serves as both a runtime environment and a meta-ontology that enables the coherent evolution of knowledge structures.

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#!/usr/bin/env python3
"""
Coherence-Gradient Descent Algorithms - A Prime Framework Reference Implementation

This implementation combines multiple advanced techniques from the Prime Framework:
1. Spectral analysis from the Prime Operator's eigenstructure
2. Fiber algebra for multi-perspective pattern detection
3. Multi-base representation for constraint encoding
4. UOR framework concepts for navigating solution spaces efficiently

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PrimeOS Library Tests
Tests started. See results below:
Running tests...

Suite: Clifford Algebra
  - [PASS] should create scalar elements correctly
  - [PASS] should create vector elements correctly
  - [PASS] should convert vector to array correctly
  - [PASS] should add multivectors correctly
  - [PASS] should compute the geometric product correctly