NanoCERN Documentation Hub
Welcome to the official documentation for NanoCERN v2.0.
This hub provides everything you need to understand, use, and integrate the deterministic knowledge reactor.
SYSTEM STATUS: v2.0.0 STABLE
CORE ENGINE: Deterministic / ISL-Anchored
REACH: Physics & Medicine Hub
📘 What is NanoCERN?
Understand the conceptual foundations, the Translucency Problem, and why determinism matters in high-stakes
AI.
🏗️ 3-Layer Architecture
Detailed breakdown of the Extraction, Reactor, and Output layers. The 47x speedup explained.
⚛️ KU Taxonomy
The anatomy of a Knowledge Unit: Invariants, Envelopes, and Structural Contracts.
🛑 NKU Taxonomy
The anatomy of an NKU: Mapping structural rejections and discovery of boundaries.
🩺 Medical Safety Taxonomy
Deep dive into the 6 classes of Negative Knowledge Units (NKUs) and clinical safety boundaries.
💻 CLI Quick Start Guide
A hands-on guide to searching, checking, and auditing knowledge from your terminal.
🛠️ Python API Developer Guide
How to integrate the NanoCERN reactor core into your own Python applications and pipelines.
📦 Download v2.0
Get the complete NanoCERN CLI package, including 648 Knowledge Units.
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