NationFiles – Peer‑Review Corpus (2026‑05‑02)

Version 1.0
DOI: 10.5281/zenodo.19974361
Author: Sven Schmidt, Neawolf Media Group (ORCID: 0009-0002-5010-1902)
Location: Aachen, Germany
License: CC BY 4.0 International

Purpose of this Release

This repository provides the complete, citable, and peer‑review‑ready methodology corpus of the NationFiles framework. It consolidates all scientific, architectural, and audit‑oriented documents required to understand, verify, and reproduce the NationFiles Stability Index (NFSI), the Naciro Intelligence Engine, and the Large Processing Unit (LPU) inference architecture.

The release is intended for academic peer review, public‑sector audits, reproducibility studies, and long‑term archival.

Included Documents (Mapping)

To ensure full traceability, the documents are numbered according to their role in the audit stack:

1. 1-Lead-Document.pdf

Algorithmic Geopolitics – Methodology of AI‑Driven Real‑Time Stability Indexing
Technical Whitepaper / Primary Methodology Paper
Defines the full mathematical basis of the NFSI, including the three‑stage pipeline (normalisation, day‑level aggregation, weighted end composition), algebraic definitions, and integrity strategy.

2. 2-Supplementary-Material-1.pdf

Validation & Verification Report (VVR) – NationFiles Stability Index (NFSI)
Audit‑oriented documentation including all formulas, constants, data inventories, provenance, and reproducibility guarantees. Document ID: VVR‑2026‑03‑07.

3. 3-Supplementary-Material-1.pdf

NFSI – NationFiles Stability Index Product Description
Operational description of the NFSI pillars (Security, Governance, Macro, Demographics), the 15-minute cycle, and the "Crash Mode" logic.

4. 4-Supplementary-Material-2.pdf

Technical Note: The Large Processing Unit (LPU) Architecture
Describes the hardware-level inference architecture associated with Naciro: SRAM‑dominant topology, Tensor Streaming Processor (TSP) paradigm, and deterministic VLIW scheduling.

5. 5-Supplementary-Material-2.pdf

Methodology and Application of AI‑Driven Geopolitical Risk Analysis
System‑level monograph covering the NationFiles framework architecture, JSON ontology, Naciro Engine, and the Legal Sources Registry.

6. 6-Background-Benchmarking-Comparison.pdf

Index Comparison & Benchmarking
Functional comparison of the NFSI with established index families (FSI, GPI, CPI, WGI, etc.) and classification of update latencies.

Technical Specifications & Integrity

• Update Cadence: Documented 15-minute recomputation cycle for real-time recalibration.
• Data Foundation: Fusion of 115+ global metrics from verified institutions (World Bank, UN, ACLED, etc.) and proprietary signals.
• Inference Latency: Published sub-50 ms inference claims for deterministic geopolitical assessments.
• Integrity Guarantee: No manual overrides or black‑box corrections; all formulas correspond to the actual implementation.

Licensing & Citation

Licensing

All methodology and research documents are published under Creative Commons Attribution 4.0 International (CC BY 4.0). Documentation and reports follow CC BY-ND 4.0 where indicated.

Citation Recommendation

Neawolf Media Group (2026). NationFiles Methodology Corpus – Peer‑Review Edition. Zenodo. DOI: 10.5281/zenodo.19974361.

Contact

Neawolf Media Group
Reinhardstr. 1b, 52078 Aachen, Germany
Scientific & Audit Inquiries: info@nationfiles.com
Project Website: https://nationfiles.com

Notes

Only the German versions of legal documents are binding. This corpus does not constitute legal, investment, or security advice.