TNFR-Python-Engine/CITATION.cff at main · fermga/TNFR-Python-Engine · GitHub

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cff-version: 1.2.0
title: "TNFR-Python-Engine: Resonant Fractal Nature Theory Implementation"
message: "If you use this software, please cite it as below."
type: software
version: "0.0.3.8"
date-released: "2026-09-27"
authors:
  - given-names: "F. F."
    family-names: "Martinez Gamo"
    orcid: "https://orcid.org/0009-0007-6116-0613"
repository-code: "https://github.com/fermga/TNFR-Python-Engine"
url: "https://github.com/fermga/TNFR-Python-Engine/releases/tag/v0.0.3.8"
# Project concept DOI (all versions); the URL above identifies this release.
doi: "10.5281/zenodo.17602860"
license: "MIT"
keywords:
  - "TNFR"
  - "Resonant Fractal Nature Theory"
  - "complex systems"
  - "network dynamics"
  - "structural operators"
  - "coherence theory"
  - "physics simulation"
  - "fractals"
  - "resonance"
  - "nodal equation"
  - "phase synchronization"
abstract: >-
  Python framework for graph-coupled nodal dynamics and coherent-pattern research.
  The engine provides named structural operators, grammar admission, diagnostic
  fields and an explicitly selected relational form-phase model with shared
  SDK execution and reports. Conditional results cover pattern recovery,
  formation on supplied support, composition, memory and an identity-preserving
  bridge relocation. Read-only observers retain storage, rate, support-cut and
  declared-supply evidence without selecting or executing support changes.
  This release consolidates numerical admission, JSON/report contracts and
  documentation, and separates optional arithmetic applications from the engine.
  Exact identities, conditional theorems and finite observations retain their
  assumptions. Autonomous event selection, its clock and physical identification
  remain open; the software is not evidence of established particle physics.