CITATION.cff

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: "0.0.3.9"
date-released: "2026-10-20"
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/v0.0.3.9"
# 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 investigating organized mathematical objects under
  declared nodal laws. Objects retain the form, capacity, phase, support,
  constituent information and context needed for their identity and response.
  The engine integrates registered structural operators, grammar admission,
  atomic execution stages, continuous and relational dynamics, and detached
  observations and conditional certificates. Mathematical results address
  formation, recovery, interaction, memory and collective actions under their
  specific models. Identity, state sufficiency, supplied intervention and
  autonomous occurrence remain distinct claims. Shared numerical admission,
  report contracts and reproducible instruments support this investigation.
  The basic primality utility remains separate; unsupported advanced arithmetic
  integrations and the factorization lab are retired from active research.
  Exact identities, conditional proofs and finite computational evidence do not
  constitute empirical validation or select a unique fundamental law.