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Software . 2026
License: CC BY NC
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY NC
Data sources: Datacite
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Tesla Matrix (3-6-9) Reproducibility Package: Python Code and Demonstrative Tables (v27.2)

Paquete de Reproducibilidad de la Matriz de Tesla (3-6-9): Código en Python y Tablas Demostrativas (v27.2)
Authors: Salas Dual, Antonio Victor;

Tesla Matrix (3-6-9) Reproducibility Package: Python Code and Demonstrative Tables (v27.2)

Abstract

Description (English) This record contains the reproducibility package accompanying the paper“Tesla Matrix (3-6-9) in Fibonacci and Lucas and its connections with deterministic filtering of prime candidates” (DOI: 10.5281/zenodo.18756819). Update note (compatible with paper v27.3.2 SAFE):The supplementary reproducibility materials in this record remain valid for the revised paper version v27.3.2 SAFE. The code, tables, and computational demonstrations have not been modified; the new paper version mainly introduces clarifications, structural corrections, and the explicit restoration of Section 7.2. Therefore, this supplementary record continues to support the reproducibility of the Tesla Matrix framework in its updated paper form. The archive includes: • Python implementations of the Tesla Matrix framework• Deterministic sieve experiments over 6k±1• Demonstrative numerical tables• Documentation and manifest files• Structured Excel tables supporting deterministic sieve experiments and modular-digital classifications All materials are released under CC BY-NC 4.0.Commercial licensing available upon request. Descripción (Español) Este registro contiene el paquete de reproducibilidad que acompaña al artículo«Tesla Matrix (3-6-9) in Fibonacci and Lucas and its connections with deterministic filtering of prime candidates» (DOI: 10.5281/zenodo.18756819). Nota de actualización (compatible con el paper v27.3.2 SAFE):Los materiales suplementarios de reproducibilidad contenidos en este registro siguen siendo válidos para la versión revisada del paper v27.3.2 SAFE. El código, las tablas y las demostraciones computacionales no han sido modificados; la nueva versión del paper introduce principalmente aclaraciones, correcciones estructurales y la restitución explícita del apartado 7.2. Por tanto, este registro suplementario continúa respaldando la reproducibilidad del marco de la Matriz de Tesla en su forma actualizada. El archivo incluye: • Implementaciones en Python del marco de la Matriz de Tesla• Experimentos de tamiz determinista sobre 6k±1• Tablas numéricas demostrativas• Documentación y archivos de manifiesto• Tablas estructuradas en Excel que respaldan los experimentos de tamiz determinista y las clasificaciones modulares-digitales Todos los materiales se publican bajo licencia CC BY-NC 4.0.Licencias comerciales disponibles previa solicitud.

1. This record provides the reproducibility package for the Tesla Matrix (3-6-9) paper (v27.2).2. It includes Python code, demonstrative Excel tables, and supporting notes/manuals.3. The paper is available in EN-GB (primary) and ES-ES (secondary) in a separate Zenodo record.4. The package is organised under the folder anc/ (arXiv-compatible structure).5. Tesla Matrix/ contains the reference implementation and technical documentation.6. Tesla Sieve/ contains the complementary deterministic sieve tool and documentation.7. Tables/ includes the spreadsheet series referenced in the paper (sections 9.5.x) plus worked examples.8. A MANIFEST and README are provided to navigate the contents quickly.9. Licence: CC BY-NC 4.0 (free for research/education with attribution).10. Paper DOI (Zenodo): https://doi.org/10.5281/zenodo.18756819

1. Este registro contiene el paquete de reproducibilidad del paper Matriz de Tesla (3-6-9) (v27.2).2. Incluye código Python, tablas Excel demostrativas y documentación/guías de apoyo.3. El paper se publica en EN-GB (principal) y ES-ES (secundario) en otro registro de Zenodo.4. El paquete está organizado en la carpeta anc/ (estructura compatible con arXiv).5. Tesla Matrix/ incluye la implementación de referencia y documentación técnica.6. Tesla Sieve/ incluye la herramienta de tamiz complementaria y su documentación.7. Tables/ contiene la serie de hojas citadas en el paper (secciones 9.5.x) y ejemplos trabajados.8. Se incluyen MANIFEST y README para navegar el contenido rápidamente.9. Licencia: CC BY-NC 4.0 (uso gratuito en ciencia/educación con atribución).10. DOI del paper (Zenodo): https://doi.org/10.5281/zenodo.18756819

Keywords

(EuroSciVoc) Pure mathematics, (EuroSciVoc) Prime numbers

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average