What question did this study set out to answer?

This research aims to explore the geometric patterns present in a nocturnal binary sensor stream.

February 17, 2026Open Access

Emergent Toroidal Geometry in an Autonomous Binary Sensor Stream (Exploratory Study)

Key Points

This research aims to explore the geometric patterns present in a nocturnal binary sensor stream.
Conducted exploratory analysis on a dataset containing 28,013 bits from an autonomous binary sensor.
Applied deterministic spatial embedding techniques to reveal geometric structures.
Used quantitative descriptors such as run-length statistics and autocorrelation to analyze properties.
Identified reproducible ring-like and toroidal/helical geometries.
Provided quantitative analyses including run-length statistics and autocorrelation measures.
Results are exploratory and do not claim causality.

Abstract

English: This deposit contains a bilingual preprint reporting an exploratory analysis of an autonomous nocturnal binary sensor stream (28,013 bits). Deterministic spatial embedding reveals reproducible ring-like and toroidal/helical geometries, accompanied by quantitative descriptors (run-length statistics, autocorrelation). The study integrates analytical figures and public communication infographics. Causality is not claimed; results are presented as exploratory structured dynamics. Español: Este depósito contiene un preprint bilingüe que reporta un análisis exploratorio de un flujo binario autónomo nocturno (28.013 bits). El embebido espacial determinista revela geometrías reproducibles tipo anillo y toroide/hélice, junto con descriptores cuantitativos (estadística de ráfagas y autocorrelación). El estudio integra figuras analíticas e infografías públicas. No se afirma causalidad; los resultados se presentan como dinámica estructurada exploratoria.

Emergent Toroidal Geometry in an Autonomous Binary Sensor Stream (Exploratory Study)

Key Points

Abstract

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