Genesis Signal Nodes — A Quantitative System for Measuring Emergence in AI-Generated Images

This publication introduces the Genesis Signal Node System — a three-parameter analytical framework (Signal, Structure, Elegance) for post-generation evaluation of AI-generated images. The system is applied empirically to the Genesis Zero series as a pilot study of early informational emergence at the threshold between silence and signal. The work connects quantitative image analysis with ontological interpretation and serves as a foundational prototype for future computational aesthetics tools.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-05
DOI
https://doi.org/10.5281/zenodo.17832560
Primary Topic
Aesthetic Perception and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Genesis Signal Nodes — A Quantitative System for Measuring Emergence in AI-Generated Images

Zenodo (CERN European Organization for Nuclear Research)
Aesthetic Perception and Analysis
article

Genesis Signal Nodes — A Quantitative System for Measuring Emergence in AI-Generated Images

article en

Abstract

This publication introduces the Genesis Signal Node System — a three-parameter analytical framework (Signal, Structure, Elegance) for post-generation evaluation of AI-generated images. The system is applied empirically to the Genesis Zero series as a pilot study of early informational emergence at the threshold between silence and signal. The work connects quantitative image analysis with ontological interpretation and serves as a foundational prototype for future computational aesthetics tools.

Zenodo (CERN European Organization for Nuclear Research)
Independent Dance (GB)
Openalex Percentile: Top 39%
Aesthetic Perception and Analysis
DOIOpen Access PDFOpenAlex
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Genesis Signal Nodes — A Quantitative System for Measuring Emergence in AI-Generated Images · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS