Monster Symmetry as a Safety Architecture in Generative Systems

This paper proposes a structural safety framework where Monster group symmetry governs generative behavior. Equivariance preserves high performance, while symmetry breaking naturally induces degradation, providing intrinsic protection without external prohibitions or ethical constraints. This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-03
DOI
https://doi.org/10.5281/zenodo.23112976
Primary Topic
Safety Systems Engineering in Autonomy
Type
article
Field-Weighted Citation Impact
0.00
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article

Monster Symmetry as a Safety Architecture in Generative Systems

Shin Tamaki
Zenodo (CERN European Organization for Nuclear Research)
Safety Systems Engineering in Autonomy
article

Monster Symmetry as a Safety Architecture in Generative Systems

Shin Tamaki
article en

Abstract

This paper proposes a structural safety framework where Monster group symmetry governs generative behavior. Equivariance preserves high performance, while symmetry breaking naturally induces degradation, providing intrinsic protection without external prohibitions or ethical constraints. This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 12%
Safety Systems Engineering in Autonomy
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Monster Symmetry as a Safety Architecture in Generative Systems — Shin Tamaki · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS