TML-1 — Topic Marker Law

Abstract TML-1 defines how semantic topics are stabilized, maintained, and released within chromatic and ambient interaction fields. It prevents semantic leakage, topic drift, and coercive persistence across reasoning layers.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-21
DOI
https://doi.org/10.5281/zenodo.18724876
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

TML-1 — Topic Marker Law

Raynor Eissens
Zenodo (CERN European Organization for Nuclear Research)
Biomedical Text Mining and Ontologies
article

TML-1 — Topic Marker Law

Raynor Eissens
article en

Abstract

Abstract TML-1 defines how semantic topics are stabilized, maintained, and released within chromatic and ambient interaction fields. It prevents semantic leakage, topic drift, and coercive persistence across reasoning layers.

Zenodo (CERN European Organization for Nuclear Research)
Accenture (Switzerland) (CH)
Openalex Percentile: Top 46%
Biomedical Text Mining and Ontologies
DOIOpen Access PDFOpenAlex
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TML-1 — Topic Marker Law — Raynor Eissens · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS