One Number to Measure Anomalies — The Balance Metric Across Domains

This research note synthesises findings from six independent domain validations of the Ô operator balance metric: ENSO, COVID-19 (6 countries), earthquakes, sunspots, LLM hidden states, and LLM attention weights. Balance consistently separates anomalous from baseline states across all domains, with a classification spectrum spanning ~10^20 in energy scale.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-17
DOI
https://doi.org/10.5281/zenodo.21416187
Primary Topic
Earthquake Detection and Analysis
Type
preprint
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preprint

One Number to Measure Anomalies — The Balance Metric Across Domains

DR (tygtDc)
Zenodo (CERN European Organization for Nuclear Research)
Earthquake Detection and Analysis
preprint

One Number to Measure Anomalies — The Balance Metric Across Domains

DR (tygtDc)
preprint en

Abstract

This research note synthesises findings from six independent domain validations of the Ô operator balance metric: ENSO, COVID-19 (6 countries), earthquakes, sunspots, LLM hidden states, and LLM attention weights. Balance consistently separates anomalous from baseline states across all domains, with a classification spectrum spanning ~10^20 in energy scale.

Zenodo (CERN European Organization for Nuclear Research)
Jewish Home (US)
Earthquake Detection and Analysis
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