Low-Dimensional Structure of Mamba Readout on the Mauna Loa CO₂ Time Series

The Mamba readout representation of the CO₂ time series exhibits a strongly low-dimensional structure, with PC2 largely explained by a quadratic dependence on PC1. Principal component analysis shows that over 99% of variance is captured by the first two components.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-17
DOI
https://doi.org/10.5281/zenodo.19059603
Primary Topic
Spectroscopy and Laser Applications
Type
article
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article

Low-Dimensional Structure of Mamba Readout on the Mauna Loa CO₂ Time Series

K.D Pom
Zenodo (CERN European Organization for Nuclear Research)
Spectroscopy and Laser Applications
article

Low-Dimensional Structure of Mamba Readout on the Mauna Loa CO₂ Time Series

K.D Pom
article en

Abstract

The Mamba readout representation of the CO₂ time series exhibits a strongly low-dimensional structure, with PC2 largely explained by a quadratic dependence on PC1. Principal component analysis shows that over 99% of variance is captured by the first two components.

Zenodo (CERN European Organization for Nuclear Research)
Climate action
Openalex Percentile: Top 18%
Spectroscopy and Laser Applications
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