Testing a Relative Capacity Invariant in the Integration Era Unicorn-Seal Corpus

This study presents a quantitative audit of 107 unicorn seals from the Indus Integration Era (c. 2600-1900 BCE), documenting a statistically significant correlation between offering-stand morphology and terminal tally notation. Using a double-blind protocol, Style 16 (deep-basin) stands correlate with 2-stroke tally and Style 25 (shallow-basin) stands correlate with 3-stroke tally (chi-squared p = 7.08 x 10^-17; 92.5% blind classification accuracy). The Dholavira anomaly (Fisher exact 174:1) provides structural confirmation. This paper does not claim linguistic decipherment. It presents a falsifiable quantitative framework for computational archaeological systems analysis. Version 2.0 revised following peer review.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-08
DOI
https://doi.org/10.5281/zenodo.20090733
Primary Topic
Image Processing and 3D Reconstruction
Type
article
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article

Testing a Relative Capacity Invariant in the Integration Era Unicorn-Seal Corpus

Fraser Muir
Zenodo (CERN European Organization for Nuclear Research)
Image Processing and 3D Reconstruction
article

Testing a Relative Capacity Invariant in the Integration Era Unicorn-Seal Corpus

Fraser Muir
article en

Abstract

This study presents a quantitative audit of 107 unicorn seals from the Indus Integration Era (c. 2600-1900 BCE), documenting a statistically significant correlation between offering-stand morphology and terminal tally notation. Using a double-blind protocol, Style 16 (deep-basin) stands correlate with 2-stroke tally and Style 25 (shallow-basin) stands correlate with 3-stroke tally (chi-squared p = 7.08 x 10^-17; 92.5% blind classification accuracy). The Dholavira anomaly (Fisher exact 174:1) provides structural confirmation. This paper does not claim linguistic decipherment. It presents a falsifiable quantitative framework for computational archaeological systems analysis. Version 2.0 revised following peer review.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 4%
Image Processing and 3D Reconstruction
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