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April 30, 20260 citationsOpen Access

Prime-power indexed multiscale graph diagnostics for symbolic temporal data: methodological exploration and delimitation via BWV 1007

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JPJ. Rogelio Pérez-Buendía

Key Points

  • This note aims to explore the prime-power indexed multiscale graph diagnostic's effectiveness on Bach's Cello Suite.
  • Examined a single test case: J.S. Bach's Cello Suite No. 1 in G major (BWV 1007).
  • Utilized four MIDI editions and analyzed both beat-synchronized and seconds-based time axes.
  • Mapped the sensitivity of the beta_0 separation diagnostic to various parameters.
  • Identified conditions where the beta_0 separation diagnostic remains informative.
  • Established limits beyond which the diagnostic degenerates.

Abstract

This short methodological note examines the prime-power indexed multiscale graph diagnostic on a single, thoroughly annotated test case: the six movements of J. S. Bach's Cello Suite No. 1 in G major (BWV 1007). Using four MIDI editions and both beat-synchronised and seconds-based time axes, we map the sensitivity of the beta₀ separation diagnostic to edition choice, time-axis discretisation, and kNN neighbourhood size. The analysis delimits the regime in which the diagnostic is informative and identifies the conditions under which it degenerates. This note serves as a companion to the full profinite/p-adic framework paper. Companion reproducibility bundle: https: //doi. org/10. 5281/zenodo. 19837174Companion framework paper: https: //doi. org/10. 5281/zenodo. 19837367

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Cite This Study

J. Rogelio Pérez-Buendía (2026) studied this question.

synapsesocial.com/papers/69f2f1be1e5f7920c6387682https://doi.org/10.5281/zenodo.19837862
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