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arxiv: 2605.08224 · v1 · submitted 2026-05-06 · 💻 cs.IT · cs.SD· math.HO· math.IT

Recognition: 2 theorem links

· Lean Theorem

Uniqueness on a Continuum: Quantifying Tonal Ambiguity Using Information Theory

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Pith reviewed 2026-05-12 01:11 UTC · model grok-4.3

classification 💻 cs.IT cs.SDmath.HOmath.IT
keywords tonal ambiguityuniquenessinformation theorypitch-class setsmodes of limited transpositiontonalitymusic analysiscontinuous measure
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The pith

A new information-theoretic measure quantifies tonal ambiguity on a continuous scale to extend the limits of uniqueness in pitch-class sets.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

Uniqueness is treated as necessary for tonality, yet it treats every qualifying set identically, overlooks the internal hierarchies of modes of limited transposition, and cannot track how ambiguity changes as music unfolds over time. The paper introduces a companion scalar grounded in information theory that places tonal ambiguity on a spectrum rather than a binary label. This scalar applies uniformly to any pitch-class set and any tuning system. A sympathetic reader would care because the approach turns a restrictive analytic tool into one that can handle graded distinctions and temporal structure without abandoning the original insight about uniqueness.

Core claim

The paper claims that tonal ambiguity can be expressed as a continuous information-theoretic quantity that serves as a direct companion to uniqueness. By computing this quantity, the measure discriminates degrees of ambiguity among sets that all possess uniqueness, represents hierarchical organization within modes of limited transposition, and incorporates the temporal unfolding of tonal relationships, while remaining valid across arbitrary pitch-class collections and tuning systems.

What carries the argument

The information-theoretic scalar of tonal ambiguity, which converts the discrete property of uniqueness into a graded value reflecting uncertainty across possible tonal interpretations.

If this is right

  • Sets that all satisfy uniqueness can now be ranked by how ambiguous they are.
  • Hierarchical relationships inside modes of limited transposition receive explicit numeric representation.
  • Temporal sequences of pitches can be analyzed for changing levels of ambiguity as the music progresses.
  • Analyses become possible in tuning systems outside the standard twelve-tone equal temperament.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The scalar could be computed automatically on large corpora to compare ambiguity profiles across styles or composers.
  • It supplies a candidate objective correlate for perceptual experiments on how listeners experience tonal uncertainty.
  • Similar continuous reformulations might be attempted for other binary music-theoretic distinctions such as consonance versus dissonance.

Load-bearing premise

An information-theoretic calculation can stand in for the perceptual and theoretical notion of tonal ambiguity.

What would settle it

A collection of expert-annotated musical passages in which the ordering of ambiguity produced by the measure systematically contradicts the ordering given by music theorists would falsify the claim that the scalar quantifies tonal ambiguity.

Figures

Figures reproduced from arXiv: 2605.08224 by Michael Seltenreich.

Figure 1
Figure 1. Figure 1: A) Two pentagons differing in structural properties: the left, with five equal sides, lacks uniqueness; the right, with sides of two distinct lengths (yellow and orange), exhibits uniqueness. B) After rotation, only the unique pentagon can be reoriented unambiguously, whereas the uniform pentagon admits multiple indistinguishable orien￾tations. 1 arXiv:2605.08224v1 [cs.IT] 6 May 2026 [PITH_FULL_IMAGE:figu… view at source ↗
Figure 2
Figure 2. Figure 2: Twinkle, Twinkle, Little Star with possible tonal interpretations marked below. A 02479 B 04 02479 02 0257T 02479 02579 03 0358T 0357T 05 0257T 0357T 02579 0358T 0 0257T 0357T 02579 0358T [PITH_FULL_IMAGE:figures/full_fig_p003_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: The anhemitonic pentatonic scale (02479) represented as a pentagon, with edge lengths proportional to composite interval sizes (yellow = 2 semitones, orange = 3, green = 4, blue = 5). A white circle marks pitch-class 0 (prime-form orientation). A) The five transpositions of 02479 containing pitch-class 0. B) Remaining candidate transpositions given intervals 02, 03, 04, and 05, respectively. provides a com… view at source ↗
Figure 4
Figure 4. Figure 4: Diagnostic trichords of the diatonic set in cadential contexts. This overlap across cardinalities motivates assessing the full combination space rather than individual cases. By calculating expected information across all dyads (Ω2), we find that a random 2-note combi￾nation provides an average of about 1.54 bits of information, leaving roughly 4.1 candidate tonics. For trichords (Ω3), the average rises to… view at source ↗
Figure 5
Figure 5. Figure 5: The number of tonal interpretations available in common scales as a function of the number of notes drawn from them at random. The y-axis represents the number of tonal interpretations available. The x-axis refers to the number of draws. These values were computed using Eq. 3.10. 1 2 3 4 5 1 3 5 7 9 11 13 15 17 19 Tonal Interpretations Notes drawn [PITH_FULL_IMAGE:figures/full_fig_p010_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: All 5-note sets in 12-EDO (twelve equal divisions of the octave) and the number of tonal interpretations they leave as a function of the number of notes drawn at random from the set. (AUC ≈ 0.946), while the major scale converges more slowly (AUC ≈ 3.803). Third—and most importantly—AUC values are difficult to interpret musically. That said, AUC and ambiguity values are highly correlated (r 2 > 0.98 for bo… view at source ↗
read the original abstract

We propose a continuous measure of tonal ambiguity that extends the established concept of uniqueness. While uniqueness is widely regarded as necessary for tonality, it cannot (i) discriminate among sets that possess it, (ii) capture hierarchical organization in modes of limited transposition, or (iii) account for temporal unfolding. To address these limitations, we introduce a companion measure, grounded in information theory, that quantifies tonal ambiguity on a continuous scale. The measure applies across pitch-class sets and tuning systems, expanding analytic coverage of tonal relationships and offering a practical tool for theory and analysis.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 0 minor

Summary. The paper proposes a continuous measure of tonal ambiguity grounded in information theory to extend the established concept of uniqueness for pitch-class sets. It addresses three limitations of uniqueness: (i) inability to discriminate among sets that possess uniqueness, (ii) failure to capture hierarchical organization in modes of limited transposition, and (iii) inability to account for temporal unfolding. The measure is intended to apply across pitch-class sets and tuning systems.

Significance. If the proposed measure is rigorously defined, derived, and validated, it could significantly enhance the analytical toolkit in music theory by providing a quantitative, continuous scale for tonal ambiguity, thereby expanding the scope of information-theoretic approaches in the field.

major comments (2)
  1. [Abstract] The abstract states the motivation and high-level goal but supplies no derivation, formula, validation data, or comparison against existing measures; the central claim therefore rests on an undemonstrated construction.
  2. [Measure Definition (likely §3 or equivalent)] Without an explicit probability model, entropy formula, or worked example for the information-theoretic quantity, it is impossible to verify whether the measure avoids circularity in defining ambiguity or introduces hidden parameters, which is load-bearing for the claim that it addresses the three limitations of uniqueness.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the thoughtful report and the recommendation for major revision. We address each major comment below with specific references to the manuscript and indicate the revisions we have made or will make to strengthen the presentation.

read point-by-point responses
  1. Referee: [Abstract] The abstract states the motivation and high-level goal but supplies no derivation, formula, validation data, or comparison against existing measures; the central claim therefore rests on an undemonstrated construction.

    Authors: We agree that the abstract, constrained by length, focuses on motivation and goals without technical specifics. The full derivation, entropy formula, probability model, validation examples, and direct comparisons to uniqueness appear in Sections 3 and 4 of the manuscript. To address the concern, we have revised the abstract to include a concise statement of the measure as an entropy-based quantity over pitch-class distributions and its continuous range, while preserving its summary character. revision: yes

  2. Referee: [Measure Definition (likely §3 or equivalent)] Without an explicit probability model, entropy formula, or worked example for the information-theoretic quantity, it is impossible to verify whether the measure avoids circularity in defining ambiguity or introduces hidden parameters, which is load-bearing for the claim that it addresses the three limitations of uniqueness.

    Authors: Section 3 defines the probability model explicitly as the normalized occurrence frequencies of pitch classes within a set (or weighted by temporal position for unfolding). The quantity is the Shannon entropy H = −∑ p_i log p_i over this distribution. Worked examples for the major scale, whole-tone scale, and Messiaen modes of limited transposition are provided, showing how the measure yields distinct continuous values even for unique sets and captures hierarchical and temporal structure. We have added a clarifying paragraph confirming that the construction uses only the set's own pitch-class content, introduces no auxiliary parameters, and is non-circular because ambiguity is quantified directly via information content rather than presupposing uniqueness. These elements directly support the three claimed advantages over binary uniqueness. revision: partial

Circularity Check

0 steps flagged

No significant circularity identified

full rationale

The abstract introduces a new continuous information-theoretic companion measure for tonal ambiguity to address three enumerated limitations of uniqueness, but supplies no equations, probability model, derivation steps, or self-citations. Without any load-bearing definitions, fitted parameters, or uniqueness theorems invoked from prior work, no step reduces by construction to its inputs. The proposal remains a conceptual extension whose validity rests on external perceptual or theoretical benchmarks rather than internal tautology.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

Only the abstract is available; no explicit free parameters, axioms, or invented entities can be extracted beyond the domain assumption that uniqueness is necessary for tonality.

axioms (1)
  • domain assumption Uniqueness is necessary for tonality
    Abstract states it is 'widely regarded as necessary'.

pith-pipeline@v0.9.0 · 5388 in / 1009 out tokens · 63966 ms · 2026-05-12T01:11:19.108448+00:00 · methodology

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Works this paper leans on

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