Manifold Rarity and Quantitative Telos: A Sheaf-Geometric Utility with QFI-Stable Instrumentation

We develop a portable, testable calculus for coherent novelty. The core quantity is a manifold rarity score MR(x) that prices jointly rare, internally coherent composites in a representation manifold, and a quantitative telos field τ(x) that points along directions where rare coherence actually pays off. Technically, MR combines (i) near-mass rarity, (ii) local dimension regularization, and (iii) a coherence guard; telos combines (i) information-geometric curvature and (ii) spectral-tilt sensitivities into a direction of value. We add a sheaf-theoretic gluing residual Ob that penalizes moves which fail to globalize across contexts. The main results: (1) invariance and stability under quotient flows; (2) rate-function scheduling (Murphy horizons) for discovering high-MR targets at bounded risk; (3) an action–betweenness correspondence showing where to probe; (4) falsifiable predictions linking rarity–telos to adoption speed and discovery latency. Algorithms (rarity, gluing, telos estimation) and PGFPlots figures are provided.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-08
DOI
https://doi.org/10.5281/zenodo.17297329
Primary Topic
Clay minerals and soil interactions
Type
article
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article

Manifold Rarity and Quantitative Telos: A Sheaf-Geometric Utility with QFI-Stable Instrumentation

Zenodo (CERN European Organization for Nuclear Research)
Clay minerals and soil interactions
article

Manifold Rarity and Quantitative Telos: A Sheaf-Geometric Utility with QFI-Stable Instrumentation

article en

Abstract

We develop a portable, testable calculus for coherent novelty. The core quantity is a manifold rarity score MR(x) that prices jointly rare, internally coherent composites in a representation manifold, and a quantitative telos field τ(x) that points along directions where rare coherence actually pays off. Technically, MR combines (i) near-mass rarity, (ii) local dimension regularization, and (iii) a coherence guard; telos combines (i) information-geometric curvature and (ii) spectral-tilt sensitivities into a direction of value. We add a sheaf-theoretic gluing residual Ob that penalizes moves which fail to globalize across contexts. The main results: (1) invariance and stability under quotient flows; (2) rate-function scheduling (Murphy horizons) for discovering high-MR targets at bounded risk; (3) an action–betweenness correspondence showing where to probe; (4) falsifiable predictions linking rarity–telos to adoption speed and discovery latency. Algorithms (rarity, gluing, telos estimation) and PGFPlots figures are provided.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 55%
Clay minerals and soil interactions
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