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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Universal Persistence Scaling Framework for Barrier-Controlled Transition Systems (UPSF)

Authors: Ahmadov, Murad;

Universal Persistence Scaling Framework for Barrier-Controlled Transition Systems (UPSF)

Abstract

The Universal Persistence Scaling Framework (UPSF) is a statistical methodology for analyzing persistence times in systems governed by barrier-limited transition processes. The framework provides population-level scaling analysis, subpopulation decomposition, and structured residual characterization for identifying dominant transition suppression mechanisms and secondary structural influences. UPSF is designed to be domain-agnostic and applicable across physical, chemical, materials, and complex system transition dynamics. Related resourcesAdditional preprints, theoretical frameworks, and ongoing work by the author are available at:https://murad-ahmadov.github.io/

Keywords

reliability statistics, lifetime distribution analysis, metastable system analysis, barrier-limited dynamics, population-level analysis, survival analysis, metastability, complex systems dynamics, persistence statistics, probabilistic transition modeling, stochastic processes, transition kinetics, statistical physics methods, statistical scaling, failure time analysis, rare-event transitions, transition state dynamics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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