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ZENODO
Book . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Book . 2026
License: CC BY
Data sources: Datacite
ZENODO
Book . 2026
License: CC BY
Data sources: Datacite
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Total State–Space Coexistence Theory (Author's Preprint)

Authors: Kushwaha, Hemant Kumar;

Total State–Space Coexistence Theory (Author's Preprint)

Abstract

This document presents the author’s preprint version of Total State–Space Coexistence Theory, a structural framework addressing time, probability, multiplicity, and experience. The work treats time as an ordering relation rather than a flowing entity, probability as a structural measure over coexisting outcomes, and experience as index-local access within a complete state-space. Classical paradoxes related to time, measurement, and single-history assumptions are handled through structural separation rather than elimination. This preprint is intended for academic reference and archival purposes.The formally published edition of this work is available via Amazon KDP in paperback and Kindle formats.

Keywords

multiverse, probability theory, state space, paradox resolution, block universe, quantum foundations, time as ordering

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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
Green