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Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
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Volume 1: Formal Limits of Computability and Auditability

Authors: Chalupa, Marko;

Volume 1: Formal Limits of Computability and Auditability

Abstract

The book establishes the notion of the Audit-Cut — the precise boundary where classical proof systems collapse and auditable operator-based systems begin. It is embedded in the Epistropheon canon of SnapKosmos, extending branches such as Drift, SnapOrbit, and CQDZ to the study of computational limits. This book explores structural boundaries of formal systems, focusing on complexity theory, semantic drift, and auditability in AI architectures. It combines mathematical logic, circuit complexity (AC⁰, 3-CNF), and audit-driven system design to construct a verifiable framework for understanding computational limits. Drawing from formal tools like the Switching Lemma, random restrictions, and semantic differentials (Δ, Σ, Ω), the book introduces a unique synthesis of structural proof theory and systems architecture — defined through a semantic operating layer called SnapOS. Originally developed in the context of regulatory AI, SnapOS introduces audit primitives such as SnapScore, SnapCut, and Reentry, bridging formal mathematics with applied system design. This publication is part of a wider research project on autonomous epistemic systems, semantic architecture, and drift-aware AI regulation. SnapOS, AC^0, Switching Lemma, Formal Bound, Auditability, Computational Structure, Lower Bounds, 3-CNF, Complexity Theory auditability, structural boundaries, Epistropheon cycle

Keywords

Lower Bounds, Switching Lemma, Auditability, SnapOS.org, 3-CNF, Complexity, Computational Structure, AC^0, Formal Bound

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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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