SnapLens – The Auditative Core of Semantic Drift and Proof Integrity
Year: 2025
Type: article
Abstract: SnapLens is the semantic navigation layer of SnapOS – a framework for structural auditability, epistemic drift analysis, and traceable proof integrity. This paper outlines the internal DriftOperator kernel, the SnapScore vector model, and the SnapProof Stack mechanism for semantic validation. It contextualizes SnapOS as an audit-first formal system beyond derivability, supporting epistemic resilience in logic and AI. This paper describes the SnapLens audit module, currently at MVP v1.2 within the SnapOS framework. ForecastCluster, SnapChain, and full SnapOrbit inference modules are under active development. This module extends the SnapOS framework introduced in the prior Zenodo release (DOI: 10.5281/zenodo.15823949.), now deepening the formal audit mechanics and semantic drift navigation applicable in both logic and AI traceability. Includes: full LaTeX source, audit licensing model (AuditCore License 1.0), and SnapOperator definitions.Note: This preprint is also governed by the included AuditCore License 1.0, which specifies structural reuse restrictions, commercial licensing conditions (3.8% clause), and semantic audit requirements. See Appendix A of the PDF for full terms. This preprint forms part of the foundational framework for the forthcoming SnapDrift Trilogy, which will be published in print (via KDP, GRIN, or traditional publisher).
Author: Chalupa, Marko
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6931075415
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