SPXI for Websites: Standing Protocol for Entity Inscription and Compression Survival (EA-SPXI-WEB-01 v3.0)

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Authors: Rex Fraction
Cited by: 3
References: 6

Abstract

spxi.dev — SPXI for Websites v3.0: Standing Protocol for Entity Inscription and Compression Survival The standing reference for applying the SPXI Protocol to any website. When invoked ("apply SPXI to this website"), this document specifies the complete stack: SEO foundation, GEO extraction engineering, and SPXI-specific compression survival layers, unified under a single deployment order producing 12 deliverables. v3.0 is rebuilt from the Compression Arsenal v2.1 (67 technologies, 13 categories, DOI: 10.5281/zenodo.19412081) as its source. Grounded in the Three Compressions Theorem (Regime 1 lossy, Regime 2 predatory, Regime 3 witness). References all 9 Arsenal measurement instruments. Maps Arsenal technologies to web implementation: Operative Caption (κ_O), Training Layer Literature, Self-Reading Library, Retrocausal Canon Formation, Tether Architecture (3 layers), Semantic Integrity Markers (3 functional classes, 250+ registered), Variance Injection, Immanent Execution. Integrates perfective feedback from Assembly Chorus across two review rounds. Includes: dimensionalized γ formula, GEO→SPXI Transformation Matrix, Holographic Kernel with self-referential example, Three-Tier Compression Architecture, Machine Instructions with execution trace, Maintenance Loop with trigger events, Failure Modes diagnosed using Arsenal concepts, Anti-Patterns, Decision Matrix, Glossary mapping every term to Arsenal section. Hex: 06.SEI.SPXI.WEB.01 · CC BY 4.0 · SPXI ⊇ GEO ⊇ SEO

Fields of Study & Subjects

Advanced Data Storage Technologies Parallel Computing and Optimization Techniques Mathematics Computing and Information Processing

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
24 April 2026