3-6-9 n-slot

<h2>Abstract</h2><p>This dataset and software repository presents the formal implementation and theoretical framework of the <b>Slot-Based Technical Taxonomy Model (N-Slot Engine)</b>. Evolving from a baseline 3-slot architecture (<i>Header + Core + Modifier</i>), this framework introduces deterministic <b>6-slot</b> and <b>9-slot positional grammar schemas</b> designed for zero-allocation boundary isolation across complex, un-indexed text corpora and dense industrial telemetry streams.</p><p>The core computational engine is written in compiled Rust, leveraging static string slicing (<code>&amp;'a str</code>) and regex-driven deterministic finite automata (DFA) state machines to achieve microsecond execution speeds with zero heap memory allocation during parsing loops.</p> <h2>Taxonomy Architecture &amp; Slot Decompositions</h2><p>The model treats incoming tokens or byte arrays as structured, positional ledgers rather than unstructured strings:</p> <ul> <li> <b>3-Slot Base Model:</b><br> <code>[Slot 1: Header/Scope] + [Slot 2: Subject Core] + [Slot 3: Modifier/Terminal]</code><br> <i>Application:</i> Rapid corpus indexing, preliminary token segmentation, and lightweight token classification. </li> <br> <li> <b>6-Slot Standard Model:</b><br> <code>[Slot 1: Scope] + [Slot 2: Operator] + [Slot 3: Core Stem] + [Slot 4: Infix/State] + [Slot 5: Suffix] + [Slot 6: Trailer]</code><br> <i>Application:</i> Granular character/glyph boundary isolation (MS 408 folios), morphological affix mapping, and standard industrial CAN bus frame decoding. </li> <br> <li> <b>9-Slot High-Resolution Model:</b><br> <code>[Slot 1: Macro Scope] + [Slot 2: Header] + [Slot 3: Opcode] + [Slot 4: Root Payload] + [Slot 5: Primary Infix] + [Slot 6: Modifier] + [Slot 7: Primary Suffix] + [Slot 8: Meta Suffix] + [Slot 9: Delimiter]</code><br> <i>Application:</i> Ultra-high-resolution positional grammar parsing, pre-filtering for edge vector database indexing (Qdrant/Milvus), and complex SCADA/IoT event logging. </li></ul> <h2>Dual-Domain Applications</h2><ol> <li> <b>Computational Cryptanalysis &amp; Historical Manuscripts (MS 408 / Voynich):</b> Provides a reproducible, open-access taxonomy framework to test positional character stability, glyph-cluster dependencies, and prefix/infix/suffix distributions across 35,000+ non-standardized manuscript tokens without relying on modern natural language assumptions. </li> <li> <b>Edge Telemetry &amp; Embedded Computing:</b> Functions as an embedded, zero-cost abstraction engine that parses, compresses, and indexes raw byte streams directly on edge hardware (ARM64/Android/Linux) prior to cloud transmission, reducing bandwidth overhead and compute latency. </li></ol> <h2>Technical Specifications &amp; Contents</h2><ul> <li><b>Implementation Language:</b> Rust (Edition 2021)</li> <li><b>Dependencies:</b> Pure-Rust SSL (<code>rustls-tls</code>), <code>serde</code>, <code>regex</code>, <code>csv</code></li> <li><b>Included Assets:</b> Compiled Rust engine source code (<code>src/main.rs</code>), configuration manifests (<code>Cargo.toml</code>), benchmark execution scripts, and output CSV datasets containing multi-slot token breakdowns.</li></ul>