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May 10, 20260 citationsOpen Access

LUME: Eliminating Cognitive Distance - A Deterministic Natural-Language Programming Language with Intent-Resolving Compilation, Voice Input, Certified Security, and Synthetic Organism Runtime

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RARonald Jason Andrews

Key Points

  • The aim is to introduce Lume, a deterministic programming language that simplifies coding using natural English.
  • Developed a 7-layer intent resolution pipeline for enhancing code interpretation.
  • Implemented a security model with live scanning to create tamper-evident certificates embedded in output.
  • Conducted extensive testing with 2,358 tests across 63 test files, achieving zero failures.
  • Successfully validated the deterministic nature of the language yielding consistent output under test conditions.
  • The introduction of Ed25519-signed trust certificates enhances code security.
  • Achieved functionality across 10 human languages with multiple compilation targets.

Abstract

Lume is a deterministic natural-language programming language that accepts natural English as valid source code. The compiler uses a 7-layer intent resolution pipeline in which Layers 1 through 6 are entirely deterministic; AI is used only as an optional final fallback. Version 1.1.0 introduces the Full-Stack Expansion Block: a 31-rule Deterministic Inference Rulebook (LDIR), Ed25519-signed Lume Trust Certificates (LTC), a Synthetic Organism Runtime (SOR) with a 7-state cell lifecycle and deterministic signal bus, and the Lume Multi-Agent Deterministic Protocol (LMADP). The compiler introduces a novel three-layer security model with live AST-level scanning that produces tamper-evident certificates embedded in the compiled output — a paradigm called "certified at birth." ... v6 expands the Related Work section with critical academic references including Green and Petre's Cognitive Dimensions of Notations (1996), Erlang/OTP supervision trees (Armstrong, 2003), program synthesis (Gulwani's FlashFill, Solar-Lezama's Sketch), Knuth's Literate Programming, Simonyi's Intentional Programming, and the EU AI Act (2024). Patent pending — DarkWave Studios LLC. 38 ecosystem apps, 2,358 tests across 63 test files with 0 failures, 93 source modules, 179 patterns, 10 human languages, 5 compilation targets. **v6 — Updated April 16, 2026.**

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Cite This Study

Ronald Jason Andrews (2026) studied this question.

synapsesocial.com/papers/6a00205ec8f74e3340f9b3a1https://doi.org/10.5281/zenodo.20075074
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