Develops an innovative text generation framework, suggesting efficient narrative control mechanisms.
Abstract & System Architecture Specification:This repository contains the complete architectural specification and foundational mathematical proofs for the Sovereign Narrative Engine (SNE). SNE introduces a novel paradigm for infinite-horizon text generation by entirely rejecting prompt-driven intervention and high-overhead natural language constraint tuning. Instead, it reframes narrative progression as a deterministic simulation governed by a coupled dynamical tensor system. The architecture formally decouples the core system physics and character psychological state trajectories (Tier 2) from a stateless, low-overhead token-generation pipeline (Tier 3). It demonstrates that long-form narrative properties—such as thematic consistency, dramatic counterpoint, and emotional pacing—emerge as bounded structural properties derived from shared waveform mechanics and real-time database deformations, satisfying contractive mapping conditions under the Banach Fixed-Point Stability Theorem to mathematically suppress identity drift. Artifacts Included:- Complete LaTeX source files and compiled master manuscript ("The Sovereign Narrative Engine: A First-Principles Approach to Computational Narrative Physics").- Foundational architectural schematics mapping the multi-tier interaction layers.- Operational deployment profiles and hardware topology specifications for local enterprise workstation optimization (WSL2/vLLM multi-threaded environments).
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Terry Schermerhorn (2026) studied this question.
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