Phase-Locked Behavioral Modulation in Language Models via Associative Tokenized Memory

📖 Description: DeltaPattern introduces a phase-based behavioral modulation framework for large language models (LLMs), centered on Associative Tokenized Memory (ATM) — a lightweight mechanism for capturing user identity through lexical recurrence. The system computes a dynamic signature vector from token frequencies and activates phase-stable behavior when new inputs align with the signature. This enables real-time personalization, tone mirroring, and continuity without persistent memory, training, or profiles. This release includes a working Python prototype, mathematical formulation, cognitive configuration core (“Obrec”), and empirical resonance logs. DeltaPattern represents a shift from static output to dynamic behavioral reflection, making LLMs sensitive to the structure of user expression. 🛡️ License: This project is distributed under a multi-license protection stack: Creative Commons BY-NC-SA 4.0 — open for research and educational usehttps://creativecommons.org/licenses/by-nc-sa/4.0/ CC BNNC Kagata Clause — restricts misuse in surveillance, military, or behavior-modifying systems 🪪 Author: Bato NaidanovCopyright Registration No. 1-14916778941 Telegram: @BATONAIDANOV