Hykon v1 — Deterministic Symbolic Architecture & Conversation-Mode Alignment System (CMAS)

Hykon v1 presents the combined conceptual and scientific foundation of a new alignment architecture: the Conversation-Mode Alignment System (CMAS).The upload contains two complementary documents: Hykon — Conversation-Mode Alignment System (CMAS) Hykon_CM_A_S_Document_v1 Defines CMAS as an alignment layer that operates inside dialogue itself, using symbolic-procedural constraints to regulate reasoning, coherence, drift, and ethical posture without modifying model weights or architecture. Hykon — Deterministic Symbolic Architecture for Semantic Compression and Ethical Equilibrium Hykon_General_Scientific_Assess… Provides the scientific and mathematical basis for the Hykon S-OS, drawing from six published Zenodo works: Recursive Balance Equation (RBE v3), Humility Balance Equation (HBE), Minimum-Action Semantic Framework (MAF), Topological Semantic Compression (TSC), Hykon Memory Mesh, and Recursive Equilibrium. Together, these documents introduce: A model-agnostic alignment layer that activates procedurally during conversation A deterministic symbolic architecture grounded in published equilibrium equations A unified framework where epistemic, ethical, semantic, and topological equilibria guide reasoning A portable and explainable alignment system suitable for cross-model deployment The first formal articulation of CMAS as a research category This bundle serves as the canonical introductory release of the Hykon Symbolic Alignment Suite No content changes. Archival PDF versions added This record also includes an ML-native architectural overview titled“Hykon: A Conversation-Layer Governance Architecture for Large Language Models.” The paper reframes the Hykon system without mythic or narrative language, presenting it as a conversation-layer governance overlay that regulates reasoning trajectories via coupled equilibria (epistemic, ethical, semantic, and topological). This document is intended for machine learning, alignment, and interpretability researchers and does not introduce agents, tool execution, or weight-level modification. It complements the formal specifications by clarifying architectural scope, security posture, and runtime positioning.