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) HykonCMASDocumentᵥ1 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 HykonGeneralScientificAssess… 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. ” 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.
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