FyCore A Framework for Structural Suppression of Epistemic Collapse

This record contains the academic demonstration package for the FyCore Research Programme, Papers I–III. FyCore proposes a structural, non-behavioral framework for suppressing epistemic collapse in large language model outputs. The package includes the main framework paper, mathematical formulation, empirical validation under a minimal toy environment, companion notes, and reproducibility artefacts. The trilogy introduces three layers — Silicon Lens (observation), Thought Value (measurement), and Φ_Fy (constrained evaluation) — unified by a logarithmic barrier on epistemic closure that makes absolute certainty mathematically inadmissible. This work is explicitly scoped as an academic and demonstrative research package. It does not constitute a certification authority, runtime decision system, production validator, consciousness model, ground-truth oracle, or operational deployment claim. Simulation results are confined to a controlled toy environment and should not be interpreted as evidence of real-world LLM performance under production conditions. Scholarly circulation is open. Commercial operation, product integration, model-governance integration, certification use, or commercial runtime use requires a separate written license agreement with the author. Foundational preceding work: CCFy — A Curvature-Based Perspective on Regulatory Dynamics in Conscious Experience (Zenodo DOI: 10.5281/zenodo.18130127).