Patent Filing: CLDI - Collapse Language Divergence Index

The CLDI is a recursive-aware, semiotic decay diagnostic developed for assessing symbolic systems under collapse pressure. It originated in archaeological research analyzing Linear A tablets, where bureaucratic residues preserved in clay were scored using a 5-dimensional decay rubric. The same rubric proved transferable to AI model outputs and institutional documents. Core Dimensions: Dimension Meaning Legibility Degradation Physical erosion, visual degradation, or stylus neglect Redundancy Frequency Repetition of patterns or sequences indicating collapse-phase drift Toolcare Deterioration Instrument fatigue, apathy signals, lack of precision Glyph Simplification Reduction in symbolic complexity over time Contextual Anchoring Fixed symbolic roles losing relevance or functional grounding The scoring framework enables both human and automated analysis. For example: AI Drift: Recursive LLMs producing tautological or degraded outputs. Archaeological Inscription: Linear A tablets showing ritualized formats, tool apathy, and rigid position clustering. Bureaucracy: Institutions generating forms and checklists with decoupled se This document constitutes a public disclosure of an invention under international patent law, intended to establish prior art and prevent subsequent patenting by other entities. This publication is timestamped and made permanently available via Zenodo/GitHub/Pinata to preserve authorship and structural origin.