The mathematical proof of AI Model Collapse via Semantic Contraction.
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Updated
Jan 10, 2026 - Jupyter Notebook
The mathematical proof of AI Model Collapse via Semantic Contraction.
Project on Model Collapse in LLMs – Big Data Engineering (MSc), supervised by Prof. V. Moscato, PhD G. M. Orlando and PhD D. Russo (2025)
Governance + provenance framework to prevent AI model collapse via semantic fingerprinting, cryptographic lineage, and federated trust. DOI: https://osf.io/ufek5
A Python framework for measuring and enforcing semantic stability in LLMs through Geometric Information Theory. Implements Origin Node Invariance and Causal Language Syntax (CLS) to detect and prevent model collapse.
Experiments for my Bachelor's thesis on fine-tuning language models and analyzing model collapse on synthetic generational data.
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