K501 Research Proposes Proof-Bound Memory Framework for AI Systems

Researchers have published the K501 Information Space framework, proposing a new approach to artificial memory. The system treats persistent machine memory as an evidence-bound state transition problem rather than a simple retrieval task. This 'Proof Before State' principle requires explicit validation before external information becomes part of an AI's canonical state. The research dossier, including formal descriptions and comparative analysis, is publicly available on Zenodo. The framework distinguishes between cognition, memory, history, and meaning to address challenges of information integrity in AI systems.