OxAlphaTrace: Behavioral Fingerprinting for AI Model Provenance

OxAlphaTrace is a research project that uses behavioral fingerprinting to trace the provenance of AI language models, studying how reasoning patterns and performance signatures can identify where a model originates. The approach treats model behavior as a fingerprint rather than relying on metadata or self-reports, which is useful when model origins are obscured. The study covers multiple models across reasoning and performance dimensions.