The detection-layer coordinate for identifying model distillation in AI outputs and systems.
A .com position naming the active problem of detecting whether an AI system has been built through distillation of another model's outputs.
Coordinated sets this position belongs to — the coverage it extends. Counts are the live cluster size in the graph.
Architectural context
Distillation · Cross-Vertical · 2 compound moats. Cross-cutting: Distillation, Detection.
Layer position: Cross-cutting
Why this is canonical
'Distillation detection' names a live and contested technical problem: determining whether a model's capabilities derive from distilling a frontier model's outputs — relevant to IP protection, competitive intelligence, and compliance. The string sits precisely at the intersection of AI provenance and model security.
Where it fits
A few directions this coordinate opens —
Illustrative, not exhaustive — held as a transferable canonical position, open to the buyer's own use.