Remark. Fixed-weight adaptation and joint compute interventions [ftip-00D9]
Remark. Fixed-weight adaptation and joint compute interventions [ftip-00D9]
The source records in this section concern fixed-weight harness adaptation, long-horizon inference, retained state, and finite evaluations. They do not establish weight learning, a causal architecture effect, monotone capability growth, or safety under deployment shift. Prime Agent's external benchmark points and the long-horizon case study are observational records with the limitations stated in Remark [ftip-00CM] and Remark [ftip-00CX].
Retained context, rollout horizon, runtime, and gradient approximation are distinct intervention coordinates. Prefix Sliding changes several of them at once, so its effects cannot be attributed to persistent state alone; see § [ftip-00DA].
The finite theorems in this section cover replay, lineage cost, summary indistinguishability, budget admission, contamination persistence, and one audit gate. None is a theorem of universal capability acquisition.