C.18.1:9 - Archetypal Grounding (post-2015; informative)

• LLM scaling. Kaplan-style & Chinchilla-optimal regimes; Mixture-of-Experts and retrieval-augmented families shift effective capacity with different inference budgets; prompt-policies often transfer better than narrow pipelines.
• RL/Planning. Model-based optimization & general agents vs hand-tuned controllers; slopes reported wrt budget/FoA under safety envelopes.
• QD/OEE. MAP-Elites, CMA-ME, DQD, QDax; POET/Enhanced-POET families: coverage/illumination as telemetry metrics; parity uses fixed grids/spaces and edition pins.

Constructed classification case. A matched-probe account supports unchanged performance across the declared resource window, with uncertainty small enough for the comparison’s stated tolerance. Report flat; the absence of a knee does not turn it into rising. In a second account, the uncertainty still permits both an increase and a decrease that would matter to the choice. Leave χ unassigned and retain that limitation. A supported monotone increase without a confirmed slope drop can instead support rising. These supplied accounts illustrate classification and its limit; they are not empirical scaling results.