State self-distillation and the absent random control

README.md

@@ -123,6 +123,21 @@ that bias would move.
 **RLHF Book ch. 4** for the SFT setup: prompt and system tokens carry no
 loss, and the learning rate sits in the stated range.
 
+**Self-distilled.** The teacher that wrote these replies is the same base
+model, Qwen3-4B-Instruct-2507, with the constitution in its prompt. It is not
+a stronger model. The constitution is doing the work, which is the point: the
+register is available to the base when it is described, and training moves it
+into the weights so it holds with nothing in the prompt. Stated because
+`voice_rows` accepts a `model=` argument it never uses, so a reader would
+otherwise reasonably assume a separate teacher (RLHF Book ch. 12: training on
+a model's own output teaches it its own habits, which is acceptable here and
+should not be assumed).
+
+**No random-selection control** (RLHF Book ch. 9). Rows were kept when they
+were complete, not when a judge scored them, so there is no reward selection
+for a random arm to control against. Recorded so the absence is not read as
+an oversight of the kind that applies to reward-selected sets.
+
 ## Training
 
 LoRA rank 16, alpha 32, two epochs, learning rate 1e-4, bf16, 630 rows. Final