Sync with paper v2: subset manifest, comparable corpus sizes

README.md

@@ -41,9 +41,11 @@ Armenian SFT.
   token seen ~2× and every ArmSTEM token 7–9× (Gemma-tokenizer accounting).
   The ArmSTEM stream is a 109,885-item subset of the corpus (~30%, sampled
   at random with balanced stratification across the math and science
-  pools). A control run trained on the full 373K corpus (~1.3 epochs
-  instead of 7–9) scores within noise of the released model (paper §5), so
-  the repetition is costless.
+  pools); its manifest ships with ArmSTEM (`stats/cpt_training_subset_ids.txt`,
+  104,630 items verbatim in the release, 5,255 superseded before release).
+  A control run trained on the full 373K corpus (~1.3 epochs instead of
+  7–9) scores within noise of the released model (paper §5), so the
+  repetition is costless.
 - **Details**: global batch 512 sequences (~2.1M tokens/step), 4,770 steps,
   100 warmup steps, AdamW (β₂=0.95), weight decay 0.1, bf16, seed 42.