Manuscript revision and pending experiment work, snapshot before restructuring

Clarity pass over the main text (36-item audit), Discussion rewrite and cut,
acknowledgements, Souly et al. as ref 62, lettered SI panels, model section
moved under Results; plus the untracked curriculum/society/compose/smol
configs, runners, figures, stats and tests that the SI already cites.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Y64o8FKP7rCuXzC48pxpMm

hpc/llm_compose.pbs

@@ -0,0 +1,43 @@
+#!/bin/bash
+# The composition campaign (prereg tasks/prereg-llm-compose-v3.md): one (seed, arm) per array
+# element. Seed 1 runs locally on the A4000 as the hedge; this array covers seeds 2-3 x 3 arms.
+# Each element trains its own founders (cached per seed under models/, first writer wins via the
+# adapter_config.json check) and checkpoints every generation, so a requeued element resumes.
+#   submit:  qsub hpc/llm_compose.pbs        status: qstat -u $USER -t
+#   index -> seed = 2 + (i-1)/3, arm = (dry grounded dry_cat)[(i-1)%3]
+#PBS -l select=1:ncpus=8:mem=64gb:ngpus=1:gpu_type=L40S
+#PBS -l walltime=08:00:00
+#PBS -N lam_compose
+#PBS -J 1-6
+
+cd "$PBS_O_WORKDIR"
+export HF_HOME="$EPHEMERAL/hf_cache"
+export HF_DATASETS_CACHE="$EPHEMERAL/hf_cache/datasets"
+export TOKENIZERS_PARALLELISM=false
+export UV_CACHE_DIR="$EPHEMERAL/uvcache"
+
+ARMS=(dry grounded dry_cat)
+I=$((PBS_ARRAY_INDEX - 1))
+SEED=$((2 + I / 3))
+ARM=${ARMS[$((I % 3))]}
+
+source .venv/bin/activate
+nvidia-smi --query-gpu=name,memory.total,driver_version --format=csv,noheader
+echo "seed=$SEED arm=$ARM start=$(date)"
+
+CFG="configs/llm/_gen/compose_s${SEED}_${ARM}.yaml"
+mkdir -p configs/llm/_gen
+python - "$SEED" "$ARM" "$CFG" <<'EOF'
+import sys, yaml
+seed, arm, out = int(sys.argv[1]), sys.argv[2], sys.argv[3]
+cfg = yaml.safe_load(open("configs/llm/compose_s1.yaml"))
+cfg["seed"] = seed
+cfg["arms"] = [arm]
+cfg["batch_size"] = 32          # L40S has 46 GB; the A4000 setting is 16
+cfg["score_batch_size"] = 8
+cfg["output"] = {"dir": f"results/llm_compose/s{seed}_{arm}"}
+yaml.safe_dump(cfg, open(out, "w"), sort_keys=False)
+EOF
+
+python -m llm.experiment "$CFG"
+echo "done: $(date)"