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_curriculum_timing.pbs

@@ -0,0 +1,38 @@
+#!/bin/bash
+# Conflict-arrival curricula (manuscript revision 2026-09-12): seeds 1-3 x {early, early_obl, late,
+# late_obl} = 12 elements. early/late = isolated + declinable society (~40 min); *_obl = obligate
+# society only (~20 min). Output results/llm_curriculum_v5_<name>/s{seed}/.
+#   submit: qsub hpc/llm_curriculum_timing.pbs     status: qstat -u $USER -t
+#   index -> seed = 1 + (i-1)/4, name = (early early_obl late late_obl)[(i-1)%4]
+#PBS -l select=1:ncpus=8:mem=64gb:ngpus=1:gpu_type=L40S
+#PBS -l walltime=01:30:00
+#PBS -N lam_timing
+#PBS -J 1-12
+
+cd "$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="$EPHEMERAL/uvcache"
+export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
+source .venv/bin/activate
+nvidia-smi --query-gpu=name,memory.total,driver_version --format=csv,noheader
+mkdir -p configs/llm/_gen
+NAMES=(early early_obl late late_obl)
+I=$((PBS_ARRAY_INDEX - 1))
+SEED=$((1 + I / 4))
+NAME=${NAMES[$((I % 4))]}
+echo "seed=$SEED config=$NAME start=$(date)"
+CFG="configs/llm/_gen/curriculum_v5_${NAME}_s${SEED}.yaml"
+python - "$SEED" "$NAME" "$CFG" <<'PYEOF'
+import sys, yaml
+seed, name, out = int(sys.argv[1]), sys.argv[2], sys.argv[3]
+cfg = yaml.safe_load(open(f"configs/llm/curriculum_v5_{name}.yaml"))
+cfg["seed"] = seed
+cfg["batch_size"] = 48                       # L40S: 46 GB (matches the v5 seeds 2-3 runs)
+cfg["train_batch_size"] = 4
+cfg["output"] = {"dir": f"results/llm_curriculum_v5_{name}/s{seed}"}
+yaml.safe_dump(cfg, open(out, "w"), sort_keys=False)
+PYEOF
+python -m llm.experiment "$CFG"
+echo "done: $(date)"