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
This commit is contained in:
Giorgio Gilestro 2026-09-13 16:54:09 +01:00
parent e4804adabc
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# The composition campaign, seed 1 (prereg v3, amended after the generation-0 sweep of 2026-09-07).
#
# Arms. The gen-0 sweep found that the merge *weighting* dominates the operator: the a-priori 0.5/0.5
# blend fails under both operators (surplus -0.020 cat, -0.093 linear) while a selected weight passes
# (+0.080 linear at 0.2/0.8, +0.027 cat at 0.3/0.7). Weights are therefore chosen each generation on a
# disjoint validation split (E10, directed recombination) in every arm, and the operator is an
# explicit per-arm setting:
# dry — linear operator, no grounding [H2, H3, H5: does composition survive drift?]
# grounded — linear operator, g = 0.10 [H4: does immigration arrest it?]
# dry_cat — concatenation operator, no grounding [H6, revised: does the operator ordering hold
# across generations, or only at gen 0?]
experiment: llm_compose
kind: llm_compose
base_model: Qwen/Qwen2.5-1.5B
seed: 1
generations: 6
arms:
- dry
- grounded
- dry_cat
g: 0.1
n_hard: 150
n_gsm8k: 150
n_mbpp: 100
n_probe: 60
k_inherit: 300
epochs: 3
conf_gate: 0.85
spec_train: 1200
spec_epochs: 3
max_new_tokens: 320
batch_size: 16
score_batch_size: 4
train_batch_size: 2
train_max_len: 448
resume: true
lora:
r: 16
alpha: 32
output:
dir: results/llm_compose/s1
arm_ops:
dry: linear
grounded: linear
dry_cat: cat
n_hard_val: 60
merge_weights:
- - 0.5
- 0.5
- - 0.3
- 0.7
- - 0.2
- 0.8
- - 0.1
- 0.9