1# REPRODUCE.md — WP31 PRISME23All commands run from the repository root with the project venv (`uv venv --python 3.12 .venv && uv pip install -p .venv/bin/python -r requirements-lock.txt`).45| Step | Command | Expected |6|---|---|---|7| Environment audit | `.venv/bin/python scripts/environment_audit.py --smoke` | `hardware/device_inventory.json`, CPU (and MPS/CUDA if present) forward/backward OK |8| Unit + property + integration tests | `.venv/bin/python -m pytest tests -q` | 23 passed (15 mandated invariants, controller target-freedom, dense ablation, 5 cache-equivalence tests) |9| Exact parameter counts | `.venv/bin/python scripts/count_params.py --all-configs --device meta` | backbone 99,502,848 / 446,744,064 / 1,149,339,648 (= proposal); workspace 2,631,173 / 10,505,221 / 21,655,813 |10| Analytic ops table | `.venv/bin/python scripts/estimate_flops.py --config configs/prisme_459m.yaml --T 4096` | 1.296 / 1.666 / 1.787 / 2.219 / 5.633 ×10⁹ ops/token |11| Synthetic data | `.venv/bin/python -c "import sys; sys.path.insert(0,'.'); from data.generators.synthetic import write_splits; print(write_splits('data/splits/synthetic_v1'))"` | 11 split files + manifest (sha256 as in `data/splits/synthetic_v1/manifest.json`) |12| Web corpus (optional, ~10 min, network) | `.venv/bin/python data/processors/prepare_corpus.py` | 290M train / 2.9M val / 2.9M locked test tokens, tokenizer 32,768 |13| Miniature end-to-end pipeline (CPU, ~minutes) | `scripts/reproduce_pilot.sh` | tiny backbone → editor bootstrap → labels → controller → routing JSON under `experiments/runs/` and `results/raw/` |14| Dry runs of every trainer | `.venv/bin/python -m training.pretrain --config configs/experiments/pretrain_103m.yaml --dry-run` etc. | exit 0 |15| Tables and figures | `.venv/bin/python scripts/make_tables.py && .venv/bin/python scripts/reproduce_figures.py --results results/raw/` | `paper/tables/*.tex`, `results/figures/*.pdf` |16| Claim audit | `.venv/bin/python scripts/verify_manuscript_claims.py` | `AUDIT PASS` |17| Manuscript | `cd paper && latexmk -pdf main.tex` | `paper/main.pdf` |1819Full-scale runs (Stage A 103M on an M3 Ultra ≈ 4 h; seed matrices on several nodes) are launched with20`scripts/cluster_setup.sh <node>`, `scripts/launch_seed_matrix.sh`, `scripts/run_stage_cd.sh` and21`scripts/launch_103m.sh`; their run ids are listed in `reproducibility/run_index.md`.22