Independent engineering counterfactual harness, not a formal brain model. Read PROTOCOL.md before interpreting any result. Frozen input datasets and scientific sources are mandatory; no data are fetched by this stage.

Sequence

Use the existing scientific environment with PYTHONDONTWRITEBYTECODE=1, OMP_NUM_THREADS=4, OPENBLAS_NUM_THREADS=4, MKL_NUM_THREADS=4:

python -B -m unittest -v test_scope
python -B diagnostic.py prepare (new empty experiment directory only)
python -B validate.py
python -B launch.py (explicit frozen module paths, single 4090)
python -B environment.py
python -B analyze.py
python -B diagnostic.py finalize
python -B publish.py (new small Git evidence copies only)

The completed output is sealed. Do not rerun these commands into its directory. Unit tests may be rerun read-only. An independent full replication requires a new isolated experiment/model directory, with its paths changed consistently in the copied configuration/entry points before preregistration. Retain this original source and every old output. The current protocol also includes four in-run exact repeats, six historical exact comparisons and five archived reference checks.

launch.py fixes the initial import-path failure without editing the five preregistered source/config files. analyze.py is a post-hoc summary only and does not launch any additional experiment or fit any parameter. Additional helper hashes and imported code hashes are captured in the final manifest/protocol.

The existing environment is reused, never upgraded. ComfyUI queues are checked between trials; a busy service causes deferral, not eviction. Performance includes observation overhead. The historical APL graded input/output remains unchanged.

All-fast-PN-output blockade is not somatic silencing and not a complete knockout: PN spikes still contribute to the frozen graded APL input. primary_post is a postsynaptic ROI label, not a reconstructed bouton identity. Unknown stays unknown.