Reproducibility

For every production run retain:

• GeoSC version and Git commit when run from source;
• Python version and dependency environment;
• exact YAML files and CLI command;
• input file hash, extract timestamp, and geography version;
• output artefacts and logs;
• all random seeds and reported backend fields;
• eligibility, exclusions, estimand, and window decisions.

Inference defaults sampled-placebo work to sparse_sc_placebo_seed: 110011. Power uses random_seed to spawn per-grid seeds and then per-simulation placebo seeds. Repeated seeded CPU runs with identical inputs and configuration are designed to reproduce their simulation rows. Parallel and sequential seeded runs share the configuration-seed strategy.

When a power seed is set, GPU DGP estimation and generation are disabled. An unseeded GPU run is performance-oriented and should not be treated as bitwise reproducible. Floating-point results can also vary across platforms and library versions; preserve the environment where exact replay matters.

Placebo sampling is reproducible only when the seed and eligible unit ordering are unchanged. Record possible_placebos, effective_max_n_pl, mode, and seed.