Deterministic Inference & Model Version Pinning

Organizations should ensure each synthetic subject execution can be attributed to a known and reproducible build, model artifact, and runtime configuration.

Models, system prompts, fine-tunes, tools, and related artifacts should be produced through reproducible builds. Model weights and checkpoints should be signed, version-pinned, and integrity-verified before deployment.

For accountable decisions, the model, version, configuration, and inference parameters should remain fixed, with deterministic and batch-invariant execution used where reproducibility is required. This allows investigators to identify what ran and reconstruct the conditions that produced an output.