A rain-gauge desk wants the same still tomorrow. How should reproducibility be implemented in the noise-to-image call?
Select an answer to reveal the explanation.
Short Explanation
Same still tomorrow means the same starting lottery number—pass a seed into the sampler. That’s a wiring knob, not a beauty contest.
Full Explanation
Reproducibility for the same still tomorrow is implemented by passing a seed into the noise sampler as an implementation control so the call can be repeated. That approach is correct for the rain-gauge desk. Civic generative audits, demos, and incident replay depend on seeded noise.
Opening a Domain 1 “which seed looks prettier” bake-off with no seed argument fails to wire reproducibility. Relying on uncontrolled random GPU noise forever fails repeatability. Storing only the output JPEG and assuming the sampler can recreate it without a seed fails reconstruction.
Exam caveat: seeds are implementation controls for noise sampling, not optional Domain 1 trivia. Operational check: require seed args on civic generate APIs, log seeds with outputs, and verify reruns match when seeds match. Align this choice with the agency’s published multimodal runbook so civic operators can audit why the configuration was accepted. Record the civic software choice in the service README—named modules, inputs, and domain—so operators can replay the same path during audits and handoffs. Prefer explicit, reversible civic decisions over silent assumptions when multimodal data or software paths move toward production.