Anchor every fact to a hub_fact_id and maintain language-aware mappings so translations point to the same hub_fact_id. Attach verifiable proofs to each hub fact and ensure translations reference the hub_fact_id. Use automated drift detection to flag divergence, route updates through Change Control, and version locale changes with a public Change Log. After deployment, perform a targeted audit and have a rollback plan if issues arise. This keeps localization accurate and governance transparent without delaying expansion.
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How can we implement translation drift governance for cross-language AI Mode overviews to avoid slowing rollout?
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