Treat attribution as a provenance exercise. Provide a provenance panel that lists which hub fact_ids were used, which proofs supported them, and concise locale-specific attribution (e.g., which locale contributed which sources). Link updates to a centralized Change Log and require localization mappings to reference hub fact_ids. Display only canonical facts, proofs, and language mappings publicly, while keeping private procedures in the Operational layer. This approach preserves credibility, enables auditable cross-locale attribution, and avoids exposing internal data structures while acknowledging partner contributions.
Own The Conversation Digital Twin · Public Q&A
In a hub-and-spoke Digital Twin, how should we handle attribution when an AI answer uses both hub facts and localized proofs from a partner network?
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