{"ai_json_enabled":true,"answer":"A provenance panel should list locale_fact_id, proofs_used, attribution_summary, and a link to the related Change Log entry. It should surface only canonical facts, proofs and language mappings publicly, while keeping internal graph structures and private workflows in the Operational layer. The panel can include locale-level contribution breakdowns and a path from hub_fact_id to the localized proofs, allowing users to see how localization informs an answer without revealing private processes.","answer_source":"approved_business_brain_plus_existing_public_conversation","category":"Local AI Discovery","category_slug":"local-ai-discovery","created_at":"2026-10-14T19:31:05+00:00","daily_publish_cap":5,"date_published":"2026-10-14","display_date":"2026-10-14","drip_batch":"daily_otc_mixed_intelligence_layer","drip_status":"published_topup","editor_images":[],"editor_media_build":"","editor_videos":[],"id":"otc-daily-20261014-1fdf7a72","image_ids":[],"image_url":"","last_updated":"2026-10-14T19:33:05+00:00","local_cache_status":"pending_airtable_sync","publish_status":"published","published":true,"published_at":"2026-10-14T19:31:05+00:00","question":"How can we design a provenance panel to attribute which locale contributed to an AI answer, and which proofs were used, without exposing internal data structures?","question_intent":"natural_otc_conversation","rss_enabled":true,"rss_pub_date":"Wed, 14 Oct 2026 19:31:05 GMT","scheduled_for":"2026-10-14T19:31:05+00:00","schema_enabled":true,"site_key":"owntheconversationonline","slug":"how-can-we-design-a-provenance-panel-to-attribute-which-locale-contributed-to-an-ai-answer-and-which-proofs-were-used-without-exposing-internal-data-structures","source":"daily_qa_otc_connected_followup","source_queue_id":"","source_record_ids":[],"source_type":"daily_qa_otc_connected_followup","source_urls":[],"status":"active","tags":["provenance","local attribution","hub facts","translations","daily OTC conversation","connected followup","daily drip"],"updated_at":"2026-10-14T19:33:05+00:00"}
