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Clean-Room derivation of 195 controls from BSI QUAIDAL (10 criteria + 15 building blocks + 30 measures + 140 metrics) for EU AI Act Art. 10 training-data quality compliance. - ingest_bsi_quaidal.py parses YAML frontmatter into a structural index (no protected prose stored on disk). - derive_quaidal_mcs.py rewrites each entry via local LLM (qwen3.5:35b-a3b) with a hard 4-gram plagiarism gate < 20%; achieved mean overlap 0.5%. - Migration 011 adds compliance.derived_controls table with full source provenance (framework, section, url, commit SHA, license note). - apply_quaidal_to_db.py UPSERTs YAML into DB. - Source repo (legal-sources/bsi-quaidal/) gitignored. Same pattern as IACE module DIN-reference handling: name the norm and section, never quote. Backed by BSI license clarification 2026-05: § 5 UrhG anwendbar, share:true im Frontmatter; Clean-Room derivation is the safe path. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>