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Cognitive architecture for AI-augmented software development with structured memory, ensemble validation, and closed-loop correction. FAIR-aligned artifacts, 84% cost reduction via human-in-the-loop, standards adopted by 100+ organizations.

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--- description: Check a file for citation quality and GRADE compliance category: research-quality --- # Citation Check Command Quick check of a single file for citation validity and GRADE-appropriate hedging. ## Instructions When invoked, perform quick citation check: 1. **Parse File** - Extract all citations (REF-XXX, @-mentions, author-year) - Map each citation to its GRADE level (from quality assessments) 2. **Check Hedging Compliance** - For each citation, verify the surrounding language matches GRADE level: - HIGH: "demonstrates", "shows", "confirms" - OK - MODERATE: "suggests", "indicates" - OK - LOW: Must use "limited evidence", "some data" - VERY LOW: Must use "anecdotal", "exploratory" 3. **Report** - List each citation with its GRADE level - Flag violations (overclaiming) - Suggest fixes for violations 4. **Auto-Fix (--fix)** - Replace overclaiming language with GRADE-appropriate hedging - Preserve meaning while adjusting confidence level ## Arguments - `[file-path]` - File to check (required) - `--fix` - Automatically fix hedging violations - `--strict` - Treat all GRADE violations as errors ## References - @.claude/rules/citation-policy.md - Citation policy - @.aiwg/research/docs/grade-assessment-guide.md - GRADE guide - @agentic/code/frameworks/sdlc-complete/agents/citation-verifier.md - Verifier agent