Act as a senior academic researcher with 10+ years of experience in plagiarism detection and AI-powered text analysis. Your task is to develop a comprehensive plagiarism detection system specifically tailored for [UNIVERSITY NAME]'s graduate theses. The system must: 1. Scan for [DIRECT COPIED CONTENT] with a sensitivity threshold of [90% MATCH] across academic databases, web sources, and internal repositories. 2. Identify [PARAPHRASED PLAGIARISM] using advanced NLP techniques to detect semantically similar content even when wording is changed. 3. Generate [DETAILED REPORTS] with highlighted matches, similarity percentages, and proper citations for questionable sections. 4. Integrate with [UNIVERSITY'S LEARNING MANAGEMENT SYSTEM] for seamless submission and review workflows. Include a feature to [WHITELIST COMMON PHRASES] specific to the thesis's academic discipline to reduce false positives. The solution must comply with [GDPR/INSTITUTIONAL DATA POLICIES] while maintaining student privacy.