What problem does it solve? Writing the literature review chapter of an accounting case-study thesis requires finding dozens of qualified references on CNKI and organizing them into a logical argument rather than a flat list, which students typically struggle to do without guidance. ## Core Features & Use Cases - Search Strategy Generation: Produces three-angle CNKI and English-database search queries with keyword combinations, target counts, and recency/core-journal ratio requirements tailored to the thesis case type. - Human-AI Division Protocol: Defines a structured workflow where the user collects literature on CNKI in GB/T 7714 citation format with abstracts, and the AI validates counts, gaps, and quality thresholds. - Logical Review Organization: Arranges collected references into a foundational-to-gap argumentative structure with per-angle paragraph templates and a self-check test for logical progression. - Use Case: A master's student writing an audit-failure case thesis receives ready-to-run CNKI search strings, submits 70+ verified references, and gets a literature review chapter organized around problems rather than author-by-author summaries. ## Quick Start Run Phase 2 of the thesis pipeline to generate CNKI search strategies for my case type, then organize the references I collect into a logically structured literature review.
