CARS (Collaborative Academic Research System) - Modular multi-agent academic research system. Uses Socratic dialogue, literature search, and the chessboard reading method to identify research gaps. Supports multi-topic management, cognitive diagnosis, literature scouting, and gap analysis. Trigger keywords: research project, research topic, academic research, literature review, research gap, research direction.
Literature deep-reading and deconstruction module. Invokes Gemini multimodal capabilities to deep-read PDF papers, outputs structured Markdown reports, then parses them into JSON for downstream Matrix Engine consumption. User-triggered.
Literature Scout Module. Orchestrates 5 agents to complete the entire literature retrieval process: keyword search / seed recommendation → relevance filtering → batch download. Triggered proactively by the user. Trigger keywords: search papers, find literature, 搜索文献, 找论文, seed recommendation, expand from seeds, 种子推荐, 扩展论文.
Matrix Engine module. Reads structured paper JSONs from hypotheses/translated/, extracts problem and method axes, builds a 2D chessboard matrix, identifies research gaps, and outputs matrix.json + matrix.csv. User-triggered.
Profile Module. Consolidates Socratic session transcripts into user_profile.json and synchronizes Project README metadata.
Socratic research guidance module. Four agents collaborate to extract raw cognitive material through multi-round dialogue. Supports cold start (zero-shot) and iterative guidance (with user profile). Outputs dialogue records for Profile Module, Literature Scout, and Matrix Engine. Trigger keywords: guide my research, help me think through, 引导我的研究, 帮我厘清, 帮我想想, 我不确定要研究什么, 研究方向, 研究主题, 我想探索, 我有个模糊的想法。