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  "text": "7. PaperDebugger: A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing\n\n🔑 Keywords: PaperDebugger, Large Language Models, LaTeX editors, In-editor interaction, Revision pipelines\n\n💡 Category: AI Systems and Tools\n\n🌟 Research Objective:\n   - To develop an in-editor academic writing assistant (PaperDebugger) that embeds large language models directly into LaTeX editors for enhanced document management and interaction.\n\n🛠️ Research Methods:\n   - Integration of AI-powered reasoning into writing environments using a Chrome-approved extension, Kubernetes-native orchestration, and a Model Context Protocol toolchain supporting literature search and fine-grained document operations.\n\n💬 Research Conclusions:\n   - The PaperDebugger demonstrates the practicality and effectiveness of in-editor interactions, showcasing active user engagement and validating its utility as a minimal-intrusion AI writing assistant.\n\n👉 Paper link: https://t.co/jQ2moR95E2",
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