YouMind
Sign in

Slow Teacher's Root Reading

Installed by
17
FromYouMind

Showcase

Description

Slow Teacher's G-P-L-R Root Reading Method. This is not an ordinary paper summarization tool, but a professional "research thinking training coach." It uses the original G-P-L-R four-stage iceberg reading method (also called root reading method) to help you transform your understanding of top SCI papers from "comprehension" to "application": Stage G: Quickly lock in the core argument of the paper in the most plain language. Stage P: You play the role of the author, predicting the paper's argumentative script and figure layout. Stage L: AI precisely compares your prediction with the actual paper, points out key differences, and provides a full high-quality Chinese translation. Stage R: Explore layer by layer asking "why the author did this" to uncover the underlying first principles and argumentative wisdom. Unlike ordinary AI, it strictly forbids giving you direct answers; instead, it forces your brain to participate fully, like a one-on-one sparring session with a top journal reviewer. After reading a paper...

Related Skills

View all

Teaching Paper Architect

From teaching research accumulation to CSSCI/SSCI/SCI — making every teaching paper stand up to peer review. This is not a tool that writes your paper for you, but a paper architect that understands educational academic norms. It knows that IMRaD is not just four letters but a rigorous argument logic; that a literature review is not a list of references but a precise positioning of research gaps; that effect sizes are more convincing to reviewers than p-values. Seven-stage full-process coverage: Topic Focus (Innovation Three-Question Check) → Literature Review (Three-Level Coding + Funnel Writing) → Research Design (Quantitative/Qualitative/Mixed Approach Decision) → Data Analysis (Statistical Method Decision Tree) → Discussion Construction (Contribution Self-Check Matrix) → Language Refinement (AI Removal + Language Elevation + Revision Notes) → Journal Adaptation (Matching Matrix + Rejection Risk Pre-Reinforcement). Built-in Triple-Core Adversarial Engine: The Academic Writer handles output, the Language Elevation Officer polishes, and the Academic Gatekeeper has veto power—are the references real? Is the data reliable? Is the argument grounded in evidence? Does the contribution match the target journal level? Five dimensions are audited item by item; if any fail, it is sent back for rework. It doesn't just help you write well, it teaches you why the changes are made—each output includes revision notes, allowing you to truly improve your academic writing skills through iterations. Supports bilingual format validation (GB/T 7714 / APA 7th), suitable for daily teaching research accumulation, project conclusion output, and professional title evaluation sprints.

Y
10700
Write

Full-Process Academic Writing

"Full-Process Academic Writing" is an intelligent assistant tool designed for researchers, aimed at covering every stage of academic paper writing from initial conception to final submission. Whether you have just a vague research direction or have a draft that needs polishing, this tool provides systematic support to help you efficiently produce high-quality academic work. This tool guides you through four key stages. First is **Topic Planning**, which helps you refine preliminary ideas into concrete, feasible research topics and questions, and generates a comprehensive Topic Evaluation Report covering research framework, method matching, timeline planning, and resource bottleneck identification. Next is the **Literature Review** stage, assisting you in building search strategies, organizing core literature, and writing a logically rigorous literature review draft that identifies research gaps. The third stage is **Structured Writing**, where the tool designs a detailed paper outline based on your topic and literature review, and drafts the introduction, methods, body, and conclusions chapter by chapter, while also providing scientific chart code to ensure a complete structure and rigorous argumentation. Finally, the **Polishing and Revision** stage performs a comprehensive academic standard check, six-dimensional language polishing, and logical coherence review, and embeds an AI-assisted writing statement to ensure your final draft meets publishable professional standards. Throughout the writing process, this tool always adheres to academic ethics standards. All citations will be clearly flagged for verification and will never be fabricated. Output from each stage proceeds only after your confirmation, ensuring every step aligns with your research intent, allowing you to focus on expressing your ideas while leaving tedious formatting and standards to AI.

竹
12500

Paper Quick Note Generator

A 30-page paper due for tomorrow's group meeting; 40 papers to review for literature survey, each read from scratch, only to forget key points and lose that quotable line. Half of research time is spent on 'reading.' Paste an arXiv link or paper text and instantly receive a structured speed-reading note ready for use. ✨ Core Capabilities 1. Six-part speed-reading framework: Research Question / Core Method / Main Innovation / Key Conclusion / Limitations & Doubts / One-Sentence Summary 2. Automatically extracts 'quotable quotes' with location markers; copy directly for literature reviews. 3. Contribution breakdown: What's new compared to existing work, explained in plain language. 4. Critical perspective: Methodological flaws, overclaims, reproducibility risks pointed out point by point. 5. Optional outputs: Group meeting presentation outline / literature card / draft review paragraph / multi-paper comparison table. 6. Chinese-English terminology glossary, not machine-translated. 📱 Use Cases Graduate student thesis proposals and literature reviews, group meeting paper sharing, researchers tracking frontiers, tech professionals diving into technical papers; output can be posted on Zhihu or WeChat public accounts as academic content to attract readers. Make papers thinner—so you spend more time thinking than slogging through text.

穆
250

Information

Version
v2
Last updated
Runtime credits
Usage-based
Models
Auto

Ready to create something bolder?

Slow Teacher's Root Reading