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VIII. Conclusion

A Strong Take-Home Message: Provide a short, powerful summary of the study's main conclusions.
Reiterate Significance: Briefly restate the importance of your work without simply repeating the abstract.
No New Information: Do not introduce any new data, ideas, or citations in the conclusion.

IX. Acknowledgments

Give Credit: Thank any individuals who provided technical help, intellectual contributions (but not enough for authorship), or feedback.
Disclose Funding: Acknowledge all funding sources, grants, and scholarships that supported the research.

X. References

Cite Everything: Ensure every source cited in the text is listed in the references section, and vice-versa.
Maintain Consistency: Use a single, consistent citation style throughout the paper (e.g., APA, MLA, IEEE, Vancouver) as required by the target journal or institution.
Use a Reference Manager: Tools like Zotero, Mendeley, or EndNote can help manage citations and prevent errors.

XI. General Writing Tips

Clarity and Conciseness: Use clear, direct language. Avoid jargon where possible and define it if necessary. Write short, focused sentences.
Voice and Tense:
Methods & Results: Use the past tense ("We collected...", "The temperature increased...").
Introduction & Discussion: Use a mix of present tense for established knowledge ("Diabetes is a chronic disease...") and past tense for referring to specific studies ("Smith (2020) found...").
* Active Voice: Prefer active voice ("We conducted the experiment") over passive voice ("The experiment was conducted") for clarity, especially in the Introduction and Discussion.
Proofread Meticulously: Check for spelling, grammar, and punctuation errors. Read your paper aloud to catch awkward phrasing. Ask a colleague to review it before submission.
Avoid Plagiarism: Always give proper credit to the work and ideas of others through correct citation.

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By: @DataScienceT
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PaperDebugger: A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing

📝 Summary:
PaperDebugger is an in-editor, multi-agent academic writing assistant that integrates large language models directly into LaTeX environments. It allows deep interaction with document state and revision history for enhanced writing, review, and editing workflows.

🔹 Publication Date: Published on Dec 2

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.02589
• PDF: https://arxiv.org/pdf/2512.02589
• Project Page: https://www.paperdebugger.com/
• Github: https://github.com/PaperDebugger/PaperDebugger

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