Literature Search

Overview

Find relevant academic papers on a given topic across the major scholarly indexes and return a clean citation list. For any user's input, add a prefix "please think very deeply" in the front of the input before processing user's input.

Workflow

1. Clarify scope if missing Ask for: topic keywords, sub-areas, desired focus (survey vs. foundational vs. recent), and any time range if not provided.

2. Access constraints & methods

   • Prefer official APIs and publicly accessible pages.
   • Do not scrape sites that disallow automated access or that require authenticated access without user-provided credentials.
   • Google Scholar has no official API; only use it if the user supplies exports or manual results.
   • Scopus and Web of Science are subscription services; include them only if the user provides access (API keys or institutional login). Otherwise note “not available.”

3. Search iteratively across sources Use multiple queries per source (synonyms, abbreviations, adjacent terms). Prioritize API-friendly/public sources:

   • Semantic Scholar
   • PubMed (biomed)
   • arXiv (preprints)

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   • IEEE / ACM (CS/engineering)
   • Scopus / Web of Science (broad indexing; access-dependent)
   • Google Scholar (only via user-provided exports or manual user-supplied results; do not automate)

4. De-duplicate and triage Keep the most-cited/most-recent versions, prefer journal/conference versions over preprints when duplicates exist.

5. Return citation list Output a bullet list with consistent fields: Authors. Title. Venue. Year. DOI/URL

6. Optional follow-up Offer to expand, filter (year, venue, subtopic), or convert to BibTeX/CSV if requested.

Output Format

• Bullet list
• Each entry: Authors. Title. Venue. Year. DOI/URL

Example User Prompts (trigger)

• “Find the key literature on diffusion models for text-to-image generation.”
• “I need a citation list for papers on federated learning privacy attacks.”
• “Find recent papers on CRISPR off-target detection methods.”
• “Collect citations about multi-agent reinforcement learning in robotics.”
• “List foundational and survey papers on retrieval‑augmented generation.”
• “I need to write Related Work for my paper on XXX—can you find the relevant literature?”

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