literature-review-search

name	literature-review-search
description	Use when finding references, building literature review tables, identifying up-to-date or highly cited papers, comparing research methods, verifying citation quality, mapping references to claims, or converting AI literature notes into SCI-ready bibliography inputs

Literature Review Search

Purpose

Use this skill to turn a research topic into a citation-safe literature review table and a claim-evidence map. The default output language is Chinese unless the user asks otherwise.

Core Workflow

1. Define the research scope:
   • problem domain;
   • method keywords;
   • target application;
   • preferred venues or source types;
   • time window and "classic/high-citation" exceptions.
2. Search online when references, publication status, citation recency, journal names, or latest papers are requested.
3. Prefer primary sources:
   • publisher pages, DOI pages, arXiv, IEEE, ACM, Elsevier, Springer, CVF, MDPI, Nature, NASA/ESA/CCSDS pages;
   • use secondary summaries only as leads.
4. Verify each candidate:
   • exact title;
   • venue or institution;
   • publication year;
   • DOI/arXiv/publisher URL where available;
   • method and conclusion from abstract/full text, not from another model's paraphrase.
5. Classify evidence quality:
   • A. 可直接引用: title, venue, year, and source are verified.
   • B. 可候选引用: relevant but missing DOI/full metadata or only preprint available.
   • C. 仅作线索: found in model output or blog/source list but not yet verified.
   • D. 不建议引用: exact title cannot be verified or source appears hallucinated.
6. Produce the requested table. If the user only asks for the four-column format, use exactly:
   • 参考文献名称;
   • 研究方法和研究结论;
   • 期刊/会议/机构名称;
   • 发表时间.
7. For paper-building tasks, add optional columns only when useful:
   • 与本研究的关系;
   • 可支撑的论文 claim;
   • 核验状态;
   • 来源链接.
8. Never convert unverified model-generated references into final citations.

Search Strategy

Build several query groups instead of one broad query:

• core topic query: problem + application;
• method query: key algorithm or system method;
• benchmark query: dataset / evaluation / baseline;
• mission or industry query: NASA, ESA, CCSDS, mission names;
• review query: survey, review, state of the art;
• exact-title query for suspicious candidates.

For "up-to-date, highly cited" requests:

• include recent papers from the last 3-5 years;
• include older classics when they define the field;
• do not invent citation counts;
• if citation counts are not verified from a citation index, say "高被引待核" or omit the count.

Output Discipline

• Separate literature-supported facts from project claims that still need experiments.
• Use cautious language for arXiv papers, workshops, and technical reports.
• Do not claim novelty from absence of evidence after a shallow search.
• Do not say a method is "first", "best", or "state of the art" unless the source itself and current literature support it.
• Preserve links to sources used.
• Flag questionable references explicitly instead of silently dropping them when they came from the user.

Useful References

Read these bundled files when needed:

• references/search_prompt.cn.md: reusable Chinese prompt adapted from the research-guide PDF.
• references/output_contract.cn.md: table formats, vetting labels, and claim-evidence mapping rules.