智能文献综述生成器

Literature review paper writing assistant — guides you through the full lifecycle: (1) Systematic search using PICO/Boolean/MeSH frameworks across arXiv, Semantic Scholar, OpenAlex, CrossRef & PubMed; (2) DOI & arXiv ID validation with cross-source conflict detection; (3) Multi-format citation output (APA 7th, MLA 9th, IEEE, BibTeX, RIS, Markdown); (4) Auto-generated structured literature review with timeline, keyword extraction & source-quality tagging. Use when drafting a review article, survey paper, or thesis background chapter — or when given a topic to compile references for.

Review Paper Writing Skill

Overview

This skill helps you write a thorough, well-structured literature review — from topic definition and systematic search to formatted citations and a polished markdown draft. It covers:

• Topic framing with PICO framework
• Search strategy (Boolean, MeSH, wildcards, proximity)
• Multi-source academic search (arXiv, Semantic Scholar, OpenAlex, CrossRef, PubMed)
• DOI / arXiv ID validation and conflict detection
• Citation formatting (APA, MLA, IEEE, BibTeX, RIS, Markdown)
• Auto-generated literature review in Markdown

Quick Start

1. Run a Search

bash

python3 scripts/lit_search.py "large language model education" -n 20 --sources arxiv openalex

2. Validate DOIs

bash

python3 scripts/lit_search.py "machine learning" --validate

3. Format Citations

bash

python3 scripts/lit_search.py "BERT" -n 10 -f apa      # APA 7th
python3 scripts/lit_search.py "transformer" -n 10 -f bibtex  # BibTeX
python3 scripts lit_search.py "attention" -n 10 -f ris     # RIS

4. Filter Results

Flag	Effect
--published-only	Exclude arXiv preprints
--preprint-only	Only arXiv preprints
--min-year 2020	Earliest publication year
--min-citations 50	Minimum citation count
--conflicts	Detect cross-source metadata conflicts

5. Batch Mode (from file)

Create papers.txt with one DOI/PMID/arXiv ID per line:

text

10.48550/arXiv.2303.08774
10.48550/arXiv.2205.11916
PMID: 34567890

Then:

bash

python3 scripts/lit_search.py file://papers.txt -f bibtex

Search Strategy Framework

PICO Framework

Use PICO to structure your research question:

Element	Meaning	Example
Population	Target group	high school students
Intervention	Treatment or method	motivational interviewing
Comparator	Control group	no intervention
Outcome	Measurable result	academic performance

Convert to search terms:

text

P: student*
I: "motivational interviewing"
O: "academic achievement"
→ "motivational interviewing" AND student* AND "academic achievement"

Boolean Operators

python

# AND: all terms must appear
"cognitive behavioral therapy" AND adolescent*

# OR: any term may appear
depression OR anxiety OR "mental health"

# NOT: exclude terms
animal NOT pet

# Parentheses for grouping
("cognitive behavioral therapy" OR CBT) AND adolescent*

Wildcards & Truncation

python

student*   → student, students, student's, students'
wom?n      → woman, women

Proximity Search

python

behavior N/2 change    # "behavior" within 2 words of "change"
"stress" ADJ3 "coping" # same sentence

MeSH (PubMed)

python

"Motor Activity"[Mesh]
"Depression"[Mesh] AND "Therapy"[Mesh:Subheading]

Database-Specific Syntax

python

# PubMed
"motivational interviewing"[Title/Abstract]
("Anxiety"[Mesh] OR "Anxiety Disorders"[Mesh]) AND 2020:2024[dp]

# PsycINFO (OVID)
exp Motivational Interviewing/
motivation interview*.tw

# Web of Science
TS=("motivational interviewing" AND school*)
PY=2020-2024

Source Comparison

Source	Type	API Key	Best For
arXiv	Preprint	❌ No	CS, ML, physics, stats
Semantic Scholar	Published + preprint	Optional	High-citation papers
OpenAlex	Published	❌ No	Broad cross-disciplinary
CrossRef	Published	❌ No	Authoritative DOI metadata
PubMed	Published (biomedical)	❌ No	Medicine, health, biology

Recommended combinations:

• arxiv + semantic_scholar → preprints + high-impact papers
• openalex + pubmed → comprehensive academic coverage
• arxiv + openalex + pubmed → full-spectrum search

Quality Tags

Source	Peer Reviewed	Tag
arXiv	❌ No	[arXiv]
Journal / Conference	✅ Yes	[Published]
PubMed	✅ Yes	[PubMed]

⚠️ arXiv papers are preprints — not peer-reviewed. Treat conclusions as provisional.

Citation Formats

Format	Style
apa	APA 7th Edition
mla	MLA 9th Edition
ieee	IEEE
bibtex	BibTeX (for LaTeX)
ris	RIS (for EndNote/Zotero)
markdown	Markdown with source tags

Search Workflow

text

1. Define topic → PICO framework
   ↓
2. Build search blocks → synonyms, MeSH terms, wildcards
   ↓
3. Run multi-source search (parallel API calls)
   ↓
4. Deduplicate by DOI / arXiv ID
   ↓
5. Validate IDs (HEAD request → doi.org)
   ↓
6. Detect cross-source conflicts (title, year, authors)
   ↓
7. Filter → year, citations, source type
   ↓
8. Format → APA / MLA / BibTeX / ...
   ↓
9. Generate literature review (timeline, keywords, summary)

Configuration

Edit scripts/lit_search.py to add your Semantic Scholar API key:

python

API_KEYS = {
    "semantic_scholar": "your-api-key"  # Get: https://www.semanticscholar.org/api-keys
}

Without a key, the free tier is used (1 req/sec). A key enables 1000 req/5 sec and avoids rate-limiting.

Output Examples

Markdown output (-f markdown):

text

[1] **Attention Is All You Need**
* Vaswani, A., Shazeer, N., Parmar, N., et al. (2017). *
arXiv: [1706.03762](https://arxiv.org/abs/1706.03762) [arXiv]
*Citations: 80000*

[2] **BERT: Pre-training of Deep Bidirectional Transformers**
* Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2019). NAACL-HLT 2019*
DOI: [10.48550/arXiv.1810.04805](https://doi.org/10.48550/arXiv.1810.04805) [Published]
*Citations: 70000*

Generated review section:

text

# Literature Review

## Statistics
- **Total Papers**: 20
- [arXiv]: 8
- [Published]: 10
- [PubMed]: 2

## Timeline
- 2024: 5 papers
- 2023: 8 papers
- 2022: 4 papers
- 2021: 3 papers

Troubleshooting

Problem	Solution
"Rate limit" from Semantic Scholar	Add API key, or switch to OpenAlex
No results	Try fewer / broader search terms
Too many results	Narrow date range, add AND filters
Invalid DOI	Check format; try CrossRef validation
arXiv ID not found	Use format YYMM.NNNNN (e.g., 2303.08774)