web-search-advanced-research-paper（网络搜索高级研究论文）

Web Search Advanced - Research Paper Category

Tool Restriction (Critical)

ONLY use web_search_advanced_exa with category: "research paper". Do NOT use other categories or tools.

Full Filter Support

The research paper category supports ALL available parameters:

Core

• query (required)
• numResults
• type ("auto", "fast", "deep", "neural")

Domain filtering

• includeDomains (e.g., ["arxiv.org", "openreview.net"])
• excludeDomains

Date filtering (ISO 8601)

• startPublishedDate / endPublishedDate
• startCrawlDate / endCrawlDate

Text filtering

• includeText (must contain ALL)
• excludeText (exclude if ANY match)

Array size restriction: includeText and excludeText only support single-item arrays. Multi-item arrays (2+ items) cause 400 errors. To match multiple terms, put them in the query string or run separate searches.

Content extraction

• textMaxCharacters / contextMaxCharacters
• enableSummary / summaryQuery
• enableHighlights / highlightsNumSentences / highlightsPerUrl / highlightsQuery

Additional

• userLocation
• moderation
• additionalQueries
• maxAgeHours / livecrawlTimeout
• subpages / subpageTarget

Token Isolation (Critical)

Never run Exa searches in main context. Always spawn Task agents:

• Agent calls web_search_advanced_exa with category: "research paper"
• Agent merges + deduplicates results before presenting
• Agent returns distilled output (brief markdown or compact JSON)
• Main context stays clean regardless of search volume

When to Use

Use this category when you need:

• Academic papers from arXiv, OpenReview, PubMed, etc.
• Scientific research on specific topics
• Literature reviews with date filtering
• Papers containing specific methodologies or terms

Examples

Recent papers on a topic:

web_search_advanced_exa {
  "query": "transformer attention mechanisms efficiency",
  "category": "research paper",
  "startPublishedDate": "2024-01-01",
  "numResults": 15,
  "type": "auto"
}

Papers from specific venues:

web_search_advanced_exa {
  "query": "large language model agents",
  "category": "research paper",
  "includeDomains": ["arxiv.org", "openreview.net"],
  "includeText": ["LLM"],
  "numResults": 20,
  "type": "deep"
}

Output Format

Return:

1. Results (structured list with title, authors, date, abstract summary)
2. Sources (URLs with publication venue)
3. Notes (methodology differences, conflicting findings)