ArXiv Watcher Skill

This skill provides systematic ArXiv paper search with structured query strategies, duplicate handling, and comprehensive audit trail for academic research workflows.

Capabilities

Structured Search Strategy: Implements domain-specific search strategies based on research objectives
CS Category Filtering: Searches only within arXiv CS (Computer Science) category
Time Range Enforcement: Strictly adheres to specified date ranges
Duplicate Handling: Automatically merges results from multiple queries and removes duplicates
Rate Limit Management: Implements multi-round search strategies for large date ranges
Comprehensive Logging: Maintains detailed records of all search activities and results

Research Domain Configuration

Music Generation Search Strategy

Primary Objective: Systematically map the methodological landscape, data/training resources, evaluation benchmarks, and SOTA trends in music generation over the past two years.

Strong Relevance Keywords: - music generation - song generation - text-to-music - text-to-song - lyrics-to-music - image-to-music - video-to-music - video-guided music generation - text-to-midi - symbolic music generation - music synthesis

Weak Relevance Keywords (require additional verification): - editing - controllable generation - instruction-following

Related Paper Types (strong relevance if combined with music keywords): - survey - benchmark - evaluation - dataset

Search Implementation

Query Construction

Base Query: Combines strong relevance keywords with OR logic
Category Filter: Restricts to cat:cs.* (Computer Science)
Date Filter: Uses submittedDate range with strict bounds
Duplicate Prevention: Tracks paper IDs across multiple queries

Rate Limit Handling

For large date ranges (>6 months), implements multi-round strategy: 1. Chunk by Quarter: Split date range into quarterly segments 2. Sequential Queries: Execute queries sequentially with delay 3. Merge Results: Combine and deduplicate across all segments 4. Progress Tracking: Log completion status for each segment

Result Processing

Deduplication: Remove papers appearing in multiple query results
Metadata Extraction: Extract title, authors, abstract, submission date, arXiv ID
Relevance Tagging: Tag papers with primary keywords that matched
Structured Output: Generate standardized paper list format

Output Format

Local File Storage

Search Log: research/{domain}/search_results/arxiv_search_log.md
Paper List: research/{domain}/search_results/paper_list.json
Directory Structure: Automatically created if missing

Search Log Structure

Each search session includes: - Session Header: Date, domain, time range, search objective - Query Strategy: Detailed keyword combinations and search parameters
- Execution Details: Query chunks, rate limit handling, completion status - Results Summary: Total papers found, duplicates removed, final count - Individual Results: Structured list of all papers with metadata

Paper List Format (JSON)

{
  "search_metadata": {
    "domain": "music_generation",
    "time_range": {"start": "2024-06-01", "end": "2026-02-27"},
    "keywords": ["music generation", "song generation", ...],
    "total_papers": 187,
    "search_date": "2026-02-28"
  },
  "papers": [
    {
      "title": "Paper Title",
      "authors": ["Author1", "Author2"],
      "abstract": "Paper abstract...",
      "arxiv_id": "2602.xxxxx",
      "submission_date": "2026-02-23",
      "matched_keywords": ["music generation"],
      "category": "cs.SD",
      "url": "https://arxiv.org/abs/2602.xxxxx"
    }
  ]
}

Usage Examples

# Search music generation papers for full date range
arxiv_watcher --domain "music_generation" --start_date "2024-06-01" --end_date "2026-02-27" --keywords "music generation,song generation"

# Search recent papers only  
arxiv_watcher --domain "music_generation" --days 15 --keywords "music generation,song generation"

Files Created

research/{domain}/search_results/arxiv_search_log.md
research/{domain}/search_results/paper_list.json
Directory structure automatically created if missing

Audit Trail Requirements

All search activities must include: - Complete query strategy documentation - Execution progress tracking - Duplicate handling records - Final result validation

arxiv-watcher-music

Installation