Track Latest AI Research Papers

Monitor arXiv paper feeds for research topic of interest and alert on new preprints matching user criteria

Researcher staying current on rapid-moving fields (ML, quantum, NeurIPS-era AI) without manual arXiv.org browsing.

• · arXiv category/subcategory filters (cs.AI, physics.quant-ph, etc.)
• · Keyword or semantic search queries
• · Alert frequency (daily, weekly digest)

• · Email or Slack digest of matching papers
• · Structured metadata (title, authors, abstract, submission date)
• · Optional: AI summary or relevance scoring per paper

• · arXiv API (arxiv.org/api/query)
• · Email or Slack webhook for notifications
• · Semantic search / embedding model (optional, for relevance ranking)

• · arXiv API access (rate-limited to ~3 requests/sec, documented)
• · Notification service endpoint (email, Slack, Telegram)
• · Cron or cloud scheduler for periodic polling

• · Keyword-only search overly broad (thousands of papers per day)
• · arXiv API rate limit hit if checking too frequently
• · False positives from keyword ambiguity (e.g. 'agent' matches agents + insurance agents)
• · Submission latency (papers appear 1-2 days after upload) may delay notifications
• · Archived papers removed from arXiv not tracked

• · Direct arXiv API integration (no scraping, official access)
• · Category/subcategory filtering reduces noise
• · Semantic search optional for relevance ranking (embedding models)