Google Research publicly released Deep Review on 2026-10-14. It grew out of the experimental Paper Assistant Tool (PAT), which gave opt-in pre-submission feedback on 16,000+ manuscripts at STOC 2026, ICML 2026, NeurIPS 2026 and ICLR 2027, and now covers design docs, presentations, and legal and financial documents. Users get two free reviews a week, can connect a Gemini API key for higher limits and the Deep Review API, and the system now supports Gemini 4 Argon.
Key Takeaways
- ✓Pilot scale: 16,000+ opt-in manuscripts across STOC, ICML, NeurIPS and ICLR (Google Research blog)
- ✓Review load: over 74,000 submissions to ICLR, NeurIPS and ICML this year vs ~45,000 in 2025, 32,000 in 2024 and 23,000 in 2023 (Google-reported)
- ✓Two free reviews per user per week; a Gemini API key unlocks higher limits and the Deep Review API; PDF and plain text at launch, multi-file coming (Deep Review)
- ✓Uploaded documents are never used to train or fine-tune Google models and are stored one year for display only
- ✓Antigravity adds a Teamwork Deep Document Review pattern via
/teamwork-preview; methodology in arXiv 2606.28277

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Google Research made Deep Review public on 2026-10-14. It evolved from the Paper Assistant Tool (PAT), which gave opt-in, pre-submission feedback on more than 16,000 manuscripts at STOC 2026, ICML 2026, NeurIPS 2026 and ICLR 2027, fully decoupled from official review. The motivation is a verification bottleneck: Google says ICLR, NeurIPS and ICML received over 74,000 submissions this year, up from about 23,000 in 2023.
Instead of a single long prompt, Deep Review runs a four-stage agentic pipeline: a segmenter agent splits the document into overlapping logical segments; adaptive budgeting gives denser sections such as proofs more compute; specialized agents verify segments in parallel while seeing the full document for cross-references; and a synthesis agent consolidates findings, reruns cross-section checks and uses external grounding tools against hallucination. It now supports Gemini 4 Argon. No head-to-head benchmark scores were published; the PAT methodology and pilot statistics are in arXiv 2606.28277.
Every user gets two free reviews per week; connecting a Gemini API key raises limits and enables the Deep Review API for CI and drafting workflows. PDF and plain text are supported at launch, with multi-file input coming. Uploads are never used to train Google models and are kept for one year for display. Antigravity also gains a Teamwork Deep Document Review pattern via /teamwork-preview.
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