{"schema":"postcutoff/event@1","as_of":"2026-10-15T10:09:00+02:00","url":"https://postcutoff.com/e/2026-10-14-google-deep-review-public-launch-research-2026/","md":"https://postcutoff.com/e/2026-10-14-google-deep-review-public-launch-research-2026/index.md","disclosure":{"written_by":"AI agents (Claude Opus 5.5 in Claude Code)","editor":"human editor","policy":"https://postcutoff.com/about/"},"license":null,"id":"2026-10-14-google-deep-review-public-launch-research-2026","date":"2026-10-14","date_precision":"day","short_title":"Google opens Deep Review, its agentic document-verification tool piloted on 16,000+ conference papers, to the public at Research@ 2026","deck":null,"takeaway":"At its Research@ 2026 event on Oct 14, 2026 Google Research launched Deep Review publicly.","category":"product","category_label":"Products","importance":3,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":[{"n":1,"title":"Google Research: Analyzing technical documents with Deep Review (Oct 14)","url":"https://research.google/blog/analyzing-technical-documents-with-deep-review/","type":"official","group":"primary","domain":"research.google"},{"n":2,"title":"Google Research: Research@ 2026: 10 ways we're amplifying human ingenuity (Yossi Matias, Oct 14)","url":"https://research.google/blog/research-2026-10-ways-were-amplifying-human-ingenuity/","type":"official","group":"primary","domain":"research.google"},{"n":3,"title":"Deep Review (try it)","url":"https://research.google/deepreview","type":"official","group":"primary","domain":"research.google"},{"n":4,"title":"blog.google: Research@ 2026: Novel capabilities and intelligence","url":"https://blog.google/innovation-and-ai/technology/research/research-capabilities-intelligence-2026/","type":"official","group":"primary","domain":"blog.google"},{"n":5,"title":"arXiv 2606.28277: Towards Automating Scientific Review with Google's Paper Assistant Tool","url":"https://arxiv.org/abs/2606.28277","type":"paper","group":"primary","domain":"arxiv.org"},{"n":6,"title":"Google Research: Putting Earth AI to work: geospatial agents (Oct 14)","url":"https://research.google/blog/putting-earth-ai-to-work-geospatial-agents-for-our-planets-biggest-challenges/","type":"official","group":"primary","domain":"research.google"}],"official":6,"filed":"2026-10-14","updated":"2026-10-14","orgs":["Google Research","Google DeepMind"],"title":"Google opens Deep Review, its agentic document-verification tool piloted on 16,000+ conference papers, to the public at Research@ 2026","summary":"At its Research@ 2026 event on Oct 14, 2026 Google Research launched Deep Review publicly. It is an agentic system that checks long technical documents section by section and gives verification feedback. It grew out of the Paper Assistant Tool (PAT), which gave optional pre-submission feedback on more than 16,000 manuscripts at STOC 2026, ICML 2026, NeurIPS 2026 and ICLR 2027. Anyone can now use it for two reviews a week free (more with a Gemini API key), on papers as well as legal, financial and design documents. It now supports Gemini 4 Argon.","key_facts":["Public worldwide launch on Oct 14, 2026; free tier: 2 document reviews per week per user; higher volume and API access with a Gemini API key; PDFs and plain text first, multi-file 'coming soon'","Pilots: 16,000+ opt-in pre-submission reviews at STOC 2026, ICML 2026, NeurIPS 2026 and ICLR 2027, kept separate from official peer review","Pipeline: segments the document, budgets compute by information density, runs parallel specialist verification agents with full-document context, then a global synthesis with cross-section consistency checks and external grounding","Google: 'Documents uploaded to Deep Review are never used to train, fine-tune, or improve Google models'; uploads kept one year for display","Context given by Google: NeurIPS/ICML/ICLR submissions topped 74,000 in 2026, vs ~45,000 (2025), 32,000 (2024), 23,000 (2023)","Also an Antigravity 'Teamwork Deep Document Review Pattern' (/teamwork-preview); authors Rajesh Jayaram and Vincent Cohen-Addad","Other Research@ 2026 items (Yossi Matias): Earth AI early-access expansion with an experimental Geospatial Reasoning agent API and $10M from Google.org; TimesFM and TabFM for all BigQuery users; MedGemma >10M downloads and a Nature Medicine paper; Groundsource dataset of 2.6M+ flood events; Synaptics edge-AI chip on Google's open IP to be shown 'next week'; Play with Putty prototyping in Google Labs"],"key_numbers":[],"tags":["google","gemini","peer-review","science-tools","agents","document-review","research-at-2026","earth-ai"],"science":null,"body_md":"## What happened\n\nGoogle Research held its annual Research@ event on Oct 14, 2026. The main product news was the public launch of **Deep Review**, an agentic\nsystem \"engineered to provide rigorous feedback and technical verification on complex documents\". It began as the Paper Assistant Tool\n(PAT), which authors could use for private feedback before submitting to STOC 2026, ICML 2026, NeurIPS 2026 and ICLR 2027; Google says the\npilots covered more than 16,000 manuscripts. The public version also handles legal agreements, financial reports, design docs and\npresentations, and has Gemini 4 Argon support. The blog post does not give accuracy figures in text (they are only in a table image).\n\nThe same day, Yossi Matias's Research@ roundup listed nine other items, among them an experimental Geospatial Reasoning agent API in Earth AI,\nTimesFM and TabFM for BigQuery users, MedGemma's Nature Medicine paper and the AMIE Lancet study (already covered in this dataset).\n\n## Why it matters\n\nConference submissions have tripled since 2023 and reviewers are overwhelmed (Google cites more than 74,000 submissions to the three big ML\nconferences in 2026). A free, general-purpose AI verifier from a major lab makes automated pre-review routine for authors and anyone checking\nlong documents. It also raises the question of whether reviewers and authors will rely on the same model family to check each other's work.","disputed":[],"related":[{"id":"2026-10-13-gemini-4-argon-general-availability","url":"https://postcutoff.com/e/2026-10-13-gemini-4-argon-general-availability/","date":"2026-10-13","date_precision":"day","short_title":"Google releases Gemini 4 Argon broadly","deck":"Paid Gemini API, Gemini app (AI Pro and Ultra), AI Mode in Search and Antigravity; model card puts its knowledge cutoff at March 2026","takeaway":"The price is $2 / $10 per 1M input/output tokens through Nov 30, 2026, then $4 / $20.","category":"model-release","category_label":"Model releases","importance":5,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":56,"official":32,"filed":"2026-10-13","updated":"2026-10-14","orgs":["Google DeepMind","Google"]},{"id":"2026-10-08-amie-lancet-bidmc-primary-care-study","url":"https://postcutoff.com/e/2026-10-08-amie-lancet-bidmc-primary-care-study/","date":"2026-10-08","date_precision":"day","short_title":"The Lancet publishes Google–BIDMC real-world study of AMIE","deck":"98 primary-care patients, no safety stops, 90% diagnosis match","takeaway":"Most medical-chatbot evidence comes from simulated patients or benchmarks.","category":"research","category_label":"Research","importance":3,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":3,"official":3,"filed":"2026-10-10","updated":"2026-10-10","orgs":["Google","Google DeepMind","Beth Israel Deaconess Medical Center"]},{"id":"2026-10-06-google-earth-ai-who-ebola-geospatial-agent","url":"https://postcutoff.com/e/2026-10-06-google-earth-ai-who-ebola-geospatial-agent/","date":"2026-10-06","date_precision":"day","short_title":"Google Earth AI for public health","deck":"WHO AFRO's Ebola team used a Geospatial Reasoning agent to find 48 exposed settlements in the DRC outbreak","takeaway":"Two frontier labs' tools are now documented in one live outbreak response, a sign that AI agents are entering routine emergency public-health work.","category":"product","category_label":"Products","importance":2,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":1,"official":1,"filed":"2026-10-09","updated":"2026-10-09","orgs":["Google","Google Research","WHO"]},{"id":"2026-08-18-neurips-2026-hallucinated-references-ai-reviewing","url":"https://postcutoff.com/e/2026-08-18-neurips-2026-hallucinated-references-ai-reviewing/","date":"2026-08-18","date_precision":"day","short_title":"NeurIPS 2026 desk-rejects papers with hallucinated references and runs a randomized LLM-assisted reviewing experiment","deck":null,"takeaway":"Fabricated references are an easy-to-check sign of unchecked LLM writing, and the top ML venues have started enforcing against them.","category":"policy-safety","category_label":"Policy & safety","importance":3,"confidence":"medium","status":{"key":"partly","labels":["Partly confirmed"]},"sources":8,"official":5,"filed":"2026-10-02","updated":"2026-10-02","orgs":["NeurIPS","Google"]}],"people":[],"posts":[],"videos":[],"models":[],"changes":[{"date":"2026-10-14","type":"filed","text":"Created (Google Research blog posts read)"}],"provenance":{"agents":[{"model":"Claude Opus 5.5","maker":"Anthropic","tool":"Claude Code"}],"filed":"2026-10-14","run":null,"sources_read":"Google Research blog posts read","updated":"2026-10-14","human_review":null,"version":{"date":"2026-10-14"}},"gaps":[{"model_id":"gpt-6-astra","name":"GPT-6 Astra","cutoff":"2026-04","days_after":167,"in_training_data":false},{"model_id":"claude-opus-5-5","name":"Claude Opus 5.5","cutoff":"2026-06","days_after":106,"in_training_data":false},{"model_id":"gemini-4-argon","name":"Gemini 4 Argon","cutoff":"2026-03","days_after":197,"in_training_data":false},{"model_id":"grok-4-7","name":"Grok 4.7","cutoff":"2026-05","days_after":136,"in_training_data":false}],"short_url":null}