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Compared to its predecessor (v1, Lu et al., 2024 arXiv:2408.06292), The AI Scientist-v2 eliminates the reliance on human-authored code templates, generalizes effectively across diverse machine learning domains, and leverages a novel progressive agentic tree-search methodology managed by a dedicated experiment manager agent. Additionally, we enhance the AI reviewer component by integrating a Vision-Language Model (VLM) feedback loop for iterative refinement of content and aesthetics of the figures. We evaluated The AI Scientist-v2 by submitting three fully autonomous manuscripts to a peer-reviewed ICLR workshop. Notably, one manuscript achieved high enough scores to exceed the average human acceptance threshold, marking the first instance of a fully AI-generated paper successfully navigating a peer review. This accomplishment highlights the growing capability of AI in conducting all aspects of scientific research. We anticipate that further advancements in autonomous scientific discovery technologies will profoundly impact human knowledge generation, enabling unprecedented scalability in research productivity and significantly accelerating scientific breakthroughs, greatly benefiting society at large. We have open-sourced the code at https://github.com/SakanaAI/AI-Scientist-v2 to foster the future development of this transformative technology. We also discuss the role of AI in science, including AI safety.","external_url":"https://arxiv.org/abs/2504.08066","cited_by_count":23,"metadata_source":"pith","metadata_fetched_at":"2026-08-05T02:28:24.338817+00:00","pith_arxiv_id":"2504.08066","created_at":"2026-05-08T19:14:04.117985+00:00","updated_at":"2026-08-05T02:28:24.338817+00:00","title_quality_ok":true,"display_title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","render_title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search"},"hub":{"state":{"work_id":"fa04f346-ee20-4e9d-bf04-3ad3569a8ed1","tier":"super_hub","tier_reason":"100+ Pith inbound or 10,000+ external citations","pith_inbound_count":111,"external_cited_by_count":23,"distinct_field_count":16,"first_pith_cited_at":"2025-05-16T15:02:19+00:00","last_pith_cited_at":"2026-07-09T17:55:53+00:00","author_build_status":"needed","summary_status":"needed","contexts_status":"needed","graph_status":"needed","ask_index_status":"needed","reader_status":"not_needed","recognition_status":"not_needed","updated_at":"2026-08-22T20:59:18.434418+00:00","tier_text":"super_hub"},"tier":"super_hub","role_counts":[{"context_role":"background","n":16},{"context_role":"dataset","n":1},{"context_role":"other","n":1}],"polarity_counts":[{"context_polarity":"background","n":14},{"context_polarity":"unclear","n":2},{"context_polarity":"support","n":1},{"context_polarity":"use_dataset","n":1}],"runs":{"ask_index":{"job_type":"ask_index","status":"succeeded","result":{"title":"The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search","claims":[{"claim_text":"AI is increasingly playing a pivotal role in transforming how scientific discoveries are made. 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