# """ "AI for scientific discovery" + "limitations" """
[{'title': 'Towards scientific discovery with generative ai: Progress, opportunities, and challenges',
  'url': 'https://ojs.aaai.org/index.php/AAAI/article/view/35084'},
 {'title': 'AI for scientific discovery',
  'url': 'https://www.taylorfrancis.com/books/mono/10.1201/9781003226642/ai-scientific-discovery-janna-hastings'},
 {'title': 'Theai for scientific discoverynetwork+',
  'url': 'https://www.cell.com/patterns/fulltext/S2666-3899(20)30218-X'},
 {'title': 'AI for Scientific Discovery: Automating Hypothesis Generation',
  'url': 'https://www.authorea.com/doi/full/10.22541/au.175044376.61922933'},
 {'title': 'Next Steps forAI for Scientific Discovery',
  'url': 'https://www.ncbi.nlm.nih.gov/books/NBK603473/'},
 {'title': 'Agenticai for scientific discovery: A survey of progress, challenges, and future directions',
  'url': 'https://arxiv.org/abs/2503.08979'},
 {'title': 'The ai scientist: Towards fully automated open-ended scientific discovery',
  'url': 'https://arxiv.org/abs/2408.06292'},
 {'title': 'The Quest for Autonomous Scientific Discoveries with Artificial Scientists',
  'url': 'https://search.proquest.com/openview/b515c9d4b98524c22a6a4ba3c62d396c/1?pq-origsite=gscholar&cbl=18750&diss=y'},
 {'title': 'Transforming science with large language models: A survey on ai-assisted scientific discovery, experimentation, content generation, and evaluation',
  'url': 'https://arxiv.org/abs/2502.05151'},
 {'title': 'The future of fundamental science led by generative closed-loop artificial intelligence',
  'url': 'https://arxiv.org/abs/2307.07522'},
 {'title': 'How Far Are AI Scientists from Changing the World?',
  'url': 'https://arxiv.org/abs/2507.23276'},
 {'title': 'Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science',
  'url': 'https://arxiv.org/abs/2412.09628'},
 {'title': 'AI4Research: A Survey of Artificial Intelligence for Scientific Research',
  'url': 'https://arxiv.org/abs/2507.01903'},
 {'title': 'Active Inference AI Systems for Scientific Discovery',
  'url': 'https://arxiv.org/abs/2506.21329'},
 {'title': 'Autonomous Scientific Discovery Through Hierarchical AI Scientist Systems',
  'url': 'https://www.preprints.org/manuscript/202507.1951/download/final_file'},
 {'title': 'Explain the Black Box for the Sake of Science: the Scientific Method in the Era of Generative Artificial Intelligence',
  'url': 'https://arxiv.org/abs/2406.10557'},
 {'title': 'Accelerating AI for science: Open data science for science',
  'url': 'https://royalsocietypublishing.org/doi/abs/10.1098/rsos.231130'},
 {'title': 'AI-based Scientific Research Assistants',
  'url': 'https://project-rachel.4open.science/Rachel.So.AI-based.Scientific.Research.Assistants.pdf'},
 {'title': 'Artificial intelligence for materials discovery',
  'url': 'https://www.cambridge.org/core/journals/mrs-bulletin/article/artificial-intelligence-for-materials-discovery/1C14BB0875B3F7950D28F89C61C1B153'},
 {'title': 'Realizing the Promise and Minimizing the Perils of AI for Science and the Scientific Community',
  'url': 'https://books.google.com/books?hl=zh-TW&lr=&id=WIUdEQAAQBAJ&oi=fnd&pg=PP1&dq=+%22AI+for+scientific+discovery%22+%2B+%22limitations%22+&ots=IPFvyKm7bm&sig=1YPbs3B5gtfCz_zibRwyu51MEa0'},
 {'title': "Researchers' perceptions of automating scientific research",
  'url': 'https://link.springer.com/article/10.1007/s00146-025-02190-4'},
 {'title': 'Strategic Frontiers of Generative AI in Science: Implications for Innovation and Management',
  'url': 'https://edeconomy.com/wp-content/uploads/2024/02/Strategic-Frontiers-of-Generative-AI.pdf'},
 {'title': 'AI for science: an emerging agenda',
  'url': 'https://arxiv.org/abs/2303.04217'},
 {'title': 'AI Agents for Deep Scientific Research',
  'url': 'https://openreview.net/forum?id=wODNrFtTT2'},
 {'title': 'Curie: Toward rigorous and automated scientific experimentation with ai agents',
  'url': 'https://arxiv.org/abs/2502.16069'},
 {'title': 'Accelerating Ai-Driven Scientific Discovery With End-To-End Learning and Random Projection',
  'url': 'https://search.proquest.com/openview/4e4a13b881975461b785a5883424acec/1?pq-origsite=gscholar&cbl=18750&diss=y'},
 {'title': 'Researcherbench: Evaluating deep ai research systems on the frontiers of scientific inquiry',
  'url': 'https://arxiv.org/abs/2507.16280'},
 {'title': 'Enhancing scientific discovery and decision-making: A knowledge graph-based research support system',
  'url': 'https://ceur-ws.org/Vol-3780/paper4.pdf'},
 {'title': 'We Need Improved Data Curation and Attribution inAI for Scientific Discovery',
  'url': 'https://arxiv.org/abs/2504.02486'},
 {'title': 'Leveraging foundation models for scientific research productivity',
  'url': 'https://pdfs.semanticscholar.org/a4ee/8d3ef5b152c8279dd3083c0abce336e2bb1d.pdf'},
 {'title': 'Artificial intelligence and illusions of understanding in scientific research',
  'url': 'https://www.nature.com/articles/s41586-024-07146-0'},
 {'title': 'How scientific knowledge production is changing organizationally, technologically, and globally',
  'url': 'https://search.proquest.com/openview/0f33f2d3fff2158e9212d551c8f09c74/1?pq-origsite=gscholar&cbl=18750&diss=y'},
 {'title': 'PiFlow: Principle-aware Scientific Discovery with Multi-Agent Collaboration',
  'url': 'https://arxiv.org/abs/2505.15047'},
 {'title': "Scientists' Perspectives on the Potential for Generative AI in their Fields",
  'url': 'https://arxiv.org/abs/2304.01420'},
 {'title': 'Llm-srbench: A new benchmark for scientific equation discovery with large language models',
  'url': 'https://arxiv.org/abs/2504.10415'},
 {'title': 'Iris: Interactive research ideation system for accelerating scientific discovery',
  'url': 'https://arxiv.org/abs/2504.16728'},
 {'title': 'Promises or Perils for Creativity?',
  'url': 'https://www.joserobertoafonso.com.br/wp-content/uploads/2025/04/artificial-intelligence-in-science-KI0125056ENN.pdf'},
 {'title': 'Scienceboard: Evaluating multimodal autonomous agents in realistic scientific workflows',
  'url': 'https://arxiv.org/abs/2505.19897'},
 {'title': 'AI on drugs: Can artificial intelligence accelerate drug development? Evidence from a large-scale examination of bio-pharma firms',
  'url': 'https://misq.umn.edu/misq/article/45/3/1451/1880'},
 {'title': 'AI4DifferentialEquations In Science',
  'url': 'https://openreview.net/forum?id=LQVSPCgHqF'}]

#search_keyword = """ "LLM-based autonomous agent" + "scientific research" + "failures" """
[{'title': 'A survey on large language model based autonomous agents', 'url': 'https://journal.hep.com.cn/fcs/EN/article/downloadArticleFile.do?attachType=PDF&id=37552'}, {'title': 'A Call for Collaborative Intelligence: Why Human-Agent Systems Should Precede AI Autonomy', 'url': 'https://arxiv.org/abs/2506.09420'}, {'title': 'Llm-Based Autonomous Agentfor Prognostics and Health Management', 'url': 'https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5267422'}, {'title': 'Collaborative evolving strategy for automatic data-centric development', 'url': 'https://arxiv.org/abs/2407.18690'}]

# search_keyword = """ "AI scientist" + "computational limitations" """
[{'title': 'Superintelligent agents pose catastrophic risks: Can scientist ai offer a safer path?',
  'url': 'https://arxiv.org/abs/2502.15657'},
 {'title': 'Theory is all you need: AI, human cognition, and causal reasoning',
  'url': 'https://pubsonline.informs.org/doi/abs/10.1287/stsc.2024.0189'},
 {'title': 'Towards scientific intelligence: A survey of llm-based scientific agents',
  'url': 'https://arxiv.org/abs/2503.24047'},
 {'title': 'A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications',
  'url': 'https://arxiv.org/abs/2506.12594'},
 {'title': 'Artificial Intelligence and Actor-Specific Decisions',
  'url': 'https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5279401'},
 {'title': 'Sparks: Multi-agent artificial intelligence model discovers protein design principles',
  'url': 'https://arxiv.org/abs/2504.19017'},
 {'title': 'Generative linguistics contribution to artificial intelligence: Where this contribution lies?',
  'url': 'https://arxiv.org/abs/2410.20221'},
 {'title': 'Surveyforge: On the outline heuristics, memory-driven generation, and multi-dimensional evaluation for automated survey writing',
  'url': 'https://arxiv.org/abs/2503.04629'},
 {'title': 'Human-machine shared contexts',
  'url': 'https://books.google.com/books?hl=zh-TW&lr=&id=Q9PVDwAAQBAJ&oi=fnd&pg=PP1&dq=+%22AI+scientist%22+%2B+%22computational+limitations%22+&ots=GKX1qTIuw5&sig=PfcHNP0td-XtZgoHmjzFZQn2EBE'},
 {'title': 'Industry Innovation in the Era of Artificial Intelligence: The AI Compass',
  'url': 'https://books.google.com/books?hl=zh-TW&lr=&id=mQhLEQAAQBAJ&oi=fnd&pg=PT10&dq=+%22AI+scientist%22+%2B+%22computational+limitations%22+&ots=QSiHtbg7GE&sig=_w9MYAokdtji1OXVNH8rFIkzTfA'},
 {'title': 'How will the State think with the assistance of ChatGPT? The case of customs as an example of generative artificial intelligence in public administrations',
  'url': 'https://www.econstor.eu/handle/10419/276989'},
 {'title': 'Control and Responsible Innovation in the Development of AI and Robotics Draft Final Report',
  'url': 'https://media-1.carnegiecouncil.org/import/studio/Control%20and%20Responsible%20Innovation--FINAL%20REPORT.pdf'},
 {'title': "Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 Experiment",
  'url': 'https://arxiv.org/abs/2411.03417'},
 {'title': 'Imitation and Large Language Models',
  'url': 'https://link.springer.com/article/10.1007/s11023-024-09698-6'},
 {'title': 'Defenses against Evasion Attacks in the Eyes of Automotive Industry: Review from a Practical Perspective',
  'url': 'https://ieeexplore.ieee.org/abstract/document/11114904/'},
 {'title': 'Automating knowledge acquisition for machine translation',
  'url': 'https://ojs.aaai.org/aimagazine/index.php/aimagazine/article/view/1323'}]


# search_keyword = """ "LLM knowledge gaps" + "scientific reasoning" """
[{'title': 'Position: LLMs Need a Bayesian Meta-Reasoning Framework for More Robust and Generalizable Reasoning', 'url': 'https://kclpure.kcl.ac.uk/portal/en/publications/position-llms-need-a-bayesian-meta-reasoning-framework-for-more-r'}]

# search_keyword = """ "foundational model" + "scientific hypothesis generation" + "biases" """
[{'title': 'Generative Innovation AI Part III (Generative Innovation AI–The Trilogy) Sense-Building-Mechanics-Engineering (SBME) Models & Designs (M&D)', 'url': 'https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5395739'}]





