% Bibliografia do Workshop Agentes (DCP-USP 2026)
% Correspondente a referencias.md. Conferir volume/páginas/DOI antes de citação formal.

@techreport{korinek2025agents,
  author      = {Korinek, Anton},
  title       = {{AI} Agents for Economic Research},
  institution = {National Bureau of Economic Research},
  type        = {NBER Working Paper},
  number      = {34202},
  year        = {2025},
  url         = {https://www.nber.org/papers/w34202}
}

@article{korinek2023generative,
  author  = {Korinek, Anton},
  title   = {Generative {AI} for Economic Research: Use Cases and Implications for Economists},
  journal = {Journal of Economic Literature},
  volume  = {61},
  number  = {4},
  pages   = {1281--1317},
  year    = {2023}
}

@misc{cunningham2026claudecode,
  author       = {Cunningham, Scott},
  title        = {Claude Code (s{\'e}rie de ensaios)},
  howpublished = {Scott's Mixtape Substack},
  year         = {2026},
  url          = {https://causalinf.substack.com/s/claude-code}
}

@misc{cunningham_mixtapetools,
  author       = {Cunningham, Scott},
  title        = {{MixtapeTools}: Tools for Coding, Teaching, and Presentations with {AI} Assistance},
  howpublished = {GitHub repository},
  year         = {2026},
  url          = {https://github.com/scunning1975/MixtapeTools}
}

@book{cunningham2021mixtape,
  author    = {Cunningham, Scott},
  title     = {Causal Inference: The Mixtape},
  publisher = {Yale University Press},
  address   = {New Haven},
  year      = {2021}
}

@misc{lyttelton2026coding,
  author       = {Lyttelton, Thomas and Massenkoff, Maxim and Wilmers, Nathan},
  title        = {Coding Agents in the Social Sciences},
  howpublished = {Anthropic Research},
  year         = {2026},
  month        = may,
  url          = {https://www.anthropic.com/research/coding-agents-social-sciences}
}

@article{barrie2025replication,
  author  = {Barrie, Christopher and Palmer, Alexis and Spirling, Arthur},
  title   = {Replication for Language Models: Problems, Principles, and Best Practice for Political Science},
  journal = {American Journal of Political Science},
  year    = {2025},
  note    = {Aceito para publica{\c{c}}{\~a}o},
  url     = {https://arthurspirling.org/documents/BarriePalmerSpirling_TrustMeBro.pdf}
}

@article{ludwig2026llm,
  author  = {Ludwig, Jens and Mullainathan, Sendhil and Rambachan, Ashesh},
  title   = {Large Language Models: An Applied Econometric Framework},
  journal = {Annual Review of Economics},
  volume  = {18},
  pages   = {283--316},
  year    = {2026},
  note    = {NBER Working Paper 33344}
}

@misc{anthropic2024effective,
  author       = {Schluntz, Erik and Zhang, Barry},
  title        = {Building Effective Agents},
  howpublished = {Anthropic Engineering},
  year         = {2024},
  month        = dec,
  url          = {https://www.anthropic.com/engineering/building-effective-agents}
}

@misc{anthropic2025context,
  author       = {{Anthropic}},
  title        = {Effective Context Engineering for {AI} Agents},
  howpublished = {Anthropic Engineering},
  year         = {2025},
  url          = {https://www.anthropic.com/engineering/effective-context-engineering-for-ai-agents}
}

@misc{willison2025agent,
  author       = {Willison, Simon},
  title        = {I Think ``Agent'' May Finally Have a Widely Enough Agreed Upon Definition to Be Useful Jargon Now},
  howpublished = {simonwillison.net},
  year         = {2025},
  month        = sep
}

@misc{willison2025trifecta,
  author       = {Willison, Simon},
  title        = {The Lethal Trifecta for {AI} Agents: Private Data, Untrusted Content, and External Communication},
  howpublished = {simonwillison.net},
  year         = {2025},
  month        = jun,
  url          = {https://simonwillison.net/2025/Jun/16/the-lethal-trifecta/}
}

@misc{diveclaudecode2026,
  title         = {Dive into {Claude Code}: The Design Space of Today's and Future {AI} Agent Systems},
  author        = {Liu, Jiacheng and Zhao, Xiaohan and Shang, Xinyi and Shen, Zhiqiang},
  year          = {2026},
  eprint        = {2604.14228},
  archivePrefix = {arXiv},
  url           = {https://arxiv.org/abs/2604.14228}
}

@misc{linuxfoundation2025aaif,
  author       = {{Linux Foundation}},
  title        = {Linux Foundation Announces the Formation of the Agentic {AI} Foundation ({AAIF})},
  year         = {2025},
  month        = dec,
  url          = {https://www.linuxfoundation.org/press/linux-foundation-announces-the-formation-of-the-agentic-ai-foundation}
}

@misc{santanna2026workflow,
  author       = {Sant'Anna, Pedro H. C.},
  title        = {claude-code-my-workflow: A Ready-to-Fork {Claude Code} Template for Academics},
  howpublished = {GitHub repository},
  year         = {2026},
  url          = {https://github.com/pedrohcgs/claude-code-my-workflow}
}

@misc{blattman2026claude,
  author       = {Blattman, Christopher},
  title        = {Claude Blattman: {AI} for Professionals Who Don't Code},
  year         = {2026},
  url          = {https://claudeblattman.com}
}

@misc{crawfurd_skills,
  author       = {Crawfurd, Lee},
  title        = {claude-skills: {Claude Code} Skills for Academic Paper Review, Code Review, and Computational Reproducibility Audits},
  howpublished = {GitHub repository},
  url          = {https://github.com/lcrawfurd/claude-skills}
}

@inproceedings{egami2023dsl,
  author    = {Egami, Naoki and Hinck, Musashi and Stewart, Brandon M. and Wei, Hanying},
  title     = {Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year      = {2023}
}

@misc{baumann2025hacking,
  author        = {Baumann, Joachim and others},
  title         = {Large Language Model Hacking: Quantifying the Hidden Risks of Using {LLMs} for Text Annotation},
  year          = {2025},
  eprint        = {2509.08825},
  archivePrefix = {arXiv},
  url           = {https://arxiv.org/abs/2509.08825}
}

@article{gilardi2023chatgpt,
  author  = {Gilardi, Fabrizio and Alizadeh, Meysam and Kubli, Ma{\"e}l},
  title   = {{ChatGPT} Outperforms Crowd Workers for Text-Annotation Tasks},
  journal = {Proceedings of the National Academy of Sciences},
  volume  = {120},
  number  = {30},
  year    = {2023}
}

@article{tornberg2024best,
  author  = {T{\"o}rnberg, Petter},
  title   = {Best Practices for Text Annotation with Large Language Models},
  journal = {Sociologica},
  volume  = {18},
  number  = {2},
  year    = {2024}
}

@article{spirling2023opensource,
  author  = {Spirling, Arthur},
  title   = {Why Open-Source Generative {AI} Models Are an Ethical Choice for Science},
  journal = {Nature},
  volume  = {616},
  pages   = {413},
  year    = {2023}
}

@article{argyle2023outofone,
  author  = {Argyle, Lisa P. and Busby, Ethan C. and Fulda, Nancy and Gubler, Joshua R. and Rytting, Christopher and Wingate, David},
  title   = {Out of One, Many: Using Language Models to Simulate Human Samples},
  journal = {Political Analysis},
  volume  = {31},
  number  = {3},
  pages   = {337--351},
  year    = {2023}
}

@article{bail2024generative,
  author  = {Bail, Christopher A.},
  title   = {Can Generative {AI} Improve Social Science?},
  journal = {Proceedings of the National Academy of Sciences},
  volume  = {121},
  number  = {21},
  year    = {2024}
}

@misc{metr2025uplift,
  author       = {Becker, Joel and Rush, Nate and Barnes, Elizabeth and Rein, David},
  title        = {Measuring the Impact of Early-2025 {AI} on Experienced Open-Source Developer Productivity},
  howpublished = {METR},
  year         = {2025},
  month        = jul,
  url          = {https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/}
}

@misc{metr2026design,
  author       = {{METR}},
  title        = {We Are Changing Our Developer Productivity Experiment Design},
  year         = {2026},
  month        = feb,
  url          = {https://metr.org/blog/2026-02-24-uplift-update/}
}

@book{mollick2024cointelligence,
  author    = {Mollick, Ethan},
  title     = {Co-Intelligence: Living and Working with {AI}},
  publisher = {Portfolio},
  address   = {New York},
  year      = {2024}
}