% Self-Correcting Agent Kernel - Bibliography
% Generated: 2026-01-18
% For use in academic paper submission

% ===== Core Inspirations =====

@inproceedings{shinn2023reflexion,
  title={Reflexion: Language Agents with Verbal Reinforcement Learning},
  author={Shinn, Noah and Cassano, Federico and Berman, Edward and Gopinath, Ashwin and Narasimhan, Karthik and Yao, Shunyu},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2023},
  url={https://arxiv.org/abs/2303.11366}
}

@article{madaan2023self,
  title={Self-Refine: Iterative Refinement with Self-Feedback},
  author={Madaan, Aman and Tandon, Niket and Gupta, Prakhar and others},
  journal={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2023},
  url={https://arxiv.org/abs/2303.17651}
}

@article{wang2023voyager,
  title={Voyager: An Open-Ended Embodied Agent with Large Language Models},
  author={Wang, Guanzhi and Xie, Yuqi and Jiang, Yunfan and others},
  year={2023},
  url={https://arxiv.org/abs/2305.16291}
}

@article{bai2022constitutional,
  title={Constitutional AI: Harmlessness from AI Feedback},
  author={Bai, Yuntao and Kadavath, Saurav and Kundu, Sandipan and others},
  journal={arXiv preprint arXiv:2212.08073},
  year={2022},
  publisher={Anthropic}
}

% ===== Reinforcement Learning from Human Feedback =====

@inproceedings{christiano2017deep,
  title={Deep Reinforcement Learning from Human Feedback},
  author={Christiano, Paul F and Leike, Jan and Brown, Tom and others},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2017},
  url={https://arxiv.org/abs/1706.03741}
}

@article{ouyang2022training,
  title={Training language models to follow instructions with human feedback},
  author={Ouyang, Long and Wu, Jeffrey and Jiang, Xu and others},
  journal={arXiv preprint arXiv:2203.02155},
  year={2022},
  publisher={OpenAI}
}

@article{stiennon2020learning,
  title={Learning to summarize with human feedback},
  author={Stiennon, Nisan and Ouyang, Long and Wu, Jeffrey and others},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2020},
  url={https://arxiv.org/abs/2009.01325}
}

% ===== Multi-Agent Systems =====

@article{wu2023autogen,
  title={AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation},
  author={Wu, Qingyun and Bansal, Gagan and Zhang, Jieyu and others},
  journal={arXiv preprint arXiv:2308.08155},
  year={2023},
  publisher={Microsoft Research}
}

@article{park2023generative,
  title={Generative Agents: Interactive Simulacra of Human Behavior},
  author={Park, Joon Sung and O'Brien, Joseph C and Cai, Carrie J and others},
  year={2023},
  url={https://arxiv.org/abs/2304.03442}
}

@article{hong2023metagpt,
  title={MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework},
  author={Hong, Sirui and Zhuge, Mingchen and Chen, Jiaqi and Zheng, Xiawu and Cheng, Yuheng and Zhang, Ceyao and others},
  year={2023},
  url={https://arxiv.org/abs/2308.00352}
}

% ===== Tool Use and Grounding =====

@article{schick2023toolformer,
  title={Toolformer: Language Models Can Teach Themselves to Use Tools},
  author={Schick, Timo and Dwivedi-Yu, Jane and Dessi, Roberto and others},
  year={2023},
  url={https://arxiv.org/abs/2302.04761}
}

@inproceedings{yao2023react,
  title={ReAct: Synergizing Reasoning and Acting in Language Models},
  author={Yao, Shunyu and Zhao, Jeffrey and Yu, Dian and others},
  booktitle={International Conference on Learning Representations (ICLR)},
  year={2023},
  url={https://arxiv.org/abs/2210.03629}
}

@article{qin2023toolllm,
  title={ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs},
  author={Qin, Yujia and Liang, Shihao and Ye, Yining and others},
  year={2023},
  url={https://arxiv.org/abs/2307.16789}
}

% ===== Context Management =====

@article{liu2023lost,
  title={Lost in the Middle: How Language Models Use Long Contexts},
  author={Liu, Nelson F and Lin, Kevin and Hewitt, John and others},
  year={2023},
  url={https://arxiv.org/abs/2307.03172}
}

@article{mohtashami2023landmark,
  title={Landmark Attention: Random-Access Infinite Context Length for Transformers},
  author={Mohtashami, Amirkeivan and Jaggi, Martin},
  year={2023},
  url={https://arxiv.org/abs/2305.16300}
}

@inproceedings{lewis2020retrieval,
  title={Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks},
  author={Lewis, Patrick and Perez, Ethan and Piktus, Aleksandra and others},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2020},
  url={https://arxiv.org/abs/2005.11401}
}

% ===== Safety and Alignment (2024-2025) =====

@misc{meta2024llamaguard2,
  title={LlamaGuard 2: Safety Classification for LLM Interactions},
  author={{Meta AI}},
  year={2024},
  howpublished={Meta Research Blog},
  note={Technical report on improved safety classification}
}

@article{han2024wildguard,
  title={WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs},
  author={Han, Seungju and Rao, Kavel and Ettinger, Allyson and Jiang, Liwei and Lin, Bill Yuchen and Lambert, Nathan and Choi, Yejin and Dziri, Nouha},
  journal={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2024},
  url={https://arxiv.org/abs/2406.18495}
}

@article{zou2023universal,
  title={Universal and Transferable Adversarial Attacks on Aligned Language Models},
  author={Zou, Andy and Wang, Zifan and Carlini, Nicholas and Nasr, Milad and Kolter, J. Zico and Fredrikson, Matt},
  year={2023},
  url={https://arxiv.org/abs/2307.15043}
}

% ===== Benchmarks =====

@article{mialon2023gaia,
  title={GAIA: a benchmark for General AI Assistants},
  author={Mialon, Gr{\'e}goire and Fourrier, Cl{\'e}mentine and Swift, Craig and Wolf, Thomas and LeCun, Yann and Scialom, Thomas},
  year={2023},
  url={https://arxiv.org/abs/2311.12983}
}

@article{liu2023agentbench,
  title={AgentBench: Evaluating LLMs as Agents},
  author={Liu, Xiao and Yu, Hao and Zhang, Hanchen and others},
  year={2023},
  url={https://arxiv.org/abs/2308.03688}
}

% ===== Production ML =====

@inproceedings{sculley2015hidden,
  title={Hidden Technical Debt in Machine Learning Systems},
  author={Sculley, David and Holt, Gary and Golovin, Daniel and others},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2015}
}

@inproceedings{breck2019data,
  title={Data Validation for Machine Learning},
  author={Breck, Eric and Polyzotis, Neoklis and Roy, Sudip and others},
  booktitle={MLSys},
  year={2019}
}

% ===== Cognitive Science Foundations =====

@book{kahneman2011thinking,
  title={Thinking, Fast and Slow},
  author={Kahneman, Daniel},
  year={2011},
  publisher={Farrar, Straus and Giroux}
}

@book{boyd1987discourse,
  title={A Discourse on Winning and Losing},
  author={Boyd, John R},
  year={1987},
  publisher={Air University Press}
}

% ===== Governance and Policy (2025) =====

@misc{wef2025governance,
  title={AI Agents in the Workplace: Governance Framework and Risk Mitigation},
  author={{World Economic Forum}},
  year={2025},
  howpublished={WEF Whitepaper},
  month={January}
}

@misc{euai2024,
  title={Regulation (EU) 2024/1689 - Artificial Intelligence Act},
  author={{European Parliament}},
  year={2024},
  howpublished={Official Journal of the European Union}
}

% ===== LLM Models Referenced =====

@misc{openai2023gpt4,
  title={GPT-4 Technical Report},
  author={{OpenAI}},
  year={2023},
  url={https://arxiv.org/abs/2303.08774}
}

@misc{openai2024o1,
  title={Learning to Reason with LLMs},
  author={{OpenAI}},
  year={2024},
  howpublished={OpenAI Blog},
  month={September}
}

@misc{anthropic2024claude,
  title={Claude 3.5 Sonnet: Extended Context and Reasoning},
  author={{Anthropic}},
  year={2024},
  howpublished={Anthropic Release Notes},
  month={June}
}

% ===== Additional References =====

@article{chen2023teaching,
  title={Teaching Large Language Models to Self-Debug},
  author={Chen, Xinyun and Lin, Maxwell and Sch{\"a}rli, Nathanael and Zhou, Denny},
  year={2023},
  url={https://arxiv.org/abs/2304.05128}
}

@article{zhang2023multimodal,
  title={Multimodal Chain-of-Thought Reasoning in Language Models},
  author={Zhang, Zhuosheng and Zhang, Aston and Li, Mu and others},
  year={2023},
  url={https://arxiv.org/abs/2302.00923}
}

@misc{basiri2016chaos,
  title={Chaos Engineering},
  author={Basiri, Ali and Behnam, Niosha and de Rooij, Ruud and others},
  journal={IEEE Software},
  year={2016},
  publisher={IEEE}
}

% ===== Our Work =====

@software{scak2026,
  title={Self-Correcting Agent Kernel: Automated Alignment via Differential Auditing and Semantic Memory Hygiene},
  author={{Self-Correcting Agent Team}},
  year={2026},
  version={1.1.0},
  url={https://github.com/imran-siddique/self-correcting-agent-kernel},
  note={Research foundations: Reflexion (NeurIPS 2023), Constitutional AI (Anthropic 2022), Voyager (arXiv:2305.16291)}
}
