Appendix 05: References: Foundational Research

    flowchart TD
    subgraph Research_Papers
        R1[Wei et al., 2022<br>Chain of Thought Prompting]
        R2[Gao et al., 2023<br>GRA Framework]
        R3[Zelikman et al., 2022<br>STaR]
        R4[Wu et al., 2024<br>xVerify]
    end

    subgraph Book_Chapters
        C4[Chapter 4: Beyond Prompting]
        C5[Chapter 5: Ghosted by the Machine]
        C9[Chapter 9: Council of Purpose]
        C10[Chapter 10: Second Pass]
        C13[Chapter 13: Machine Coding]
        C14[Chapter 14: MIRROR & Reflection]
        C15[Chapter 15: When It Doesn't Work]
        CApp[Appendix: Prompting Tools]
    end

    R1 --> C4
    R1 --> C5
    R1 --> C14

    R2 --> C9
    R2 --> C14
    R2 --> C15

    R3 --> C4
    R3 --> C5
    R3 --> C13

    R4 --> C10
    R4 --> C14
    R4 --> CApp

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    style C5 fill:#fff9c4,stroke:#333
    style C9 fill:#e0f7fa,stroke:#333
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1. Wei et al., 2022. “Chain of Thought Prompting Elicits Reasoning in Large Language Models”
   Relevance: Forms the backbone of your structured prompting techniques like MARS, GROWS, and CRITIC. CoT prompts are foundational for steering AI toward better reasoning.
   Used in: Chapters 4 (Beyond Prompting), Chapter 5 (Ghosted by the Machine), Chapter 14 (Session Reflection)
   https://arxiv.org/abs/2201.11903

2. Gao et al., 2023. “A Strategic Coordination Framework of Small LLMs Matches Large LLMs in Data Synthesis” (GRA framework)
   Relevance: Inspired your use of modular AI roles and prompting strategies like “Council Review.” Highlights the value of coordinating smaller reasoning loops.
   Used in: Chapter 9 (Council of Purpose), Chapter 14 (MIRROR), Chapter 15 (When It Doesn’t Work)
   https://arxiv.org/abs/2309.10685

3. Zelikman et al., 2022. “STaR: Bootstrapping Reasoning With Reasoning”
   Relevance: Related to your self-improvement loops like GROWS, where the model reflects, scores, and iterates toward a better result.
   Used in: Chapters 4, 5, and 13 (Machine Coding)
   https://arxiv.org/abs/2203.14465

4. Wu et al., 2024. “xVerify: Efficient Answer Verifier for Reasoning”
   Relevance: Supports your focus on critique-first prompting and reflective loops like MIRROR and CRITIC.
   Used in: Chapters 10 (Second Pass), Chapter 14 (Reflection), and Appendix on Prompting Tools
   https://arxiv.org/abs/2402.08851