# Appendix 05: References: Foundational Research
# Book: Freestyle Cognition
# Chapter URL: https://programmer.ie/books/freestyle-cognition/21-chapter/
# Prose fingerprint (sha256, normalized): 0163ae667cc3b181fda2e9c615c1c1af6bdc425ea4a8406a78ce020a48c2d198
# Snapshot generated at build time by Hugo. This is the complete rendered prose
# of the chapter; it is not a transcript of the source file.

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 style R1 fill:#e1f5fe,stroke:#333 style R2 fill:#fff3e0,stroke:#333 style R3 fill:#e8f5e9,stroke:#333 style R4 fill:#fce4ec,stroke:#333 style C4 fill:#f3e5f5,stroke:#333 style C5 fill:#fff9c4,stroke:#333 style C9 fill:#e0f7fa,stroke:#333 style C10 fill:#c8e6c9,stroke:#333 style C13 fill:#ffccbc,stroke:#333 style C14 fill:#d1c4e9,stroke:#333 style C15 fill:#b2dfdb,stroke:#333 style CApp fill:#ffcdd2,stroke:#333 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
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
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
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