The Diagram of Thought (DoT) repository presents a research framework for enhancing LLM reasoning through iterative self-correction via a structured prompt. It contains no executable code or data processing pipelines, focusing instead on a conceptual model and a reusable prompt structure for guiding LLMs to construct and refine reasoning graphs. The repository includes the research paper, illustrative images, and two markdown files: a detailed README explaining the DoT framework and a prompt template for iterative reasoning with proposer, critic, and summarizer roles. As a research artifact, the repository does not ingest, transform, or analyze any datasets. Its primary value lies in proposing a novel reasoning methodology and providing a prompt that can be used with any capable LLM to implement the DoT process. The lack of code or data means there are no data engineering components to evaluate, resulting in minimal reproducibility and no reusable data assets by data engineering standards. Maintenance appears active based on a recent commit timestamp, and the codebase shows no technical drift due to the absence of dependencies or executable code. However, the repository's utility is limited to theoretical exploration and prompt engineering rather than practical data operations.