# Supplementary Materials for Submission #315

## 1. Overview

This package provides supplementary materials for our submission, "#315: Magellan: Guided MCTS for Latent Space Exploration and Novelty Generation". These materials are intended to offer a transparent and comprehensive look into the research process conducted with an AI scientist agent.

The package is organized into two main folders and two files:

1.  **`AgentChatLog/`**: Contains the complete, unabridged dialogue history between the human researcher and the AI agent. It documents the entire scientific journey, from initial brainstorming to final implementation and refinement.
2.  **`code/`**: Contains the final, cleaned, and operational source code produced by the AI agent, as described in our paper.

3. **`Supply_for_Magellan.pdf`**: This PDF contains the additonal materials of our paper Magellan

4.  **`Reproducibility Statement & Responsible AI Statement.pdf`**: The complete Reproducibility Statement and Responsible AI Statement of our work.
   
A key insight from our work is that the scientific discovery process with an AI agent is not linear. It is an iterative and often non-deterministic journey involving exploration, trial-and-error, and continuous refinement. Our chat logs reflect this reality, and we believe they provide a valuable and authentic record of human-AI collaboration in science.

## 2. Folder Structure and Content

### 2.1. `AgentChatLog/`

This directory contains the full transcripts of our interactions with the AI agent, organized chronologically and thematically into subfolders (e.g., `1-ConferenceAnalysis`, `2-NarrowdownTopics`, etc.).

-   **Dialogue Format**: Conversations are marked with `# USER:` and `# AGENT:` for clarity. Much of the user input consists of copying the agent's previous outputs to maintain context in subsequent sessions. The human guidance is typically concise.
-   **Translation & Anonymization**: The original dialogues were not conducted in English. For the convenience of the reviewers, we have translated them into English using an AI model, ensuring the semantic meaning is preserved. All sensitive information, such as local file paths and usernames, has been anonymized.
-   **Intermediate Artifacts**: This folder also contains numerous intermediate files generated by the agent during the process. Examples include:
    -   `code-history/` in `4-ImplementAndRefine`: Different versions of the model code as the agent iterated and improved upon its ideas.
    -   `insight.txt` in `3-ProposeIdea`: Key insights extracted from agent responses, which were used as a reference in later prompts.
    -   `8-RunExperimentsByPlans-failed-gemini-pro-cli.md` in `5-Experiments`: A record of a failed attempt, which we include to provide a complete picture of the research process.

### 2.2. `code/`

This directory contains the final, polished version of the source code for the model and experiments presented in our paper. It is intended to be the primary resource for evaluating the final output of our work and for reproducibility studies. The code has been organized and commented for clarity.
