# Third-Party Code Attribution

This project gratefully acknowledges the following open source projects that have been incorporated
or served as inspiration for parts of our codebase:

## Direct Code Reuse

### Zebra Puzzles
- Source: https://github.com/nouhadziri/faith-and-fate
- License: MIT
- Copyright (c) 2022 Nouha Dziri

### ARC 1D Tasks
- Source: https://github.com/optozorax/arc_1d
- License: MIT
- Copyright (c) 2023 University of Toronto
- Note: Generators converted to Python

### BF Generation
- Source: https://github.com/elikaski/BF-it
- License: MIT
- Copyright (c) 2020 elikaski

### Sokoban Generation and Solving
- Source: https://github.com/xbandrade/sokoban-solver-generator
- License: MIT
- Copyright (c) 2023 Bruno Andrade

### Re-ARC Dataset
- Source: https://github.com/michaelhodel/re-arc
- License: MIT
- Copyright (c) 2024 Michael Hodel
- Citation:
```
@misc{hodel2024addressingabstractionreasoningcorpus,
      title={Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation},
      author={Michael Hodel},
      year={2024},
      eprint={2404.07353},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2404.07353},
}
```

### CodeSteer Tasks
- Source: https://github.com/yongchao98/CodeSteer-v1.0
- License: Apache 2.0
- Copyright 2025 Yongchao Chen
- Citation:
```
@misc{chen2025codesteersymbolicaugmentedlanguagemodels,
      title={CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance},
      author={Yongchao Chen and Yilun Hao and Yueying Liu and Yang Zhang and Chuchu Fan},
      year={2025},
      eprint={2502.04350},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2502.04350},
}
```

### Rush Hour Dataset
- Source: https://github.com/fogleman/rush
- Website: https://www.michaelfogleman.com/rush/
- License: MIT
- Copyright (C) 2018 Michael Fogleman
- Note: Used sampled version of the RushHour database

### Knights & Knaves Problems
- Source: https://github.com/AlphaPav/mem-kk-logic
- License: MIT
- Copyright (c) 2024 AlphaPav
- Note: Adapted for K&K problem generation
- Citation:
```
@article{xie2024memorization,
      title={On Memorization of Large Language Models in Logical Reasoning},
      author={Chulin Xie and Yangsibo Huang and Chiyuan Zhang and Da Yu and Xinyun Chen and Bill Yuchen Lin and Bo Li and Badih Ghazi and Ravi Kumar},
      year={2024},
      eprint={2410.23123},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2410.23123},
}
```

### ACRE Dataset
- Source: https://github.com/WellyZhang/ACRE
- License: GPL-3.0
- Website: wellyzhang.github.io/project/acre.html
- Citation:
```
@inproceedings{zhang2021acre,
    title={ACRE: Abstract Causal REasoning Beyond Covariation},
    author={Zhang, Chi and Jia, Baoxiong and Edmonds, Mark and Zhu, Song-Chun and Zhu, Yixin},
    booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2021}
}
```

We are deeply grateful to all authors of these projects for making their work available
under open source licenses, enabling us to build upon their contributions.
