| # ARC-AGI Reproduction Project | |
| **Project goal** | |
| Recreate the system described in *A Pre-Emergence Mechanics Framework for Solving the Abstraction and Reasoning Corpus ARC-AGI* by Achilles. The codebase implements a boundary constrained field solver (Intent Tensor Theory substrate) and a beam search driver to propose transforms that reduce L1 residue against ARC tasks. | |
| **Current status** | |
| - Core driver `itt_solver/experiment_driver.py` runs experiments and saves artifacts to `experiments/`. | |
| - Runs complete and save `*_phi_best.npy`, `*_logs.json`, `*_result.json`. | |
| - Immediate blockers discovered and addressed: W&B recursion removed; logging lacked candidate arrays; some transforms were no-ops. Diagnostics and small patches are in `experiments/` and `itt_solver/` to inspect and fix behavior. | |
| - Smoke tests show the beam accepts candidates but residue has not decreased for the example task. See `experiments/` for logs. | |
| **Quick start minimal run** | |
| 1. Install dependencies (if not present): `numpy`, `matplotlib`. | |
| 2. From project root run a single job in a notebook cell: | |
| ```python | |
| from itt_solver.experiment_driver import default_atomic_factory, run_single | |
| # build task and params (example provided in repo) | |
| res = run_single(task, default_atomic_factory(params, task), params, out_dir="experiments") | |
| print(res) | |
| ``` | |