The five-task script imports its sibling depth_routing_lm.py; both are included. Runtime dependencies are Python 3.12.3, NumPy, and PyTorch 2.8.0+cu128 for the RunPod CUDA study. The paired Dyck-2 records, environment JSON, and system samples are preserved under both longer-run directories; the code hash is recorded in each result. No trained HCRR checkpoints are present in those selected directories; result JSON and system samples are measurements, not weights. The TinyStories directory is an input dependency for other tasks, but Dyck-2 generation is synthetic and does not require it.
