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Trained PyTorch weights

PyTorch/DT contains 15 original checkpoints: E1/E2/E3 for C_5, C_10, S_100, SC_5, and SC_10. PyTorch/BC contains 3 original BC checkpoints. Original file names and bytes are preserved.

The DT originals were recovered from DT Models.zip at repository revision b68573995aea82d97a599ee7ea0c9b2ea8d88f8b. The original ZIP hash is 7d8be2d43a5a8b6caac30cf11fafb5d5a9520e07c5de843b410245bad7a463de. Its 15 paired ONNX members each have exactly the same SHA-256 as the corresponding evaluated export. Existing local E1_C5 and E3_S100 weights also matched the archived originals. The three BC weights were previously recovered from the same pinned revision and were copied from the verified local originals.

This confirms source-archive pairing and file integrity; no new inference, export, or training was performed during packaging. Existing numerical parity evidence covers the explicitly reported representative checkpoints, not every model.

PPO's exact evaluated trained policy is included at ../05_ONNX_Models/PPO/V12 PPO.onnx. A matching native V12 training checkpoint was not located. Older V2/V10 .pt files in the Unity source assets are not substitutes for V12.

See ../08_Manifests/evaluated-models.json and dt-model-original-provenance.json for per-file links and hashes.