Initial pi0.6 minimal validation

THIRD_PARTY_NOTICES.md

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+# Third-party notices
+
+This repository is an independent educational implementation. It does not
+contain code, weights, datasets, or other assets copied from Physical
+Intelligence.
+
+The design is informed by the following public research artifacts:
+
+- Physical Intelligence, **“π*0.6: a VLA That Learns From Experience”**
+  (RECAP paper): <https://pi.website/download/pistar06.pdf>.
+- Physical Intelligence, **π0.6 model card**:
+  <https://website.pi-asset.com/pi06star/PI06_model_card.pdf>.
+- Physical Intelligence, **openpi**, used only as a public reference for the
+  earlier π0/π0.5 family; the inspected repository did not provide an official
+  π0.6/RECAP training implementation or checkpoint.
+- Pertsch et al., **“FAST: Efficient Action Tokenization for
+  Vision-Language-Action Models.”** This project implements a small
+  DCT-and-quantization `FAST-lite` teaching approximation, not the official
+  tokenizer implementation.
+
+Runtime dependencies retain their own licenses and copyright notices:
+
+- PyTorch
+- NumPy
+- Pillow
+- Matplotlib
+- PyYAML
+- pytest (development only)
+
+Users are responsible for complying with the licenses of any external data or
+checkpoints that they choose to supply. The default configuration points to a
+local manifest and does not redistribute its source images.