Native audio regression data preview (e9de158)

Experimental native audio regression data for the selected EmbeddingGemma 2 generation. This is a data preview, separate from the formal Unity SDK release.

Upstream: google/embeddinggemma-2 at the fixed revision, by Google DeepMind, Apache-2.0. Retain LICENSE.txt, NOTICE.txt and MODIFICATIONS.txt.

The inventory binds two metadata-clean native PT2 graphs, four original/candidate reference and audit JSON files, and six unchanged synthetic input buffers. Source graph hashes and distribution graph hashes are different and recorded separately. Only optional node stack traces were removed; all non-model members and computational metadata were independently compared with the preserved source. This is not recovery of lost earlier graph bytes.

Inventory SHA256: e4da37c53cc9b97d421b17caf56eacb6003fdca9160ac6e8f6a86a5314299d5e.

Native graph generation: e9de158a55a72a34cbf9f4752a234892c4ce41d3.
Metadata-only distribution producer: 6bfc2232412f88a78dc23227b5d57ee5a3c7c05c.
Publication guard and exact review: fixed source 728a3d0.

The selected generation's existing evidence and this byte-preservation review do not replace a fresh six-signal numeric regression from a new acquisition route. Durable loader integration and that complete execution are still pending. No microphone recordings or screenshots are included. Numerical/model files remain outside Git and LFS. These files are regression inputs, not a ready-to-import Sentis model bundle.