WAI integer-exact neural image — in-browser, no ML runtime

A wai.neural.int_synth payload arrived: int8 latents + a model spec. This tab decodes it to RGB with the same pure-i64 Rust that decodes natively, compiled to wasm32 — no onnxruntime-web, no WebGPU, no float anywhere. Because the decode is integer all the way down (the integer-entropy contract), the reconstruction is byte-identical on every machine, so the page re-checks its BLAKE3 against the hash the native reference froze into neural-conformance/expected_hashes.json — a learned-codec image verified client-side, no server round-trip.

image — latent channels — synthesis layers — decoded hash — frozen hash —

Why integer synthesis: a float learned decode can round differently on another platform, and a drift of ~1e-5 in the entropy scale desyncs it, so its decode is reproducible only on the same build — its reconstruction cannot go in a receipt. int_synth is integer all the way down, so the hash above is portable: this browser, a native sink, and the conformance corpus all produce the same bytes. The wire carried latents + weights; your device produced the exact image, and proved it.