Two corrections to the commit before this one.
A rank-1 latent's length is in the NODE that builds it and never in the format:
core turns seconds into samples with a 44100 rate and a 2048 hop that
latent_format does not carry, and the same rank means tokens of geometry for
Hunyuan3D. Deriving `length` samples gave StableAudio a latent of 1 where core's
own default is 1024 -- three orders of magnitude short, reported as success.
Refused now, with the reason and the way out: a module for that model.
The sweep claimed to skip H3 and did not. H3 has a rank-3 latent, so it was
derived and passed at 32 channels for a video branch that has 24 -- a test
passing on a model it is not correct for. So the previous message's "produces
exactly what core's nodes compute for every single-tensor model" was wrong on
both counts, and the sweep now says what it actually proves: the derivation
agrees with what a model PUBLISHES, which is a floor and not a certificate.
Rejected from the same report: an absent model module letting H3 fall through to
the generic shape. Core cannot detect that without naming models, which is the
one thing it must not do; a module that fails to import is already reported as a
Warning, which is the level that can see it.
digital-garbage
963250a761