The four H3 render strengths shipped as hand-set dials. They should not
have: four scalars is a SMALLER search than the sigma profile, which
already converges on ratings alone, so typing them is the user doing work
the loop can do.
Same ES update as the sigma profile, with one difference — that profile is
centred on 0, so its applied value IS its perturbation; these are centred
on 1.0, so the perturbation is (applied - value) and that is what the
reward is credited to. Exploration narrows on a like, widens otherwise,
and is seeded from the run seed so a repeat repeats.
Learned values reach the sampler through the conditioning meta, the bridge
h3 token weighting already uses: Studio owns the key, the sampler owns the
application. h3_gain_mode defaults to "learned" and ignores the widgets;
"manual" uses them as typed and still works with no Refiner in the graph.
Learning runs on every rating regardless of the toggle, the same rule
value_guidance follows.
Also fixes four note_on_change calls added earlier this session that were
missing the required tag argument — they would have raised on the non-H3
and unreadable-tags paths.
digital-garbage
ffe2a49a9e