The Decoder read Canary's cvars (present_letterbox true, safe area 100) and drew
the consequence that "everything either of us measures off a PNG carries the
resample -- every RMSE against a capture, every glyph count, every surface mean,
and the motion-census numbers on both sides."
That is a caveat on a very large amount of shared evidence, so it was worth one
measurement before anyone started qualifying results with it.
Pre-registered: if the captures carry a scale, SCALING this port's 1280x720
render to 1279x675 should beat CROPPING it. If they are crops, the reverse.
render cropped to 1279x675 RMSE 558.1 (0.85 %)
render scaled to 1279x675 RMSE 10118.8 (15.4 %)
Cropping is 18x better. A 0.9375 vertical scale would put every feature on the
wrong row, and the residual under scaling is exactly what that looks like.
REFUTED: the consequence. Pixel comparisons against the committed captures are
like-for-like.
NOT REFUTED: the cvar reading. Canary may letterbox by default; this says
nothing about that. It says the capture path used for the corpus did not go
through it -- presenter bypassed, window 1:1, or the tool cropped the letterbox
before saving. Which, nobody has established.
📌 And a second line already agreed, one page away, unconnected:
ui-render-tone-curve.md records every committed capture aligning against our
render at exactly dy=0 dx=0, correlation 0.9466. A 0.9375 vertical scale cannot
produce a zero-offset alignment. The evidence for "crop" was already in the
corpus, next to the surface-size puzzle it explains.
Unchanged and worth keeping: their gamma negative (VdGetCurrentDisplayGamma is
kStub, the splash shader is four ALU ops with no pow/ramp/lookup), the
vertex-stream path being the better instrument where a question can be asked of
it, and motion-census never having been at risk -- a resample preserves change.
Reach: one capture, one screen. Enough to refute a universal; not enough to
establish that no capture anywhere carries a resample.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018AHUQvXGyNcKonSEWsgWcX
bc0718b18c