Each work is a pair. The left panel is a photograph as it was made. The right panel is the same photograph carrying one intervention derived from its own measurements. Side by side, the difference often lives at the threshold of vision, and it is stated exactly, down to fractions of a single tonal step. The numbers are the work, and anyone may measure them again. You are offered almost nothing to see, and everything to check. · · · The yellow field measures the same on both sides of the seam, to within 0.029 of one level, so the broad difference you see across it is entirely your own. There is a second edge in the yellow, about 225 pixels right of the real one and curving to echo it. It is a Craik–O'Brien–Cornsweet cusp, a gradient that runs warm on one side and cool on the other and returns to base within roughly thirty pixels each way. The cusp's edge alone persuades the eye about both fields, the entire left half reading golden and the right half pale, despite the two being all but the same. How close is all but: the left measures 147.100 in blue and the right measures 147.071, 0.029 of one level apart. One property of this photograph made the intervention possible. Across the whole yellow field, the red and green channels sit pinned at about 253 with a standard deviation near one. That left blue as the only channel with headroom to carry the cusp in both directions without clipping, and it rides there alone, 6.1 blue levels across the seam, while the maximum luminance change anywhere in the frame is 0.36 of a single level. The image already had one real edge, dividing two genuinely different things. It now has a second one dividing nothing, and it is just as persuasive. Presentation. The mount is neutral gray, RGB (211, 211, 211), the exact neutral of both panels' mean luminance, 0.6501 in linear light. The surround can neither lighten, darken, nor tint a work whose entire content is a delicate chromatic judgment. The rule is neutral 128 for the same reason. To check. Red and green change by exactly 0 everywhere. Blue changes by at most 5 of 255. Download this work's original file, 02_uniform.png, not a screenshot or a marketplace preview, attach it to an AI that can run code, and paste this: Run this exact line on the attached file, changing only the file path if needed. Show me its exact output, and say whether that output is exactly: red 0 green 0 blue 5 python3 -c "import numpy, PIL.Image as I; c=numpy.asarray(I.open('02_uniform.png').convert('RGB')).astype(int); a=c[736:3190,736:3190][::3,::3]; b=c[736:3190,3558:6012][::3,::3]; d=abs(b-a); print('red', d[...,0].max(), 'green', d[...,1].max(), 'blue', d[...,2].max())"