467bb9507c
The 64 x 64 grid is cut into 2 x 2 tiles of 32 x 32 cells, each tile holding the same layout, four positions a bit, so a bit keeps 16 cells and the embedding is tent64's, spending nothing on synchronisation. Stage 1 reads the grid in place in the 8 orientations, as tent64 does. Stage 2, where stage 1 reads nothing: the tile lattice from the exact autocorrelation (a number-theoretic transform) of a sign plane matched to the cell pattern, eight candidates scored over their four lattice points; each folded onto one tile by the parity of its tiles, the cells' phase by how well the tiles agree; the orientation and the tile's offset by how many pairs of a bit's four cells agree; at most four words decoded. Integer throughout. The verifier dispatches over the registered schemes (§7.6's recomputation and rerun). The battery adds crops from each side, a crop of 25%, a rotation of 5 degrees and two simulated captures of a screen; tent64's corpus files regenerate unchanged. The scheme's corpus files sit beside tent64's and share its frames; frames a crop, a rotation or a capture makes are derived at verify time, not stored. Co-Authored-By: Claude Opus 5.5 <[email protected]>
2564 lines
49 KiB
JSON
2564 lines
49 KiB
JSON
{
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"about": "the measurement of extensions/synthesis.md §7.9.7, written by wai_synthesis_mark_vectors gen",
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"source": "wai.generate.spectral's generator with its committed model, the prompts of synthesis_mark::PROMPTS, seed the index, 4 steps"
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},
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{
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},
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{
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"attack": "crop-bottom-2%",
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},
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{
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"attack": "crop-left-5%",
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},
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{
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"attack": "crop-right-5%",
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"set": "leaves",
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},
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{
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"attack": "crop-top-5%",
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},
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{
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},
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{
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"attack": "crop-left-10%",
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"set": "leaves",
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},
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{
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},
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{
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"attack": "crop-top-10%",
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},
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{
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|
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},
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{
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"attack": "crop-left-25%",
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},
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{
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},
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{
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},
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{
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},
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{
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"attack": "rotate-5",
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|
"set": "leaves",
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|
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|
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|
|
},
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{
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|
"attack": "screen-a",
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|
"set": "leaves",
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|
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|
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|
|
},
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{
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|
"attack": "screen-b",
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|
"set": "leaves",
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|
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|
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|
|
},
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{
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|
"attack": "none",
|
|
"set": "clips",
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|
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|
|
"detections": 0
|
|
},
|
|
{
|
|
"attack": "clip-int-motion-q8",
|
|
"set": "clips",
|
|
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|
|
"detections": 0
|
|
},
|
|
{
|
|
"attack": "clip-int-motion-q24",
|
|
"set": "clips",
|
|
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|
|
"detections": 0
|
|
},
|
|
{
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|
"attack": "frame-drop",
|
|
"set": "clips",
|
|
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|
|
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|
|
},
|
|
{
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|
"attack": "one-frame",
|
|
"set": "clips",
|
|
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|
|
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|
|
},
|
|
{
|
|
"attack": "scale-1/2",
|
|
"set": "clips",
|
|
"trials": 4,
|
|
"detections": 0
|
|
},
|
|
{
|
|
"attack": "noise-16",
|
|
"set": "clips",
|
|
"trials": 4,
|
|
"detections": 0
|
|
}
|
|
],
|
|
"words": {
|
|
"words": 384,
|
|
"ones_mean": "124.14",
|
|
"ones_sd": "7.78",
|
|
"pairs": 71424,
|
|
"distance_mean": "123.90",
|
|
"distance_sd": "7.93",
|
|
"distance_min": 74,
|
|
"model_mean": "124.00",
|
|
"model_sd": "7.87"
|
|
},
|
|
"false_positive_log2": "-60.80",
|
|
"claims": {
|
|
"pictures": [
|
|
"none",
|
|
"int-motion-q4",
|
|
"int-motion-q8",
|
|
"int-motion-q16",
|
|
"int-motion-q32",
|
|
"int-motion-q48",
|
|
"staged-base-q8",
|
|
"denoise3",
|
|
"denoise3-x4",
|
|
"scale-3/4",
|
|
"scale-1/2",
|
|
"scale-1/3",
|
|
"scale-1/4",
|
|
"scale-3/2",
|
|
"upscale2",
|
|
"aspect-3/4",
|
|
"half-then-int-motion-q16",
|
|
"crop-1%",
|
|
"crop-2%",
|
|
"crop-5%",
|
|
"crop-10%",
|
|
"mirror",
|
|
"rotate-90",
|
|
"rotate-0.5",
|
|
"rotate-1",
|
|
"rotate-2",
|
|
"noise-4",
|
|
"noise-16",
|
|
"brightness+32",
|
|
"brightness-32",
|
|
"contrast-1/2",
|
|
"contrast-3/2",
|
|
"local-blur",
|
|
"crop-25%",
|
|
"crop-left-2%",
|
|
"crop-right-2%",
|
|
"crop-top-2%",
|
|
"crop-bottom-2%",
|
|
"crop-left-5%",
|
|
"crop-right-5%",
|
|
"crop-top-5%",
|
|
"crop-bottom-5%",
|
|
"crop-left-10%",
|
|
"crop-right-10%",
|
|
"crop-top-10%",
|
|
"crop-bottom-10%",
|
|
"crop-left-25%",
|
|
"crop-right-25%",
|
|
"crop-top-25%",
|
|
"crop-bottom-25%",
|
|
"rotate-5",
|
|
"screen-a",
|
|
"screen-b"
|
|
],
|
|
"clips": [
|
|
"none",
|
|
"clip-int-motion-q8",
|
|
"clip-int-motion-q24",
|
|
"frame-drop",
|
|
"one-frame",
|
|
"scale-1/2",
|
|
"noise-16"
|
|
]
|
|
}
|
|
}
|