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https://github.com/wiltodelta/remove-ai-watermarks.git
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Restructure documentation, validate metadata removal, consolidate assets
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@@ -35,7 +35,7 @@ THE MEASUREMENT
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percentage is an upper bound on what a denser ladder buys.
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DATA SAFETY
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Corpus images are user uploads: read-only, local analysis, gitignored output.
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Treat input datasets as sensitive and read-only, and keep output gitignored.
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uv run python scripts/ladder_headroom.py --mark doubao --n 4000
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"""
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@@ -60,8 +60,8 @@ import numpy as np
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sys.path.insert(0, str(Path(__file__).parent.parent))
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REPO = Path(__file__).resolve().parents[1]
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CORPUS = REPO / "data" / "spaces" / "originals"
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OUT = REPO / "data" / "spaces" / "_ladder_headroom.jsonl"
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CORPUS = REPO / ".local-eval" / "originals"
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OUT = REPO / ".local-eval" / "ladder-headroom.jsonl"
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# The rungs the product ships today, and the dense ladder under evaluation. The dense one
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# is geometric with a ~6% step, chosen from the measured half-width of a rung's lobe
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@@ -189,7 +189,7 @@ def main() -> None:
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# for a mark with rivals, `dense_crosses` would ignore the competitive margin and read
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# optimistically. Widening the binary front-end is a separate experiment.
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ap.add_argument("--mark", default="doubao", choices=["doubao"])
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ap.add_argument("--n", type=int, default=4000, help="corpus files to scan")
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ap.add_argument("--n", type=int, default=4000, help="local files to scan")
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ap.add_argument("--workers", type=int, default=max(1, (os.cpu_count() or 4) - 2))
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ap.add_argument("--out", type=Path, default=OUT)
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ap.add_argument("--report-only", action="store_true")
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