The smoothing DECIMAL-radius scorecard — Φ⁻¹ leaves symbolic-land, corpus-wide #
GENERATED by scripts/smooth_dec_scorecard_gen.py from the same fixed-protocol
driver runs as SmoothingCPScorecard.lean (first-100 test images, σ = 0.5,
n = 10112, α = 1/1000; identical per-image q₀ = a/10000). The CP scorecard's
radius column σ·Φ⁻¹(q₀) was display-only float; here each certified image gets
a PROVED decimal lower bound: m/2000 ≤ σ·Φ⁻¹(a/10000) via smooth_radius_dec.
The trick that makes 279 images affordable: phiScanLit_eq kernel-evaluates the
ENTIRE h = 1/1000 upper-Riemann grid (phiScanRev, 3300 panels, descending,
~2 min total); each per-image check is then a single O(index) list lookup —
into the SMALLEST verified prefix covering its m, so a decide +kernel walks
one 551-entry chunk, never the whole grid (milliseconds each, and the module
stays ~2 GB where full-literal lookups accumulated 11.3 GB — kernel memory is
not reclaimed between declarations). The grid is verified in CHUNKS of 550 panels,
one MODULE each (SmoothingDecChunk1–6: phiScanRevFrom continued from literal
checkpoints, glued by phiScanRevFrom_append): one whole-grid declaration
retains ~15 GB of kernel-cache bignums and OOMs 16 GB CI runners, and memory
is not reclaimed between declarations within a lean process — per-module
processes cap the worst chunk at ~5 GB. Per image, m is the LARGEST grid index with
phiGridUB (1/1000) m ≤ q₀, so the bound is grid-optimal; the intrinsic
upper-sum slack costs ~0.003–0.036 vs the driver's float printout (largest at
the q₀ = 0.9993 unanimous-count images).
Honest scope: the net-semantics hypotheses (C = a net's argmax + hp
interiority) are discharged for a concrete trained net in
SmoothingNetWitness.lean; the scorecard's own 784-dim driver checkpoints
remain untied (the same witness-generator pass at full width).
The FULL scan literal's numerators: entry i is phiGridUB (1/1000) (3300 − i) (descending) over 10¹².
Equations
- One or more equations did not get rendered due to their size.
Instances For
The scan literal: the ℕ numerators over 10¹².
Equations
- Proofs.phiScanLit = List.map (fun (n : ℚ) => n / 1000000000000) do let a ← Proofs.phiScanNum pure ↑a
Instances For
The whole grid scan against the flat literal (chunks reassembled; the final decide is literal-vs-literal, no panel arithmetic).
img 0: label 7, pred 7, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 1: label 2, pred 2, q₀ = 9952/10000 → radius ≥ 2576/2000 = 1.2880 (driver float: 1.295)
img 2: label 1, pred 1, q₀ = 9979/10000 → radius ≥ 2834/2000 = 1.4170 (driver float: 1.431)
img 3: label 0, pred 0, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
img 4: label 4, pred 4, q₀ = 9479/10000 → radius ≥ 1623/2000 = 0.8115 (driver float: 0.812)
img 5: label 1, pred 1, q₀ = 9985/10000 → radius ≥ 2929/2000 = 1.4645 (driver float: 1.484)
img 6: label 4, pred 4, q₀ = 9786/10000 → radius ≥ 2022/2000 = 1.0110 (driver float: 1.013)
img 7: label 9, pred 9, q₀ = 9461/10000 → radius ≥ 1606/2000 = 0.8030 (driver float: 0.804)
img 8: label 5, pred 5, q₀ = 8631/10000 → radius ≥ 1093/2000 = 0.5465 (driver float: 0.547)
img 9: label 9, pred 9, q₀ = 9690/10000 → radius ≥ 1863/2000 = 0.9315 (driver float: 0.933)
img 10: label 0, pred 0, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 11: label 6, pred 6, q₀ = 9869/10000 → radius ≥ 2217/2000 = 1.1085 (driver float: 1.112)
img 12: label 9, pred 9, q₀ = 9889/10000 → radius ≥ 2280/2000 = 1.1400 (driver float: 1.143)
img 13: label 0, pred 0, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 14: label 1, pred 1, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 15: label 5, pred 5, q₀ = 9694/10000 → radius ≥ 1869/2000 = 0.9345 (driver float: 0.936)
img 16: label 9, pred 9, q₀ = 9870/10000 → radius ≥ 2220/2000 = 1.1100 (driver float: 1.113)
img 17: label 7, pred 7, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
img 18: label 3, pred 3, q₀ = 9712/10000 → radius ≥ 1896/2000 = 0.9480 (driver float: 0.949)
img 19: label 4, pred 4, q₀ = 9931/10000 → radius ≥ 2452/2000 = 1.2260 (driver float: 1.231)
img 20: label 9, pred 9, q₀ = 9360/10000 → radius ≥ 1520/2000 = 0.7600 (driver float: 0.761)
img 21: label 6, pred 6, q₀ = 9077/10000 → radius ≥ 1326/2000 = 0.6630 (driver float: 0.663)
img 22: label 6, pred 6, q₀ = 9915/10000 → radius ≥ 2378/2000 = 1.1890 (driver float: 1.193)
img 23: label 5, pred 5, q₀ = 9983/10000 → radius ≥ 2894/2000 = 1.4470 (driver float: 1.465)
img 24: label 4, pred 4, q₀ = 8665/10000 → radius ≥ 1109/2000 = 0.5545 (driver float: 0.555)
img 25: label 0, pred 0, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 26: label 7, pred 7, q₀ = 9903/10000 → radius ≥ 2330/2000 = 1.1650 (driver float: 1.169)
img 27: label 4, pred 4, q₀ = 9863/10000 → radius ≥ 2200/2000 = 1.1000 (driver float: 1.103)
img 28: label 0, pred 0, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 29: label 1, pred 1, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 30: label 3, pred 3, q₀ = 9976/10000 → radius ≥ 2794/2000 = 1.3970 (driver float: 1.410)
img 31: label 1, pred 1, q₀ = 9962/10000 → radius ≥ 2652/2000 = 1.3260 (driver float: 1.335)
img 32: label 3, pred 3, q₀ = 9985/10000 → radius ≥ 2929/2000 = 1.4645 (driver float: 1.484)
img 34: label 7, pred 7, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 35: label 2, pred 2, q₀ = 9973/10000 → radius ≥ 2759/2000 = 1.3795 (driver float: 1.391)
img 36: label 7, pred 7, q₀ = 9939/10000 → radius ≥ 2495/2000 = 1.2475 (driver float: 1.253)
img 37: label 1, pred 1, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
img 38: label 2, pred 2, q₀ = 7768/10000 → radius ≥ 761/2000 = 0.3805 (driver float: 0.381)
img 39: label 1, pred 1, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 40: label 1, pred 1, q₀ = 9914/10000 → radius ≥ 2374/2000 = 1.1870 (driver float: 1.191)
img 41: label 7, pred 7, q₀ = 9940/10000 → radius ≥ 2501/2000 = 1.2505 (driver float: 1.256)
img 42: label 4, pred 4, q₀ = 9934/10000 → radius ≥ 2468/2000 = 1.2340 (driver float: 1.239)
img 43: label 2, pred 2, q₀ = 8722/10000 → radius ≥ 1136/2000 = 0.5680 (driver float: 0.568)
img 44: label 3, pred 3, q₀ = 8439/10000 → radius ≥ 1010/2000 = 0.5050 (driver float: 0.505)
img 45: label 5, pred 5, q₀ = 9607/10000 → radius ≥ 1757/2000 = 0.8785 (driver float: 0.879)
img 46: label 1, pred 1, q₀ = 9922/10000 → radius ≥ 2409/2000 = 1.2045 (driver float: 1.209)
img 47: label 2, pred 2, q₀ = 9806/10000 → radius ≥ 2062/2000 = 1.0310 (driver float: 1.033)
img 48: label 4, pred 4, q₀ = 9970/10000 → radius ≥ 2727/2000 = 1.3635 (driver float: 1.374)
img 49: label 4, pred 4, q₀ = 9913/10000 → radius ≥ 2370/2000 = 1.1850 (driver float: 1.189)
img 50: label 6, pred 6, q₀ = 9881/10000 → radius ≥ 2254/2000 = 1.1270 (driver float: 1.130)
img 51: label 3, pred 3, q₀ = 9852/10000 → radius ≥ 2170/2000 = 1.0850 (driver float: 1.088)
img 52: label 5, pred 5, q₀ = 9969/10000 → radius ≥ 2716/2000 = 1.3580 (driver float: 1.369)
img 53: label 5, pred 5, q₀ = 9753/10000 → radius ≥ 1962/2000 = 0.9810 (driver float: 0.983)
img 54: label 6, pred 6, q₀ = 9988/10000 → radius ≥ 2989/2000 = 1.4945 (driver float: 1.518)
img 55: label 0, pred 0, q₀ = 9943/10000 → radius ≥ 2518/2000 = 1.2590 (driver float: 1.265)
img 56: label 4, pred 4, q₀ = 9987/10000 → radius ≥ 2968/2000 = 1.4840 (driver float: 1.506)
img 57: label 1, pred 1, q₀ = 9976/10000 → radius ≥ 2794/2000 = 1.3970 (driver float: 1.410)
img 58: label 9, pred 9, q₀ = 9765/10000 → radius ≥ 1983/2000 = 0.9915 (driver float: 0.993)
img 59: label 5, pred 5, q₀ = 9693/10000 → radius ≥ 1868/2000 = 0.9340 (driver float: 0.935)
img 60: label 7, pred 7, q₀ = 9985/10000 → radius ≥ 2929/2000 = 1.4645 (driver float: 1.484)
img 61: label 8, pred 8, q₀ = 9719/10000 → radius ≥ 1906/2000 = 0.9530 (driver float: 0.955)
img 62: label 9, pred 9, q₀ = 6081/10000 → radius ≥ 274/2000 = 0.1370 (driver float: 0.137)
img 63: label 3, pred 3, q₀ = 7964/10000 → radius ≥ 828/2000 = 0.4140 (driver float: 0.414)
img 64: label 7, pred 7, q₀ = 9638/10000 → radius ≥ 1794/2000 = 0.8970 (driver float: 0.898)
img 65: label 4, pred 4, q₀ = 7679/10000 → radius ≥ 731/2000 = 0.3655 (driver float: 0.366)
img 66: label 6, pred 6, q₀ = 9336/10000 → radius ≥ 1502/2000 = 0.7510 (driver float: 0.752)
img 67: label 4, pred 4, q₀ = 9940/10000 → radius ≥ 2501/2000 = 1.2505 (driver float: 1.256)
img 68: label 3, pred 3, q₀ = 9983/10000 → radius ≥ 2894/2000 = 1.4470 (driver float: 1.465)
img 69: label 0, pred 0, q₀ = 9985/10000 → radius ≥ 2929/2000 = 1.4645 (driver float: 1.484)
img 70: label 7, pred 7, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
img 71: label 0, pred 0, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 72: label 2, pred 2, q₀ = 9890/10000 → radius ≥ 2284/2000 = 1.1420 (driver float: 1.145)
img 73: label 9, pred 9, q₀ = 5723/10000 → radius ≥ 182/2000 = 0.0910 (driver float: 0.091)
img 74: label 1, pred 1, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 75: label 7, pred 7, q₀ = 9900/10000 → radius ≥ 2319/2000 = 1.1595 (driver float: 1.163)
img 76: label 3, pred 3, q₀ = 9957/10000 → radius ≥ 2612/2000 = 1.3060 (driver float: 1.314)
img 77: label 2, pred 2, q₀ = 9107/10000 → radius ≥ 1344/2000 = 0.6720 (driver float: 0.673)
img 78: label 9, pred 9, q₀ = 9742/10000 → radius ≥ 1943/2000 = 0.9715 (driver float: 0.973)
img 79: label 7, pred 7, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 80: label 7, pred 7, q₀ = 8891/10000 → radius ≥ 1221/2000 = 0.6105 (driver float: 0.611)
img 81: label 6, pred 6, q₀ = 9913/10000 → radius ≥ 2370/2000 = 1.1850 (driver float: 1.189)
img 82: label 2, pred 2, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 83: label 7, pred 7, q₀ = 9828/10000 → radius ≥ 2111/2000 = 1.0555 (driver float: 1.058)
img 84: label 8, pred 8, q₀ = 9748/10000 → radius ≥ 1953/2000 = 0.9765 (driver float: 0.978)
img 85: label 4, pred 4, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 86: label 7, pred 7, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
img 87: label 3, pred 3, q₀ = 9554/10000 → radius ≥ 1698/2000 = 0.8490 (driver float: 0.850)
img 88: label 6, pred 6, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
img 89: label 1, pred 1, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
img 90: label 3, pred 3, q₀ = 9929/10000 → radius ≥ 2442/2000 = 1.2210 (driver float: 1.226)
img 91: label 6, pred 6, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 92: label 9, pred 9, q₀ = 6615/10000 → radius ≥ 416/2000 = 0.2080 (driver float: 0.208)
img 93: label 3, pred 3, q₀ = 9853/10000 → radius ≥ 2173/2000 = 1.0865 (driver float: 1.089)
img 94: label 1, pred 1, q₀ = 9985/10000 → radius ≥ 2929/2000 = 1.4645 (driver float: 1.484)
img 95: label 4, pred 4, q₀ = 9934/10000 → radius ≥ 2468/2000 = 1.2340 (driver float: 1.239)
img 96: label 1, pred 1, q₀ = 9521/10000 → radius ≥ 1664/2000 = 0.8320 (driver float: 0.833)
img 97: label 7, pred 7, q₀ = 9841/10000 → radius ≥ 2142/2000 = 1.0710 (driver float: 1.073)
img 98: label 6, pred 6, q₀ = 9411/10000 → radius ≥ 1562/2000 = 0.7810 (driver float: 0.782)
img 99: label 9, pred 9, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
Every MNIST-MLP scorecard image's decimal radius is a theorem: m/2000 ≤ σ·Φ⁻¹(a/10000).
img 0: label 7, pred 7, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 1: label 2, pred 2, q₀ = 9987/10000 → radius ≥ 2968/2000 = 1.4840 (driver float: 1.506)
img 2: label 1, pred 1, q₀ = 9983/10000 → radius ≥ 2894/2000 = 1.4470 (driver float: 1.465)
img 3: label 0, pred 0, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 4: label 4, pred 4, q₀ = 9889/10000 → radius ≥ 2280/2000 = 1.1400 (driver float: 1.143)
img 5: label 1, pred 1, q₀ = 9988/10000 → radius ≥ 2989/2000 = 1.4945 (driver float: 1.518)
img 6: label 4, pred 4, q₀ = 9952/10000 → radius ≥ 2576/2000 = 1.2880 (driver float: 1.295)
img 7: label 9, pred 9, q₀ = 9399/10000 → radius ≥ 1552/2000 = 0.7760 (driver float: 0.777)
img 8: label 5, pred 5, q₀ = 9908/10000 → radius ≥ 2349/2000 = 1.1745 (driver float: 1.179)
img 9: label 9, pred 9, q₀ = 9874/10000 → radius ≥ 2232/2000 = 1.1160 (driver float: 1.119)
img 10: label 0, pred 0, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
img 11: label 6, pred 6, q₀ = 9983/10000 → radius ≥ 2894/2000 = 1.4470 (driver float: 1.465)
img 12: label 9, pred 9, q₀ = 9935/10000 → radius ≥ 2473/2000 = 1.2365 (driver float: 1.242)
img 13: label 0, pred 0, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 14: label 1, pred 1, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 15: label 5, pred 5, q₀ = 9820/10000 → radius ≥ 2092/2000 = 1.0460 (driver float: 1.048)
img 16: label 9, pred 9, q₀ = 9940/10000 → radius ≥ 2501/2000 = 1.2505 (driver float: 1.256)
img 17: label 7, pred 7, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 18: label 3, pred 3, q₀ = 5650/10000 → radius ≥ 163/2000 = 0.0815 (driver float: 0.082)
img 19: label 4, pred 4, q₀ = 9987/10000 → radius ≥ 2968/2000 = 1.4840 (driver float: 1.506)
img 20: label 9, pred 9, q₀ = 7878/10000 → radius ≥ 798/2000 = 0.3990 (driver float: 0.399)
img 21: label 6, pred 6, q₀ = 9834/10000 → radius ≥ 2125/2000 = 1.0625 (driver float: 1.065)
img 22: label 6, pred 6, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 23: label 5, pred 5, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 24: label 4, pred 4, q₀ = 9193/10000 → radius ≥ 1399/2000 = 0.6995 (driver float: 0.700)
img 25: label 0, pred 0, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 26: label 7, pred 7, q₀ = 9982/10000 → radius ≥ 2878/2000 = 1.4390 (driver float: 1.456)
img 27: label 4, pred 4, q₀ = 9971/10000 → radius ≥ 2737/2000 = 1.3685 (driver float: 1.379)
img 28: label 0, pred 0, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 29: label 1, pred 1, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 30: label 3, pred 3, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 31: label 1, pred 1, q₀ = 9979/10000 → radius ≥ 2834/2000 = 1.4170 (driver float: 1.431)
img 32: label 3, pred 3, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
img 33: label 4, pred 4, q₀ = 6084/10000 → radius ≥ 275/2000 = 0.1375 (driver float: 0.138)
img 34: label 7, pred 7, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 35: label 2, pred 2, q₀ = 9973/10000 → radius ≥ 2759/2000 = 1.3795 (driver float: 1.391)
img 36: label 7, pred 7, q₀ = 9952/10000 → radius ≥ 2576/2000 = 1.2880 (driver float: 1.295)
img 37: label 1, pred 1, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
img 38: label 2, pred 2, q₀ = 8210/10000 → radius ≥ 918/2000 = 0.4590 (driver float: 0.460)
img 39: label 1, pred 1, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
img 40: label 1, pred 1, q₀ = 9965/10000 → radius ≥ 2678/2000 = 1.3390 (driver float: 1.348)
img 41: label 7, pred 7, q₀ = 9750/10000 → radius ≥ 1957/2000 = 0.9785 (driver float: 0.980)
img 42: label 4, pred 4, q₀ = 9983/10000 → radius ≥ 2894/2000 = 1.4470 (driver float: 1.465)
img 43: label 2, pred 2, q₀ = 9939/10000 → radius ≥ 2495/2000 = 1.2475 (driver float: 1.253)
img 44: label 3, pred 3, q₀ = 9890/10000 → radius ≥ 2284/2000 = 1.1420 (driver float: 1.145)
img 45: label 5, pred 5, q₀ = 9919/10000 → radius ≥ 2395/2000 = 1.1975 (driver float: 1.202)
img 46: label 1, pred 1, q₀ = 9988/10000 → radius ≥ 2989/2000 = 1.4945 (driver float: 1.518)
img 47: label 2, pred 2, q₀ = 9988/10000 → radius ≥ 2989/2000 = 1.4945 (driver float: 1.518)
img 48: label 4, pred 4, q₀ = 9810/10000 → radius ≥ 2071/2000 = 1.0355 (driver float: 1.037)
img 49: label 4, pred 4, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
img 50: label 6, pred 6, q₀ = 9945/10000 → radius ≥ 2530/2000 = 1.2650 (driver float: 1.271)
img 51: label 3, pred 3, q₀ = 9976/10000 → radius ≥ 2794/2000 = 1.3970 (driver float: 1.410)
img 52: label 5, pred 5, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 53: label 5, pred 5, q₀ = 9948/10000 → radius ≥ 2549/2000 = 1.2745 (driver float: 1.281)
img 54: label 6, pred 6, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 55: label 0, pred 0, q₀ = 9983/10000 → radius ≥ 2894/2000 = 1.4470 (driver float: 1.465)
img 56: label 4, pred 4, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 57: label 1, pred 1, q₀ = 9988/10000 → radius ≥ 2989/2000 = 1.4945 (driver float: 1.518)
img 58: label 9, pred 9, q₀ = 9971/10000 → radius ≥ 2737/2000 = 1.3685 (driver float: 1.379)
img 59: label 5, pred 5, q₀ = 9979/10000 → radius ≥ 2834/2000 = 1.4170 (driver float: 1.431)
img 60: label 7, pred 7, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 61: label 8, pred 8, q₀ = 7922/10000 → radius ≥ 813/2000 = 0.4065 (driver float: 0.407)
img 62: label 9, pred 9, q₀ = 6176/10000 → radius ≥ 299/2000 = 0.1495 (driver float: 0.150)
img 63: label 3, pred 3, q₀ = 8687/10000 → radius ≥ 1119/2000 = 0.5595 (driver float: 0.560)
img 64: label 7, pred 7, q₀ = 9944/10000 → radius ≥ 2524/2000 = 1.2620 (driver float: 1.268)
img 65: label 4, pred 4, q₀ = 8801/10000 → radius ≥ 1174/2000 = 0.5870 (driver float: 0.588)
img 66: label 6, pred 6, q₀ = 9945/10000 → radius ≥ 2530/2000 = 1.2650 (driver float: 1.271)
img 67: label 4, pred 4, q₀ = 9987/10000 → radius ≥ 2968/2000 = 1.4840 (driver float: 1.506)
img 68: label 3, pred 3, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 69: label 0, pred 0, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 70: label 7, pred 7, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 71: label 0, pred 0, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 72: label 2, pred 2, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 73: label 9, pred 9, q₀ = 7814/10000 → radius ≥ 776/2000 = 0.3880 (driver float: 0.388)
img 74: label 1, pred 1, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 75: label 7, pred 7, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 76: label 3, pred 3, q₀ = 9969/10000 → radius ≥ 2716/2000 = 1.3580 (driver float: 1.369)
img 77: label 2, pred 2, q₀ = 9987/10000 → radius ≥ 2968/2000 = 1.4840 (driver float: 1.506)
img 78: label 9, pred 9, q₀ = 9901/10000 → radius ≥ 2323/2000 = 1.1615 (driver float: 1.165)
img 79: label 7, pred 7, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 80: label 7, pred 7, q₀ = 9908/10000 → radius ≥ 2349/2000 = 1.1745 (driver float: 1.179)
img 81: label 6, pred 6, q₀ = 9985/10000 → radius ≥ 2929/2000 = 1.4645 (driver float: 1.484)
img 82: label 2, pred 2, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 83: label 7, pred 7, q₀ = 9979/10000 → radius ≥ 2834/2000 = 1.4170 (driver float: 1.431)
img 84: label 8, pred 8, q₀ = 9973/10000 → radius ≥ 2759/2000 = 1.3795 (driver float: 1.391)
img 85: label 4, pred 4, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 86: label 7, pred 7, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 87: label 3, pred 3, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 88: label 6, pred 6, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 89: label 1, pred 1, q₀ = 9973/10000 → radius ≥ 2759/2000 = 1.3795 (driver float: 1.391)
img 90: label 3, pred 3, q₀ = 9971/10000 → radius ≥ 2737/2000 = 1.3685 (driver float: 1.379)
img 91: label 6, pred 6, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 92: label 9, pred 9, q₀ = 7364/10000 → radius ≥ 632/2000 = 0.3160 (driver float: 0.316)
img 93: label 3, pred 3, q₀ = 9983/10000 → radius ≥ 2894/2000 = 1.4470 (driver float: 1.465)
img 94: label 1, pred 1, q₀ = 9988/10000 → radius ≥ 2989/2000 = 1.4945 (driver float: 1.518)
img 95: label 4, pred 4, q₀ = 9799/10000 → radius ≥ 2048/2000 = 1.0240 (driver float: 1.026)
img 96: label 1, pred 1, q₀ = 9967/10000 → radius ≥ 2697/2000 = 1.3485 (driver float: 1.358)
img 97: label 7, pred 7, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 98: label 6, pred 6, q₀ = 9883/10000 → radius ≥ 2260/2000 = 1.1300 (driver float: 1.133)
img 99: label 9, pred 9, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
Every MNIST-CNN scorecard image's decimal radius is a theorem: m/2000 ≤ σ·Φ⁻¹(a/10000).
img 0: label 3, pred 3, q₀ = 7230/10000 → radius ≥ 591/2000 = 0.2955 (driver float: 0.296)
img 1: label 8, pred 8, q₀ = 8313/10000 → radius ≥ 959/2000 = 0.4795 (driver float: 0.480)
img 2: label 8, pred 8, q₀ = 7172/10000 → radius ≥ 574/2000 = 0.2870 (driver float: 0.287)
img 4: label 6, pred 6, q₀ = 8380/10000 → radius ≥ 985/2000 = 0.4925 (driver float: 0.493)
img 5: label 6, pred 6, q₀ = 9947/10000 → radius ≥ 2543/2000 = 1.2715 (driver float: 1.278)
img 6: label 1, pred 1, q₀ = 8574/10000 → radius ≥ 1068/2000 = 0.5340 (driver float: 0.534)
img 7: label 6, pred 6, q₀ = 8967/10000 → radius ≥ 1262/2000 = 0.6310 (driver float: 0.631)
img 8: label 3, pred 3, q₀ = 8206/10000 → radius ≥ 917/2000 = 0.4585 (driver float: 0.459)
img 9: label 1, pred 1, q₀ = 5878/10000 → radius ≥ 221/2000 = 0.1105 (driver float: 0.111)
img 11: label 9, pred 9, q₀ = 7964/10000 → radius ≥ 828/2000 = 0.4140 (driver float: 0.414)
img 13: label 7, pred 7, q₀ = 9167/10000 → radius ≥ 1382/2000 = 0.6910 (driver float: 0.692)
img 14: label 9, pred 9, q₀ = 9933/10000 → radius ≥ 2462/2000 = 1.2310 (driver float: 1.236)
img 15: label 8, pred 8, q₀ = 8108/10000 → radius ≥ 880/2000 = 0.4400 (driver float: 0.440)
img 16: label 5, pred 7, q₀ = 5460/10000 → radius ≥ 115/2000 = 0.0575 (driver float: 0.058) (misclassified)
img 18: label 8, pred 8, q₀ = 9184/10000 → radius ≥ 1393/2000 = 0.6965 (driver float: 0.697)
img 19: label 6, pred 6, q₀ = 8123/10000 → radius ≥ 886/2000 = 0.4430 (driver float: 0.443)
img 21: label 0, pred 2, q₀ = 9945/10000 → radius ≥ 2530/2000 = 1.2650 (driver float: 1.271) (misclassified)
img 22: label 4, pred 2, q₀ = 5816/10000 → radius ≥ 205/2000 = 0.1025 (driver float: 0.103) (misclassified)
img 23: label 9, pred 9, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
img 24: label 5, pred 2, q₀ = 5865/10000 → radius ≥ 218/2000 = 0.1090 (driver float: 0.109) (misclassified)
img 26: label 4, pred 2, q₀ = 8751/10000 → radius ≥ 1150/2000 = 0.5750 (driver float: 0.575) (misclassified)
img 27: label 0, pred 7, q₀ = 9069/10000 → radius ≥ 1321/2000 = 0.6605 (driver float: 0.661) (misclassified)
img 28: label 9, pred 9, q₀ = 9810/10000 → radius ≥ 2071/2000 = 1.0355 (driver float: 1.037)
img 29: label 6, pred 6, q₀ = 9959/10000 → radius ≥ 2628/2000 = 1.3140 (driver float: 1.322)
img 30: label 6, pred 3, q₀ = 5253/10000 → radius ≥ 63/2000 = 0.0315 (driver float: 0.032) (misclassified)
img 31: label 5, pred 7, q₀ = 5578/10000 → radius ≥ 145/2000 = 0.0725 (driver float: 0.073) (misclassified)
img 32: label 4, pred 4, q₀ = 7700/10000 → radius ≥ 738/2000 = 0.3690 (driver float: 0.369)
img 33: label 5, pred 5, q₀ = 9353/10000 → radius ≥ 1515/2000 = 0.7575 (driver float: 0.758)
img 34: label 9, pred 9, q₀ = 9790/10000 → radius ≥ 2030/2000 = 1.0150 (driver float: 1.017)
img 35: label 2, pred 1, q₀ = 5951/10000 → radius ≥ 240/2000 = 0.1200 (driver float: 0.120) (misclassified)
img 37: label 1, pred 9, q₀ = 9954/10000 → radius ≥ 2590/2000 = 1.2950 (driver float: 1.302) (misclassified)
img 38: label 9, pred 9, q₀ = 9132/10000 → radius ≥ 1359/2000 = 0.6795 (driver float: 0.680)
img 39: label 5, pred 5, q₀ = 6176/10000 → radius ≥ 299/2000 = 0.1495 (driver float: 0.150)
img 41: label 6, pred 6, q₀ = 9594/10000 → radius ≥ 1741/2000 = 0.8705 (driver float: 0.872)
img 42: label 5, pred 5, q₀ = 9649/10000 → radius ≥ 1808/2000 = 0.9040 (driver float: 0.905)
img 45: label 9, pred 9, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597)
img 46: label 3, pred 3, q₀ = 7059/10000 → radius ≥ 541/2000 = 0.2705 (driver float: 0.271)
img 47: label 9, pred 3, q₀ = 9073/10000 → radius ≥ 1323/2000 = 0.6615 (driver float: 0.662) (misclassified)
img 48: label 7, pred 7, q₀ = 6441/10000 → radius ≥ 369/2000 = 0.1845 (driver float: 0.185)
img 49: label 6, pred 6, q₀ = 8937/10000 → radius ≥ 1245/2000 = 0.6225 (driver float: 0.623)
img 50: label 9, pred 9, q₀ = 9990/10000 → radius ≥ 3036/2000 = 1.5180 (driver float: 1.545)
img 51: label 8, pred 8, q₀ = 8597/10000 → radius ≥ 1078/2000 = 0.5390 (driver float: 0.539)
img 52: label 0, pred 6, q₀ = 6531/10000 → radius ≥ 393/2000 = 0.1965 (driver float: 0.197) (misclassified)
img 53: label 3, pred 3, q₀ = 6486/10000 → radius ≥ 381/2000 = 0.1905 (driver float: 0.191)
img 54: label 8, pred 8, q₀ = 9934/10000 → radius ≥ 2468/2000 = 1.2340 (driver float: 1.239)
img 55: label 8, pred 8, q₀ = 9136/10000 → radius ≥ 1362/2000 = 0.6810 (driver float: 0.682)
img 57: label 7, pred 6, q₀ = 7116/10000 → radius ≥ 557/2000 = 0.2785 (driver float: 0.279) (misclassified)
img 60: label 7, pred 7, q₀ = 9293/10000 → radius ≥ 1469/2000 = 0.7345 (driver float: 0.735)
img 61: label 3, pred 3, q₀ = 9415/10000 → radius ≥ 1566/2000 = 0.7830 (driver float: 0.784)
img 62: label 6, pred 6, q₀ = 7129/10000 → radius ≥ 561/2000 = 0.2805 (driver float: 0.281)
img 63: label 3, pred 9, q₀ = 6331/10000 → radius ≥ 340/2000 = 0.1700 (driver float: 0.170) (misclassified)
img 64: label 6, pred 5, q₀ = 5710/10000 → radius ≥ 178/2000 = 0.0890 (driver float: 0.089) (misclassified)
img 65: label 2, pred 2, q₀ = 5649/10000 → radius ≥ 163/2000 = 0.0815 (driver float: 0.082)
img 67: label 2, pred 2, q₀ = 7282/10000 → radius ≥ 607/2000 = 0.3035 (driver float: 0.304)
img 68: label 3, pred 3, q₀ = 9886/10000 → radius ≥ 2270/2000 = 1.1350 (driver float: 1.138)
img 69: label 7, pred 9, q₀ = 9731/10000 → radius ≥ 1925/2000 = 0.9625 (driver float: 0.964) (misclassified)
img 71: label 6, pred 6, q₀ = 8591/10000 → radius ≥ 1075/2000 = 0.5375 (driver float: 0.538)
img 72: label 8, pred 8, q₀ = 9541/10000 → radius ≥ 1684/2000 = 0.8420 (driver float: 0.843)
img 73: label 8, pred 8, q₀ = 9911/10000 → radius ≥ 2362/2000 = 1.1810 (driver float: 1.185)
img 75: label 2, pred 2, q₀ = 6428/10000 → radius ≥ 365/2000 = 0.1825 (driver float: 0.183)
img 76: label 9, pred 9, q₀ = 6678/10000 → radius ≥ 433/2000 = 0.2165 (driver float: 0.217)
img 77: label 3, pred 3, q₀ = 9343/10000 → radius ≥ 1507/2000 = 0.7535 (driver float: 0.754)
img 79: label 8, pred 8, q₀ = 8256/10000 → radius ≥ 936/2000 = 0.4680 (driver float: 0.468)
img 80: label 8, pred 8, q₀ = 8322/10000 → radius ≥ 962/2000 = 0.4810 (driver float: 0.481)
img 81: label 1, pred 1, q₀ = 7717/10000 → radius ≥ 744/2000 = 0.3720 (driver float: 0.372)
img 82: label 1, pred 1, q₀ = 9947/10000 → radius ≥ 2543/2000 = 1.2715 (driver float: 1.278)
img 83: label 7, pred 7, q₀ = 8262/10000 → radius ≥ 938/2000 = 0.4690 (driver float: 0.470)
img 84: label 2, pred 2, q₀ = 5975/10000 → radius ≥ 246/2000 = 0.1230 (driver float: 0.123)
img 85: label 5, pred 7, q₀ = 9993/10000 → radius ≥ 3122/2000 = 1.5610 (driver float: 1.597) (misclassified)
img 86: label 2, pred 2, q₀ = 5991/10000 → radius ≥ 251/2000 = 0.1255 (driver float: 0.126)
img 87: label 7, pred 8, q₀ = 5065/10000 → radius ≥ 16/2000 = 0.0080 (driver float: 0.008) (misclassified)
img 88: label 8, pred 8, q₀ = 7149/10000 → radius ≥ 567/2000 = 0.2835 (driver float: 0.284)
img 89: label 9, pred 9, q₀ = 9736/10000 → radius ≥ 1933/2000 = 0.9665 (driver float: 0.968)
img 90: label 0, pred 0, q₀ = 7599/10000 → radius ≥ 705/2000 = 0.3525 (driver float: 0.353)
img 92: label 8, pred 8, q₀ = 9911/10000 → radius ≥ 2362/2000 = 1.1810 (driver float: 1.185)
img 93: label 6, pred 5, q₀ = 6310/10000 → radius ≥ 334/2000 = 0.1670 (driver float: 0.167) (misclassified)
img 95: label 6, pred 3, q₀ = 6057/10000 → radius ≥ 268/2000 = 0.1340 (driver float: 0.134) (misclassified)
img 96: label 6, pred 6, q₀ = 7580/10000 → radius ≥ 699/2000 = 0.3495 (driver float: 0.350)
img 98: label 0, pred 0, q₀ = 9858/10000 → radius ≥ 2186/2000 = 1.0930 (driver float: 1.096)
img 99: label 7, pred 7, q₀ = 7225/10000 → radius ≥ 590/2000 = 0.2950 (driver float: 0.295)
Every CIFAR-CNN scorecard image's decimal radius is a theorem: m/2000 ≤ σ·Φ⁻¹(a/10000).