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-# Diagnosis: 255 → 253 Loss (-2 LSBs)
-
-## Findings
-
-### F16 Precision
-✅ **No loss:** 1.0 → f16(0x3c00) → 1.0 (exact round-trip)
-
-### Visualization Scale
-⚠️ **Inconsistent:**
-- Layer 1 uses `vizScale = 0.5` (line 1530)
-- Should render as 128, not 253
-- **User seeing 253 suggests viewing Static Features (scale=1.0), not CNN output**
-
-### Suspected Issue: Input Alpha Channel
-
-**Code:** `tools/cnn_v2_test/index.html` line 1233
-```javascript
-depthData[i] = pixels[i * 4 + 3] / 255.0;  // Alpha from canvas
-```
-
-**Hypothesis:** Input PNG alpha channel = 253 (not 255)
-- Browsers may set alpha < 255 for certain images
-- Pre-multiplied alpha corrections
-- PNG encoder compression artifacts
-
-### Test
-
-**Check input alpha:**
-```javascript
-// In HTML tool console:
-const canvas = document.createElement('canvas');
-canvas.width = tester.image.width;
-canvas.height = tester.image.height;
-const ctx = canvas.getContext('2d');
-ctx.drawImage(tester.image, 0, 0);
-const imgData = ctx.getImageData(0, 0, canvas.width, canvas.height);
-const alpha = imgData.data[3];  // First pixel alpha
-console.log('First pixel alpha:', alpha);
-```
-
-### Alternative: C++ Reference
-
-Check if `cnn_test` tool produces same -2 loss:
-```bash
-# Generate solid white 8×8 test image with alpha=255
-python3 -c "
-from PIL import Image
-import numpy as np
-img = np.ones((8, 8, 4), dtype=np.uint8) * 255
-Image.fromarray(img, 'RGBA').save('test_white_255.png')
-print('Created test_white_255.png: all pixels RGBA=(255,255,255,255)')
-"
-
-# Test with HTML tool → check if p3 = 1.0 or 0.9921875
-# Test with cnn_test → compare output
-./build/cnn_test test_white_255.png output.png --cnn-version 2 --debug-hex
-```
-
-### Next Steps
-
-1. **Verify input:** Check alpha channel of user's input image
-2. **Add debug:** Log first pixel RGBA values in HTML tool
-3. **Compare:** Run same image through C++ cnn_test
-4. **Isolate:** Test with synthetic 255 alpha image
-
-## Conclusion
-
-**Most likely:** Input image alpha ≠ 255, already 253 before CNN processing.
-**Verify:** User should check input PNG metadata and alpha channel values.