Update docs and help messages for CNN v2 completion

Updated:
- HOWTO.md: Complete pipeline, storage buffer, --validate mode
- TODO.md: Mark CNN v2 complete, add QAT TODO
- PROJECT_CONTEXT.md: Update Effects status
- CNN_V2.md: Mark complete, add storage buffer notes
- train_cnn_v2_full.sh: Add --help message

All documentation now reflects:
- Storage buffer architecture
- Binary weight format
- Live training progress
- Validation-only mode
- 8-bit quantization TODO

1 files changed, 5 insertions, 2 deletions

diff --git a/doc/CNN_V2.md b/doc/CNN_V2.md
index b3b6587..9407934 100644
--- a/doc/CNN_V2.md
+++ b/doc/CNN_V2.md
@@ -13,10 +13,13 @@ CNN v2 extends the original CNN post-processing effect with parametric static fe
 - Multi-frequency position encoding (NeRF-style)
 - Per-layer configurable kernel sizes (1×1, 3×3, 5×5)
 - Variable channel counts per layer
-- Float16 weight storage (GPU-optimized)
+- Float16 weight storage (~3.2 KB for 3-layer model)
 - Bias integrated as static feature dimension
+- Storage buffer architecture (dynamic layer count)
+- Binary weight format for runtime loading
 
-**Status:** Design complete, ready for implementation
+**Status:** ✅ Complete. Training pipeline functional, validation tools ready.
+**TODO:** 8-bit quantization with QAT for 2× size reduction (~1.6 KB)
 
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