refactor(cnn): rename cnn_effect to cnn_v1_effect for clarity

Renamed files and classes:
- cnn_effect.{h,cc} → cnn_v1_effect.{h,cc}
- CNNEffect → CNNv1Effect
- CNNEffectParams → CNNv1EffectParams
- CNNLayerParams → CNNv1LayerParams
- CNN_EFFECT.md → CNN_V1_EFFECT.md

Updated all references:
- C++ includes and class usage
- CMake source list
- Timeline (workspaces/main/timeline.seq)
- Test file (test_demo_effects.cc)
- Documentation (CLAUDE.md, PROJECT_CONTEXT.md, READMEs)

Tests: 34/34 passing (100%)

2 files changed, 6 insertions, 6 deletions

diff --git a/doc/COMPLETED.md b/doc/COMPLETED.md
index 55fac50..08767ea 100644
--- a/doc/COMPLETED.md
+++ b/doc/COMPLETED.md
@@ -93,7 +93,7 @@ Use `read @doc/archive/FILENAME.md` to access archived documents.
       - All 36 tests pass (100%)
       - Processes 64×64 test image successfully
       - Ready for ground-truth validation vs Python training script
-      - Documented in `doc/CNN_TEST_TOOL.md`
+      - Documented in `cnn_v1/docs/CNN_TEST_TOOL.md`
 
 ## Recently Completed (February 10, 2026)
 
diff --git a/doc/HOWTO.md b/doc/HOWTO.md
index a309b27..59ab6fd 100644
--- a/doc/HOWTO.md
+++ b/doc/HOWTO.md
@@ -100,7 +100,7 @@ make run_util_tests     # Utility tests
 Extracts patches at salient points, trains on center pixels only (matches WGSL sliding window):
 ```bash
 # Train with 32×32 patches at detected corners/edges
-./training/train_cnn.py \
+./cnn_v1/training/train_cnn.py \
   --input training/input/ --target training/output/ \
   --patch-size 32 --patches-per-image 64 --detector harris \
   --layers 3 --kernel_sizes 3,5,3 --epochs 5000 --batch_size 16 \
@@ -117,7 +117,7 @@ Extracts patches at salient points, trains on center pixels only (matches WGSL s
 ### Full-Image
 Processes entire image with sliding window (matches WGSL):
 ```bash
-./training/train_cnn.py \
+./cnn_v1/training/train_cnn.py \
   --input training/input/ --target training/output/ \
   --layers 3 --kernel_sizes 3,5,3 --epochs 10000 --batch_size 8 \
   --checkpoint-every 1000
@@ -126,10 +126,10 @@ Processes entire image with sliding window (matches WGSL):
 ### Export & Validation
 ```bash
 # Generate shaders from checkpoint
-./training/train_cnn.py --export-only checkpoints/checkpoint_epoch_5000.pth
+./cnn_v1/training/train_cnn.py --export-only checkpoints/checkpoint_epoch_5000.pth
 
 # Generate ground truth (sliding window, no tiling)
-./training/train_cnn.py --infer input.png \
+./cnn_v1/training/train_cnn.py --infer input.png \
   --export-only checkpoints/checkpoint_epoch_5000.pth \
   --output ground_truth.png
 ```
@@ -327,7 +327,7 @@ See `doc/ASSET_SYSTEM.md` and `doc/WORKSPACE_SYSTEM.md`.
 
 **Note:** `--weights` loads layer count and kernel sizes from the binary file, overriding `--layers` and forcing CNN v2.
 
-See `doc/CNN_TEST_TOOL.md` for full documentation.
+See `cnn_v1/docs/CNN_TEST_TOOL.md` for full documentation.
 
 ---