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%)

3 files changed, 4 insertions, 4 deletions

diff --git a/cnn_v1/docs/CNN.md b/cnn_v1/docs/CNN.md
index 2dc3362..5d9a667 100644
--- a/cnn_v1/docs/CNN.md
+++ b/cnn_v1/docs/CNN.md
@@ -8,7 +8,7 @@ Have the input 3d scene be processed by a multi-layer CNN trained on the side.
 Input: some rendered scene.
 Output: 'stylized' scene with CNN post-processing.
 
-**See `doc/CNN_EFFECT.md` for implementation details, usage, and API reference.**
+**See `CNN_V1_EFFECT.md` for implementation details, usage, and API reference.**
 
 ## Shader implementation
 
diff --git a/cnn_v1/docs/CNN_FLATTEN_ANALYSIS.md b/cnn_v1/docs/CNN_FLATTEN_ANALYSIS.md
index bf63c5d..8664157 100644
--- a/cnn_v1/docs/CNN_FLATTEN_ANALYSIS.md
+++ b/cnn_v1/docs/CNN_FLATTEN_ANALYSIS.md
@@ -183,7 +183,7 @@ These yield better size/performance than shader architecture changes.
 
 ## References
 
-- `doc/CNN_EFFECT.md` - CNN implementation details
-- `doc/CNN.md` - High-level CNN design
-- `src/effects/cnn_effect.cc` - Current implementation
+- `CNN_V1_EFFECT.md` - CNN implementation details
+- `CNN.md` - High-level CNN design
+- `../src/cnn_effect.cc` - Current implementation
 - `workspaces/main/shaders/cnn_*.wgsl` - Shader snippets
diff --git a/cnn_v1/docs/CNN_EFFECT.md b/cnn_v1/docs/CNN_V1_EFFECT.md
index 40f095e..40f095e 100644
--- a/cnn_v1/docs/CNN_EFFECT.md
+++ b/cnn_v1/docs/CNN_V1_EFFECT.md