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## Status
-**Phase 1 complete.** G-buffer integrated (raster + pack), 35/35 tests pass.
-Training infrastructure ready. U-Net WGSL shaders are next.
+**Phases 1–7 complete.** 36/36 tests pass.
-See `cnn_v3/docs/HOWTO.md` for the practical playbook.
+| Phase | Status |
+|-------|--------|
+| 1 — G-buffer (raster + pack) | ✅ |
+| 2 — Training infrastructure | ✅ |
+| 3 — WGSL U-Net shaders | ✅ |
+| 4 — C++ CNNv3Effect + FiLM | ✅ |
+| 5 — Parity validation | ✅ max_err=4.88e-4 |
+| 6 — Training script | ✅ train_cnn_v3.py |
+| 7 — Validation tools | ✅ GBufViewEffect + web sample loader |
+
+See `cnn_v3/docs/HOWTO.md` for the practical playbook (§9 covers validation tools).
See `cnn_v3/docs/CNN_V3.md` for full design.
See `cnn_v2/` for reference implementation.