diff --git a/README.md b/README.md
index 9e18b20..e705368 100644
--- a/README.md
+++ b/README.md
@@ -81,7 +81,43 @@ Weights: 24.04 GB across 19 files (1.3B DiTs at 512/1024 + shape/tex decoders).
       structure stage: image -> ss_flow -> latent -> ss_dec -> 64^3 occupancy grid
 - [x] `shape_dec` / `tex_dec` — both load complete (292/292, 284/284) and run.
       **Behaviourally** checked only; see the verification note below
-- [ ] End-to-end pipeline wiring (image encoder -> flows -> decoders -> mesh export)
+- [x] **Proj conditioning** — camera back-projection, an exact `grid_sample`
+      equivalent, and DINOv3 (torch/MPS). All four extractor stages diffed against
+      upstream at correlation 1.00000000
+- [x] **NAF high-res branch without natten** — natten is unusable on Apple Silicon
+      (no `libnatten`; `flex-fna` is CPU-only, rejects asymmetric head dims, and was
+      OOM-killed at 512). Replaced by an exact reduction to a clamped 9x9 low-res
+      neighbourhood, verified against natten at 7.15e-07
+- [x] **The full cascade** — 32^3 -> LR SLAT -> coord refinement -> 64^3 HR SLAT ->
+      Flexible Dual Grid at 1024^3 -> GLB, at **silhouette IoU 0.969**
+- [x] **Mesh cleanup** — weld, strip floaters, iterative decimation (500k faces at
+      IoU 0.965; ~214k is a hard floor, see below)
+- [x] **MODELBEAST operator** `pixal3d_mlx` (geometry only)
+- [ ] Texture stage (tex SLAT + o_voxel PBR bake) — the GLB is currently untextured
+
+## Running it
+
+```bash
+python scripts/image_to_mesh.py IMAGE -o out.glb --target-faces 500000
+```
+
+Exits non-zero below `--min-iou` (default 0.85): a run that completes with a
+reconstruction that does not track the input has failed, even though nothing raised.
+
+### Mesh quality, measured
+
+| face budget | result | silhouette IoU |
+|---|---|---|
+| raw decoder output | 7,996,876 | 0.969 |
+| 500,000 | 499,984 | **0.965** |
+| 200,000 / 100,000 / 20,000 | 214,322 (floor) | 0.823 |
+
+**~214k is a hard floor.** The Flexible Dual Grid emits ~180,000 boundary edges for
+open surfaces and quadric decimation will not collapse those — no `target_reduction`
+or `agg` setting changes it, and a single `fast_simplification` call additionally
+refuses to reduce past ~4.4% of its input (hence the iterative loop). Going lower
+needs a remesh; o_voxel's ran >20 minutes on 214k faces before being killed, so it is
+not currently a practical route. **500k is effectively lossless — use that.**
 
 
 ## Model status