diff --git a/flat/D9/.complete b/flat/D9/.complete
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/flat/D9/.complete_0.60 b/flat/D9/.complete_0.60
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/flat/D9/mesh/w045_spliced_p8D9/meta.json b/flat/D9/mesh/w045_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..26db22dbdf64a1b72f919614fc93d46aa1b2e41e
--- /dev/null
+++ b/flat/D9/mesh/w045_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w047_spliced_p8D9/meta.json b/flat/D9/mesh/w047_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..869bf2fe3ec93e7beafdb62ad4c0da92a0626944
--- /dev/null
+++ b/flat/D9/mesh/w047_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w068_spliced_p8D9/meta.json b/flat/D9/mesh/w068_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..022f6562cd3c8550680ae169e23f9df750dd2dda
--- /dev/null
+++ b/flat/D9/mesh/w068_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w069_spliced_p8D9/meta.json b/flat/D9/mesh/w069_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..ebf0c3037ddeabce5ced012ba2e36f763965d703
--- /dev/null
+++ b/flat/D9/mesh/w069_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w070_spliced_p8D9/meta.json b/flat/D9/mesh/w070_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..09facd9b1f70249d9cc6277d3f5962ba46198ab2
--- /dev/null
+++ b/flat/D9/mesh/w070_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w071_spliced_p8D9/meta.json b/flat/D9/mesh/w071_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..12f67cd12855167d81615e23e5292f129871afca
--- /dev/null
+++ b/flat/D9/mesh/w071_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w072_spliced_p8D9/meta.json b/flat/D9/mesh/w072_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..2cbfe95ea445fa95ca3426ee4a06d2528b23cdf5
--- /dev/null
+++ b/flat/D9/mesh/w072_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w073_spliced_p8D9/meta.json b/flat/D9/mesh/w073_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..7804e248fe9a7a97230cf6d5293aada4c90dafcc
--- /dev/null
+++ b/flat/D9/mesh/w073_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w074_spliced_p8D9/meta.json b/flat/D9/mesh/w074_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..3a284fe08cf8b80570a5bf9cea98f92d7fa7f6c9
--- /dev/null
+++ b/flat/D9/mesh/w074_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w075_spliced_p8D9/meta.json b/flat/D9/mesh/w075_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..2e41fd8646fc2ab9b741a4293ff5d743bb73d22c
--- /dev/null
+++ b/flat/D9/mesh/w075_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w076_spliced_p8D9/meta.json b/flat/D9/mesh/w076_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..7aa05a1f80983a3cc67cba9a76563582dcae9282
--- /dev/null
+++ b/flat/D9/mesh/w076_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w077_spliced_p8D9/meta.json b/flat/D9/mesh/w077_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..7aedefec72f0b38e36a349c642b9875b2390fb1f
--- /dev/null
+++ b/flat/D9/mesh/w077_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w078_spliced_p8D9/meta.json b/flat/D9/mesh/w078_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..b53fee1f39f61042c0968a798fa02f40540626c1
--- /dev/null
+++ b/flat/D9/mesh/w078_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w080_spliced_p8D9/meta.json b/flat/D9/mesh/w080_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..405b1a3d1f4528f0d76388da6b9683155078264e
--- /dev/null
+++ b/flat/D9/mesh/w080_spliced_p8D9/meta.json
@@ -0,0 +1 @@
+{"uuid": "flatten.tifxyz", "name": "flatten.tifxyz", "type": "seg", "format": "tifxyz", "scale": [0.05, 0.05], "bbox": [[1343.2584228515625, 2529.572998046875, 19538.84375], [5686.77392578125, 4807.65966796875, 20543.734375]], "area_vx2": 11751200.0, "model_source": "/workspace/flat/D9/w080_spliced_p8D9/model_final.pt", "fit_config": {"args": {"model-init": "flatten", "flatten_solver": "forward", "flatten_initial_inversion": false, "flatten_output_step": 20.0, "flatten_output_margin": 0.0, "flatten_edge_step_global_scale": 100.0, "input": null, "device": "cuda", "downscale": 4.0, "crop": null, "seed": null, "model-w": null, "model-w-unit": "voxels", "model-h": null, "winding-volume": null, "cuda-gridsample": 1, "erode-valid-mask": 0, "sparse-prefetch-backend": "tensorstore", "corr-point-roi": false, "corr-point-roi-init-margin": 80, "corr-point-roi-output-radius": 20, "mesh-step": 100, "winding-step": 25, "subsample-mesh": 4, "subsample-winding": 4, "depth": 3, "mesh-h": 32, "mesh-w": 32, "init-mode": "cylinder_seed", "z-center": 0.0, "pyramid-d": true, "model-input": null, "model-output": null, "snapshot-interval": 1000, "normal-mask-zero": 0, "out-dir": "/workspace/flat/D9/w080_spliced_p8D9", "tifxyz-init": null, "self-map-init": "off", "flatten-solver": "forward", "approval-inpaint": false, "approval-inpaint-corr-spacing": null, "approval-inpaint-padding-frac": 0.25, "approval-inpaint-output-mask": false, "approval-inpaint-output-mask-dilate": 3, "approval-inpaint-tifxyz": null, "tifxyz-flow-gate-channels": false, "progress": false}, "base": {"flatten_sdir": 1.0, "flatten_edge_step": 1.0, "flatten_avg_offset": 1.0, "flatten_orient": 2.0}, "stages": [{"name": "flatten", "steps": 4500, "lr": 0.01, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05, "flatten_renorm_interval": 500}}, {"name": "flatten", "steps": 1000, "lr": 0.001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}, {"name": "flatten", "steps": 1000, "lr": 0.0001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}], "external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w080_spliced_p8D9"}]}, "area_cm2": 5.85252864}
\ No newline at end of file
diff --git a/flat/D9/mesh/w081_spliced_p8D9/meta.json b/flat/D9/mesh/w081_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..9893dac8686fd537faead121f74ffb76788ffd21
--- /dev/null
+++ b/flat/D9/mesh/w081_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w082_spliced_p8D9/meta.json b/flat/D9/mesh/w082_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..800c394ce20f6626312bffe000c4c3bba99e816c
--- /dev/null
+++ b/flat/D9/mesh/w082_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w083_spliced_p8D9/meta.json b/flat/D9/mesh/w083_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..30c2196307aa7d18e520d3d7b7b403d4b92c6cd7
--- /dev/null
+++ b/flat/D9/mesh/w083_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w084_spliced_p8D9/meta.json b/flat/D9/mesh/w084_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..92d7413004c9e5564e1cafd3b6b4dbb77d2fc857
--- /dev/null
+++ b/flat/D9/mesh/w084_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w085_spliced_p8D9/meta.json b/flat/D9/mesh/w085_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..cb746c88ff569f9c6d933a4a69419222731a928a
--- /dev/null
+++ b/flat/D9/mesh/w085_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w094_spliced_p8D9/meta.json b/flat/D9/mesh/w094_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..cbddd2c0f6875daaff04fc2a2647a79fce1989f9
--- /dev/null
+++ b/flat/D9/mesh/w094_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w096_spliced_p8D9/meta.json b/flat/D9/mesh/w096_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..ff19cd99414151b733dd759982a47cdfeba8fffd
--- /dev/null
+++ b/flat/D9/mesh/w096_spliced_p8D9/meta.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/flat/D9/mesh/w104_spliced_p8D9/meta.json b/flat/D9/mesh/w104_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..c24610b5f752cac73603faf3d91a258dbdca88b3
--- /dev/null
+++ b/flat/D9/mesh/w104_spliced_p8D9/meta.json
@@ -0,0 +1 @@
+{"uuid": "flatten.tifxyz", "name": "flatten.tifxyz", "type": "seg", "format": "tifxyz", "scale": [0.05, 0.05], "bbox": [[921.6826171875, 2196.525390625, 19538.796875], [6039.58984375, 5111.6298828125, 20542.83203125]], "area_vx2": 15819200.0, "model_source": "/workspace/flat/D9/w104_spliced_p8D9/model_final.pt", "fit_config": {"args": {"model-init": "flatten", "flatten_solver": "forward", "flatten_initial_inversion": false, "flatten_output_step": 20.0, "flatten_output_margin": 0.0, "flatten_edge_step_global_scale": 100.0, "input": null, "device": "cuda", "downscale": 4.0, "crop": null, "seed": null, "model-w": null, "model-w-unit": "voxels", "model-h": null, "winding-volume": null, "cuda-gridsample": 1, "erode-valid-mask": 0, "sparse-prefetch-backend": "tensorstore", "corr-point-roi": false, "corr-point-roi-init-margin": 80, "corr-point-roi-output-radius": 20, "mesh-step": 100, "winding-step": 25, "subsample-mesh": 4, "subsample-winding": 4, "depth": 3, "mesh-h": 32, "mesh-w": 32, "init-mode": "cylinder_seed", "z-center": 0.0, "pyramid-d": true, "model-input": null, "model-output": null, "snapshot-interval": 1000, "normal-mask-zero": 0, "out-dir": "/workspace/flat/D9/w104_spliced_p8D9", "tifxyz-init": null, "self-map-init": "off", "flatten-solver": "forward", "approval-inpaint": false, "approval-inpaint-corr-spacing": null, "approval-inpaint-padding-frac": 0.25, "approval-inpaint-output-mask": false, "approval-inpaint-output-mask-dilate": 3, "approval-inpaint-tifxyz": null, "tifxyz-flow-gate-channels": false, "progress": false}, "base": {"flatten_sdir": 1.0, "flatten_edge_step": 1.0, "flatten_avg_offset": 1.0, "flatten_orient": 2.0}, "stages": [{"name": "flatten", "steps": 4500, "lr": 0.01, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05, "flatten_renorm_interval": 500}}, {"name": "flatten", "steps": 1000, "lr": 0.001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}, {"name": "flatten", "steps": 1000, "lr": 0.0001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}], "external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w104_spliced_p8D9"}]}, "area_cm2": 7.648598016}
\ No newline at end of file
diff --git a/flat/D9/mesh/w105_spliced_p8D9/meta.json b/flat/D9/mesh/w105_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..f022f033be2e52556a790e60f86c4b88132ed46f
--- /dev/null
+++ b/flat/D9/mesh/w105_spliced_p8D9/meta.json
@@ -0,0 +1 @@
+{"uuid": "flatten.tifxyz", "name": "flatten.tifxyz", "type": "seg", "format": "tifxyz", "scale": [0.05, 0.05], "bbox": [[898.0910034179688, 2177.979248046875, 19541.025390625], [6043.61181640625, 5126.52197265625, 20540.634765625]], "area_vx2": 16052400.0, "model_source": "/workspace/flat/D9/w105_spliced_p8D9/model_final.pt", "fit_config": {"args": {"model-init": "flatten", "flatten_solver": "forward", "flatten_initial_inversion": false, "flatten_output_step": 20.0, "flatten_output_margin": 0.0, "flatten_edge_step_global_scale": 100.0, "input": null, "device": "cuda", "downscale": 4.0, "crop": null, "seed": null, "model-w": null, "model-w-unit": "voxels", "model-h": null, "winding-volume": null, "cuda-gridsample": 1, "erode-valid-mask": 0, "sparse-prefetch-backend": "tensorstore", "corr-point-roi": false, "corr-point-roi-init-margin": 80, "corr-point-roi-output-radius": 20, "mesh-step": 100, "winding-step": 25, "subsample-mesh": 4, "subsample-winding": 4, "depth": 3, "mesh-h": 32, "mesh-w": 32, "init-mode": "cylinder_seed", "z-center": 0.0, "pyramid-d": true, "model-input": null, "model-output": null, "snapshot-interval": 1000, "normal-mask-zero": 0, "out-dir": "/workspace/flat/D9/w105_spliced_p8D9", "tifxyz-init": null, "self-map-init": "off", "flatten-solver": "forward", "approval-inpaint": false, "approval-inpaint-corr-spacing": null, "approval-inpaint-padding-frac": 0.25, "approval-inpaint-output-mask": false, "approval-inpaint-output-mask-dilate": 3, "approval-inpaint-tifxyz": null, "tifxyz-flow-gate-channels": false, "progress": false}, "base": {"flatten_sdir": 1.0, "flatten_edge_step": 1.0, "flatten_avg_offset": 1.0, "flatten_orient": 2.0}, "stages": [{"name": "flatten", "steps": 4500, "lr": 0.01, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05, "flatten_renorm_interval": 500}}, {"name": "flatten", "steps": 1000, "lr": 0.001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}, {"name": "flatten", "steps": 1000, "lr": 0.0001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}], "external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w105_spliced_p8D9"}]}, "area_cm2": 7.725039206400001}
\ No newline at end of file
diff --git a/flat/D9/mesh/w106_spliced_p8D9/meta.json b/flat/D9/mesh/w106_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..c849d7544500bf8c526b70a2b2e21f990a0b634b
--- /dev/null
+++ b/flat/D9/mesh/w106_spliced_p8D9/meta.json
@@ -0,0 +1 @@
+{"uuid": "flatten.tifxyz", "name": "flatten.tifxyz", "type": "seg", "format": "tifxyz", "scale": [0.05, 0.05], "bbox": [[887.7516479492188, 2160.541015625, 19539.525390625], [6053.26806640625, 5141.80126953125, 20541.111328125]], "area_vx2": 16166000.0, "model_source": "/workspace/flat/D9/w106_spliced_p8D9/model_final.pt", "fit_config": {"args": {"model-init": "flatten", "flatten_solver": "forward", "flatten_initial_inversion": false, "flatten_output_step": 20.0, "flatten_output_margin": 0.0, "flatten_edge_step_global_scale": 100.0, "input": null, "device": "cuda", "downscale": 4.0, "crop": null, "seed": null, "model-w": null, "model-w-unit": "voxels", "model-h": null, "winding-volume": null, "cuda-gridsample": 1, "erode-valid-mask": 0, "sparse-prefetch-backend": "tensorstore", "corr-point-roi": false, "corr-point-roi-init-margin": 80, "corr-point-roi-output-radius": 20, "mesh-step": 100, "winding-step": 25, "subsample-mesh": 4, "subsample-winding": 4, "depth": 3, "mesh-h": 32, "mesh-w": 32, "init-mode": "cylinder_seed", "z-center": 0.0, "pyramid-d": true, "model-input": null, "model-output": null, "snapshot-interval": 1000, "normal-mask-zero": 0, "out-dir": "/workspace/flat/D9/w106_spliced_p8D9", "tifxyz-init": null, "self-map-init": "off", "flatten-solver": "forward", "approval-inpaint": false, "approval-inpaint-corr-spacing": null, "approval-inpaint-padding-frac": 0.25, "approval-inpaint-output-mask": false, "approval-inpaint-output-mask-dilate": 3, "approval-inpaint-tifxyz": null, "tifxyz-flow-gate-channels": false, "progress": false}, "base": {"flatten_sdir": 1.0, "flatten_edge_step": 1.0, "flatten_avg_offset": 1.0, "flatten_orient": 2.0}, "stages": [{"name": "flatten", "steps": 4500, "lr": 0.01, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05, "flatten_renorm_interval": 500}}, {"name": "flatten", "steps": 1000, "lr": 0.001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}, {"name": "flatten", "steps": 1000, "lr": 0.0001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}], "external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w106_spliced_p8D9"}]}, "area_cm2": 7.802973388800001}
\ No newline at end of file
diff --git a/flat/D9/mesh/w107_spliced_p8D9/meta.json b/flat/D9/mesh/w107_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..c1f4d85b0680fb35d6c2b6e78e0a1ae514379670
--- /dev/null
+++ b/flat/D9/mesh/w107_spliced_p8D9/meta.json
@@ -0,0 +1 @@
+{"uuid": "flatten.tifxyz", "name": "flatten.tifxyz", "type": "seg", "format": "tifxyz", "scale": [0.05, 0.05], "bbox": [[856.7776489257812, 2150.226318359375, 19537.0703125], [6081.72607421875, 5156.50341796875, 20539.4375]], "area_vx2": 16245600.0, "model_source": "/workspace/flat/D9/w107_spliced_p8D9/model_final.pt", "fit_config": {"args": {"model-init": "flatten", "flatten_solver": "forward", "flatten_initial_inversion": false, "flatten_output_step": 20.0, "flatten_output_margin": 0.0, "flatten_edge_step_global_scale": 100.0, "input": null, "device": "cuda", "downscale": 4.0, "crop": null, "seed": null, "model-w": null, "model-w-unit": "voxels", "model-h": null, "winding-volume": null, "cuda-gridsample": 1, "erode-valid-mask": 0, "sparse-prefetch-backend": "tensorstore", "corr-point-roi": false, "corr-point-roi-init-margin": 80, "corr-point-roi-output-radius": 20, "mesh-step": 100, "winding-step": 25, "subsample-mesh": 4, "subsample-winding": 4, "depth": 3, "mesh-h": 32, "mesh-w": 32, "init-mode": "cylinder_seed", "z-center": 0.0, "pyramid-d": true, "model-input": null, "model-output": null, "snapshot-interval": 1000, "normal-mask-zero": 0, "out-dir": "/workspace/flat/D9/w107_spliced_p8D9", "tifxyz-init": null, "self-map-init": "off", "flatten-solver": "forward", "approval-inpaint": false, "approval-inpaint-corr-spacing": null, "approval-inpaint-padding-frac": 0.25, "approval-inpaint-output-mask": false, "approval-inpaint-output-mask-dilate": 3, "approval-inpaint-tifxyz": null, "tifxyz-flow-gate-channels": false, "progress": false}, "base": {"flatten_sdir": 1.0, "flatten_edge_step": 1.0, "flatten_avg_offset": 1.0, "flatten_orient": 2.0}, "stages": [{"name": "flatten", "steps": 4500, "lr": 0.01, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05, "flatten_renorm_interval": 500}}, {"name": "flatten", "steps": 1000, "lr": 0.001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}, {"name": "flatten", "steps": 1000, "lr": 0.0001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}], "external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w107_spliced_p8D9"}]}, "area_cm2": 7.8758313984}
\ No newline at end of file
diff --git a/flat/D9/mesh/w108_spliced_p8D9/meta.json b/flat/D9/mesh/w108_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..fe42e82ce83313809edc6eedbeba6dd3a2205375
--- /dev/null
+++ b/flat/D9/mesh/w108_spliced_p8D9/meta.json
@@ -0,0 +1 @@
+{"uuid": "flatten.tifxyz", "name": "flatten.tifxyz", "type": "seg", "format": "tifxyz", "scale": [0.05, 0.05], "bbox": [[823.3927001953125, 2135.462158203125, 19538.01171875], [6097.89453125, 5168.39111328125, 20539.712890625]], "area_vx2": 16332800.0, "model_source": "/workspace/flat/D9/w108_spliced_p8D9/model_final.pt", "fit_config": {"args": {"model-init": "flatten", "flatten_solver": "forward", "flatten_initial_inversion": false, "flatten_output_step": 20.0, "flatten_output_margin": 0.0, "flatten_edge_step_global_scale": 100.0, "input": null, "device": "cuda", "downscale": 4.0, "crop": null, "seed": null, "model-w": null, "model-w-unit": "voxels", "model-h": null, "winding-volume": null, "cuda-gridsample": 1, "erode-valid-mask": 0, "sparse-prefetch-backend": "tensorstore", "corr-point-roi": false, "corr-point-roi-init-margin": 80, "corr-point-roi-output-radius": 20, "mesh-step": 100, "winding-step": 25, "subsample-mesh": 4, "subsample-winding": 4, "depth": 3, "mesh-h": 32, "mesh-w": 32, "init-mode": "cylinder_seed", "z-center": 0.0, "pyramid-d": true, "model-input": null, "model-output": null, "snapshot-interval": 1000, "normal-mask-zero": 0, "out-dir": "/workspace/flat/D9/w108_spliced_p8D9", "tifxyz-init": null, "self-map-init": "off", "flatten-solver": "forward", "approval-inpaint": false, "approval-inpaint-corr-spacing": null, "approval-inpaint-padding-frac": 0.25, "approval-inpaint-output-mask": false, "approval-inpaint-output-mask-dilate": 3, "approval-inpaint-tifxyz": null, "tifxyz-flow-gate-channels": false, "progress": false}, "base": {"flatten_sdir": 1.0, "flatten_edge_step": 1.0, "flatten_avg_offset": 1.0, "flatten_orient": 2.0}, "stages": [{"name": "flatten", "steps": 4500, "lr": 0.01, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05, "flatten_renorm_interval": 500}}, {"name": "flatten", "steps": 1000, "lr": 0.001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}, {"name": "flatten", "steps": 1000, "lr": 0.0001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}], "external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w108_spliced_p8D9"}]}, "area_cm2": 7.948988006400001}
\ No newline at end of file
diff --git a/flat/D9/mesh/w109_spliced_p8D9/meta.json b/flat/D9/mesh/w109_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..b3b072d1d22ee9b15f6ad87d72965dec82ac865f
--- /dev/null
+++ b/flat/D9/mesh/w109_spliced_p8D9/meta.json
@@ -0,0 +1 @@
+{"uuid": "flatten.tifxyz", "name": "flatten.tifxyz", "type": "seg", "format": "tifxyz", "scale": [0.05, 0.05], "bbox": [[801.0344848632812, 2133.12353515625, 19539.466796875], [6137.34033203125, 5170.423828125, 20540.056640625]], "area_vx2": 16436000.0, "model_source": "/workspace/flat/D9/w109_spliced_p8D9/model_final.pt", "fit_config": {"args": {"model-init": "flatten", "flatten_solver": "forward", "flatten_initial_inversion": false, "flatten_output_step": 20.0, "flatten_output_margin": 0.0, "flatten_edge_step_global_scale": 100.0, "input": null, "device": "cuda", "downscale": 4.0, "crop": null, "seed": null, "model-w": null, "model-w-unit": "voxels", "model-h": null, "winding-volume": null, "cuda-gridsample": 1, "erode-valid-mask": 0, "sparse-prefetch-backend": "tensorstore", "corr-point-roi": false, "corr-point-roi-init-margin": 80, "corr-point-roi-output-radius": 20, "mesh-step": 100, "winding-step": 25, "subsample-mesh": 4, "subsample-winding": 4, "depth": 3, "mesh-h": 32, "mesh-w": 32, "init-mode": "cylinder_seed", "z-center": 0.0, "pyramid-d": true, "model-input": null, "model-output": null, "snapshot-interval": 1000, "normal-mask-zero": 0, "out-dir": "/workspace/flat/D9/w109_spliced_p8D9", "tifxyz-init": null, "self-map-init": "off", "flatten-solver": "forward", "approval-inpaint": false, "approval-inpaint-corr-spacing": null, "approval-inpaint-padding-frac": 0.25, "approval-inpaint-output-mask": false, "approval-inpaint-output-mask-dilate": 3, "approval-inpaint-tifxyz": null, "tifxyz-flow-gate-channels": false, "progress": false}, "base": {"flatten_sdir": 1.0, "flatten_edge_step": 1.0, "flatten_avg_offset": 1.0, "flatten_orient": 2.0}, "stages": [{"name": "flatten", "steps": 4500, "lr": 0.01, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05, "flatten_renorm_interval": 500}}, {"name": "flatten", "steps": 1000, "lr": 0.001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}, {"name": "flatten", "steps": 1000, "lr": 0.0001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}], "external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w109_spliced_p8D9"}]}, "area_cm2": 8.023637606400001}
\ No newline at end of file
diff --git a/flat/D9/mesh/w110_spliced_p8D9/meta.json b/flat/D9/mesh/w110_spliced_p8D9/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..3c5d8de67c77b9fbe8978cd4c3a8f21b07b1d7dc
--- /dev/null
+++ b/flat/D9/mesh/w110_spliced_p8D9/meta.json
@@ -0,0 +1 @@
+{"uuid": "flatten.tifxyz", "name": "flatten.tifxyz", "type": "seg", "format": "tifxyz", "scale": [0.05, 0.05], "bbox": [[786.3924560546875, 2127.2890625, 19533.328125], [6155.1318359375, 5181.27490234375, 20540.517578125]], "area_vx2": 16642400.0, "model_source": "/workspace/flat/D9/w110_spliced_p8D9/model_final.pt", "fit_config": {"args": {"model-init": "flatten", "flatten_solver": "forward", "flatten_initial_inversion": false, "flatten_output_step": 20.0, "flatten_output_margin": 0.0, "flatten_edge_step_global_scale": 100.0, "input": null, "device": "cuda", "downscale": 4.0, "crop": null, "seed": null, "model-w": null, "model-w-unit": "voxels", "model-h": null, "winding-volume": null, "cuda-gridsample": 1, "erode-valid-mask": 0, "sparse-prefetch-backend": "tensorstore", "corr-point-roi": false, "corr-point-roi-init-margin": 80, "corr-point-roi-output-radius": 20, "mesh-step": 100, "winding-step": 25, "subsample-mesh": 4, "subsample-winding": 4, "depth": 3, "mesh-h": 32, "mesh-w": 32, "init-mode": "cylinder_seed", "z-center": 0.0, "pyramid-d": true, "model-input": null, "model-output": null, "snapshot-interval": 1000, "normal-mask-zero": 0, "out-dir": "/workspace/flat/D9/w110_spliced_p8D9", "tifxyz-init": null, "self-map-init": "off", "flatten-solver": "forward", "approval-inpaint": false, "approval-inpaint-corr-spacing": null, "approval-inpaint-padding-frac": 0.25, "approval-inpaint-output-mask": false, "approval-inpaint-output-mask-dilate": 3, "approval-inpaint-tifxyz": null, "tifxyz-flow-gate-channels": false, "progress": false}, "base": {"flatten_sdir": 1.0, "flatten_edge_step": 1.0, "flatten_avg_offset": 1.0, "flatten_orient": 2.0}, "stages": [{"name": "flatten", "steps": 4500, "lr": 0.01, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05, "flatten_renorm_interval": 500}}, {"name": "flatten", "steps": 1000, "lr": 0.001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}, {"name": "flatten", "steps": 1000, "lr": 0.0001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}], "external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w110_spliced_p8D9"}]}, "area_cm2": 8.1063493632}
\ No newline at end of file
diff --git a/flat/D9/w045_spliced_p8D9.log b/flat/D9/w045_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..1d654e4360563d23cd196fe3b7745a6c4b875020
--- /dev/null
+++ b/flat/D9/w045_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w045_spliced_p8D9 in 80s -> /workspace/flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w045_spliced_p8D9/flatten.log b/flat/D9/w045_spliced_p8D9/flatten.log
new file mode 100644
index 0000000000000000000000000000000000000000..6fef5313c522ec41785211f5c902415d56d44334
--- /dev/null
+++ b/flat/D9/w045_spliced_p8D9/flatten.log
@@ -0,0 +1,142 @@
+[tifxyz_io] loaded w045_spliced_p8D9: 66x226, 11416/14916 valid (76.5%) step_h=24.078 step_w=25.244 step_diag=24.542 step_avg=24.604
+[model] pyramid levels (C=3, pyramid_d=False): 1x66x226 -> 1x33x113 -> 1x17x57 -> 1x9x29 -> 1x5x15
+data: flatten-only (no volume input)
+model: ModelConfig(mesh_step=100, winding_step=25, subsample_mesh=4, subsample_winding=4, depth=3, mesh_h=32, mesh_w=32, init_mode='cylinder_seed', z_center=0.0, pyramid_d=True, model_input=None, model_output=None)
+opt: OptConfig(device='cuda', snapshot_interval=1000, normal_mask_zero=False)
+[fit] model-init=flatten solver=forward source=/workspace/fit1218D/D9/snap/w045_spliced_p8D9 shape=(66, 226, 3) valid=11416/14916 model_shape=66x226 source_step=20 output_step=20 measured_source_step=24.6002 initial_uv_rescale=1
+initial forward flatten (inversion skipped): map_shape=(66, 226, 2) point_valid=11416/14916 quad_valid=11121/14625
+[optimizer] corr_points=False active_corr_terms=[]
+[optimizer] stage0: params=['map_flatten_ms'] steps=4500 lr=0.01 min_scaledown=0
+[optimizer] stage0: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage0: flatten_edge_step_global_scale=100
+[optimizer] stage0: flatten_diagnostics=0
+[optimizer] stage0: compile_flatten=1 combined=1
+[optimizer] stage0: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage0: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage0: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] stage0: flatten_renorm_interval=500
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage0 0/4500   1.2701       1.0146  1.0146  0.2555  0.2555 0.0000 0.0000   0.0000 0.0000 20.000
+     stage0 1/4500   1.2701   1.2 1.0146  1.0146  0.2555  0.2555 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 100/4500   0.2337  66.1 0.1819  0.1819  0.0518  0.0518 0.0000 0.0000   0.0000 0.0000 19.989
+   stage0 200/4500   0.0857 154.9 0.0641  0.0641  0.0216  0.0216 0.0000 0.0000   0.0000 0.0000 19.996
+   stage0 300/4500   0.0545  91.2 0.0384  0.0384  0.0161  0.0161 0.0000 0.0000   0.0000 0.0000 20.003
+   stage0 400/4500   0.0486  97.0 0.0333  0.0333  0.0153  0.0153 0.0000 0.0000   0.0000 0.0000 20.005
+[optimizer] stage0: flatten renorm step=500 avg_step=20.006 target=20 uv_scale=1.0003
+   stage0 500/4500   0.0466 363.8 0.0319  0.0319  0.0147  0.0147 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 600/4500   0.0448 352.9 0.0308  0.0308  0.0140  0.0140 0.0000 0.0000   0.0000 0.0000 20.006
+   stage0 700/4500   0.0443 383.5 0.0303  0.0303  0.0140  0.0140 0.0000 0.0000   0.0000 0.0000 20.006
+   stage0 800/4500   0.0435 169.1 0.0297  0.0297  0.0138  0.0138 0.0000 0.0000   0.0000 0.0000 20.006
+   stage0 900/4500   0.0430 107.0 0.0294  0.0294  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=1000 avg_step=20.0056 target=20 uv_scale=1.00028
+  stage0 1000/4500   0.0424 136.1 0.0291  0.0291  0.0133  0.0133 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1100/4500   0.0416 304.4 0.0289  0.0289  0.0127  0.0127 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 1200/4500   0.0416 389.8 0.0287  0.0287  0.0129  0.0129 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 1300/4500   0.0414 145.3 0.0286  0.0286  0.0128  0.0128 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 1400/4500   0.0413 114.3 0.0284  0.0284  0.0128  0.0128 0.0000 0.0000   0.0000 0.0000 20.005
+[optimizer] stage0: flatten renorm step=1500 avg_step=20.0051 target=20 uv_scale=1.00025
+  stage0 1500/4500   0.0411 134.4 0.0284  0.0284  0.0127  0.0127 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1600/4500   0.0411 100.7 0.0283  0.0283  0.0128  0.0128 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 1700/4500   0.0407  60.0 0.0282  0.0282  0.0125  0.0125 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 1800/4500   0.0407 145.5 0.0282  0.0282  0.0125  0.0125 0.0000 0.0000   0.0000 0.0000 20.005
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+  stage0 1900/4500   0.0407 372.1 0.0281  0.0281  0.0125  0.0125 0.0000 0.0000   0.0000 0.0000 20.005
+[optimizer] stage0: flatten renorm step=2000 avg_step=20.0049 target=20 uv_scale=1.00025
+  stage0 2000/4500   0.0406 356.6 0.0281  0.0281  0.0125  0.0125 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 2100/4500   0.0406 335.6 0.0283  0.0283  0.0123  0.0123 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 2200/4500   0.0405 185.3 0.0281  0.0281  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 2300/4500   0.0405 156.4 0.0281  0.0281  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 2400/4500   0.0405 155.9 0.0281  0.0281  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+[optimizer] stage0: flatten renorm step=2500 avg_step=20.0048 target=20 uv_scale=1.00024
+  stage0 2500/4500   0.0405 457.9 0.0281  0.0281  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 2600/4500   0.0403 380.7 0.0282  0.0282  0.0121  0.0121 0.0000 0.0000   0.0000 0.0000 20.004
+  stage0 2700/4500   0.0405 420.5 0.0281  0.0281  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 2800/4500   0.0405 416.4 0.0281  0.0281  0.0125  0.0125 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 2900/4500   0.0404 180.0 0.0280  0.0280  0.0123  0.0123 0.0000 0.0000   0.0000 0.0000 20.005
+[optimizer] stage0: flatten renorm step=3000 avg_step=20.005 target=20 uv_scale=1.00025
+  stage0 3000/4500   0.0405 150.8 0.0280  0.0280  0.0125  0.0125 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 3100/4500   0.0409 138.0 0.0281  0.0281  0.0128  0.0128 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 3200/4500   0.0404 466.0 0.0281  0.0281  0.0123  0.0123 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 3300/4500   0.0404 156.3 0.0281  0.0281  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 3400/4500   0.0405 162.0 0.0280  0.0280  0.0125  0.0125 0.0000 0.0000   0.0000 0.0000 20.005
+[optimizer] stage0: flatten renorm step=3500 avg_step=20.0049 target=20 uv_scale=1.00024
+  stage0 3500/4500   0.0404 168.1 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 3600/4500   0.0408 152.9 0.0282  0.0282  0.0127  0.0127 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 3700/4500   0.0403 200.4 0.0281  0.0281  0.0122  0.0122 0.0000 0.0000   0.0000 0.0000 20.004
+  stage0 3800/4500   0.0403 458.4 0.0280  0.0280  0.0123  0.0123 0.0000 0.0000   0.0000 0.0000 20.005
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+  stage0 3900/4500   0.0404 184.5 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+[optimizer] stage0: flatten renorm step=4000 avg_step=20.0049 target=20 uv_scale=1.00025
+  stage0 4000/4500   0.0405 153.6 0.0280  0.0280  0.0125  0.0125 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 4100/4500   0.0404  83.8 0.0281  0.0281  0.0123  0.0123 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 4200/4500   0.0404 255.4 0.0281  0.0281  0.0123  0.0123 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 4300/4500   0.0404 378.6 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 4400/4500   0.0404 344.7 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+[optimizer] stage0: flatten renorm step=4500 avg_step=20.0048 target=20 uv_scale=1.00024
+  stage0 4500/4500   0.0405 165.9 0.0280  0.0280  0.0125  0.0125 1.0e-04 1.0e-04   0.0000 0.0000 20.000
+[optimizer] stage0 'flatten' complete in 44.77s
+[optimizer] stage1: params=['map_flatten_ms'] steps=1000 lr=0.001 min_scaledown=0
+[optimizer] stage1: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage1: flatten_edge_step_global_scale=100
+[optimizer] stage1: flatten_diagnostics=0
+[optimizer] stage1: compile_flatten=1 combined=1
+[optimizer] stage1: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage1: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage1: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage1 0/1000   0.0389       0.0280  0.0280  0.0109  0.0109 0.0000 0.0000   0.0000 0.0000 20.000
+     stage1 1/1000   0.0389  12.5 0.0280  0.0280  0.0109  0.0109 0.0000 0.0000   0.0000 0.0000 20.000
+   stage1 100/1000   0.0403  54.8 0.0280  0.0280  0.0123  0.0123 0.0000 0.0000   0.0000 0.0000 20.005
+   stage1 200/1000   0.0404 157.2 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage1 300/1000   0.0404  60.9 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage1 400/1000   0.0404 207.7 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage1 500/1000   0.0404 303.0 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage1 600/1000   0.0404 310.1 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage1 700/1000   0.0404 385.9 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage1 800/1000   0.0404 116.2 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage1 900/1000   0.0404  56.7 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+  stage1 1000/1000   0.0404  36.4 0.0280  0.0280  0.0123  0.0123 0.0000 0.0000   0.0000 0.0000 20.005
+[optimizer] stage1 'flatten' complete in 11.26s
+[optimizer] stage2: params=['map_flatten_ms'] steps=1000 lr=0.0001 min_scaledown=0
+[optimizer] stage2: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage2: flatten_edge_step_global_scale=100
+[optimizer] stage2: flatten_diagnostics=0
+[optimizer] stage2: compile_flatten=1 combined=1
+[optimizer] stage2: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage2: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage2: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage2 0/1000   0.0404       0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+     stage2 1/1000   0.0404  16.3 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage2 100/1000   0.0404  43.8 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage2 200/1000   0.0404  66.7 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage2 300/1000   0.0404  52.9 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage2 400/1000   0.0404  65.3 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage2 500/1000   0.0404  75.4 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage2 600/1000   0.0404 124.0 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage2 700/1000   0.0404  56.3 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage2 800/1000   0.0404 138.3 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+   stage2 900/1000   0.0404  93.9 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+  stage2 1000/1000   0.0404  73.1 0.0280  0.0280  0.0124  0.0124 0.0000 0.0000   0.0000 0.0000 20.005
+[optimizer] stage2 'flatten' complete in 14.45s
+[optimizer] total optimize time: 1m10.48s
+[fit] peak GPU memory: 0.12 GiB
+[fit2tifxyz] area_vx2=6218000
diff --git a/flat/D9/w045_spliced_p8D9/flatten_input.json b/flat/D9/w045_spliced_p8D9/flatten_input.json
new file mode 100644
index 0000000000000000000000000000000000000000..749b75736806c5ac1b3a5a99c2dccd6c0e30462d
--- /dev/null
+++ b/flat/D9/w045_spliced_p8D9/flatten_input.json
@@ -0,0 +1 @@
+{"external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w045_spliced_p8D9"}]}
diff --git a/flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json b/flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..d312bffd1401f05d5e323dfee8e227120806fa69
--- /dev/null
+++ b/flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json
@@ -0,0 +1,164 @@
+{
+  "uuid": "flatten.tifxyz",
+  "name": "flatten.tifxyz",
+  "type": "seg",
+  "format": "tifxyz",
+  "scale": [
+    0.05,
+    0.05
+  ],
+  "bbox": [
+    [
+      2102.84423828125,
+      3011.107177734375,
+      19541.255859375
+    ],
+    [
+      4715.111328125,
+      4307.36376953125,
+      20538.990234375
+    ]
+  ],
+  "area_vx2": 6218000.0,
+  "model_source": "/workspace/flat/D9/w045_spliced_p8D9/model_final.pt",
+  "fit_config": {
+    "args": {
+      "model-init": "flatten",
+      "flatten_solver": "forward",
+      "flatten_initial_inversion": false,
+      "flatten_output_step": 20.0,
+      "flatten_output_margin": 0.0,
+      "flatten_edge_step_global_scale": 100.0,
+      "input": null,
+      "device": "cuda",
+      "downscale": 4.0,
+      "crop": null,
+      "seed": null,
+      "model-w": null,
+      "model-w-unit": "voxels",
+      "model-h": null,
+      "winding-volume": null,
+      "cuda-gridsample": 1,
+      "erode-valid-mask": 0,
+      "sparse-prefetch-backend": "tensorstore",
+      "corr-point-roi": false,
+      "corr-point-roi-init-margin": 80,
+      "corr-point-roi-output-radius": 20,
+      "mesh-step": 100,
+      "winding-step": 25,
+      "subsample-mesh": 4,
+      "subsample-winding": 4,
+      "depth": 3,
+      "mesh-h": 32,
+      "mesh-w": 32,
+      "init-mode": "cylinder_seed",
+      "z-center": 0.0,
+      "pyramid-d": true,
+      "model-input": null,
+      "model-output": null,
+      "snapshot-interval": 1000,
+      "normal-mask-zero": 0,
+      "out-dir": "/workspace/flat/D9/w045_spliced_p8D9",
+      "tifxyz-init": null,
+      "self-map-init": "off",
+      "flatten-solver": "forward",
+      "approval-inpaint": false,
+      "approval-inpaint-corr-spacing": null,
+      "approval-inpaint-padding-frac": 0.25,
+      "approval-inpaint-output-mask": false,
+      "approval-inpaint-output-mask-dilate": 3,
+      "approval-inpaint-tifxyz": null,
+      "tifxyz-flow-gate-channels": false,
+      "progress": false
+    },
+    "base": {
+      "flatten_sdir": 1.0,
+      "flatten_edge_step": 1.0,
+      "flatten_avg_offset": 1.0,
+      "flatten_orient": 2.0
+    },
+    "stages": [
+      {
+        "name": "flatten",
+        "steps": 4500,
+        "lr": 0.01,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05,
+          "flatten_renorm_interval": 500
+        }
+      },
+      {
+        "name": "flatten",
+        "steps": 1000,
+        "lr": 0.001,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05
+        }
+      },
+      {
+        "name": "flatten",
+        "steps": 1000,
+        "lr": 0.0001,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05
+        }
+      }
+    ],
+    "external_surfaces": [
+      {
+        "path": "/workspace/fit1218D/D9/snap/w045_spliced_p8D9"
+      }
+    ]
+  }
+}
diff --git a/flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/x.tif b/flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/x.tif
new file mode 100644
index 0000000000000000000000000000000000000000..7da91a1ac8c9186749cea42a221b2c12ff9a6290
Binary files /dev/null and b/flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/x.tif differ
diff --git a/flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/y.tif b/flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/y.tif
new file mode 100644
index 0000000000000000000000000000000000000000..4d6ef9ba65f313bf43727b9222a5abce4f625e51
Binary files /dev/null and b/flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/y.tif differ
diff --git a/flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/z.tif b/flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/z.tif
new file mode 100644
index 0000000000000000000000000000000000000000..50b540faf9074cccc059151aaa8ccb813d937530
Binary files /dev/null and b/flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/z.tif differ
diff --git a/flat/D9/w047_spliced_p8D9.log b/flat/D9/w047_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..abda02e33fb00073d388d99956d5bd483b75bc1e
--- /dev/null
+++ b/flat/D9/w047_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w047_spliced_p8D9 in 163s -> /workspace/flat/D9/w047_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w068_spliced_p8D9.log b/flat/D9/w068_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..152d287bb6882c08bd37ec7453e1c289d46c9407
--- /dev/null
+++ b/flat/D9/w068_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w068_spliced_p8D9 in 160s -> /workspace/flat/D9/w068_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w069_spliced_p8D9.log b/flat/D9/w069_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..deb943ff0542e341450b0b9fd1898519f0c5b4d1
--- /dev/null
+++ b/flat/D9/w069_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w069_spliced_p8D9 in 100s -> /workspace/flat/D9/w069_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w070_spliced_p8D9.log b/flat/D9/w070_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..08e99e825830968d9793a897c3284faa6eb87fb5
--- /dev/null
+++ b/flat/D9/w070_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w070_spliced_p8D9 in 135s -> /workspace/flat/D9/w070_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w071_spliced_p8D9.log b/flat/D9/w071_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..d8bda1e6f23af4c9da0bb0bb6dd969cf5e520575
--- /dev/null
+++ b/flat/D9/w071_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w071_spliced_p8D9 in 170s -> /workspace/flat/D9/w071_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w072_spliced_p8D9.log b/flat/D9/w072_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..4f7c88829215ead8a308849ce79855b41f637752
--- /dev/null
+++ b/flat/D9/w072_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w072_spliced_p8D9 in 91s -> /workspace/flat/D9/w072_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w072_spliced_p8D9/flatten.log b/flat/D9/w072_spliced_p8D9/flatten.log
new file mode 100644
index 0000000000000000000000000000000000000000..9b7983a1d92e06c3016eedcdb787a61fa3b19f2e
--- /dev/null
+++ b/flat/D9/w072_spliced_p8D9/flatten.log
@@ -0,0 +1,142 @@
+[tifxyz_io] loaded w072_spliced_p8D9: 66x360, 18030/23760 valid (75.9%) step_h=25.511 step_w=25.336 step_diag=25.204 step_avg=25.314
+[model] pyramid levels (C=3, pyramid_d=False): 1x66x360 -> 1x33x180 -> 1x17x90 -> 1x9x45 -> 1x5x23
+data: flatten-only (no volume input)
+model: ModelConfig(mesh_step=100, winding_step=25, subsample_mesh=4, subsample_winding=4, depth=3, mesh_h=32, mesh_w=32, init_mode='cylinder_seed', z_center=0.0, pyramid_d=True, model_input=None, model_output=None)
+opt: OptConfig(device='cuda', snapshot_interval=1000, normal_mask_zero=False)
+[fit] model-init=flatten solver=forward source=/workspace/fit1218D/D9/snap/w072_spliced_p8D9 shape=(66, 360, 3) valid=18030/23760 model_shape=66x360 source_step=20 output_step=20 measured_source_step=25.3138 initial_uv_rescale=1
+initial forward flatten (inversion skipped): map_shape=(66, 360, 2) point_valid=18030/23760 quad_valid=17589/23335
+[optimizer] corr_points=False active_corr_terms=[]
+[optimizer] stage0: params=['map_flatten_ms'] steps=4500 lr=0.01 min_scaledown=0
+[optimizer] stage0: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage0: flatten_edge_step_global_scale=100
+[optimizer] stage0: flatten_diagnostics=0
+[optimizer] stage0: compile_flatten=1 combined=1
+[optimizer] stage0: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage0: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage0: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] stage0: flatten_renorm_interval=500
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage0 0/4500   1.4205       1.0992  1.0992  0.3214  0.3214 0.0000 0.0000   0.0000 0.0000 20.000
+     stage0 1/4500   1.4205   0.1 1.0992  1.0992  0.3214  0.3214 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 100/4500   0.3255 125.1 0.2336  0.2336  0.0920  0.0920 0.0000 0.0000   0.0000 0.0000 19.978
+   stage0 200/4500   0.1679 149.7 0.1145  0.1145  0.0535  0.0535 0.0000 0.0000   0.0000 0.0000 19.979
+   stage0 300/4500   0.0994 365.6 0.0669  0.0669  0.0325  0.0325 0.0000 0.0000   0.0000 0.0000 19.985
+   stage0 400/4500   0.0695 362.3 0.0475  0.0475  0.0220  0.0220 0.0000 0.0000   0.0000 0.0000 19.992
+[optimizer] stage0: flatten renorm step=500 avg_step=19.9963 target=20 uv_scale=0.999814
+   stage0 500/4500   0.0570 376.7 0.0394  0.0394  0.0175  0.0175 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 600/4500   0.0484 185.8 0.0342  0.0342  0.0142  0.0142 0.0000 0.0000   0.0000 0.0000 19.999
+   stage0 700/4500   0.0455 138.5 0.0321  0.0321  0.0134  0.0134 0.0000 0.0000   0.0000 0.0000 20.001
+   stage0 800/4500   0.0445 106.5 0.0310  0.0310  0.0135  0.0135 0.0000 0.0000   0.0000 0.0000 20.003
+   stage0 900/4500   0.0436 322.9 0.0305  0.0305  0.0131  0.0131 0.0000 0.0000   0.0000 0.0000 20.003
+[optimizer] stage0: flatten renorm step=1000 avg_step=20.0048 target=20 uv_scale=1.00024
+  stage0 1000/4500   0.0441 359.2 0.0302  0.0302  0.0139  0.0139 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1100/4500   0.0441 115.6 0.0303  0.0303  0.0138  0.0138 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 1200/4500   0.0442 136.0 0.0301  0.0301  0.0141  0.0141 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 1300/4500   0.0442 132.1 0.0299  0.0299  0.0142  0.0142 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 1400/4500   0.0441 341.2 0.0299  0.0299  0.0142  0.0142 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=1500 avg_step=20.0061 target=20 uv_scale=1.0003
+  stage0 1500/4500   0.0440 208.7 0.0298  0.0298  0.0142  0.0142 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1600/4500   0.0434 114.5 0.0299  0.0299  0.0135  0.0135 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 1700/4500   0.0437 128.7 0.0297  0.0297  0.0140  0.0140 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 1800/4500   0.0438 151.0 0.0297  0.0297  0.0141  0.0141 0.0000 0.0000   0.0000 0.0000 20.006
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+  stage0 1900/4500   0.0436 291.6 0.0296  0.0296  0.0140  0.0140 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=2000 avg_step=20.0065 target=20 uv_scale=1.00032
+  stage0 2000/4500   0.0438 385.5 0.0296  0.0296  0.0142  0.0142 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 2100/4500   0.0431 123.3 0.0298  0.0298  0.0133  0.0133 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 2200/4500   0.0433 110.9 0.0296  0.0296  0.0137  0.0137 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2300/4500   0.0433 150.4 0.0295  0.0295  0.0137  0.0137 1.0e-04 1.0e-04   0.0000 0.0000 20.006
+  stage0 2400/4500   0.0432 317.8 0.0294  0.0294  0.0137  0.0137 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=2500 avg_step=20.0061 target=20 uv_scale=1.0003
+  stage0 2500/4500   0.0431 108.2 0.0294  0.0294  0.0138  0.0138 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 2600/4500   0.0424  99.5 0.0296  0.0296  0.0128  0.0128 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 2700/4500   0.0428 135.5 0.0294  0.0294  0.0134  0.0134 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2800/4500   0.0428 250.3 0.0293  0.0293  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2900/4500   0.0428 360.1 0.0292  0.0292  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=3000 avg_step=20.006 target=20 uv_scale=1.0003
+  stage0 3000/4500   0.0427 126.8 0.0292  0.0292  0.0135  0.0135 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 3100/4500   0.0424  95.5 0.0294  0.0294  0.0129  0.0129 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 3200/4500   0.0427 190.0 0.0293  0.0293  0.0134  0.0134 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3300/4500   0.0425 423.9 0.0292  0.0292  0.0133  0.0133 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3400/4500   0.0428 240.1 0.0291  0.0291  0.0137  0.0137 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=3500 avg_step=20.0064 target=20 uv_scale=1.00032
+  stage0 3500/4500   0.0429 128.3 0.0291  0.0291  0.0138  0.0138 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 3600/4500   0.0422 127.1 0.0295  0.0295  0.0127  0.0127 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 3700/4500   0.0425 145.3 0.0293  0.0293  0.0133  0.0133 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3800/4500   0.0425 184.8 0.0292  0.0292  0.0133  0.0133 0.0000 0.0000   0.0000 0.0000 20.006
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+  stage0 3900/4500   0.0425 141.9 0.0291  0.0291  0.0134  0.0134 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=4000 avg_step=20.0058 target=20 uv_scale=1.00029
+  stage0 4000/4500   0.0425 133.7 0.0291  0.0291  0.0134  0.0134 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 4100/4500   0.0426  91.9 0.0294  0.0294  0.0132  0.0132 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 4200/4500   0.0427 427.7 0.0293  0.0293  0.0134  0.0134 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 4300/4500   0.0428 361.0 0.0293  0.0293  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 4400/4500   0.0428 243.9 0.0292  0.0292  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=4500 avg_step=20.006 target=20 uv_scale=1.0003
+  stage0 4500/4500   0.0427 146.7 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.000
+[optimizer] stage0 'flatten' complete in 1m09.87s
+[optimizer] stage1: params=['map_flatten_ms'] steps=1000 lr=0.001 min_scaledown=0
+[optimizer] stage1: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage1: flatten_edge_step_global_scale=100
+[optimizer] stage1: flatten_diagnostics=0
+[optimizer] stage1: compile_flatten=1 combined=1
+[optimizer] stage1: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage1: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage1: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage1 0/1000   0.0407       0.0292  0.0292  0.0115  0.0115 0.0000 0.0000   0.0000 0.0000 20.000
+     stage1 1/1000   0.0407 216.5 0.0292  0.0292  0.0115  0.0115 0.0000 0.0000   0.0000 0.0000 20.000
+   stage1 100/1000   0.0425 137.4 0.0291  0.0291  0.0134  0.0134 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 200/1000   0.0427 183.4 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 300/1000   0.0427 342.2 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 400/1000   0.0427 340.6 0.0291  0.0291  0.0137  0.0137 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 500/1000   0.0426 230.5 0.0291  0.0291  0.0135  0.0135 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 600/1000   0.0427 144.5 0.0291  0.0291  0.0137  0.0137 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 700/1000   0.0427 147.6 0.0291  0.0291  0.0137  0.0137 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 800/1000   0.0427 174.3 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 900/1000   0.0428 376.7 0.0291  0.0291  0.0137  0.0137 0.0000 0.0000   0.0000 0.0000 20.006
+  stage1 1000/1000   0.0427 386.5 0.0291  0.0291  0.0137  0.0137 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage1 'flatten' complete in 4.99s
+[optimizer] stage2: params=['map_flatten_ms'] steps=1000 lr=0.0001 min_scaledown=0
+[optimizer] stage2: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage2: flatten_edge_step_global_scale=100
+[optimizer] stage2: flatten_diagnostics=0
+[optimizer] stage2: compile_flatten=1 combined=1
+[optimizer] stage2: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage2: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage2: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage2 0/1000   0.0427       0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+     stage2 1/1000   0.0427 226.0 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 100/1000   0.0427 337.0 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 200/1000   0.0427 143.3 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 300/1000   0.0427 154.3 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 400/1000   0.0427 173.6 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 500/1000   0.0427 385.4 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 600/1000   0.0427 386.9 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 700/1000   0.0427 403.7 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 800/1000   0.0426 386.1 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 900/1000   0.0427 285.5 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+  stage2 1000/1000   0.0427 149.3 0.0291  0.0291  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage2 'flatten' complete in 4.48s
+[optimizer] total optimize time: 1m19.34s
+[fit] peak GPU memory: 0.20 GiB
+[fit2tifxyz] area_vx2=10259200
diff --git a/flat/D9/w072_spliced_p8D9/flatten_input.json b/flat/D9/w072_spliced_p8D9/flatten_input.json
new file mode 100644
index 0000000000000000000000000000000000000000..3c8e5a93ffbe2d3a483fdb96d9e805d2dd0b71ea
--- /dev/null
+++ b/flat/D9/w072_spliced_p8D9/flatten_input.json
@@ -0,0 +1 @@
+{"external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w072_spliced_p8D9"}]}
diff --git a/flat/D9/w072_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json b/flat/D9/w072_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..ea5aef3329919cc2ef0fba02ce4b28777048dfcd
--- /dev/null
+++ b/flat/D9/w072_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json
@@ -0,0 +1,164 @@
+{
+  "uuid": "flatten.tifxyz",
+  "name": "flatten.tifxyz",
+  "type": "seg",
+  "format": "tifxyz",
+  "scale": [
+    0.05,
+    0.05
+  ],
+  "bbox": [
+    [
+      1524.660888671875,
+      2661.316162109375,
+      19540.591796875
+    ],
+    [
+      5443.20458984375,
+      4674.7080078125,
+      20539.28515625
+    ]
+  ],
+  "area_vx2": 10259200.0,
+  "model_source": "/workspace/flat/D9/w072_spliced_p8D9/model_final.pt",
+  "fit_config": {
+    "args": {
+      "model-init": "flatten",
+      "flatten_solver": "forward",
+      "flatten_initial_inversion": false,
+      "flatten_output_step": 20.0,
+      "flatten_output_margin": 0.0,
+      "flatten_edge_step_global_scale": 100.0,
+      "input": null,
+      "device": "cuda",
+      "downscale": 4.0,
+      "crop": null,
+      "seed": null,
+      "model-w": null,
+      "model-w-unit": "voxels",
+      "model-h": null,
+      "winding-volume": null,
+      "cuda-gridsample": 1,
+      "erode-valid-mask": 0,
+      "sparse-prefetch-backend": "tensorstore",
+      "corr-point-roi": false,
+      "corr-point-roi-init-margin": 80,
+      "corr-point-roi-output-radius": 20,
+      "mesh-step": 100,
+      "winding-step": 25,
+      "subsample-mesh": 4,
+      "subsample-winding": 4,
+      "depth": 3,
+      "mesh-h": 32,
+      "mesh-w": 32,
+      "init-mode": "cylinder_seed",
+      "z-center": 0.0,
+      "pyramid-d": true,
+      "model-input": null,
+      "model-output": null,
+      "snapshot-interval": 1000,
+      "normal-mask-zero": 0,
+      "out-dir": "/workspace/flat/D9/w072_spliced_p8D9",
+      "tifxyz-init": null,
+      "self-map-init": "off",
+      "flatten-solver": "forward",
+      "approval-inpaint": false,
+      "approval-inpaint-corr-spacing": null,
+      "approval-inpaint-padding-frac": 0.25,
+      "approval-inpaint-output-mask": false,
+      "approval-inpaint-output-mask-dilate": 3,
+      "approval-inpaint-tifxyz": null,
+      "tifxyz-flow-gate-channels": false,
+      "progress": false
+    },
+    "base": {
+      "flatten_sdir": 1.0,
+      "flatten_edge_step": 1.0,
+      "flatten_avg_offset": 1.0,
+      "flatten_orient": 2.0
+    },
+    "stages": [
+      {
+        "name": "flatten",
+        "steps": 4500,
+        "lr": 0.01,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05,
+          "flatten_renorm_interval": 500
+        }
+      },
+      {
+        "name": "flatten",
+        "steps": 1000,
+        "lr": 0.001,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05
+        }
+      },
+      {
+        "name": "flatten",
+        "steps": 1000,
+        "lr": 0.0001,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05
+        }
+      }
+    ],
+    "external_surfaces": [
+      {
+        "path": "/workspace/fit1218D/D9/snap/w072_spliced_p8D9"
+      }
+    ]
+  }
+}
diff --git a/flat/D9/w073_spliced_p8D9.log b/flat/D9/w073_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..ba52dcc1d1f9c7ba94b354c0ac729a86b54d7e68
--- /dev/null
+++ b/flat/D9/w073_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w073_spliced_p8D9 in 172s -> /workspace/flat/D9/w073_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w073_spliced_p8D9/flatten.log b/flat/D9/w073_spliced_p8D9/flatten.log
new file mode 100644
index 0000000000000000000000000000000000000000..733dd92ddabe76b22e197561ce7f076c2706a3f0
--- /dev/null
+++ b/flat/D9/w073_spliced_p8D9/flatten.log
@@ -0,0 +1,142 @@
+[tifxyz_io] loaded w073_spliced_p8D9: 66x365, 18299/24090 valid (76.0%) step_h=25.613 step_w=25.429 step_diag=25.292 step_avg=25.407
+[model] pyramid levels (C=3, pyramid_d=False): 1x66x365 -> 1x33x183 -> 1x17x92 -> 1x9x46 -> 1x5x23
+data: flatten-only (no volume input)
+model: ModelConfig(mesh_step=100, winding_step=25, subsample_mesh=4, subsample_winding=4, depth=3, mesh_h=32, mesh_w=32, init_mode='cylinder_seed', z_center=0.0, pyramid_d=True, model_input=None, model_output=None)
+opt: OptConfig(device='cuda', snapshot_interval=1000, normal_mask_zero=False)
+[fit] model-init=flatten solver=forward source=/workspace/fit1218D/D9/snap/w073_spliced_p8D9 shape=(66, 365, 3) valid=18299/24090 model_shape=66x365 source_step=20 output_step=20 measured_source_step=25.4079 initial_uv_rescale=1
+initial forward flatten (inversion skipped): map_shape=(66, 365, 2) point_valid=18299/24090 quad_valid=17849/23660
+[optimizer] corr_points=False active_corr_terms=[]
+[optimizer] stage0: params=['map_flatten_ms'] steps=4500 lr=0.01 min_scaledown=0
+[optimizer] stage0: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage0: flatten_edge_step_global_scale=100
+[optimizer] stage0: flatten_diagnostics=0
+[optimizer] stage0: compile_flatten=1 combined=1
+[optimizer] stage0: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage0: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage0: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] stage0: flatten_renorm_interval=500
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage0 0/4500   1.4429       1.1148  1.1148  0.3281  0.3281 0.0000 0.0000   0.0000 0.0000 20.000
+     stage0 1/4500   1.4429   0.1 1.1148  1.1148  0.3281  0.3281 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 100/4500   0.3337 106.9 0.2409  0.2409  0.0928  0.0928 0.0000 0.0000   0.0000 0.0000 19.978
+   stage0 200/4500   0.1747 166.7 0.1192  0.1192  0.0555  0.0555 0.0000 0.0000   0.0000 0.0000 19.979
+   stage0 300/4500   0.1027 161.3 0.0695  0.0695  0.0332  0.0332 0.0000 0.0000   0.0000 0.0000 19.985
+   stage0 400/4500   0.0726 154.9 0.0497  0.0497  0.0229  0.0229 0.0000 0.0000   0.0000 0.0000 19.991
+[optimizer] stage0: flatten renorm step=500 avg_step=19.9972 target=20 uv_scale=0.999858
+   stage0 500/4500   0.0596 157.5 0.0416  0.0416  0.0180  0.0180 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 600/4500   0.0519 158.0 0.0364  0.0364  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 700/4500   0.0497 207.4 0.0344  0.0344  0.0153  0.0153 0.0000 0.0000   0.0000 0.0000 20.002
+   stage0 800/4500   0.0501 216.0 0.0337  0.0337  0.0164  0.0164 0.0000 0.0000   0.0000 0.0000 20.005
+   stage0 900/4500   0.0488 189.2 0.0332  0.0332  0.0156  0.0156 0.0000 0.0000   0.0000 0.0000 20.004
+[optimizer] stage0: flatten renorm step=1000 avg_step=20.006 target=20 uv_scale=1.0003
+  stage0 1000/4500   0.0488 173.3 0.0328  0.0328  0.0159  0.0159 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1100/4500   0.0485 150.5 0.0326  0.0326  0.0158  0.0158 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 1200/4500   0.0479 168.0 0.0323  0.0323  0.0157  0.0157 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 1300/4500   0.0477 195.0 0.0321  0.0321  0.0156  0.0156 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 1400/4500   0.0470 170.5 0.0320  0.0320  0.0150  0.0150 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=1500 avg_step=20.006 target=20 uv_scale=1.0003
+  stage0 1500/4500   0.0476 193.7 0.0329  0.0329  0.0147  0.0147 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1600/4500   0.0473 129.9 0.0322  0.0322  0.0151  0.0151 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 1700/4500   0.0473 155.2 0.0319  0.0319  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 1800/4500   0.0472 188.6 0.0318  0.0318  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.007
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+  stage0 1900/4500   0.0470 132.7 0.0316  0.0316  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.007
+[optimizer] stage0: flatten renorm step=2000 avg_step=20.0065 target=20 uv_scale=1.00033
+  stage0 2000/4500   0.0467 142.1 0.0315  0.0315  0.0152  0.0152 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 2100/4500   0.0460  71.2 0.0318  0.0318  0.0142  0.0142 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 2200/4500   0.0463  43.1 0.0315  0.0315  0.0147  0.0147 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2300/4500   0.0463  26.2 0.0315  0.0315  0.0148  0.0148 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2400/4500   0.0462  44.1 0.0314  0.0314  0.0149  0.0149 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=2500 avg_step=20.0064 target=20 uv_scale=1.00032
+  stage0 2500/4500   0.0461  75.4 0.0314  0.0314  0.0147  0.0147 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 2600/4500   0.0460  69.1 0.0317  0.0317  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2700/4500   0.0462  70.2 0.0315  0.0315  0.0148  0.0148 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2800/4500   0.0460  98.5 0.0314  0.0314  0.0146  0.0146 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2900/4500   0.0460 227.1 0.0313  0.0313  0.0147  0.0147 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=3000 avg_step=20.0068 target=20 uv_scale=1.00034
+  stage0 3000/4500   0.0463 156.6 0.0313  0.0313  0.0150  0.0150 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 3100/4500   0.0457 172.5 0.0313  0.0313  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3200/4500   0.0456  86.4 0.0311  0.0311  0.0145  0.0145 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3300/4500   0.0454 183.3 0.0311  0.0311  0.0144  0.0144 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3400/4500   0.0458 195.8 0.0311  0.0311  0.0147  0.0147 0.0000 0.0000   0.0000 0.0000 20.007
+[optimizer] stage0: flatten renorm step=3500 avg_step=20.0061 target=20 uv_scale=1.0003
+  stage0 3500/4500   0.0452 213.3 0.0310  0.0310  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 3600/4500   0.0449 219.8 0.0313  0.0313  0.0136  0.0136 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 3700/4500   0.0453 217.4 0.0311  0.0311  0.0142  0.0142 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3800/4500   0.0454 211.6 0.0310  0.0310  0.0144  0.0144 0.0000 0.0000   0.0000 0.0000 20.006
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+  stage0 3900/4500   0.0454 226.1 0.0310  0.0310  0.0144  0.0144 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=4000 avg_step=20.0063 target=20 uv_scale=1.00031
+  stage0 4000/4500   0.0455 227.1 0.0310  0.0310  0.0145  0.0145 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 4100/4500   0.0458 174.7 0.0313  0.0313  0.0145  0.0145 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 4200/4500   0.0452 211.5 0.0311  0.0311  0.0141  0.0141 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 4300/4500   0.0452 212.8 0.0309  0.0309  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 4400/4500   0.0455 211.9 0.0309  0.0309  0.0145  0.0145 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=4500 avg_step=20.0064 target=20 uv_scale=1.00032
+  stage0 4500/4500   0.0453 220.1 0.0309  0.0309  0.0144  0.0144 0.0000 0.0000   0.0000 0.0000 20.000
+[optimizer] stage0 'flatten' complete in 2m08.19s
+[optimizer] stage1: params=['map_flatten_ms'] steps=1000 lr=0.001 min_scaledown=0
+[optimizer] stage1: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage1: flatten_edge_step_global_scale=100
+[optimizer] stage1: flatten_diagnostics=0
+[optimizer] stage1: compile_flatten=1 combined=1
+[optimizer] stage1: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage1: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage1: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage1 0/1000   0.0432       0.0310  0.0310  0.0122  0.0122 0.0000 0.0000   0.0000 0.0000 20.000
+     stage1 1/1000   0.0432 103.3 0.0310  0.0310  0.0122  0.0122 0.0000 0.0000   0.0000 0.0000 20.000
+   stage1 100/1000   0.0451 158.3 0.0308  0.0308  0.0142  0.0142 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 200/1000   0.0452 158.8 0.0308  0.0308  0.0144  0.0144 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 300/1000   0.0453 167.5 0.0308  0.0308  0.0145  0.0145 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 400/1000   0.0452 164.2 0.0308  0.0308  0.0144  0.0144 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 500/1000   0.0452 167.5 0.0308  0.0308  0.0144  0.0144 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 600/1000   0.0452 167.6 0.0308  0.0308  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 700/1000   0.0452 225.1 0.0308  0.0308  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 800/1000   0.0453 208.0 0.0308  0.0308  0.0145  0.0145 0.0000 0.0000   0.0000 0.0000 20.006
+   stage1 900/1000   0.0450 212.0 0.0308  0.0308  0.0142  0.0142 0.0000 0.0000   0.0000 0.0000 20.006
+  stage1 1000/1000   0.0453 232.9 0.0308  0.0308  0.0145  0.0145 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage1 'flatten' complete in 5.72s
+[optimizer] stage2: params=['map_flatten_ms'] steps=1000 lr=0.0001 min_scaledown=0
+[optimizer] stage2: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage2: flatten_edge_step_global_scale=100
+[optimizer] stage2: flatten_diagnostics=0
+[optimizer] stage2: compile_flatten=1 combined=1
+[optimizer] stage2: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage2: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage2: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage2 0/1000   0.0453       0.0308  0.0308  0.0145  0.0145 0.0000 0.0000   0.0000 0.0000 20.006
+     stage2 1/1000   0.0453 121.7 0.0308  0.0308  0.0145  0.0145 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 100/1000   0.0452 221.2 0.0308  0.0308  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 200/1000   0.0452 201.5 0.0308  0.0308  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 300/1000   0.0452 241.1 0.0308  0.0308  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 400/1000   0.0452 237.6 0.0308  0.0308  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 500/1000   0.0452 240.0 0.0308  0.0308  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 600/1000   0.0452 232.3 0.0308  0.0308  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 700/1000   0.0452 252.0 0.0308  0.0308  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 800/1000   0.0452 231.3 0.0308  0.0308  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+   stage2 900/1000   0.0452 205.0 0.0308  0.0308  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+  stage2 1000/1000   0.0451 205.6 0.0308  0.0308  0.0143  0.0143 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage2 'flatten' complete in 4.68s
+[optimizer] total optimize time: 2m18.59s
+[fit] peak GPU memory: 0.20 GiB
+[fit2tifxyz] area_vx2=10492000
diff --git a/flat/D9/w073_spliced_p8D9/flatten_input.json b/flat/D9/w073_spliced_p8D9/flatten_input.json
new file mode 100644
index 0000000000000000000000000000000000000000..5b95fd794cc9b21cce31dd0ad3a773f3b514f002
--- /dev/null
+++ b/flat/D9/w073_spliced_p8D9/flatten_input.json
@@ -0,0 +1 @@
+{"external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w073_spliced_p8D9"}]}
diff --git a/flat/D9/w073_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json b/flat/D9/w073_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..812cbf290034b7a7ccc3a9dea0bfe095470cf23f
--- /dev/null
+++ b/flat/D9/w073_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json
@@ -0,0 +1,164 @@
+{
+  "uuid": "flatten.tifxyz",
+  "name": "flatten.tifxyz",
+  "type": "seg",
+  "format": "tifxyz",
+  "scale": [
+    0.05,
+    0.05
+  ],
+  "bbox": [
+    [
+      1489.180908203125,
+      2643.801025390625,
+      19540.55859375
+    ],
+    [
+      5491.771484375,
+      4691.18310546875,
+      20539.5078125
+    ]
+  ],
+  "area_vx2": 10492000.0,
+  "model_source": "/workspace/flat/D9/w073_spliced_p8D9/model_final.pt",
+  "fit_config": {
+    "args": {
+      "model-init": "flatten",
+      "flatten_solver": "forward",
+      "flatten_initial_inversion": false,
+      "flatten_output_step": 20.0,
+      "flatten_output_margin": 0.0,
+      "flatten_edge_step_global_scale": 100.0,
+      "input": null,
+      "device": "cuda",
+      "downscale": 4.0,
+      "crop": null,
+      "seed": null,
+      "model-w": null,
+      "model-w-unit": "voxels",
+      "model-h": null,
+      "winding-volume": null,
+      "cuda-gridsample": 1,
+      "erode-valid-mask": 0,
+      "sparse-prefetch-backend": "tensorstore",
+      "corr-point-roi": false,
+      "corr-point-roi-init-margin": 80,
+      "corr-point-roi-output-radius": 20,
+      "mesh-step": 100,
+      "winding-step": 25,
+      "subsample-mesh": 4,
+      "subsample-winding": 4,
+      "depth": 3,
+      "mesh-h": 32,
+      "mesh-w": 32,
+      "init-mode": "cylinder_seed",
+      "z-center": 0.0,
+      "pyramid-d": true,
+      "model-input": null,
+      "model-output": null,
+      "snapshot-interval": 1000,
+      "normal-mask-zero": 0,
+      "out-dir": "/workspace/flat/D9/w073_spliced_p8D9",
+      "tifxyz-init": null,
+      "self-map-init": "off",
+      "flatten-solver": "forward",
+      "approval-inpaint": false,
+      "approval-inpaint-corr-spacing": null,
+      "approval-inpaint-padding-frac": 0.25,
+      "approval-inpaint-output-mask": false,
+      "approval-inpaint-output-mask-dilate": 3,
+      "approval-inpaint-tifxyz": null,
+      "tifxyz-flow-gate-channels": false,
+      "progress": false
+    },
+    "base": {
+      "flatten_sdir": 1.0,
+      "flatten_edge_step": 1.0,
+      "flatten_avg_offset": 1.0,
+      "flatten_orient": 2.0
+    },
+    "stages": [
+      {
+        "name": "flatten",
+        "steps": 4500,
+        "lr": 0.01,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05,
+          "flatten_renorm_interval": 500
+        }
+      },
+      {
+        "name": "flatten",
+        "steps": 1000,
+        "lr": 0.001,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05
+        }
+      },
+      {
+        "name": "flatten",
+        "steps": 1000,
+        "lr": 0.0001,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05
+        }
+      }
+    ],
+    "external_surfaces": [
+      {
+        "path": "/workspace/fit1218D/D9/snap/w073_spliced_p8D9"
+      }
+    ]
+  }
+}
diff --git a/flat/D9/w074_spliced_p8D9.log b/flat/D9/w074_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..a224f5f8ec1abf51c6cf45a9c18b68b2f8468ff1
--- /dev/null
+++ b/flat/D9/w074_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w074_spliced_p8D9 in 195s -> /workspace/flat/D9/w074_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w074_spliced_p8D9/flatten.log b/flat/D9/w074_spliced_p8D9/flatten.log
new file mode 100644
index 0000000000000000000000000000000000000000..107af546cccc7c6a473ab88fa38cf2f977ca0b13
--- /dev/null
+++ b/flat/D9/w074_spliced_p8D9/flatten.log
@@ -0,0 +1,142 @@
+[tifxyz_io] loaded w074_spliced_p8D9: 66x370, 18562/24420 valid (76.0%) step_h=25.678 step_w=25.517 step_diag=25.365 step_avg=25.481
+[model] pyramid levels (C=3, pyramid_d=False): 1x66x370 -> 1x33x185 -> 1x17x93 -> 1x9x47 -> 1x5x24
+data: flatten-only (no volume input)
+model: ModelConfig(mesh_step=100, winding_step=25, subsample_mesh=4, subsample_winding=4, depth=3, mesh_h=32, mesh_w=32, init_mode='cylinder_seed', z_center=0.0, pyramid_d=True, model_input=None, model_output=None)
+opt: OptConfig(device='cuda', snapshot_interval=1000, normal_mask_zero=False)
+[fit] model-init=flatten solver=forward source=/workspace/fit1218D/D9/snap/w074_spliced_p8D9 shape=(66, 370, 3) valid=18562/24420 model_shape=66x370 source_step=20 output_step=20 measured_source_step=25.4838 initial_uv_rescale=1
+initial forward flatten (inversion skipped): map_shape=(66, 370, 2) point_valid=18562/24420 quad_valid=18103/23985
+[optimizer] corr_points=False active_corr_terms=[]
+[optimizer] stage0: params=['map_flatten_ms'] steps=4500 lr=0.01 min_scaledown=0
+[optimizer] stage0: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage0: flatten_edge_step_global_scale=100
+[optimizer] stage0: flatten_diagnostics=0
+[optimizer] stage0: compile_flatten=1 combined=1
+[optimizer] stage0: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage0: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage0: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] stage0: flatten_renorm_interval=500
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage0 0/4500   1.4655       1.1305  1.1305  0.3350  0.3350 0.0000 0.0000   0.0000 0.0000 20.000
+     stage0 1/4500   1.4655   0.0 1.1305  1.1305  0.3350  0.3350 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 100/4500   0.3437  79.6 0.2477  0.2477  0.0960  0.0960 0.0000 0.0000   0.0000 0.0000 19.979
+   stage0 200/4500   0.1850 104.5 0.1251  0.1251  0.0599  0.0599 0.0000 0.0000   0.0000 0.0000 19.979
+   stage0 300/4500   0.1122 118.9 0.0742  0.0742  0.0380  0.0380 0.0000 0.0000   0.0000 0.0000 19.985
+   stage0 400/4500   0.0785  92.9 0.0524  0.0524  0.0261  0.0261 0.0000 0.0000   0.0000 0.0000 19.993
+[optimizer] stage0: flatten renorm step=500 avg_step=19.9961 target=20 uv_scale=0.999807
+   stage0 500/4500   0.0651  91.1 0.0433  0.0433  0.0218  0.0218 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 600/4500   0.0534 126.0 0.0368  0.0368  0.0166  0.0166 0.0000 0.0000   0.0000 0.0000 19.998
+   stage0 700/4500   0.0502  91.1 0.0347  0.0347  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.001
+   stage0 800/4500   0.0490  99.8 0.0338  0.0338  0.0153  0.0153 0.0000 0.0000   0.0000 0.0000 20.003
+   stage0 900/4500   0.0488 121.7 0.0331  0.0331  0.0157  0.0157 0.0000 0.0000   0.0000 0.0000 20.005
+[optimizer] stage0: flatten renorm step=1000 avg_step=20.0034 target=20 uv_scale=1.00017
+  stage0 1000/4500   0.0490  90.7 0.0327  0.0327  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1100/4500   0.0484 101.0 0.0325  0.0325  0.0160  0.0160 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 1200/4500   0.0476 100.3 0.0322  0.0322  0.0153  0.0153 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 1300/4500   0.0479  91.9 0.0321  0.0321  0.0158  0.0158 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 1400/4500   0.0475  98.9 0.0319  0.0319  0.0156  0.0156 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=1500 avg_step=20.0025 target=20 uv_scale=1.00013
+  stage0 1500/4500   0.0457 143.3 0.0319  0.0319  0.0138  0.0138 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1600/4500   0.0477 125.0 0.0320  0.0320  0.0157  0.0157 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 1700/4500   0.0476 125.3 0.0318  0.0318  0.0158  0.0158 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 1800/4500   0.0478 136.6 0.0318  0.0318  0.0160  0.0160 0.0000 0.0000   0.0000 0.0000 20.006
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+  stage0 1900/4500   0.0482 141.2 0.0318  0.0318  0.0164  0.0164 0.0000 0.0000   0.0000 0.0000 20.007
+[optimizer] stage0: flatten renorm step=2000 avg_step=20.007 target=20 uv_scale=1.00035
+  stage0 2000/4500   0.0481 142.1 0.0318  0.0318  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 2100/4500   0.0481 132.0 0.0320  0.0320  0.0161  0.0161 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2200/4500   0.0485 166.6 0.0319  0.0319  0.0166  0.0166 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 2300/4500   0.0486 171.4 0.0318  0.0318  0.0168  0.0168 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 2400/4500   0.0475 165.3 0.0318  0.0318  0.0157  0.0157 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=2500 avg_step=20.0083 target=20 uv_scale=1.00041
+  stage0 2500/4500   0.0481 162.4 0.0317  0.0317  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 2600/4500   0.0476  72.5 0.0320  0.0320  0.0156  0.0156 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2700/4500   0.0477  71.0 0.0318  0.0318  0.0159  0.0159 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2800/4500   0.0472 200.0 0.0317  0.0317  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2900/4500   0.0483 158.9 0.0318  0.0318  0.0165  0.0165 0.0000 0.0000   0.0000 0.0000 20.007
+[optimizer] stage0: flatten renorm step=3000 avg_step=20.0075 target=20 uv_scale=1.00038
+  stage0 3000/4500   0.0484 148.6 0.0317  0.0317  0.0166  0.0166 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 3100/4500   0.0476 120.7 0.0320  0.0320  0.0156  0.0156 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3200/4500   0.0476 191.9 0.0318  0.0318  0.0158  0.0158 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3300/4500   0.0479 117.0 0.0318  0.0318  0.0162  0.0162 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 3400/4500   0.0476 119.5 0.0318  0.0318  0.0159  0.0159 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=3500 avg_step=20.0067 target=20 uv_scale=1.00033
+  stage0 3500/4500   0.0481  85.3 0.0317  0.0317  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 3600/4500   0.0479  57.1 0.0320  0.0320  0.0159  0.0159 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3700/4500   0.0479  55.9 0.0319  0.0319  0.0160  0.0160 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3800/4500   0.0474  46.7 0.0318  0.0318  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.006
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+  stage0 3900/4500   0.0488  36.7 0.0318  0.0318  0.0170  0.0170 0.0000 0.0000   0.0000 0.0000 20.008
+[optimizer] stage0: flatten renorm step=4000 avg_step=20.0067 target=20 uv_scale=1.00034
+  stage0 4000/4500   0.0480  54.5 0.0317  0.0317  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 4100/4500   0.0481  53.4 0.0319  0.0319  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 4200/4500   0.0477 102.3 0.0317  0.0317  0.0160  0.0160 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 4300/4500   0.0476 124.8 0.0318  0.0318  0.0158  0.0158 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 4400/4500   0.0470 126.1 0.0317  0.0317  0.0153  0.0153 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=4500 avg_step=20.0074 target=20 uv_scale=1.00037
+  stage0 4500/4500   0.0481 158.4 0.0317  0.0317  0.0164  0.0164 0.0000 0.0000   0.0000 0.0000 20.000
+[optimizer] stage0 'flatten' complete in 2m25.47s
+[optimizer] stage1: params=['map_flatten_ms'] steps=1000 lr=0.001 min_scaledown=0
+[optimizer] stage1: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage1: flatten_edge_step_global_scale=100
+[optimizer] stage1: flatten_diagnostics=0
+[optimizer] stage1: compile_flatten=1 combined=1
+[optimizer] stage1: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage1: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage1: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage1 0/1000   0.0454       0.0317  0.0317  0.0137  0.0137 0.0000 0.0000   0.0000 0.0000 20.000
+     stage1 1/1000   0.0454  14.9 0.0317  0.0317  0.0137  0.0137 0.0000 0.0000   0.0000 0.0000 20.000
+   stage1 100/1000   0.0478  54.9 0.0316  0.0316  0.0162  0.0162 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 200/1000   0.0481 107.2 0.0316  0.0316  0.0165  0.0165 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 300/1000   0.0478 133.4 0.0316  0.0316  0.0162  0.0162 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 400/1000   0.0479 202.5 0.0316  0.0316  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 500/1000   0.0481 265.2 0.0316  0.0316  0.0165  0.0165 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 600/1000   0.0479 138.3 0.0316  0.0316  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 700/1000   0.0479 155.5 0.0316  0.0316  0.0162  0.0162 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 800/1000   0.0480 114.1 0.0316  0.0316  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 900/1000   0.0480 105.0 0.0316  0.0316  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.007
+  stage1 1000/1000   0.0478 153.3 0.0316  0.0316  0.0161  0.0161 0.0000 0.0000   0.0000 0.0000 20.007
+[optimizer] stage1 'flatten' complete in 8.72s
+[optimizer] stage2: params=['map_flatten_ms'] steps=1000 lr=0.0001 min_scaledown=0
+[optimizer] stage2: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage2: flatten_edge_step_global_scale=100
+[optimizer] stage2: flatten_diagnostics=0
+[optimizer] stage2: compile_flatten=1 combined=1
+[optimizer] stage2: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage2: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage2: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage2 0/1000   0.0478       0.0316  0.0316  0.0162  0.0162 0.0000 0.0000   0.0000 0.0000 20.007
+     stage2 1/1000   0.0478  25.7 0.0316  0.0316  0.0162  0.0162 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 100/1000   0.0479 137.6 0.0316  0.0316  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 200/1000   0.0480 145.2 0.0316  0.0316  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 300/1000   0.0480 197.1 0.0316  0.0316  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 400/1000   0.0479 172.0 0.0316  0.0316  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 500/1000   0.0480 224.2 0.0316  0.0316  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 600/1000   0.0480 177.5 0.0316  0.0316  0.0164  0.0164 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 700/1000   0.0480 183.4 0.0316  0.0316  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 800/1000   0.0479 151.8 0.0316  0.0316  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 900/1000   0.0480 101.0 0.0316  0.0316  0.0163  0.0163 0.0000 0.0000   0.0000 0.0000 20.007
+  stage2 1000/1000   0.0480 117.3 0.0316  0.0316  0.0164  0.0164 0.0000 0.0000   0.0000 0.0000 20.007
+[optimizer] stage2 'flatten' complete in 6.99s
+[optimizer] total optimize time: 2m41.17s
+[fit] peak GPU memory: 0.21 GiB
+[fit2tifxyz] area_vx2=10713200
diff --git a/flat/D9/w074_spliced_p8D9/flatten_input.json b/flat/D9/w074_spliced_p8D9/flatten_input.json
new file mode 100644
index 0000000000000000000000000000000000000000..662d75ba6b3748d8248ee784db610292883632ea
--- /dev/null
+++ b/flat/D9/w074_spliced_p8D9/flatten_input.json
@@ -0,0 +1 @@
+{"external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w074_spliced_p8D9"}]}
diff --git a/flat/D9/w074_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json b/flat/D9/w074_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..ec30c9728db07395d99dc7d5e1d9ef9257463792
--- /dev/null
+++ b/flat/D9/w074_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json
@@ -0,0 +1,164 @@
+{
+  "uuid": "flatten.tifxyz",
+  "name": "flatten.tifxyz",
+  "type": "seg",
+  "format": "tifxyz",
+  "scale": [
+    0.05,
+    0.05
+  ],
+  "bbox": [
+    [
+      1447.812255859375,
+      2631.49462890625,
+      19540.962890625
+    ],
+    [
+      5516.79345703125,
+      4710.54052734375,
+      20544.66796875
+    ]
+  ],
+  "area_vx2": 10713200.0,
+  "model_source": "/workspace/flat/D9/w074_spliced_p8D9/model_final.pt",
+  "fit_config": {
+    "args": {
+      "model-init": "flatten",
+      "flatten_solver": "forward",
+      "flatten_initial_inversion": false,
+      "flatten_output_step": 20.0,
+      "flatten_output_margin": 0.0,
+      "flatten_edge_step_global_scale": 100.0,
+      "input": null,
+      "device": "cuda",
+      "downscale": 4.0,
+      "crop": null,
+      "seed": null,
+      "model-w": null,
+      "model-w-unit": "voxels",
+      "model-h": null,
+      "winding-volume": null,
+      "cuda-gridsample": 1,
+      "erode-valid-mask": 0,
+      "sparse-prefetch-backend": "tensorstore",
+      "corr-point-roi": false,
+      "corr-point-roi-init-margin": 80,
+      "corr-point-roi-output-radius": 20,
+      "mesh-step": 100,
+      "winding-step": 25,
+      "subsample-mesh": 4,
+      "subsample-winding": 4,
+      "depth": 3,
+      "mesh-h": 32,
+      "mesh-w": 32,
+      "init-mode": "cylinder_seed",
+      "z-center": 0.0,
+      "pyramid-d": true,
+      "model-input": null,
+      "model-output": null,
+      "snapshot-interval": 1000,
+      "normal-mask-zero": 0,
+      "out-dir": "/workspace/flat/D9/w074_spliced_p8D9",
+      "tifxyz-init": null,
+      "self-map-init": "off",
+      "flatten-solver": "forward",
+      "approval-inpaint": false,
+      "approval-inpaint-corr-spacing": null,
+      "approval-inpaint-padding-frac": 0.25,
+      "approval-inpaint-output-mask": false,
+      "approval-inpaint-output-mask-dilate": 3,
+      "approval-inpaint-tifxyz": null,
+      "tifxyz-flow-gate-channels": false,
+      "progress": false
+    },
+    "base": {
+      "flatten_sdir": 1.0,
+      "flatten_edge_step": 1.0,
+      "flatten_avg_offset": 1.0,
+      "flatten_orient": 2.0
+    },
+    "stages": [
+      {
+        "name": "flatten",
+        "steps": 4500,
+        "lr": 0.01,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05,
+          "flatten_renorm_interval": 500
+        }
+      },
+      {
+        "name": "flatten",
+        "steps": 1000,
+        "lr": 0.001,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05
+        }
+      },
+      {
+        "name": "flatten",
+        "steps": 1000,
+        "lr": 0.0001,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05
+        }
+      }
+    ],
+    "external_surfaces": [
+      {
+        "path": "/workspace/fit1218D/D9/snap/w074_spliced_p8D9"
+      }
+    ]
+  }
+}
diff --git a/flat/D9/w075_spliced_p8D9.log b/flat/D9/w075_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..18ed13b4cb06511a8ce236f6c882d3730d31c2aa
--- /dev/null
+++ b/flat/D9/w075_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w075_spliced_p8D9 in 145s -> /workspace/flat/D9/w075_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w075_spliced_p8D9/flatten.log b/flat/D9/w075_spliced_p8D9/flatten.log
new file mode 100644
index 0000000000000000000000000000000000000000..00ea000e4eb5673530e1ef485067288ee00be1dd
--- /dev/null
+++ b/flat/D9/w075_spliced_p8D9/flatten.log
@@ -0,0 +1,142 @@
+[tifxyz_io] loaded w075_spliced_p8D9: 66x375, 18801/24750 valid (76.0%) step_h=25.709 step_w=25.589 step_diag=25.415 step_avg=25.532
+[model] pyramid levels (C=3, pyramid_d=False): 1x66x375 -> 1x33x188 -> 1x17x94 -> 1x9x47 -> 1x5x24
+data: flatten-only (no volume input)
+model: ModelConfig(mesh_step=100, winding_step=25, subsample_mesh=4, subsample_winding=4, depth=3, mesh_h=32, mesh_w=32, init_mode='cylinder_seed', z_center=0.0, pyramid_d=True, model_input=None, model_output=None)
+opt: OptConfig(device='cuda', snapshot_interval=1000, normal_mask_zero=False)
+[fit] model-init=flatten solver=forward source=/workspace/fit1218D/D9/snap/w075_spliced_p8D9 shape=(66, 375, 3) valid=18801/24750 model_shape=66x375 source_step=20 output_step=20 measured_source_step=25.5329 initial_uv_rescale=1
+initial forward flatten (inversion skipped): map_shape=(66, 375, 2) point_valid=18801/24750 quad_valid=18342/24310
+[optimizer] corr_points=False active_corr_terms=[]
+[optimizer] stage0: params=['map_flatten_ms'] steps=4500 lr=0.01 min_scaledown=0
+[optimizer] stage0: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage0: flatten_edge_step_global_scale=100
+[optimizer] stage0: flatten_diagnostics=0
+[optimizer] stage0: compile_flatten=1 combined=1
+[optimizer] stage0: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage0: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage0: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] stage0: flatten_renorm_interval=500
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage0 0/4500   1.4790       1.1379  1.1379  0.3412  0.3412 0.0000 0.0000   0.0000 0.0000 20.000
+     stage0 1/4500   1.4790   0.1 1.1379  1.1379  0.3412  0.3412 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 100/4500   0.3481 233.0 0.2512  0.2512  0.0969  0.0969 0.0000 0.0000   0.0000 0.0000 19.978
+   stage0 200/4500   0.1897 235.2 0.1270  0.1270  0.0606  0.0606 0.0000 0.0000   0.0011 0.0021 19.978
+   stage0 300/4500   0.1145 194.9 0.0760  0.0760  0.0385  0.0385 0.0000 0.0000   0.0000 0.0000 19.984
+   stage0 400/4500   0.0825 118.3 0.0548  0.0548  0.0277  0.0277 0.0000 0.0000   0.0000 0.0000 19.989
+[optimizer] stage0: flatten renorm step=500 avg_step=19.9941 target=20 uv_scale=0.999706
+   stage0 500/4500   0.0670 153.3 0.0448  0.0448  0.0222  0.0222 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 600/4500   0.0548 185.0 0.0375  0.0375  0.0173  0.0173 0.0000 0.0000   0.0000 0.0000 19.997
+   stage0 700/4500   0.0508 135.2 0.0350  0.0350  0.0158  0.0158 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 800/4500   0.0488 210.8 0.0334  0.0334  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.002
+   stage0 900/4500   0.0482 160.4 0.0327  0.0327  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.003
+[optimizer] stage0: flatten renorm step=1000 avg_step=20.0046 target=20 uv_scale=1.00023
+  stage0 1000/4500   0.0484 139.1 0.0323  0.0323  0.0161  0.0161 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1100/4500   0.0470  56.0 0.0318  0.0318  0.0152  0.0152 0.0000 0.0000   0.0000 0.0000 20.004
+  stage0 1200/4500   0.0467 105.9 0.0315  0.0315  0.0153  0.0153 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 1300/4500   0.0466 130.0 0.0313  0.0313  0.0153  0.0153 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 1400/4500   0.0465 152.6 0.0311  0.0311  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=1500 avg_step=20.0059 target=20 uv_scale=1.0003
+  stage0 1500/4500   0.0466 107.2 0.0311  0.0311  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1600/4500   0.0469 164.3 0.0312  0.0312  0.0157  0.0157 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 1700/4500   0.0463 124.8 0.0309  0.0309  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 1800/4500   0.0463 156.5 0.0308  0.0308  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.006
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+  stage0 1900/4500   0.0462 150.6 0.0307  0.0307  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=2000 avg_step=20.0064 target=20 uv_scale=1.00032
+  stage0 2000/4500   0.0463 159.0 0.0307  0.0307  0.0156  0.0156 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 2100/4500   0.0462 168.4 0.0309  0.0309  0.0153  0.0153 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2200/4500   0.0461 195.8 0.0306  0.0306  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2300/4500   0.0460 217.1 0.0305  0.0305  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2400/4500   0.0458 202.2 0.0304  0.0304  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=2500 avg_step=20.0065 target=20 uv_scale=1.00032
+  stage0 2500/4500   0.0457 192.4 0.0303  0.0303  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 2600/4500   0.0464 217.7 0.0306  0.0306  0.0158  0.0158 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 2700/4500   0.0456 149.1 0.0304  0.0304  0.0152  0.0152 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2800/4500   0.0456  94.3 0.0303  0.0303  0.0153  0.0153 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2900/4500   0.0456  73.0 0.0303  0.0303  0.0153  0.0153 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=3000 avg_step=20.0065 target=20 uv_scale=1.00032
+  stage0 3000/4500   0.0457  58.6 0.0303  0.0303  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 3100/4500   0.0464  99.4 0.0305  0.0305  0.0159  0.0159 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 3200/4500   0.0464 171.9 0.0304  0.0304  0.0160  0.0160 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 3300/4500   0.0457 224.4 0.0303  0.0303  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 3400/4500   0.0457 173.9 0.0303  0.0303  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+[optimizer] stage0: flatten renorm step=3500 avg_step=20.0077 target=20 uv_scale=1.00039
+  stage0 3500/4500   0.0457 218.8 0.0303  0.0303  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 3600/4500   0.0466 195.2 0.0306  0.0306  0.0160  0.0160 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 3700/4500   0.0474 229.5 0.0305  0.0305  0.0169  0.0169 0.0000 0.0000   0.0000 0.0000 20.008
+  stage0 3800/4500   0.0447 182.4 0.0303  0.0303  0.0144  0.0144 0.0000 0.0000   0.0000 0.0000 20.005
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+  stage0 3900/4500   0.0443 200.6 0.0303  0.0303  0.0141  0.0141 0.0000 0.0000   0.0000 0.0000 20.005
+[optimizer] stage0: flatten renorm step=4000 avg_step=20.003 target=20 uv_scale=1.00015
+  stage0 4000/4500   0.0457 144.3 0.0303  0.0303  0.0153  0.0153 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 4100/4500   0.0454 155.1 0.0304  0.0304  0.0150  0.0150 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 4200/4500   0.0455 214.9 0.0303  0.0303  0.0152  0.0152 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 4300/4500   0.0456 171.8 0.0303  0.0303  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 4400/4500   0.0459 204.9 0.0303  0.0303  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+[optimizer] stage0: flatten renorm step=4500 avg_step=20.0075 target=20 uv_scale=1.00037
+  stage0 4500/4500   0.0464 203.3 0.0304  0.0304  0.0160  0.0160 0.0000 0.0000   0.0000 0.0000 20.000
+[optimizer] stage0 'flatten' complete in 1m52.15s
+[optimizer] stage1: params=['map_flatten_ms'] steps=1000 lr=0.001 min_scaledown=0
+[optimizer] stage1: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage1: flatten_edge_step_global_scale=100
+[optimizer] stage1: flatten_diagnostics=0
+[optimizer] stage1: compile_flatten=1 combined=1
+[optimizer] stage1: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage1: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage1: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage1 0/1000   0.0434       0.0305  0.0305  0.0130  0.0130 0.0000 0.0000   0.0000 0.0000 20.000
+     stage1 1/1000   0.0434  88.7 0.0305  0.0305  0.0130  0.0130 0.0000 0.0000   0.0000 0.0000 20.000
+   stage1 100/1000   0.0457 160.1 0.0302  0.0302  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 200/1000   0.0458 158.7 0.0303  0.0303  0.0156  0.0156 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 300/1000   0.0458 183.2 0.0303  0.0303  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 400/1000   0.0457 153.2 0.0303  0.0303  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 500/1000   0.0456 200.4 0.0302  0.0302  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 600/1000   0.0455 200.5 0.0303  0.0303  0.0153  0.0153 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 700/1000   0.0459 210.7 0.0302  0.0302  0.0157  0.0157 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 800/1000   0.0457 156.2 0.0302  0.0302  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 900/1000   0.0456 217.1 0.0302  0.0302  0.0154  0.0154 0.0000 0.0000   0.0000 0.0000 20.007
+  stage1 1000/1000   0.0459 193.6 0.0302  0.0302  0.0156  0.0156 0.0000 0.0000   0.0000 0.0000 20.007
+[optimizer] stage1 'flatten' complete in 5.79s
+[optimizer] stage2: params=['map_flatten_ms'] steps=1000 lr=0.0001 min_scaledown=0
+[optimizer] stage2: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage2: flatten_edge_step_global_scale=100
+[optimizer] stage2: flatten_diagnostics=0
+[optimizer] stage2: compile_flatten=1 combined=1
+[optimizer] stage2: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage2: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage2: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage2 0/1000   0.0458       0.0302  0.0302  0.0156  0.0156 0.0000 0.0000   0.0000 0.0000 20.007
+     stage2 1/1000   0.0458  77.2 0.0302  0.0302  0.0156  0.0156 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 100/1000   0.0458 203.8 0.0302  0.0302  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 200/1000   0.0458 244.2 0.0302  0.0302  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 300/1000   0.0458 219.9 0.0302  0.0302  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 400/1000   0.0458 221.1 0.0302  0.0302  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 500/1000   0.0458 198.6 0.0302  0.0302  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 600/1000   0.0458 202.6 0.0302  0.0302  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 700/1000   0.0458 196.3 0.0302  0.0302  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 800/1000   0.0457 208.4 0.0302  0.0302  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+   stage2 900/1000   0.0458 216.9 0.0302  0.0302  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+  stage2 1000/1000   0.0458 192.3 0.0302  0.0302  0.0155  0.0155 0.0000 0.0000   0.0000 0.0000 20.007
+[optimizer] stage2 'flatten' complete in 5.08s
+[optimizer] total optimize time: 2m03.02s
+[fit] peak GPU memory: 0.21 GiB
+[fit2tifxyz] area_vx2=10903200
diff --git a/flat/D9/w075_spliced_p8D9/flatten_input.json b/flat/D9/w075_spliced_p8D9/flatten_input.json
new file mode 100644
index 0000000000000000000000000000000000000000..7356f18065f06bcc4bda805375cc0e4828b5daa2
--- /dev/null
+++ b/flat/D9/w075_spliced_p8D9/flatten_input.json
@@ -0,0 +1 @@
+{"external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w075_spliced_p8D9"}]}
diff --git a/flat/D9/w075_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json b/flat/D9/w075_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..0b3a7db4a017cca73b6f0f543c64ccfccba8ca2a
--- /dev/null
+++ b/flat/D9/w075_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json
@@ -0,0 +1,164 @@
+{
+  "uuid": "flatten.tifxyz",
+  "name": "flatten.tifxyz",
+  "type": "seg",
+  "format": "tifxyz",
+  "scale": [
+    0.05,
+    0.05
+  ],
+  "bbox": [
+    [
+      1404.80419921875,
+      2625.2021484375,
+      19539.82421875
+    ],
+    [
+      5545.638671875,
+      4729.310546875,
+      20540.462890625
+    ]
+  ],
+  "area_vx2": 10903200.0,
+  "model_source": "/workspace/flat/D9/w075_spliced_p8D9/model_final.pt",
+  "fit_config": {
+    "args": {
+      "model-init": "flatten",
+      "flatten_solver": "forward",
+      "flatten_initial_inversion": false,
+      "flatten_output_step": 20.0,
+      "flatten_output_margin": 0.0,
+      "flatten_edge_step_global_scale": 100.0,
+      "input": null,
+      "device": "cuda",
+      "downscale": 4.0,
+      "crop": null,
+      "seed": null,
+      "model-w": null,
+      "model-w-unit": "voxels",
+      "model-h": null,
+      "winding-volume": null,
+      "cuda-gridsample": 1,
+      "erode-valid-mask": 0,
+      "sparse-prefetch-backend": "tensorstore",
+      "corr-point-roi": false,
+      "corr-point-roi-init-margin": 80,
+      "corr-point-roi-output-radius": 20,
+      "mesh-step": 100,
+      "winding-step": 25,
+      "subsample-mesh": 4,
+      "subsample-winding": 4,
+      "depth": 3,
+      "mesh-h": 32,
+      "mesh-w": 32,
+      "init-mode": "cylinder_seed",
+      "z-center": 0.0,
+      "pyramid-d": true,
+      "model-input": null,
+      "model-output": null,
+      "snapshot-interval": 1000,
+      "normal-mask-zero": 0,
+      "out-dir": "/workspace/flat/D9/w075_spliced_p8D9",
+      "tifxyz-init": null,
+      "self-map-init": "off",
+      "flatten-solver": "forward",
+      "approval-inpaint": false,
+      "approval-inpaint-corr-spacing": null,
+      "approval-inpaint-padding-frac": 0.25,
+      "approval-inpaint-output-mask": false,
+      "approval-inpaint-output-mask-dilate": 3,
+      "approval-inpaint-tifxyz": null,
+      "tifxyz-flow-gate-channels": false,
+      "progress": false
+    },
+    "base": {
+      "flatten_sdir": 1.0,
+      "flatten_edge_step": 1.0,
+      "flatten_avg_offset": 1.0,
+      "flatten_orient": 2.0
+    },
+    "stages": [
+      {
+        "name": "flatten",
+        "steps": 4500,
+        "lr": 0.01,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05,
+          "flatten_renorm_interval": 500
+        }
+      },
+      {
+        "name": "flatten",
+        "steps": 1000,
+        "lr": 0.001,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05
+        }
+      },
+      {
+        "name": "flatten",
+        "steps": 1000,
+        "lr": 0.0001,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05
+        }
+      }
+    ],
+    "external_surfaces": [
+      {
+        "path": "/workspace/fit1218D/D9/snap/w075_spliced_p8D9"
+      }
+    ]
+  }
+}
diff --git a/flat/D9/w076_spliced_p8D9.log b/flat/D9/w076_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..b75cc56f7c62f1d46252f7b3fb1f8046af97ae56
--- /dev/null
+++ b/flat/D9/w076_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w076_spliced_p8D9 in 63s -> /workspace/flat/D9/w076_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w077_spliced_p8D9.log b/flat/D9/w077_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..48d24ae06e874dba02f9dcbf3c38844e519d54df
--- /dev/null
+++ b/flat/D9/w077_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w077_spliced_p8D9 in 149s -> /workspace/flat/D9/w077_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w078_spliced_p8D9.log b/flat/D9/w078_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..ff2dba115ddf373558ca73d8b3a2fa6c8c82a9dc
--- /dev/null
+++ b/flat/D9/w078_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w078_spliced_p8D9 in 66s -> /workspace/flat/D9/w078_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w080_spliced_p8D9.log b/flat/D9/w080_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..143d41d3e77ca6296fb3910333264adab8dc95b0
--- /dev/null
+++ b/flat/D9/w080_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w080_spliced_p8D9 in 111s -> /workspace/flat/D9/w080_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w081_spliced_p8D9.log b/flat/D9/w081_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..f4cba1577e82035f808785f07a133375bb417be2
--- /dev/null
+++ b/flat/D9/w081_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w081_spliced_p8D9 in 192s -> /workspace/flat/D9/w081_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w082_spliced_p8D9.log b/flat/D9/w082_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..daeead8507d9cb29720e1a531a70975a99a42d40
--- /dev/null
+++ b/flat/D9/w082_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w082_spliced_p8D9 in 75s -> /workspace/flat/D9/w082_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w083_spliced_p8D9.log b/flat/D9/w083_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..7bd298166eab3540e7ffd344d65364eb4656e227
--- /dev/null
+++ b/flat/D9/w083_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w083_spliced_p8D9 in 123s -> /workspace/flat/D9/w083_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w084_spliced_p8D9.log b/flat/D9/w084_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..c1c3ab0be046e5e91a59351c9710915f8e68f6fc
--- /dev/null
+++ b/flat/D9/w084_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w084_spliced_p8D9 in 107s -> /workspace/flat/D9/w084_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w085_spliced_p8D9.log b/flat/D9/w085_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..23bb455a46bdd9d1489fa0a3c11090d277f155ba
--- /dev/null
+++ b/flat/D9/w085_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w085_spliced_p8D9 in 70s -> /workspace/flat/D9/w085_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w094_spliced_p8D9.log b/flat/D9/w094_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..e24c0befe065f8aea82186361e45809d60fcf7fc
--- /dev/null
+++ b/flat/D9/w094_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w094_spliced_p8D9 in 135s -> /workspace/flat/D9/w094_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w096_spliced_p8D9.log b/flat/D9/w096_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..ef3fc35f3b10c2993a90acf7a7d3843aa4a3e9a9
--- /dev/null
+++ b/flat/D9/w096_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w096_spliced_p8D9 in 126s -> /workspace/flat/D9/w096_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w104_spliced_p8D9.log b/flat/D9/w104_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..6819667597507b186d0044f91011bee8815a3449
--- /dev/null
+++ b/flat/D9/w104_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w104_spliced_p8D9 in 123s -> /workspace/flat/D9/w104_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w104_spliced_p8D9/flatten.log b/flat/D9/w104_spliced_p8D9/flatten.log
new file mode 100644
index 0000000000000000000000000000000000000000..604ddcf93aaa3df39c6a2ee93525dda270ff2c7c
--- /dev/null
+++ b/flat/D9/w104_spliced_p8D9/flatten.log
@@ -0,0 +1,142 @@
+[tifxyz_io] loaded w104_spliced_p8D9: 66x519, 26225/34254 valid (76.6%) step_h=26.596 step_w=25.882 step_diag=25.799 step_avg=26.019
+[model] pyramid levels (C=3, pyramid_d=False): 1x66x519 -> 1x33x260 -> 1x17x130 -> 1x9x65 -> 1x5x33
+data: flatten-only (no volume input)
+model: ModelConfig(mesh_step=100, winding_step=25, subsample_mesh=4, subsample_winding=4, depth=3, mesh_h=32, mesh_w=32, init_mode='cylinder_seed', z_center=0.0, pyramid_d=True, model_input=None, model_output=None)
+opt: OptConfig(device='cuda', snapshot_interval=1000, normal_mask_zero=False)
+[fit] model-init=flatten solver=forward source=/workspace/fit1218D/D9/snap/w104_spliced_p8D9 shape=(66, 519, 3) valid=26225/34254 model_shape=66x519 source_step=20 output_step=20 measured_source_step=26.0153 initial_uv_rescale=1
+initial forward flatten (inversion skipped): map_shape=(66, 519, 2) point_valid=26225/34254 quad_valid=25615/33670
+[optimizer] corr_points=False active_corr_terms=[]
+[optimizer] stage0: params=['map_flatten_ms'] steps=4500 lr=0.01 min_scaledown=0
+[optimizer] stage0: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage0: flatten_edge_step_global_scale=100
+[optimizer] stage0: flatten_diagnostics=0
+[optimizer] stage0: compile_flatten=1 combined=1
+[optimizer] stage0: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage0: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage0: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] stage0: flatten_renorm_interval=500
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage0 0/4500   1.4940       1.1179  1.1179  0.3760  0.3760 0.0000 0.0000   0.0000 0.0000 20.000
+     stage0 1/4500   1.4940   0.1 1.1179  1.1179  0.3760  0.3760 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 100/4500   0.3909 134.8 0.2672  0.2672  0.1237  0.1237 0.0000 0.0000   0.0000 0.0000 19.976
+   stage0 200/4500   0.2672 174.2 0.1720  0.1720  0.0952  0.0952 0.0000 0.0000   0.0000 0.0000 19.973
+   stage0 300/4500   0.2029 205.6 0.1265  0.1265  0.0764  0.0764 0.0000 0.0000   0.0000 0.0000 19.976
+   stage0 400/4500   0.1611 275.1 0.1001  0.1001  0.0611  0.0611 0.0000 0.0000   0.0000 0.0000 19.980
+[optimizer] stage0: flatten renorm step=500 avg_step=19.9837 target=20 uv_scale=0.999187
+   stage0 500/4500   0.1352 280.3 0.0850  0.0850  0.0502  0.0502 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 600/4500   0.1198 221.3 0.0762  0.0762  0.0436  0.0436 0.0000 0.0000   0.0000 0.0000 19.985
+   stage0 700/4500   0.1109 139.2 0.0712  0.0712  0.0397  0.0397 0.0000 0.0000   0.0000 0.0000 19.988
+   stage0 800/4500   0.1038 126.7 0.0678  0.0678  0.0360  0.0360 0.0000 0.0000   0.0000 0.0000 19.991
+   stage0 900/4500   0.0978 192.9 0.0647  0.0647  0.0331  0.0331 0.0000 0.0000   0.0000 0.0000 19.994
+[optimizer] stage0: flatten renorm step=1000 avg_step=19.9963 target=20 uv_scale=0.999816
+  stage0 1000/4500   0.0941 230.6 0.0625  0.0625  0.0316  0.0316 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1100/4500   0.0918 177.3 0.0621  0.0621  0.0298  0.0298 0.0000 0.0000   0.0000 0.0000 19.996
+  stage0 1200/4500   0.0896 139.7 0.0606  0.0606  0.0290  0.0290 0.0000 0.0000   0.0000 0.0000 19.998
+  stage0 1300/4500   0.0880 124.3 0.0594  0.0594  0.0287  0.0287 0.0000 0.0000   0.0000 0.0000 19.999
+  stage0 1400/4500   0.0871 146.1 0.0586  0.0586  0.0285  0.0285 0.0000 0.0000   0.0000 0.0000 20.001
+[optimizer] stage0: flatten renorm step=1500 avg_step=20.0016 target=20 uv_scale=1.00008
+  stage0 1500/4500   0.0860 222.4 0.0579  0.0579  0.0281  0.0281 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1600/4500   0.0862 157.1 0.0585  0.0585  0.0277  0.0277 0.0000 0.0000   0.0000 0.0000 20.001
+  stage0 1700/4500   0.0855 129.0 0.0578  0.0578  0.0278  0.0278 0.0000 0.0000   0.0000 0.0000 20.002
+  stage0 1800/4500   0.0853 133.3 0.0572  0.0572  0.0281  0.0281 0.0000 0.0000   0.0000 0.0000 20.003
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+  stage0 1900/4500   0.0846 236.8 0.0569  0.0569  0.0277  0.0277 0.0000 0.0000   0.0000 0.0000 20.003
+[optimizer] stage0: flatten renorm step=2000 avg_step=20.0037 target=20 uv_scale=1.00019
+  stage0 2000/4500   0.0845 226.5 0.0565  0.0565  0.0279  0.0279 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 2100/4500   0.0847 158.2 0.0576  0.0576  0.0272  0.0272 0.0000 0.0000   0.0000 0.0000 20.003
+  stage0 2200/4500   0.0849 131.1 0.0569  0.0569  0.0279  0.0279 0.0000 0.0000   0.0000 0.0000 20.004
+  stage0 2300/4500   0.0846 180.5 0.0566  0.0566  0.0280  0.0280 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 2400/4500   0.0848 239.6 0.0563  0.0563  0.0284  0.0284 0.0000 0.0000   0.0000 0.0000 20.005
+[optimizer] stage0: flatten renorm step=2500 avg_step=20.0055 target=20 uv_scale=1.00028
+  stage0 2500/4500   0.0848 242.0 0.0563  0.0563  0.0285  0.0285 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 2600/4500   0.0845 186.4 0.0571  0.0571  0.0274  0.0274 0.0000 0.0000   0.0000 0.0000 20.004
+  stage0 2700/4500   0.0833 112.8 0.0567  0.0567  0.0266  0.0266 0.0000 0.0000   0.0000 0.0000 20.003
+  stage0 2800/4500   0.0848 118.6 0.0565  0.0565  0.0284  0.0284 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2900/4500   0.0846 206.8 0.0562  0.0562  0.0283  0.0283 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=3000 avg_step=20.0066 target=20 uv_scale=1.00033
+  stage0 3000/4500   0.0848 243.5 0.0560  0.0560  0.0287  0.0287 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 3100/4500   0.0846 129.5 0.0569  0.0569  0.0277  0.0277 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 3200/4500   0.0848 119.1 0.0564  0.0564  0.0283  0.0283 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3300/4500   0.0848 144.0 0.0562  0.0562  0.0286  0.0286 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 3400/4500   0.0845 250.3 0.0560  0.0560  0.0285  0.0285 0.0000 0.0000   0.0000 0.0000 20.007
+[optimizer] stage0: flatten renorm step=3500 avg_step=20.0072 target=20 uv_scale=1.00036
+  stage0 3500/4500   0.0850 258.7 0.0559  0.0559  0.0290  0.0290 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 3600/4500   0.0843 171.3 0.0567  0.0567  0.0276  0.0276 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3700/4500   0.0841 116.9 0.0562  0.0562  0.0279  0.0279 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3800/4500   0.0830 142.5 0.0558  0.0558  0.0271  0.0271 0.0000 0.0000   0.0000 0.0000 20.006
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+  stage0 3900/4500   0.0838 230.0 0.0557  0.0557  0.0281  0.0281 0.0000 0.0000   0.0000 0.0000 20.007
+[optimizer] stage0: flatten renorm step=4000 avg_step=20.008 target=20 uv_scale=1.0004
+  stage0 4000/4500   0.0849 225.8 0.0558  0.0558  0.0291  0.0291 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 4100/4500   0.0840 178.2 0.0566  0.0566  0.0274  0.0274 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 4200/4500   0.0840 113.7 0.0561  0.0561  0.0279  0.0279 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 4300/4500   0.0841 276.1 0.0558  0.0558  0.0283  0.0283 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 4400/4500   0.0840 211.0 0.0556  0.0556  0.0284  0.0284 0.0000 0.0000   0.0000 0.0000 20.007
+[optimizer] stage0: flatten renorm step=4500 avg_step=20.0076 target=20 uv_scale=1.00038
+  stage0 4500/4500   0.0841  55.4 0.0555  0.0555  0.0286  0.0286 0.0000 0.0000   0.0000 0.0000 20.000
+[optimizer] stage0 'flatten' complete in 1m36.60s
+[optimizer] stage1: params=['map_flatten_ms'] steps=1000 lr=0.001 min_scaledown=0
+[optimizer] stage1: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage1: flatten_edge_step_global_scale=100
+[optimizer] stage1: flatten_diagnostics=0
+[optimizer] stage1: compile_flatten=1 combined=1
+[optimizer] stage1: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage1: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage1: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage1 0/1000   0.0796       0.0556  0.0556  0.0240  0.0240 0.0000 0.0000   0.0000 0.0000 20.000
+     stage1 1/1000   0.0796  11.5 0.0556  0.0556  0.0240  0.0240 0.0000 0.0000   0.0000 0.0000 20.000
+   stage1 100/1000   0.0833  50.9 0.0552  0.0552  0.0282  0.0282 0.0000 0.0000   0.0000 0.0000 20.008
+   stage1 200/1000   0.0830  84.2 0.0551  0.0551  0.0279  0.0279 0.0000 0.0000   0.0000 0.0000 20.007
+   stage1 300/1000   0.0835 225.5 0.0551  0.0551  0.0284  0.0284 0.0000 0.0000   0.0000 0.0000 20.008
+   stage1 400/1000   0.0834 225.1 0.0551  0.0551  0.0283  0.0283 0.0000 0.0000   0.0000 0.0000 20.008
+   stage1 500/1000   0.0834 227.4 0.0551  0.0551  0.0284  0.0284 0.0000 0.0000   0.0000 0.0000 20.008
+   stage1 600/1000   0.0835 193.9 0.0551  0.0551  0.0284  0.0284 0.0000 0.0000   0.0000 0.0000 20.008
+   stage1 700/1000   0.0839 230.7 0.0550  0.0550  0.0288  0.0288 0.0000 0.0000   0.0000 0.0000 20.008
+   stage1 800/1000   0.0838 248.2 0.0550  0.0550  0.0287  0.0287 0.0000 0.0000   0.0000 0.0000 20.008
+   stage1 900/1000   0.0836 229.0 0.0550  0.0550  0.0286  0.0286 0.0000 0.0000   0.0000 0.0000 20.008
+  stage1 1000/1000   0.0836 211.9 0.0550  0.0550  0.0286  0.0286 0.0000 0.0000   0.0000 0.0000 20.008
+[optimizer] stage1 'flatten' complete in 7.26s
+[optimizer] stage2: params=['map_flatten_ms'] steps=1000 lr=0.0001 min_scaledown=0
+[optimizer] stage2: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage2: flatten_edge_step_global_scale=100
+[optimizer] stage2: flatten_diagnostics=0
+[optimizer] stage2: compile_flatten=1 combined=1
+[optimizer] stage2: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage2: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage2: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage2 0/1000   0.0836       0.0550  0.0550  0.0286  0.0286 0.0000 0.0000   0.0000 0.0000 20.008
+     stage2 1/1000   0.0836 116.0 0.0550  0.0550  0.0286  0.0286 0.0000 0.0000   0.0000 0.0000 20.008
+   stage2 100/1000   0.0837 219.7 0.0550  0.0550  0.0286  0.0286 0.0000 0.0000   0.0000 0.0000 20.008
+   stage2 200/1000   0.0837 234.8 0.0550  0.0550  0.0287  0.0287 0.0000 0.0000   0.0000 0.0000 20.008
+   stage2 300/1000   0.0837 226.8 0.0550  0.0550  0.0286  0.0286 0.0000 0.0000   0.0000 0.0000 20.008
+   stage2 400/1000   0.0837 223.2 0.0550  0.0550  0.0287  0.0287 0.0000 0.0000   0.0000 0.0000 20.008
+   stage2 500/1000   0.0837 219.8 0.0550  0.0550  0.0287  0.0287 0.0000 0.0000   0.0000 0.0000 20.008
+   stage2 600/1000   0.0837 170.2 0.0550  0.0550  0.0287  0.0287 0.0000 0.0000   0.0000 0.0000 20.008
+   stage2 700/1000   0.0837 152.1 0.0550  0.0550  0.0287  0.0287 0.0000 0.0000   0.0000 0.0000 20.008
+   stage2 800/1000   0.0836 161.7 0.0550  0.0550  0.0286  0.0286 0.0000 0.0000   0.0000 0.0000 20.008
+   stage2 900/1000   0.0837 180.7 0.0550  0.0550  0.0287  0.0287 0.0000 0.0000   0.0000 0.0000 20.008
+  stage2 1000/1000   0.0837 188.3 0.0550  0.0550  0.0287  0.0287 0.0000 0.0000   0.0000 0.0000 20.008
+[optimizer] stage2 'flatten' complete in 5.45s
+[optimizer] total optimize time: 1m49.31s
+[fit] peak GPU memory: 0.32 GiB
+[fit2tifxyz] area_vx2=15819200
diff --git a/flat/D9/w104_spliced_p8D9/flatten_input.json b/flat/D9/w104_spliced_p8D9/flatten_input.json
new file mode 100644
index 0000000000000000000000000000000000000000..d7a31d0d3f86c8f7650e4366c4c4865575b116cc
--- /dev/null
+++ b/flat/D9/w104_spliced_p8D9/flatten_input.json
@@ -0,0 +1 @@
+{"external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w104_spliced_p8D9"}]}
diff --git a/flat/D9/w104_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json b/flat/D9/w104_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json
new file mode 100644
index 0000000000000000000000000000000000000000..cf9608ba7ab4ad719d269648a3565b1cfa1eef21
--- /dev/null
+++ b/flat/D9/w104_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json
@@ -0,0 +1,164 @@
+{
+  "uuid": "flatten.tifxyz",
+  "name": "flatten.tifxyz",
+  "type": "seg",
+  "format": "tifxyz",
+  "scale": [
+    0.05,
+    0.05
+  ],
+  "bbox": [
+    [
+      921.6826171875,
+      2196.525390625,
+      19538.796875
+    ],
+    [
+      6039.58984375,
+      5111.6298828125,
+      20542.83203125
+    ]
+  ],
+  "area_vx2": 15819200.0,
+  "model_source": "/workspace/flat/D9/w104_spliced_p8D9/model_final.pt",
+  "fit_config": {
+    "args": {
+      "model-init": "flatten",
+      "flatten_solver": "forward",
+      "flatten_initial_inversion": false,
+      "flatten_output_step": 20.0,
+      "flatten_output_margin": 0.0,
+      "flatten_edge_step_global_scale": 100.0,
+      "input": null,
+      "device": "cuda",
+      "downscale": 4.0,
+      "crop": null,
+      "seed": null,
+      "model-w": null,
+      "model-w-unit": "voxels",
+      "model-h": null,
+      "winding-volume": null,
+      "cuda-gridsample": 1,
+      "erode-valid-mask": 0,
+      "sparse-prefetch-backend": "tensorstore",
+      "corr-point-roi": false,
+      "corr-point-roi-init-margin": 80,
+      "corr-point-roi-output-radius": 20,
+      "mesh-step": 100,
+      "winding-step": 25,
+      "subsample-mesh": 4,
+      "subsample-winding": 4,
+      "depth": 3,
+      "mesh-h": 32,
+      "mesh-w": 32,
+      "init-mode": "cylinder_seed",
+      "z-center": 0.0,
+      "pyramid-d": true,
+      "model-input": null,
+      "model-output": null,
+      "snapshot-interval": 1000,
+      "normal-mask-zero": 0,
+      "out-dir": "/workspace/flat/D9/w104_spliced_p8D9",
+      "tifxyz-init": null,
+      "self-map-init": "off",
+      "flatten-solver": "forward",
+      "approval-inpaint": false,
+      "approval-inpaint-corr-spacing": null,
+      "approval-inpaint-padding-frac": 0.25,
+      "approval-inpaint-output-mask": false,
+      "approval-inpaint-output-mask-dilate": 3,
+      "approval-inpaint-tifxyz": null,
+      "tifxyz-flow-gate-channels": false,
+      "progress": false
+    },
+    "base": {
+      "flatten_sdir": 1.0,
+      "flatten_edge_step": 1.0,
+      "flatten_avg_offset": 1.0,
+      "flatten_orient": 2.0
+    },
+    "stages": [
+      {
+        "name": "flatten",
+        "steps": 4500,
+        "lr": 0.01,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05,
+          "flatten_renorm_interval": 500
+        }
+      },
+      {
+        "name": "flatten",
+        "steps": 1000,
+        "lr": 0.001,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05
+        }
+      },
+      {
+        "name": "flatten",
+        "steps": 1000,
+        "lr": 0.0001,
+        "params": [
+          "map_flatten_ms"
+        ],
+        "min_scaledown": 0,
+        "args": {
+          "compile_flatten": true,
+          "compile_flatten_combined": true,
+          "flatten_diagnostics": false,
+          "fused_flatten_adam_clamp": true,
+          "flatten_support": true,
+          "flatten_support_radius": 1,
+          "flatten_orient_min_det": 0.01,
+          "flatten_filter_source_angles": false,
+          "flatten_max_update": 0.1,
+          "flatten_sdir_eps": 1e-08,
+          "status_interval": 100,
+          "auto_steps_window": 2000,
+          "auto_steps_max": 100000,
+          "auto_steps_rel_threshold": 1e-05
+        }
+      }
+    ],
+    "external_surfaces": [
+      {
+        "path": "/workspace/fit1218D/D9/snap/w104_spliced_p8D9"
+      }
+    ]
+  }
+}
diff --git a/flat/D9/w105_spliced_p8D9.log b/flat/D9/w105_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..850963a0fa850678819c0a316e134c190628d567
--- /dev/null
+++ b/flat/D9/w105_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w105_spliced_p8D9 in 174s -> /workspace/flat/D9/w105_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w105_spliced_p8D9/flatten.log b/flat/D9/w105_spliced_p8D9/flatten.log
new file mode 100644
index 0000000000000000000000000000000000000000..a49bde03f251ce7f78c8acab40bcf5f9a97ff821
--- /dev/null
+++ b/flat/D9/w105_spliced_p8D9/flatten.log
@@ -0,0 +1,142 @@
+[tifxyz_io] loaded w105_spliced_p8D9: 66x524, 26488/34584 valid (76.6%) step_h=26.572 step_w=25.914 step_diag=25.784 step_avg=26.013
+[model] pyramid levels (C=3, pyramid_d=False): 1x66x524 -> 1x33x262 -> 1x17x131 -> 1x9x66 -> 1x5x33
+data: flatten-only (no volume input)
+model: ModelConfig(mesh_step=100, winding_step=25, subsample_mesh=4, subsample_winding=4, depth=3, mesh_h=32, mesh_w=32, init_mode='cylinder_seed', z_center=0.0, pyramid_d=True, model_input=None, model_output=None)
+opt: OptConfig(device='cuda', snapshot_interval=1000, normal_mask_zero=False)
+[fit] model-init=flatten solver=forward source=/workspace/fit1218D/D9/snap/w105_spliced_p8D9 shape=(66, 524, 3) valid=26488/34584 model_shape=66x524 source_step=20 output_step=20 measured_source_step=26.0095 initial_uv_rescale=1
+initial forward flatten (inversion skipped): map_shape=(66, 524, 2) point_valid=26488/34584 quad_valid=25871/33995
+[optimizer] corr_points=False active_corr_terms=[]
+[optimizer] stage0: params=['map_flatten_ms'] steps=4500 lr=0.01 min_scaledown=0
+[optimizer] stage0: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage0: flatten_edge_step_global_scale=100
+[optimizer] stage0: flatten_diagnostics=0
+[optimizer] stage0: compile_flatten=1 combined=1
+[optimizer] stage0: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage0: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage0: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] stage0: flatten_renorm_interval=500
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage0 0/4500   1.4861       1.1133  1.1133  0.3728  0.3728 0.0000 0.0000   0.0000 0.0000 20.000
+     stage0 1/4500   1.4861   0.0 1.1133  1.1133  0.3728  0.3728 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 100/4500   0.3943 191.3 0.2690  0.2690  0.1253  0.1253 0.0000 0.0000   0.0000 0.0000 19.976
+   stage0 200/4500   0.2745 169.0 0.1751  0.1751  0.0993  0.0993 0.0000 0.0000   0.0000 0.0000 19.973
+   stage0 300/4500   0.2101 231.0 0.1302  0.1302  0.0799  0.0799 0.0000 0.0000   0.0000 0.0000 19.976
+   stage0 400/4500   0.1694 217.0 0.1044  0.1044  0.0650  0.0650 0.0000 0.0000   0.0000 0.0000 19.980
+[optimizer] stage0: flatten renorm step=500 avg_step=19.9846 target=20 uv_scale=0.99923
+   stage0 500/4500   0.1434 171.7 0.0891  0.0891  0.0543  0.0543 0.0000 0.0000   0.0000 0.0000 20.000
+   stage0 600/4500   0.1292 164.1 0.0815  0.0815  0.0477  0.0477 0.0000 0.0000   0.0000 0.0000 19.986
+   stage0 700/4500   0.1204 180.4 0.0764  0.0764  0.0440  0.0440 0.0000 0.0000   0.0000 0.0000 19.988
+   stage0 800/4500   0.1119 216.3 0.0725  0.0725  0.0394  0.0394 0.0000 0.0000   0.0000 0.0000 19.992
+   stage0 900/4500   0.1067 215.4 0.0695  0.0695  0.0372  0.0372 0.0000 0.0000   0.0000 0.0000 19.995
+[optimizer] stage0: flatten renorm step=1000 avg_step=19.9969 target=20 uv_scale=0.999844
+  stage0 1000/4500   0.1031 230.8 0.0672  0.0672  0.0359  0.0359 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1100/4500   0.1002 181.5 0.0663  0.0663  0.0339  0.0339 0.0000 0.0000   0.0000 0.0000 19.996
+  stage0 1200/4500   0.0980 240.7 0.0648  0.0648  0.0332  0.0332 0.0000 0.0000   0.0000 0.0000 19.998
+  stage0 1300/4500   0.0966 223.5 0.0635  0.0635  0.0331  0.0331 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1400/4500   0.0957 231.2 0.0625  0.0625  0.0332  0.0332 0.0000 0.0000   0.0000 0.0000 20.001
+[optimizer] stage0: flatten renorm step=1500 avg_step=20.0027 target=20 uv_scale=1.00014
+  stage0 1500/4500   0.0951 249.4 0.0618  0.0618  0.0333  0.0333 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 1600/4500   0.0950 279.9 0.0627  0.0627  0.0323  0.0323 0.0000 0.0000   0.0000 0.0000 20.001
+  stage0 1700/4500   0.0945 283.8 0.0619  0.0619  0.0326  0.0326 0.0000 0.0000   0.0000 0.0000 20.002
+  stage0 1800/4500   0.0946 231.8 0.0614  0.0614  0.0332  0.0332 0.0000 0.0000   0.0000 0.0000 20.003
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+  stage0 1900/4500   0.0948 264.3 0.0611  0.0611  0.0337  0.0337 0.0000 0.0000   0.0000 0.0000 20.004
+[optimizer] stage0: flatten renorm step=2000 avg_step=20.0051 target=20 uv_scale=1.00025
+  stage0 2000/4500   0.0949 197.3 0.0608  0.0608  0.0341  0.0341 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 2100/4500   0.0942 162.6 0.0618  0.0618  0.0324  0.0324 0.0000 0.0000   0.0000 0.0000 20.003
+  stage0 2200/4500   0.0946 222.7 0.0612  0.0612  0.0334  0.0334 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 2300/4500   0.0947 212.8 0.0609  0.0609  0.0338  0.0338 0.0000 0.0000   0.0000 0.0000 20.005
+  stage0 2400/4500   0.0950 204.9 0.0606  0.0606  0.0344  0.0344 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=2500 avg_step=20.0074 target=20 uv_scale=1.00037
+  stage0 2500/4500   0.0958 173.3 0.0606  0.0606  0.0352  0.0352 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 2600/4500   0.0971  90.8 0.0617  0.0617  0.0353  0.0353 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 2700/4500   0.0951  58.4 0.0611  0.0611  0.0340  0.0340 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2800/4500   0.0943  68.5 0.0607  0.0607  0.0336  0.0336 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 2900/4500   0.0943 133.9 0.0605  0.0605  0.0338  0.0338 0.0000 0.0000   0.0000 0.0000 20.006
+[optimizer] stage0: flatten renorm step=3000 avg_step=20.0063 target=20 uv_scale=1.00032
+  stage0 3000/4500   0.0941 100.6 0.0603  0.0603  0.0338  0.0338 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 3100/4500   0.0953  83.3 0.0615  0.0615  0.0338  0.0338 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3200/4500   0.0955 138.2 0.0610  0.0610  0.0345  0.0345 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 3300/4500   0.0967 131.6 0.0608  0.0608  0.0359  0.0359 0.0000 0.0000   0.0000 0.0000 20.008
+  stage0 3400/4500   0.0958 147.1 0.0605  0.0605  0.0353  0.0353 0.0000 0.0000   0.0000 0.0000 20.008
+[optimizer] stage0: flatten renorm step=3500 avg_step=20.007 target=20 uv_scale=1.00035
+  stage0 3500/4500   0.0941 159.1 0.0604  0.0604  0.0337  0.0337 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 3600/4500   0.0928 149.1 0.0615  0.0615  0.0313  0.0313 0.0000 0.0000   0.0000 0.0000 20.004
+  stage0 3700/4500   0.0944 248.7 0.0611  0.0611  0.0334  0.0334 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 3800/4500   0.0946 250.5 0.0607  0.0607  0.0339  0.0339 0.0000 0.0000   0.0000 0.0000 20.007
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+  stage0 3900/4500   0.0944 242.8 0.0605  0.0605  0.0339  0.0339 0.0000 0.0000   0.0000 0.0000 20.007
+[optimizer] stage0: flatten renorm step=4000 avg_step=20.0076 target=20 uv_scale=1.00038
+  stage0 4000/4500   0.0944 232.5 0.0603  0.0603  0.0341  0.0341 0.0000 0.0000   0.0000 0.0000 20.000
+  stage0 4100/4500   0.0943 154.4 0.0615  0.0615  0.0328  0.0328 0.0000 0.0000   0.0000 0.0000 20.006
+  stage0 4200/4500   0.0950 177.3 0.0611  0.0611  0.0339  0.0339 0.0000 0.0000   0.0000 0.0000 20.007
+  stage0 4300/4500   0.0945 206.5 0.0607  0.0607  0.0339  0.0339 0.0000 0.0000   0.0000 0.0000 20.008
+  stage0 4400/4500   0.0944 200.2 0.0607  0.0607  0.0337  0.0337 0.0000 0.0000   0.0000 0.0000 20.008
+[optimizer] stage0: flatten renorm step=4500 avg_step=20.0083 target=20 uv_scale=1.00041
+  stage0 4500/4500   0.0945 199.4 0.0604  0.0604  0.0340  0.0340 0.0000 0.0000   0.0000 0.0000 20.000
+[optimizer] stage0 'flatten' complete in 2m01.79s
+[optimizer] stage1: params=['map_flatten_ms'] steps=1000 lr=0.001 min_scaledown=0
+[optimizer] stage1: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage1: flatten_edge_step_global_scale=100
+[optimizer] stage1: flatten_diagnostics=0
+[optimizer] stage1: compile_flatten=1 combined=1
+[optimizer] stage1: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage1: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage1: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage1 0/1000   0.0894       0.0605  0.0605  0.0289  0.0289 0.0000 0.0000   0.0000 0.0000 20.000
+     stage1 1/1000   0.0894  69.8 0.0605  0.0605  0.0289  0.0289 0.0000 0.0000   0.0000 0.0000 20.000
+   stage1 100/1000   0.0937 152.9 0.0599  0.0599  0.0338  0.0338 0.0000 0.0000   0.0000 0.0000 20.008
+   stage1 200/1000   0.0937 192.1 0.0599  0.0599  0.0339  0.0339 0.0000 0.0000   0.0000 0.0000 20.008
+   stage1 300/1000   0.0937 199.3 0.0598  0.0598  0.0339  0.0339 0.0000 0.0000   0.0000 0.0000 20.008
+   stage1 400/1000   0.0938 201.9 0.0598  0.0598  0.0340  0.0340 0.0000 0.0000   0.0000 0.0000 20.008
+   stage1 500/1000   0.0940 198.4 0.0598  0.0598  0.0342  0.0342 0.0000 0.0000   0.0000 0.0000 20.009
+   stage1 600/1000   0.0938 142.0 0.0598  0.0598  0.0340  0.0340 0.0000 0.0000   0.0000 0.0000 20.008
+   stage1 700/1000   0.0941  67.0 0.0598  0.0598  0.0343  0.0343 0.0000 0.0000   0.0000 0.0000 20.009
+   stage1 800/1000   0.0940  78.5 0.0598  0.0598  0.0342  0.0342 0.0000 0.0000   0.0000 0.0000 20.009
+   stage1 900/1000   0.0941  74.4 0.0598  0.0598  0.0343  0.0343 0.0000 0.0000   0.0000 0.0000 20.009
+  stage1 1000/1000   0.0941 110.9 0.0598  0.0598  0.0343  0.0343 0.0000 0.0000   0.0000 0.0000 20.009
+[optimizer] stage1 'flatten' complete in 8.81s
+[optimizer] stage2: params=['map_flatten_ms'] steps=1000 lr=0.0001 min_scaledown=0
+[optimizer] stage2: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
+[optimizer] stage2: flatten_edge_step_global_scale=100
+[optimizer] stage2: flatten_diagnostics=0
+[optimizer] stage2: compile_flatten=1 combined=1
+[optimizer] stage2: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
+[optimizer] stage2: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
+[optimizer] stage2: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
+[optimizer] progress columns
+  col      : meaning                          | col      : meaning                          | col      : meaning                         
+  step     : stage step                       | loss     : total loss                       | it/s     : optimizer it/s                  
+  f_sdir   : flatten_sdir                     | f_sdirW  : weighted flatten_sdir            | f_estep  : physical edge step loss         
+  f_estpW  : weighted physical edge step loss | f_avg    : flatten_avg_offset               | f_avgW   : weighted flatten_avg_offset     
+  f_orient : flatten_orient                   | f_oriW   : weighted flatten_orient          | f_step   : flatten current avg grid step   
+              step     loss  it/s f_sdir f_sdirW f_estep f_estpW  f_avg f_avgW f_orient f_oriW f_step
+     stage2 0/1000   0.0940       0.0598  0.0598  0.0342  0.0342 0.0000 0.0000   0.0000 0.0000 20.009
+     stage2 1/1000   0.0940  11.8 0.0598  0.0598  0.0342  0.0342 0.0000 0.0000   0.0000 0.0000 20.009
+   stage2 100/1000   0.0943  46.7 0.0598  0.0598  0.0345  0.0345 0.0000 0.0000   0.0000 0.0000 20.009
+   stage2 200/1000   0.0943 100.3 0.0598  0.0598  0.0345  0.0345 0.0000 0.0000   0.0000 0.0000 20.009
+   stage2 300/1000   0.0944 143.3 0.0598  0.0598  0.0346  0.0346 0.0000 0.0000   0.0000 0.0000 20.009
+   stage2 400/1000   0.0944  83.2 0.0598  0.0598  0.0346  0.0346 0.0000 0.0000   0.0000 0.0000 20.009
+   stage2 500/1000   0.0945 140.5 0.0598  0.0598  0.0346  0.0346 0.0000 0.0000   0.0000 0.0000 20.009
+   stage2 600/1000   0.0945 119.9 0.0598  0.0598  0.0347  0.0347 0.0000 0.0000   0.0000 0.0000 20.009
+   stage2 700/1000   0.0946  74.1 0.0598  0.0598  0.0348  0.0348 0.0000 0.0000   0.0000 0.0000 20.009
+   stage2 800/1000   0.0947 109.1 0.0599  0.0599  0.0349  0.0349 0.0000 0.0000   0.0000 0.0000 20.009
+   stage2 900/1000   0.0947 135.1 0.0599  0.0599  0.0349  0.0349 0.0000 0.0000   0.0000 0.0000 20.009
+  stage2 1000/1000   0.0949  79.3 0.0599  0.0599  0.0350  0.0350 0.0000 0.0000   0.0000 0.0000 20.009
+[optimizer] stage2 'flatten' complete in 11.39s
+[optimizer] total optimize time: 2m21.99s
+[fit] peak GPU memory: 0.32 GiB
+[fit2tifxyz] area_vx2=16052400
diff --git a/flat/D9/w105_spliced_p8D9/flatten_input.json b/flat/D9/w105_spliced_p8D9/flatten_input.json
new file mode 100644
index 0000000000000000000000000000000000000000..cf4754cf3b72c701b307bf1d5c832eb597225884
--- /dev/null
+++ b/flat/D9/w105_spliced_p8D9/flatten_input.json
@@ -0,0 +1 @@
+{"external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w105_spliced_p8D9"}]}
diff --git a/flat/D9/w106_spliced_p8D9.log b/flat/D9/w106_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..02ed5cc5313b1a0e2c54ae41dcf790507883649f
--- /dev/null
+++ b/flat/D9/w106_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w106_spliced_p8D9 in 198s -> /workspace/flat/D9/w106_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w107_spliced_p8D9.log b/flat/D9/w107_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..f109a613ae825366d1dc306f8dcb98a9bef52f50
--- /dev/null
+++ b/flat/D9/w107_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w107_spliced_p8D9 in 141s -> /workspace/flat/D9/w107_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w108_spliced_p8D9.log b/flat/D9/w108_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..a9c8e9e48e0c1466bb13ea2989a1d6ba5a11da45
--- /dev/null
+++ b/flat/D9/w108_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w108_spliced_p8D9 in 208s -> /workspace/flat/D9/w108_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w109_spliced_p8D9.log b/flat/D9/w109_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..4f3f3d3b4e74680f93be54d28cf0885e9db1440a
--- /dev/null
+++ b/flat/D9/w109_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w109_spliced_p8D9 in 103s -> /workspace/flat/D9/w109_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/flat/D9/w110_spliced_p8D9.log b/flat/D9/w110_spliced_p8D9.log
new file mode 100644
index 0000000000000000000000000000000000000000..7911582c3b9ab20925ab4e25c961f0fa1175234b
--- /dev/null
+++ b/flat/D9/w110_spliced_p8D9.log
@@ -0,0 +1 @@
+flattened w110_spliced_p8D9 in 187s -> /workspace/flat/D9/w110_spliced_p8D9/tifxyz/flatten.tifxyz
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc21.50_reverse.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc21.50_reverse.json
new file mode 100644
index 0000000000000000000000000000000000000000..c883996e715c788b142276d1fc0471ba70b2d3f3
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc21.50_reverse.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": true,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc22.50.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc22.50.json
new file mode 100644
index 0000000000000000000000000000000000000000..422da7516c3bdaaaf2cd80eb89dd19dc554211fd
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc22.50.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": false,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc23.50.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc23.50.json
new file mode 100644
index 0000000000000000000000000000000000000000..422da7516c3bdaaaf2cd80eb89dd19dc554211fd
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc23.50.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": false,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc26.50_reverse.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc26.50_reverse.json
new file mode 100644
index 0000000000000000000000000000000000000000..c883996e715c788b142276d1fc0471ba70b2d3f3
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc26.50_reverse.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": true,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc29.50.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc29.50.json
new file mode 100644
index 0000000000000000000000000000000000000000..422da7516c3bdaaaf2cd80eb89dd19dc554211fd
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc29.50.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": false,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc29.50_reverse.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc29.50_reverse.json
new file mode 100644
index 0000000000000000000000000000000000000000..c883996e715c788b142276d1fc0471ba70b2d3f3
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc29.50_reverse.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": true,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc30.50_reverse.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc30.50_reverse.json
new file mode 100644
index 0000000000000000000000000000000000000000..c883996e715c788b142276d1fc0471ba70b2d3f3
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc30.50_reverse.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": true,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc32.50.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc32.50.json
new file mode 100644
index 0000000000000000000000000000000000000000..422da7516c3bdaaaf2cd80eb89dd19dc554211fd
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc32.50.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": false,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc33.50.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc33.50.json
new file mode 100644
index 0000000000000000000000000000000000000000..422da7516c3bdaaaf2cd80eb89dd19dc554211fd
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc33.50.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": false,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc36.50_reverse.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc36.50_reverse.json
new file mode 100644
index 0000000000000000000000000000000000000000..c883996e715c788b142276d1fc0471ba70b2d3f3
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc36.50_reverse.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": true,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc37.50_reverse.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc37.50_reverse.json
new file mode 100644
index 0000000000000000000000000000000000000000..c883996e715c788b142276d1fc0471ba70b2d3f3
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc37.50_reverse.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": true,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc38.50_reverse.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc38.50_reverse.json
new file mode 100644
index 0000000000000000000000000000000000000000..c883996e715c788b142276d1fc0471ba70b2d3f3
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc38.50_reverse.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": true,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc39.50.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc39.50.json
new file mode 100644
index 0000000000000000000000000000000000000000..422da7516c3bdaaaf2cd80eb89dd19dc554211fd
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc39.50.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": false,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc39.50_reverse.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc39.50_reverse.json
new file mode 100644
index 0000000000000000000000000000000000000000..c883996e715c788b142276d1fc0471ba70b2d3f3
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc39.50_reverse.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": true,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc40.50.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc40.50.json
new file mode 100644
index 0000000000000000000000000000000000000000..422da7516c3bdaaaf2cd80eb89dd19dc554211fd
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc40.50.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": false,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc41.50.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc41.50.json
new file mode 100644
index 0000000000000000000000000000000000000000..422da7516c3bdaaaf2cd80eb89dd19dc554211fd
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc41.50.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": false,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc42.50_reverse.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc42.50_reverse.json
new file mode 100644
index 0000000000000000000000000000000000000000..c883996e715c788b142276d1fc0471ba70b2d3f3
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc42.50_reverse.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": true,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc43.50_reverse.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc43.50_reverse.json
new file mode 100644
index 0000000000000000000000000000000000000000..c883996e715c788b142276d1fc0471ba70b2d3f3
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc43.50_reverse.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": true,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}
diff --git a/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc45.50_reverse.json b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc45.50_reverse.json
new file mode 100644
index 0000000000000000000000000000000000000000..c883996e715c788b142276d1fc0471ba70b2d3f3
--- /dev/null
+++ b/seg_big/w083_main/box_C2f_w081/target/maps/render__hecate__L66zc45.50_reverse.json
@@ -0,0 +1,13 @@
+{
+  "checkpoint": "hecate_9.6um.pth",
+  "sampling_um": 9.6,
+  "shape_yx": [
+    1008,
+    1350
+  ],
+  "reverse_z": true,
+  "central_depth": 16,
+  "precision": "fp32",
+  "stride": 32,
+  "probabilities": "uint8 = round(255 * probability); no min-max scaling"
+}