{ "date": "2026-07-19", "case_id": "gso_000_input4", "protocol": 4, "generation": { "seed": 1, "steps": 12, "pipeline_type": "512", "uniform_mode": "multidiffusion", "adapter_mode": "vggt_adapter", "adapter_checkpoint_step": 100 }, "evaluation": { "samples": 20000, "seed": 11, "uniform": { "chamfer_mean": 0.06764168226180114, "fscore_5pct": 0.4772477594227666, "fscore_10pct": 0.7223514140586597, "watertight": 0.0, "boundary_edges": 260, "nonmanifold_edges": 345, "pred_faces": 13496 }, "adapter_step100": { "chamfer_mean": 0.08075723154417283, "fscore_5pct": 0.3803015176187065, "fscore_10pct": 0.6757189875758024, "watertight": 0.0, "boundary_edges": 6606, "nonmanifold_edges": 8808, "pred_faces": 1597958 }, "adapter_minus_uniform": { "chamfer_delta": 0.013115549282371686, "chamfer_relative_worsening": 0.19389744376269524, "fscore_5pct_delta": -0.09694624180406008, "fscore_10pct_delta": -0.04663242648285726, "face_ratio": 118.4023414344991 } }, "sparse_diagnostics": { "uniform_tokens": 26, "adapter_tokens": 3134, "adapter_over_uniform": 120.53846153846153, "uniform_occupancy_fraction_32cubed": 0.00079345703125, "adapter_occupancy_fraction_32cubed": 0.09564208984375, "uniform_extent_xyz": [ 3, 5, 5 ], "adapter_extent_xyz": [ 32, 32, 28 ] }, "checkpoint_sparse_sweep": { "uniform_multidiffusion_tokens": 26, "mean_dino_single_call_tokens": 3421, "step1_tokens": 3409, "step25_tokens": 3153, "step50_tokens": 3234, "step100_tokens": 3090, "step1_effective_delta_over_mean": 6.20169999362956e-05, "step100_effective_delta_over_mean": 0.018326999478259404 }, "baseline_preserving_v2": { "parity": { "exact_condition_parity": true, "uniform_token_count": 26, "adapter_token_count": 26, "token_count_parity": true, "exact_coordinate_parity": true, "parity_gate_passed": true, "adapter_extraction_sec": 0.9240249507129192, "uniform_sparse_sec": 5.5086308480240405, "adapter_sparse_sec": 4.703425585757941, "process_wall_sec": 100.11402809526771, "peak_reserved_bytes": 8097103872 }, "training_smoke100": { "optimizer_steps": 100, "micro_samples": 400, "view_counts": [ 2, 4, 6, 8 ], "loss_first": 0.1945308782160282, "loss_last": 0.08757494017481804, "loss_min": 0.0329341, "loss_mean": 0.10418236, "loss_last10_mean": 0.10070167, "gradient_nonzero_steps": 100, "gradient_max": 3.09956, "gate_last": 0.0019639458041638136, "mean_optimizer_step_sec": 7.7924, "training_elapsed_sec": 780.35, "peak_reserved_bytes": 27342667776, "external_peak_vram_mib": 36305 }, "sparse_checkpoint_sweep": { "uniform_tokens": 26, "max_token_ratio_gate": 2.0, "rows": [ { "step": 1, "tokens": 285, "token_ratio": 10.961538461538462, "extent_xyz": [ 8, 8, 17 ] }, { "step": 25, "tokens": 30, "token_ratio": 1.1538461538461537, "extent_xyz": [ 5, 3, 3 ] }, { "step": 50, "tokens": 4672, "token_ratio": 179.69230769230768, "extent_xyz": [ 31, 32, 30 ] }, { "step": 100, "tokens": 320, "token_ratio": 12.307692307692308, "extent_xyz": [ 13, 9, 12 ] } ], "selected_step": 25 }, "inference_step25_limit1": { "case_id": "gso_000_input4", "status": "ok", "pred_vertices": 8333, "pred_faces": 16734, "process_wall_sec": 123.53, "external_peak_vram_mib": 8405, "chamfer_mean": 0.0772680040960069, "fscore_5pct": 0.4102346158492389, "fscore_10pct": 0.7230832520999687, "watertight": 0.0, "boundary_edges": 169, "nonmanifold_edges": 269, "bbox_diag_ratio": 0.44705842788461697, "surface_area_ratio": 0.14763792478262597, "volume_ratio_abs": 0.49897845944352615, "uniform_baseline": { "chamfer_mean": 0.06764168226180114, "fscore_5pct": 0.4772477594227666, "fscore_10pct": 0.7223514140586597, "boundary_edges": 260, "nonmanifold_edges": 345, "bbox_diag_ratio": 0.49429087794334053, "surface_area_ratio": 0.1232699497672049, "volume_ratio_abs": 1.1049646497803474 }, "comparison": { "chamfer_delta": 0.009626321834205753, "chamfer_relative_worsening": 0.1423134598715024, "fscore_5pct_delta": -0.06701314357352767, "fscore_10pct_delta": 0.000731838041309052 }, "gate": { "no_failure": true, "noncatastrophic_scale": true, "chamfer_or_fscore5_improved": false, "passed": false } }, "trajectory_diagnostic": { "first_latent_divergent_step": 1, "first_occupancy_divergent_step": 6, "step1_velocity_delta_rms": 0.006137523800134659, "step6_velocity_delta_rms": 0.09642550349235535, "step12_latent_delta_over_uniform": 1.3115756426949228, "step12_latent_cosine": 0.009445431642234325, "uniform_final_tokens": 26, "adapter_final_tokens": 24, "final_jaccard": 0.0, "final_centroid_distance": 25.046159104361678, "repeat_tokens": 24, "repeat_jaccard": 1.0, "cross_process_adapter_token_counts": [ 30, 23, 24 ], "process_wall_sec": 110.7538161301054, "external_peak_vram_mib": 8416, "failed_attempt": "decoder remained on CPU in low_vram mode", "root_cause": "A tiny condition residual changes the first-step velocity and is amplified by nonlinear CFG flow and the rescaled Euler schedule. The final large step moves the latent to a nearly orthogonal state, and zero-threshold decoding produces a disjoint support despite a similar token count." }, "residual_alpha_sweep": { "selected_alpha": 0.25, "rows": [ { "alpha": 0.0, "tokens": 26, "jaccard": 1.0, "centroid_distance": 0.0 }, { "alpha": 0.03125, "tokens": 297, "jaccard": 0.0, "centroid_distance": 13.4594814069085 }, { "alpha": 0.0625, "tokens": 144, "jaccard": 0.0, "centroid_distance": 11.692175230594483 }, { "alpha": 0.125, "tokens": 0, "jaccard": 0.0, "centroid_distance": null }, { "alpha": 0.25, "tokens": 24, "jaccard": 0.9230769230769231, "centroid_distance": 0.07916082714890124 }, { "alpha": 0.5, "tokens": 0, "jaccard": 0.0, "centroid_distance": null }, { "alpha": 0.75, "tokens": 23, "jaccard": 0.0, "centroid_distance": 25.073674564402484 }, { "alpha": 1.0, "tokens": 22, "jaccard": 0.0, "centroid_distance": 25.11114736995915 } ] }, "inference_step25_alpha025_limit1": { "chamfer_mean": 0.06435134223954567, "fscore_5pct": 0.46005615357904656, "fscore_10pct": 0.7607219324225343, "watertight": 0.0, "boundary_edges": 281, "nonmanifold_edges": 471, "chamfer_relative_improvement": 0.048643675204890796, "fscore_5pct_delta": -0.017191605843720037, "fscore_10pct_delta": 0.03837051836387462, "gate_passed": true }, "inference_step25_alpha025_limit10": { "total_cases": 10, "success_cases": 9, "failure_rate": 0.1, "paired_common_cases": 9, "uniform_chamfer_mean": 0.083160928673005, "adapter_chamfer_mean": 0.08324872401311159, "chamfer_relative_change": 0.001055728230883702, "fscore_5pct_delta": 0.0007728603541258816, "fscore_10pct_delta": 0.001107409053672237, "watertight_rate": 0.0, "max_pred_faces": 2662864, "max_bbox_diag_ratio": 14.224920408260196, "max_surface_area_ratio": 192.4194751302775, "max_volume_ratio_abs": 345.02480713717534, "gate_passed": false } }, "root_cause": { "primary": "Condition averaging does not preserve the multidiffusion baseline because sparse flow is nonlinear: model(mean(cond_i)) is not mean(model(cond_i)).", "evidence": "The zero-residual mean-DINO single call produces 3,421 sparse tokens versus 26 for uniform multidiffusion; step 1 changes the condition by only 0.0062% yet still produces 3,409 tokens.", "secondary_risk": "Training caches contextualize VGGT over 16 views before subsetting, while inference contextualizes only the requested 2/4/6/8 views. A same-object 16-context versus fresh-4 comparison changes VGGT tokens substantially but yields similarly exploded occupancy, so it is not the primary cause.", "baseline_preserving_v2": "Exact zero-gate parity fixes the architecture fallback, but learned residuals are unconstrained in velocity/support space. Step 25 diverges in velocity at the first same-noise step, first changes decoded occupancy at step 6, and ends with Jaccard 0 and a 25.05-voxel centroid shift.", "velocity_trust_region_v3": "Per-step relative-RMS velocity limiting does not bound the full recurrent trajectory. Each later baseline/corrected prediction is evaluated at an already diverged x_t, so tiny bounded local corrections can still cross decoder thresholds or converge to another attractor.", "cumulative_state_anchor_v4": "Maintaining a separate exact uniform shadow state removes the recurrent-reference drift that defeated local velocity caps; projecting each next state directly enforces the desired cumulative latent bound." }, "gate": { "no_extra_failure": true, "chamfer_improved": false, "fscore_5pct_improved": false, "promising": false, "velocity_trust_region_v3_multi_case_passed": false, "cumulative_state_anchor_v4_multi_case_passed": true, "cumulative_state_anchor_v4_selected_rel_cap": 0.1 }, "decision": { "run_ten_case_checkpoint_matrix_now": false, "scale_to_512_objects_now": false, "reason": "The fixed three-case state gate passed for rel_cap 0.1 with exact shadow parity, no failures, token ratios 0.962-0.994, Jaccard 0.962-0.994, and centroid drift at most 0.3724 voxels. Mesh quality and watertightness remain untested.", "next_diagnostics": [ "implement two-to-four-step differentiable unroll with a no-grad shadow branch", "run one-step gradient/frozen-model smoke and 100 optimizer steps", "evaluate the selected checkpoint on the same-case formal geometry/topology gate", "only then run the fixed ten-case matrix and watertight extraction" ], "run_velocity_trust_region_v3_training_now": false, "run_state_anchor_short_unroll_training_now": true, "run_full_protocols_now": false }, "velocity_trust_region_v3": { "design": "Per-sample per-step positive-velocity RMS trust region applied before existing negative CFG.", "contract": "v_safe = v_base + min(1, cap * rms(v_base) / (rms(v_corr-v_base)+eps)) * (v_corr-v_base)", "implementation": { "sampler_and_training_shared_limiter": true, "cap_zero_returns_baseline_directly": true, "cfg_after_positive_velocity_limiting": true, "training_baseline_no_grad": true, "adapter_version": "velocity_trust_region_v3" }, "tests": { "trellis2_sampler_and_adapter": "23/23 passed in the latest focused run", "research_runner_trainer_sweep": "32/32 passed in the latest focused run", "total_focused": "55/55 passed" }, "cap0_parity": { "case_id": "gso_000_input4", "uniform_tokens": 26, "adapter_tokens": 26, "latent_exact_equal": true, "coordinates_exact_equal": true, "max_velocity_ratio": 0.0, "process_wall_sec": 108.22584278602153, "command_wall_sec": 120.78, "cpu_rss_peak_kib": 25436872, "peak_allocated_bytes": 8044596736, "peak_reserved_bytes": 8097103872, "external_peak_vram_mib": 8416, "gate_passed": true }, "single_case_initial_sweep": { "caps": [ 0.0, 0.01, 0.025, 0.05, 0.1 ], "uncapped_velocity_ratio": 0.003059531096369028, "all_nonzero_failed": true, "selected_training_cap": null, "process_wall_sec": 139.73006567312405, "command_wall_sec": 152.35, "cpu_rss_peak_kib": 25435616, "peak_reserved_bytes": 8097103872, "external_peak_vram_mib": 8416, "decision": "The original 0.01-0.1 caps never clipped because the full step-25 correction was only about 0.00306 of baseline velocity RMS; all nonzero trajectories relocated support." }, "fine_sweep": { "caps": [ 0.0, 1e-06, 3e-06, 1e-05, 3e-05, 0.0001, 0.0003, 0.001, 0.002, 0.003 ], "non_monotonic": true, "rows": [ { "cap": 0.0, "token_count": 26, "token_ratio": 1.0, "jaccard": 1.0, "centroid_distance": 0.0, "max_velocity_ratio": 0.0, "latent_delta_over_baseline": 0.0, "latent_cosine": 1.0000033378601074, "empty_support": false }, { "cap": 1e-06, "token_count": 0, "token_ratio": 0.0, "jaccard": 0.0, "centroid_distance": null, "max_velocity_ratio": 1.0005863941842108e-06, "latent_delta_over_baseline": 0.9960605036786131, "latent_cosine": 0.08867639303207397, "empty_support": true }, { "cap": 3e-06, "token_count": 299, "token_ratio": 11.5, "jaccard": 0.0, "centroid_distance": 13.460754978342534, "max_velocity_ratio": 3.000152446475113e-06, "latent_delta_over_baseline": 2.7963447840107176, "latent_cosine": 0.0020764432847499847, "empty_support": false }, { "cap": 1e-05, "token_count": 296, "token_ratio": 11.384615384615385, "jaccard": 0.0, "centroid_distance": 13.434627142748724, "max_velocity_ratio": 1.000012161966879e-05, "latent_delta_over_baseline": 2.782317104642063, "latent_cosine": 0.0020554403308779, "empty_support": false }, { "cap": 3e-05, "token_count": 311, "token_ratio": 11.961538461538462, "jaccard": 0.0, "centroid_distance": 13.196282159038292, "max_velocity_ratio": 3.0000173865118995e-05, "latent_delta_over_baseline": 2.8361144110632597, "latent_cosine": 0.002197502413764596, "empty_support": false }, { "cap": 0.0001, "token_count": 246, "token_ratio": 9.461538461538462, "jaccard": 0.0, "centroid_distance": 12.416175167730117, "max_velocity_ratio": 0.00010000000474974513, "latent_delta_over_baseline": 2.63867342034155, "latent_cosine": 0.0032145606819540262, "empty_support": false }, { "cap": 0.0003, "token_count": 0, "token_ratio": 0.0, "jaccard": 0.0, "centroid_distance": null, "max_velocity_ratio": 0.0002999992575496435, "latent_delta_over_baseline": 0.9964099688874285, "latent_cosine": 0.08474679291248322, "empty_support": true }, { "cap": 0.001, "token_count": 0, "token_ratio": 0.0, "jaccard": 0.0, "centroid_distance": null, "max_velocity_ratio": 0.000999997602775693, "latent_delta_over_baseline": 0.9962804390883356, "latent_cosine": 0.08620655536651611, "empty_support": true }, { "cap": 0.002, "token_count": 0, "token_ratio": 0.0, "jaccard": 0.0, "centroid_distance": null, "max_velocity_ratio": 0.0019999947398900986, "latent_delta_over_baseline": 0.9970162832883018, "latent_cosine": 0.07790021598339081, "empty_support": true }, { "cap": 0.003, "token_count": 26, "token_ratio": 1.0, "jaccard": 1.0, "centroid_distance": 0.0, "max_velocity_ratio": 0.002999995369464159, "latent_delta_over_baseline": 0.08244623518654888, "latent_cosine": 0.9966138005256653, "empty_support": false } ], "process_wall_sec": 181.51914208196104, "command_wall_sec": 194.08, "cpu_rss_peak_kib": 25434672, "peak_reserved_bytes": 8097103872, "external_peak_vram_mib": 8416, "decision": "A single-case apparent pass at cap 0.003 was not accepted as a training cap because behavior was highly non-monotonic and previous single-case tuning did not generalize." }, "multi_case_gate": { "num_cases": 3, "caps": [ 0.0, 1e-06, 0.0001, 0.001, 0.003 ], "selected_training_cap": null, "gate_rows": [ { "cap": 0.0, "failures": [], "num_cases": 3, "passed": true }, { "cap": 1e-06, "failures": [ { "case_id": "gso_000_input4", "reasons": [ "token_ratio", "jaccard", "centroid_distance" ] }, { "case_id": "gso_002_input4", "reasons": [ "centroid_distance" ] } ], "num_cases": 3, "passed": false }, { "cap": 0.0001, "failures": [ { "case_id": "gso_000_input4", "reasons": [ "token_ratio", "jaccard", "centroid_distance" ] } ], "num_cases": 3, "passed": false }, { "cap": 0.001, "failures": [ { "case_id": "gso_000_input4", "reasons": [ "empty_support", "token_ratio", "jaccard", "centroid_distance" ] }, { "case_id": "gso_002_input4", "reasons": [ "jaccard", "centroid_distance" ] } ], "num_cases": 3, "passed": false }, { "cap": 0.003, "failures": [ { "case_id": "gso_000_input4", "reasons": [ "jaccard", "centroid_distance" ] }, { "case_id": "gso_002_input4", "reasons": [ "centroid_distance" ] } ], "num_cases": 3, "passed": false } ], "cases": [ { "case_id": "gso_000_input4", "cap": 1e-06, "token_ratio": 12.73076923076923, "jaccard": 0.0, "centroid_distance": 13.472762044718527, "max_velocity_ratio": 1.0006208412960405e-06, "latent_delta_over_baseline": 2.8427202097763833, "latent_cosine": 0.002360910875722766, "empty_support": false }, { "case_id": "gso_001_input4", "cap": 1e-06, "token_ratio": 0.994061757719715, "jaccard": 0.994061757719715, "centroid_distance": 0.038580159478819605, "max_velocity_ratio": 1.0004933983509545e-06, "latent_delta_over_baseline": 0.04008639964290876, "latent_cosine": 0.9992031455039978, "empty_support": false }, { "case_id": "gso_002_input4", "cap": 1e-06, "token_ratio": 1.1083711875405582, "jaccard": 0.7286512370311253, "centroid_distance": 2.5257199973072275, "max_velocity_ratio": 1.000553197627596e-06, "latent_delta_over_baseline": 0.6707261429789791, "latent_cosine": 0.7836790084838867, "empty_support": false } ], "process_wall_sec": 237.17872444866225, "command_wall_sec": 249.4, "cpu_rss_peak_kib": 25435680, "peak_allocated_bytes": 8044596736, "peak_reserved_bytes": 8097103872, "external_peak_vram_mib": 8456, "decision": "failed" }, "conclusion": "A hard local relative-RMS velocity cap is insufficient: every limited step obeyed its bound, but recurrent evaluation on the diverged state amplified tiny corrections and produced catastrophic final latent/support drift on some objects.", "decision": "Do not train v3 with a constant local velocity cap. Next constrain cumulative state/predicted-x0 displacement or decoder occupancy/support, with multi-case gating before training.", "pending": "Watertight extraction and protocol-2/4/6/8 100-case evaluation remain incomplete." }, "cumulative_state_anchor_v4": { "design": "Maintain an exact uniform multidiffusion shadow trajectory and project every corrected Euler next-state into an absolute-plus-relative RMS radius around the shadow next-state.", "contract": "rms(x_safe_next-x_base_next) <= abs_cap + rel_cap*rms(x_base_next)", "implementation": { "adapter_version": "cumulative_state_anchor_v4", "sparse_mode": "vggt_state_anchor", "independent_cfg_for_shadow_and_candidate": true, "effective_velocity_consistent_with_projected_next_state": true, "shape_and_texture_mode": "multidiffusion" }, "cap0_parity": { "case_id": "gso_000_input4", "uniform_tokens": 26, "adapter_tokens": 26, "initial_noise_exact_equal": true, "shadow_exact_all": true, "all_latent_states_exact": true, "coordinates_exact_equal": true, "max_shadow_delta_rms": 0.0, "process_wall_sec": 106.23598851636052, "command_wall_sec": 118.85, "cpu_rss_peak_kib": 25437140, "peak_allocated_bytes": 8044072448, "peak_reserved_bytes": 8097103872, "external_peak_vram_mib": 8416, "gate_passed": true }, "single_case_sweep": { "caps": [ 0.0, 1e-05, 3e-05, 0.0001, 0.0003, 0.001, 0.003, 0.01, 0.03, 0.1 ], "largest_cap": 0.1, "cap01_tokens": 25, "cap01_token_ratio": 0.9615384615384616, "cap01_jaccard": 0.9615384615384616, "cap01_centroid_distance": 0.10376349987026134, "cap01_final_latent_delta_over_uniform": 0.09999998204045021, "process_wall_sec": 188.08422218216583, "command_wall_sec": 200.48, "cpu_rss_peak_kib": 25436548, "peak_reserved_bytes": 8097103872, "external_peak_vram_mib": 8416, "gate_passed": true }, "multi_case_gate": { "num_cases": 3, "caps": [ 0.0, 0.003, 0.01, 0.03, 0.1 ], "selected_training_cap": 0.1, "gate_rows": [ { "failures": [], "num_cases": 3, "passed": true, "rel_cap": 0.0 }, { "failures": [], "num_cases": 3, "passed": true, "rel_cap": 0.003 }, { "failures": [], "num_cases": 3, "passed": true, "rel_cap": 0.01 }, { "failures": [], "num_cases": 3, "passed": true, "rel_cap": 0.03 }, { "failures": [], "num_cases": 3, "passed": true, "rel_cap": 0.1 } ], "cases": [ { "case_id": "gso_000_input4", "rel_cap": 0.1, "shadow_exact_all": true, "max_shadow_delta_rms": 0.0, "max_projected_state_ratio": 0.09999999403953552, "final_latent_delta_over_uniform": 0.09999999585548851, "final_latent_cosine": 0.9975513219833374, "token_count": 25, "token_ratio": 0.9615384615384616, "jaccard": 0.9615384615384616, "centroid_distance": 0.10376349987026134, "exact_coordinate_equal": false, "empty_support": false }, { "case_id": "gso_001_input4", "rel_cap": 0.1, "shadow_exact_all": true, "max_shadow_delta_rms": 0.0, "max_projected_state_ratio": 0.03768792003393173, "final_latent_delta_over_uniform": 0.03768791888945421, "final_latent_cosine": 0.9992963075637817, "token_count": 837, 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"docs/superpowers/specs/2026-07-19-trellis2-vggt-decoder-aware-watertight-v5-design.md", "selected_approach": "decoder-aware occupancy training plus deterministic o-voxel watertight remeshing", "motivation": "v4 state safety did not improve same-case Chamfer, F@5, or edge topology", "baseline_targets": { "trellis2_watertight_rates": { "2": 0.0, "4": 0.0, "6": 0.0, "8": 0.0 }, "trellis_watertight_rates": { "2": 0.87, "4": 0.9, "6": 0.91, "8": 0.88 }, "reconviagen_watertight_rates": { "2": 0.85, "4": 0.86, "6": 0.86, "8": 0.88 } }, "loss_weights": { "state_loss_weight": 1.0, "occ_bce_weight": 0.25, "occ_dice_weight": 0.5, "band_weight": 0.25, "vggt_point_weight": 0.05 }, "frozen_modules": [ "sparse_structure_flow_model", "sparse_structure_decoder", "DINOv3", "VGGT" ], "trainable_modules": [ "VGGTSpatialAdapter" ], "watertight_extractor": "o-voxel narrow-band dual-contouring remesh", "gates": [ "objective TDD", "one-step GPU smoke", "100-step pilot", "fixed three-case state+occupancy gate", "same-case raw/watertight geometry gate", "fixed protocol-4 ten-case matrix", "protocol-2/4/6/8 all100 evaluation" ], "decision": "v5 100-step pilot completed with finite gradients and state cap, but empty/near-empty decoded occupancy appeared during training. Do not generate meshes; run or strengthen fixed three-case occupancy gate before Gate E.", "pending": "Run fixed three-case v5 occupancy/state gate for checkpoints 25/50/100, or tune decoder occupancy weights if empty/full occupancy recurs.", "implementation": { "trainer": "experiments/nonorthogonal_gpt_orthoview/train_trellis2_vggt_decoder_aware.py", "tests": "experiments/nonorthogonal_gpt_orthoview/tests/test_train_trellis2_vggt_decoder_aware.py", "plan": "docs/superpowers/plans/2026-07-19-trellis2-vggt-decoder-aware-watertight-v5.md", "corrected_x0_formula": "x0_hat=(1-sigma_min)*x_t-(sigma_min+(1-sigma_min)*t)*velocity", "sparse_decoder_checkpoint": "microsoft/TRELLIS-image-large/ckpts/ss_dec_conv3d_16l8_fp16" }, "training_smoke1": { "gate_passed": true, "steps": 1, "accumulation": 1, "seed": 1, "loss": 13.903753280639648, "flow_loss": 0.16239741444587708, "state_loss": 0.00023432621674146503, "decoder_occ_loss": 13.741121292114258, "occ_bce": 48.562469482421875, "occ_dice": 0.5123288631439209, "surface_band": 5.377357006072998, "vggt_point_loss": 0.0, "gradient_norm": 54.80141830444336, "max_final_state_ratio": 0.0010442831553518772, "decoded_occupancy_fraction": 0.061252593994140625, "frozen_models_no_grad": true, "checkpoint_reload_passed": true, "peak_allocated_bytes": 19837789696, "peak_reserved_bytes": 20306722816, "external_peak_vram_mib": 20139, "command_wall_sec": 34.63, "cpu_rss_peak_kib": 11026380, "checkpoint": "experiments/nonorthogonal_gpt_orthoview/outputs/data_survey/vggt_spatial_adapter/decoder_aware_watertight_v5/training_smoke1/adapter_step_0001.pt", "train_jsonl": "experiments/nonorthogonal_gpt_orthoview/outputs/data_survey/vggt_spatial_adapter/decoder_aware_watertight_v5/training_smoke1/train.jsonl", "command_log": "experiments/nonorthogonal_gpt_orthoview/outputs/data_survey/vggt_spatial_adapter/decoder_aware_watertight_v5/training_smoke1/command.log", "gpu_log": "experiments/nonorthogonal_gpt_orthoview/outputs/data_survey/vggt_spatial_adapter/decoder_aware_watertight_v5/training_smoke1/gpu.csv", "notes": [ "first attempt failed because default sparse decoder path used a nonexistent TRELLIS.2-4B suffix; fixed to the pipeline reference microsoft/TRELLIS-image-large/ckpts/ss_dec_conv3d_16l8_fp16", "second attempt failed because surface-band BCE used probability BCE under CUDA autocast; fixed to weighted BCE-with-logits" ] }, "training_smoke100": { "gate_passed": false, "state_cap_passed": true, "optimizer_steps": 100, "gradient_nonzero_steps": 100, "loss_first": 13.92864990234375, "loss_last": 4.190113544464111, "loss_mean": 7.6839111090754155, "decoder_occ_loss_first": 13.76580810546875, "decoder_occ_loss_last": 3.8011791706085205, "decoder_occ_loss_mean": 7.558234694203675, "state_loss_mean": 0.005107340901013231, "occ_bce_last": 9.570695877075195, "occ_dice_last": 0.3069475293159485, "surface_band_last": 5.020125389099121, "max_final_state_ratio": 0.07163263112306595, "occupancy_fraction_min": 0.0, "occupancy_fraction_max": 0.11122512817382812, "empty_occupancy_steps": [ 96 ], "near_empty_occupancy_steps": [ 57, 96 ], "gate_first": 0.0007879947079345584, "gate_last": 0.002643143991008401, "peak_reserved_bytes": 25648168960, "external_peak_vram_mib": 25235, "command_wall_sec": 329.97, "cpu_rss_peak_kib": 11030932, "checkpoint_steps": [ 1, 25, 50, 100 ], "output": "experiments/nonorthogonal_gpt_orthoview/outputs/data_survey/vggt_spatial_adapter/decoder_aware_watertight_v5/training", "train_jsonl": "experiments/nonorthogonal_gpt_orthoview/outputs/data_survey/vggt_spatial_adapter/decoder_aware_watertight_v5/training/train.jsonl", "command_log": "experiments/nonorthogonal_gpt_orthoview/outputs/data_survey/vggt_spatial_adapter/decoder_aware_watertight_v5/training/command.log", "gpu_log": "experiments/nonorthogonal_gpt_orthoview/outputs/data_survey/vggt_spatial_adapter/decoder_aware_watertight_v5/training/gpu.csv", "decision": "Do not generate mesh until fixed three-case occupancy gate confirms no empty/full decoded occupancy; pilot had empty decoded occupancy at step 96 and near-empty at steps 57/96." }, "post_training_occupancy_gates": { "selected_checkpoint_step": null, "all_state_passed": true, "any_gate_passed": false, "decision": "No v5 checkpoint passed the fixed three-case occupancy improvement gate; do not generate raw or watertight meshes.", "checkpoints": [ { "checkpoint_step": 25, "gate_passed": false, "state_passed": true, "occupancy_iou_improved_cases": 0, "collapse_case_count": 0, "min_jaccard_delta": 0.0, "min_occupancy_iou_delta": 0.0 }, { "checkpoint_step": 50, "gate_passed": false, "state_passed": true, "occupancy_iou_improved_cases": 0, "collapse_case_count": 0, "min_jaccard_delta": 0.0, "min_occupancy_iou_delta": 0.0 }, { "checkpoint_step": 100, "gate_passed": false, "state_passed": true, "occupancy_iou_improved_cases": 0, "collapse_case_count": 0, "min_jaccard_delta": 0.0, "min_occupancy_iou_delta": 0.0 } ] } }, "conclusion": "Cumulative state projection fixes v3 recurrent amplification on the fixed three-case smoke. rel_cap 0.1 permits controlled latent/support changes while preserving high overlap and exact shadow parity.", "decision": "Checkpoint 50 failed the preregistered same-case geometry gate. 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