Update logbook: Reproduction: A Random Matrix Theory Perspective on the Consistency of Diffusion Models

logbook.json

@@ -10,7 +10,7 @@
     "icml2026-repro",
     "paper-iPjuUQbkfl"
   ],
-  "updated_at": "2026-08-01T21:05:59+00:00",
+  "updated_at": "2026-08-01T22:37:29+00:00",
   "root": {
     "slug": "index",
     "title": "Reproduction: A Random Matrix Theory Perspective on the Consistency of Diffusion Models",
@@ -76,5 +76,5 @@
   "agent_view_tokens": 3154,
   "trace_view_tokens": 10,
   "workspace_view_tokens": 8,
-  "revision": "b29ffff956816aa73ea9"
+  "revision": "54c5a6717fa0e2517d34"
 }

pages/claim-1-linear-model-predicts-cross-split-consistency/page.md

@@ -3,13 +3,13 @@
 
 ---
 <!-- trackio-cell
-{"type": "code", "id": "cell_a0cec5778e2f", "created_at": "2026-08-01T20:54:40+00:00", "title": "Run: hf rmt_diffusion_claim1.py (exit 0)", "command": ["hf", "jobs", "uv", "run", "--flavor", "cpu-basic", "--secrets", "HF_TOKEN", "rmt_diffusion_claim1.py"], "exit_code": 0, "duration_s": 40.896}
+{"type": "code", "id": "cell_ebe60bbba6d7", "created_at": "2026-08-01T22:25:26+00:00", "title": "Run: hf rmt_diffusion_claim1.py (exit 0)", "command": ["hf", "jobs", "uv", "run", "--flavor", "cpu-basic", "--secrets", "HF_TOKEN", "rmt_diffusion_claim1.py"], "exit_code": 0, "duration_s": 43.926}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim1.py
 ````
 
-exit 0 · 40.9s
+exit 0 · 43.9s
 
 
 ````python title=rmt_diffusion_claim1.py
@@ -188,30 +188,30 @@ if __name__ == "__main__":
 ````output
 /usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_experimental.py:59: UserWarning: 'HfApi.run_uv_job' is experimental and might be subject to breaking changes in the future without prior notice. You can disable this warning by setting `HF_HUB_DISABLE_EXPERIMENTAL_WARNING=1` as environment variable.
   warnings.warn(
-Job started with ID: 6a6e5ce86b79c09949c1eafb
-View at: https://huggingface.co/jobs/byte-vortex/6a6e5ce86b79c09949c1eafb
-Downloading numpy (15.9MiB)
-Downloading nvidia-cuda-cupti (10.2MiB)
-Downloading sympy (6.0MiB)
-Downloading nvidia-cufft (204.2MiB)
-Downloading nvidia-nvjitlink (38.9MiB)
-Downloading networkx (2.0MiB)
-Downloading nvidia-cudnn-cu13 (349.2MiB)
-Downloading cuda-bindings (6.3MiB)
+Job started with ID: 6a6e722b6b79c09949c1ec91
+View at: https://huggingface.co/jobs/byte-vortex/6a6e722b6b79c09949c1ec91
 Downloading nvidia-cusolver (191.6MiB)
-Downloading nvidia-cusparselt-cu13 (162.3MiB)
-Downloading pillow (6.6MiB)
-Downloading triton (188.6MiB)
 Downloading nvidia-cuda-nvrtc (86.0MiB)
-Downloading torch (502.2MiB)
+Downloading networkx (2.0MiB)
+Downloading numpy (15.9MiB)
 Downloading nvidia-cuda-runtime (2.1MiB)
 Downloading nvidia-cufile (1.2MiB)
+Downloading nvidia-nvjitlink (38.9MiB)
 Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading cuda-bindings (6.3MiB)
 Downloading nvidia-nccl-cu13 (196.4MiB)
-Downloading nvidia-cublas (403.5MiB)
-Downloading nvidia-cusparse (139.2MiB)
+Downloading nvidia-cuda-cupti (10.2MiB)
+Downloading sympy (6.0MiB)
 Downloading nvidia-curand (56.8MiB)
+Downloading nvidia-cufft (204.2MiB)
+Downloading nvidia-cusparse (139.2MiB)
+Downloading nvidia-cusparselt-cu13 (162.3MiB)
+Downloading pillow (6.6MiB)
 Downloading torchvision (7.3MiB)
+Downloading triton (188.6MiB)
+Downloading nvidia-cublas (403.5MiB)
+Downloading torch (502.2MiB)
+Downloading nvidia-cudnn-cu13 (349.2MiB)
  Downloaded nvidia-cufile
  Downloaded nvidia-cuda-runtime
  Downloaded networkx
@@ -229,12 +229,12 @@ Downloading torchvision (7.3MiB)
  Downloaded nvidia-cusparselt-cu13
  Downloaded nvidia-cusolver
  Downloaded nvidia-nccl-cu13
- Downloaded triton
  Downloaded nvidia-cufft
+ Downloaded triton
  Downloaded nvidia-cudnn-cu13
  Downloaded nvidia-cublas
  Downloaded torch
-Installed 32 packages in 235ms
+Installed 32 packages in 228ms
 ======================================================================
 RMT Diffusion Consistency reproduction -- Claim 1
 Testing: linear closed-form denoiser predicts cross-split
@@ -606,12 +606,12 @@ Using REAL MNIST data (16x16 downsampled, flattened, d=256).
 Dataset: 4000 samples, 256 dims, split into 2000 / 2000
 
 [Results over 100 shared-seed trials]
-  Cross-split distance (same seed, different training data): 0.344 +/- 0.046
-  Nearest-training-neighbor distance (memorization check):   2.650 +/- 0.333
+  Cross-split distance (same seed, different training data): 0.357 +/- 0.048
+  Nearest-training-neighbor distance (memorization check):   2.651 +/- 0.334
 
 ======================================================================
 SUMMARY
-  PASS: cross-split outputs are 7.69x MORE similar to each
+  PASS: cross-split outputs are 7.42x MORE similar to each
   other than to their own nearest training example.
   This supports the paper's Claim 1: a purely linear, closed-form
   model already predicts strong cross-split consistency, without

pages/claim-2-self-consistency-equation-and-renormalized-noise/page.md

@@ -3,13 +3,13 @@
 
 ---
 <!-- trackio-cell
-{"type": "code", "id": "cell_13add7472b7b", "created_at": "2026-08-01T20:56:33+00:00", "title": "Run: hf rmt_diffusion_claim2.py (exit 0)", "command": ["hf", "jobs", "uv", "run", "--flavor", "cpu-basic", "--secrets", "HF_TOKEN", "rmt_diffusion_claim2.py"], "exit_code": 0, "duration_s": 110.886}
+{"type": "code", "id": "cell_c04792568a82", "created_at": "2026-08-01T22:27:04+00:00", "title": "Run: hf rmt_diffusion_claim2.py (exit 0)", "command": ["hf", "jobs", "uv", "run", "--flavor", "cpu-basic", "--secrets", "HF_TOKEN", "rmt_diffusion_claim2.py"], "exit_code": 0, "duration_s": 96.287}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim2.py
 ````
 
-exit 0 · 110.9s
+exit 0 · 96.3s
 
 
 ````python title=rmt_diffusion_claim2.py
@@ -142,11 +142,11 @@ if __name__ == "__main__":
 ````output
 /usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_experimental.py:59: UserWarning: 'HfApi.run_uv_job' is experimental and might be subject to breaking changes in the future without prior notice. You can disable this warning by setting `HF_HUB_DISABLE_EXPERIMENTAL_WARNING=1` as environment variable.
   warnings.warn(
-Job started with ID: 6a6e5d136b79c09949c1eb01
-View at: https://huggingface.co/jobs/byte-vortex/6a6e5d136b79c09949c1eb01
+Job started with ID: 6a6e7259a00abefd4b28c32e
+View at: https://huggingface.co/jobs/byte-vortex/6a6e7259a00abefd4b28c32e
 Downloading numpy (15.9MiB)
  Downloaded numpy
-Installed 1 package in 16ms
+Installed 1 package in 15ms
 ======================================================================
 RMT Diffusion Consistency reproduction -- Claim 2
 Testing Proposition 4.1: sigma^2 -> kappa(sigma^2) renormalization

pages/claim-3-variance-factorization-anisotropy-x-inhomogeneity/page.md

@@ -3,13 +3,13 @@
 
 ---
 <!-- trackio-cell
-{"type": "code", "id": "cell_889018733e36", "created_at": "2026-08-01T20:57:23+00:00", "title": "Run: hf rmt_diffusion_claim3.py (exit 0)", "command": ["hf", "jobs", "uv", "run", "--flavor", "cpu-basic", "--secrets", "HF_TOKEN", "rmt_diffusion_claim3.py"], "exit_code": 0, "duration_s": 47.165}
+{"type": "code", "id": "cell_b8f1a2d58c2a", "created_at": "2026-08-01T22:28:52+00:00", "title": "Run: hf rmt_diffusion_claim3.py (exit 0)", "command": ["hf", "jobs", "uv", "run", "--flavor", "cpu-basic", "--secrets", "HF_TOKEN", "rmt_diffusion_claim3.py"], "exit_code": 0, "duration_s": 105.623}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim3.py
 ````
 
-exit 0 · 47.2s
+exit 0 · 105.6s
 
 
 ````python title=rmt_diffusion_claim3.py
@@ -126,8 +126,8 @@ if __name__ == "__main__":
 ````output
 /usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_experimental.py:59: UserWarning: 'HfApi.run_uv_job' is experimental and might be subject to breaking changes in the future without prior notice. You can disable this warning by setting `HF_HUB_DISABLE_EXPERIMENTAL_WARNING=1` as environment variable.
   warnings.warn(
-Job started with ID: 6a6e5d84a00abefd4b28c0e4
-View at: https://huggingface.co/jobs/byte-vortex/6a6e5d84a00abefd4b28c0e4
+Job started with ID: 6a6e72bb6b79c09949c1ec97
+View at: https://huggingface.co/jobs/byte-vortex/6a6e72bb6b79c09949c1ec97
 Downloading numpy (15.9MiB)
  Downloaded numpy
 Installed 1 package in 16ms

pages/claim-4-fractional-matrix-power-extension-to-sampling-trajectories/page.md

@@ -3,13 +3,13 @@
 
 ---
 <!-- trackio-cell
-{"type": "code", "id": "cell_897d87a9e87b", "created_at": "2026-08-01T20:57:41+00:00", "title": "Run: hf rmt_diffusion_claim4.py (exit 0)", "command": ["hf", "jobs", "uv", "run", "--flavor", "cpu-basic", "--secrets", "HF_TOKEN", "rmt_diffusion_claim4.py"], "exit_code": 0, "duration_s": 15.882}
+{"type": "code", "id": "cell_a6e5732231f1", "created_at": "2026-08-01T22:29:10+00:00", "title": "Run: hf rmt_diffusion_claim4.py (exit 0)", "command": ["hf", "jobs", "uv", "run", "--flavor", "cpu-basic", "--secrets", "HF_TOKEN", "rmt_diffusion_claim4.py"], "exit_code": 0, "duration_s": 16.497}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim4.py
 ````
 
-exit 0 · 15.9s
+exit 0 · 16.5s
 
 
 ````python title=rmt_diffusion_claim4.py
@@ -233,8 +233,8 @@ if __name__ == "__main__":
 ````output
 /usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_experimental.py:59: UserWarning: 'HfApi.run_uv_job' is experimental and might be subject to breaking changes in the future without prior notice. You can disable this warning by setting `HF_HUB_DISABLE_EXPERIMENTAL_WARNING=1` as environment variable.
   warnings.warn(
-Job started with ID: 6a6e5db66b79c09949c1eb09
-View at: https://huggingface.co/jobs/byte-vortex/6a6e5db66b79c09949c1eb09
+Job started with ID: 6a6e73276b79c09949c1ec9c
+View at: https://huggingface.co/jobs/byte-vortex/6a6e73276b79c09949c1ec9c
 Downloading numpy (15.9MiB)
  Downloaded numpy
 Installed 1 package in 16ms

pages/claim-5-deep-network-validation-toy-scale/page.md

@@ -3,13 +3,13 @@
 
 ---
 <!-- trackio-cell
-{"type": "code", "id": "cell_bfef2b3ac46a", "created_at": "2026-08-01T21:00:32+00:00", "title": "Run: hf rmt_diffusion_claim5.py (exit 0)", "command": ["hf", "jobs", "uv", "run", "--flavor", "a10g-small", "--secrets", "HF_TOKEN", "rmt_diffusion_claim5.py"], "exit_code": 0, "duration_s": 169.518}
+{"type": "code", "id": "cell_36b1149007c3", "created_at": "2026-08-01T22:32:02+00:00", "title": "Run: hf rmt_diffusion_claim5.py (exit 0)", "command": ["hf", "jobs", "uv", "run", "--flavor", "a10g-small", "--secrets", "HF_TOKEN", "rmt_diffusion_claim5.py"], "exit_code": 0, "duration_s": 169.787}
 -->
 ````bash
 $ hf jobs uv run --flavor a10g-small --secrets HF_TOKEN rmt_diffusion_claim5.py
 ````
 
-exit 0 · 169.5s
+exit 0 · 169.8s
 
 
 ````python title=rmt_diffusion_claim5.py
@@ -207,30 +207,30 @@ if __name__ == "__main__":
 ````output
 /usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_experimental.py:59: UserWarning: 'HfApi.run_uv_job' is experimental and might be subject to breaking changes in the future without prior notice. You can disable this warning by setting `HF_HUB_DISABLE_EXPERIMENTAL_WARNING=1` as environment variable.
   warnings.warn(
-Job started with ID: 6a6e5dc8a00abefd4b28c0e6
-View at: https://huggingface.co/jobs/byte-vortex/6a6e5dc8a00abefd4b28c0e6
-Downloading nvidia-cufile (1.2MiB)
-Downloading nvidia-cudnn-cu13 (349.2MiB)
-Downloading nvidia-curand (56.8MiB)
-Downloading nvidia-cuda-nvrtc (86.0MiB)
+Job started with ID: 6a6e7339a00abefd4b28c339
+View at: https://huggingface.co/jobs/byte-vortex/6a6e7339a00abefd4b28c339
+Downloading sympy (6.0MiB)
 Downloading numpy (15.9MiB)
 Downloading nvidia-cusparselt-cu13 (162.3MiB)
-Downloading nvidia-nvjitlink (38.9MiB)
-Downloading nvidia-cuda-cupti (10.2MiB)
 Downloading cuda-bindings (6.3MiB)
-Downloading nvidia-cufft (204.2MiB)
-Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading nvidia-nvjitlink (38.9MiB)
+Downloading nvidia-nccl-cu13 (196.4MiB)
+Downloading nvidia-cuda-nvrtc (86.0MiB)
 Downloading nvidia-cusparse (139.2MiB)
+Downloading nvidia-cuda-runtime (2.1MiB)
+Downloading nvidia-cuda-cupti (10.2MiB)
+Downloading nvidia-cudnn-cu13 (349.2MiB)
 Downloading torch (502.2MiB)
-Downloading nvidia-cublas (403.5MiB)
-Downloading nvidia-cusolver (191.6MiB)
-Downloading sympy (6.0MiB)
-Downloading nvidia-nccl-cu13 (196.4MiB)
-Downloading triton (188.6MiB)
 Downloading networkx (2.0MiB)
-Downloading pillow (6.6MiB)
-Downloading nvidia-cuda-runtime (2.1MiB)
+Downloading triton (188.6MiB)
+Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading nvidia-cusolver (191.6MiB)
+Downloading nvidia-cufile (1.2MiB)
 Downloading torchvision (7.3MiB)
+Downloading nvidia-curand (56.8MiB)
+Downloading nvidia-cublas (403.5MiB)
+Downloading pillow (6.6MiB)
+Downloading nvidia-cufft (204.2MiB)
  Downloaded nvidia-cufile
  Downloaded nvidia-cuda-runtime
  Downloaded networkx
@@ -239,8 +239,8 @@ Downloading torchvision (7.3MiB)
  Downloaded torchvision
  Downloaded nvidia-cuda-cupti
  Downloaded numpy
- Downloaded sympy
  Downloaded nvidia-nvjitlink
+ Downloaded sympy
  Downloaded nvidia-curand
  Downloaded nvidia-nvshmem-cu13
  Downloaded nvidia-cuda-nvrtc
@@ -253,7 +253,7 @@ Downloading torchvision (7.3MiB)
  Downloaded nvidia-cudnn-cu13
  Downloaded nvidia-cublas
  Downloaded torch
-Installed 32 packages in 601ms
+Installed 32 packages in 668ms
 ======================================================================
 RMT Diffusion Consistency reproduction -- Claim 5 (toy scale)
 Testing: do REAL TRAINED deep denoisers show the same
@@ -624,22 +624,22 @@ Using REAL MNIST data (14x14 downsampled, d=196).
 Split sizes: 400 / 400
 
 Training MLP denoiser on split A (400 samples)...
-    step 500/1500  loss=0.5923
-    step 1000/1500  loss=0.4806
+    step 500/1500  loss=0.5875
+    step 1000/1500  loss=0.4851
     step 1500/1500  loss=0.3555
 Training MLP denoiser on split B (400 samples)...
-    step 500/1500  loss=0.5559
-    step 1000/1500  loss=0.4497
-    step 1500/1500  loss=0.3706
+    step 500/1500  loss=0.5614
+    step 1000/1500  loss=0.4500
+    step 1500/1500  loss=0.3717
 
 [Results over 30 shared-seed trials, TRAINED deep MLP denoisers]
-  Cross-split distance:            7.284 +/- 1.358
-  Nearest-training-neighbor dist:  15.879 +/- 2.446
+  Cross-split distance:            7.158 +/- 0.911
+  Nearest-training-neighbor dist:  15.957 +/- 2.329
 
 ======================================================================
 SUMMARY
   PASS (toy scale): trained deep MLP denoisers show cross-split outputs
-  2.18x MORE similar to each other than to their nearest training
+  2.23x MORE similar to each other than to their nearest training
   example -- the same qualitative pattern the linear theory (Claim 1)
   predicts, now confirmed with REAL TRAINED nonlinear networks, not
   just the closed-form linear denoiser. Supports Claim 5 at toy scale.

pages/claim-6-deep-network-validation-scoped-toy-scale-cifar10-only/page.md

@@ -3,13 +3,13 @@
 
 ---
 <!-- trackio-cell
-{"type": "code", "id": "cell_ed109f32162a", "created_at": "2026-08-01T21:05:57+00:00", "title": "Run: hf rmt_diffusion_claim6.py (exit 0)", "command": ["hf", "jobs", "uv", "run", "--flavor", "a10g-small", "--timeout", "3600", "--secrets", "HF_TOKEN", "rmt_diffusion_claim6.py"], "exit_code": 0, "duration_s": 322.114}
+{"type": "code", "id": "cell_9db6a1472e76", "created_at": "2026-08-01T22:37:27+00:00", "title": "Run: hf rmt_diffusion_claim6.py (exit 0)", "command": ["hf", "jobs", "uv", "run", "--flavor", "a10g-small", "--timeout", "3600", "--secrets", "HF_TOKEN", "rmt_diffusion_claim6.py"], "exit_code": 0, "duration_s": 322.502}
 -->
 ````bash
 $ hf jobs uv run --flavor a10g-small --timeout 3600 --secrets HF_TOKEN rmt_diffusion_claim6.py
 ````
 
-exit 0 · 322.1s
+exit 0 · 322.5s
 
 
 ````python title=rmt_diffusion_claim6.py
@@ -489,30 +489,30 @@ if __name__ == "__main__":
 ````output
 /usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_experimental.py:59: UserWarning: 'HfApi.run_uv_job' is experimental and might be subject to breaking changes in the future without prior notice. You can disable this warning by setting `HF_HUB_DISABLE_EXPERIMENTAL_WARNING=1` as environment variable.
   warnings.warn(
-Job started with ID: 6a6e5e746b79c09949c1eb1d
-View at: https://huggingface.co/jobs/byte-vortex/6a6e5e746b79c09949c1eb1d
-Downloading nvidia-cusparselt-cu13 (162.3MiB)
-Downloading nvidia-cusparse (139.2MiB)
+Job started with ID: 6a6e73e56b79c09949c1eca6
+View at: https://huggingface.co/jobs/byte-vortex/6a6e73e56b79c09949c1eca6
+Downloading cuda-bindings (6.3MiB)
 Downloading nvidia-cuda-runtime (2.1MiB)
-Downloading networkx (2.0MiB)
+Downloading sympy (6.0MiB)
 Downloading nvidia-cufile (1.2MiB)
-Downloading triton (188.6MiB)
-Downloading numpy (15.9MiB)
-Downloading torchvision (7.3MiB)
 Downloading nvidia-cuda-nvrtc (86.0MiB)
-Downloading nvidia-nvjitlink (38.9MiB)
-Downloading nvidia-nvshmem-cu13 (57.6MiB)
-Downloading nvidia-cublas (403.5MiB)
 Downloading nvidia-cusolver (191.6MiB)
 Downloading nvidia-cudnn-cu13 (349.2MiB)
 Downloading pillow (6.6MiB)
-Downloading nvidia-curand (56.8MiB)
-Downloading cuda-bindings (6.3MiB)
-Downloading torch (502.2MiB)
+Downloading nvidia-cublas (403.5MiB)
+Downloading nvidia-nvjitlink (38.9MiB)
 Downloading nvidia-cufft (204.2MiB)
 Downloading nvidia-nccl-cu13 (196.4MiB)
 Downloading nvidia-cuda-cupti (10.2MiB)
-Downloading sympy (6.0MiB)
+Downloading numpy (15.9MiB)
+Downloading triton (188.6MiB)
+Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading nvidia-curand (56.8MiB)
+Downloading nvidia-cusparselt-cu13 (162.3MiB)
+Downloading nvidia-cusparse (139.2MiB)
+Downloading networkx (2.0MiB)
+Downloading torch (502.2MiB)
+Downloading torchvision (7.3MiB)
  Downloaded nvidia-cufile
  Downloaded nvidia-cuda-runtime
  Downloaded networkx
@@ -535,7 +535,7 @@ Downloading sympy (6.0MiB)
  Downloaded nvidia-cudnn-cu13
  Downloaded nvidia-cublas
  Downloaded torch
-Installed 32 packages in 562ms
+Installed 32 packages in 608ms
 ======================================================================
 RMT Diffusion Consistency reproduction -- Claim 6 (SCOPED TOY SCALE)
 Testing official Claim 5: consistency vs linear theory,

pages/conclusion/page.md

@@ -3,7 +3,7 @@
 
 ---
 <!-- trackio-cell
-{"type": "markdown", "id": "cell_1ff9eb6e69a3", "created_at": "2026-08-01T21:05:58+00:00", "title": "Conclusion"}
+{"type": "markdown", "id": "cell_d1cf88dca664", "created_at": "2026-08-01T22:37:28+00:00", "title": "Conclusion"}
 -->
 This reproduction verified all 5 claims from the official challenge for "A Random Matrix Perspective on the Consistency of Diffusion Models" (arXiv 2602.02908, ICML 2026 Oral).
 

pages/executive-summary/page.md

@@ -3,7 +3,7 @@
 
 ---
 <!-- trackio-cell
-{"type": "markdown", "id": "cell_f212dfa9c3cc", "created_at": "2026-08-01T20:53:54+00:00", "title": "Executive summary", "pinned": true, "pinned_at": "2026-08-01T20:53:55+00:00"}
+{"type": "markdown", "id": "cell_369c8772e75d", "created_at": "2026-08-01T22:24:38+00:00", "title": "Executive summary", "pinned": true, "pinned_at": "2026-08-01T22:24:38+00:00"}
 -->
 Reproduction of "A Random Matrix Theory Perspective on the Consistency of Diffusion Models" (arXiv 2602.02908), an ICML 2026 ORAL presentation (Wang, Zavatone-Veth, Pehlevan, Harvard University).
 
@@ -29,7 +29,7 @@ All empirical claims were run as real, independently-verifiable Hugging Face Job
 
 ---
 <!-- trackio-cell
-{"type": "figure", "id": "cell_51fdb1764519", "created_at": "2026-08-01T20:53:56+00:00", "title": "Reproduction poster", "pinned": true, "pinned_at": "2026-08-01T20:53:57+00:00"}
+{"type": "figure", "id": "cell_432d2a7dcb11", "created_at": "2026-08-01T22:24:39+00:00", "title": "Reproduction poster", "pinned": true, "pinned_at": "2026-08-01T22:24:40+00:00"}
 -->
 ````html
 <div style="font-family: -apple-system, sans-serif; max-width: 900px; margin: 0 auto; padding: 24px; border: 1px solid #ddd; border-radius: 8px;">

workspace.json

@@ -5,34 +5,34 @@
   "files": [],
   "hub_refs": [
     {
-      "url": "https://huggingface.co/jobs/byte-vortex/6a6e5ce86b79c09949c1eafb",
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