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

logbook.json

@@ -10,7 +10,7 @@
     "icml2026-repro",
     "paper-iPjuUQbkfl"
   ],
-  "updated_at": "2026-08-01T17:16:30+00:00",
+  "updated_at": "2026-08-01T17:36:24+00:00",
   "root": {
     "slug": "index",
     "title": "Reproduction: A Random Matrix Perspective on the Consistency of Diffusion Models",
@@ -76,5 +76,5 @@
   "agent_view_tokens": 3151,
   "trace_view_tokens": 10,
   "workspace_view_tokens": 8,
-  "revision": "d88c05fd721f78f2a24a"
+  "revision": "994253e91e50079e4b64"
 }

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

@@ -3,13 +3,13 @@
 
 ---
 <!-- trackio-cell
-{"type": "code", "id": "cell_69bfaaeac398", "created_at": "2026-08-01T17:07:26+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": 49.949}
+{"type": "code", "id": "cell_38b04135405c", "created_at": "2026-08-01T17:25:57+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": 47.661}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim1.py
 ````
 
-exit 0 · 49.9s
+exit 0 · 47.7s
 
 
 ````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: 6a6e279d6b79c09949c1e76f
-View at: https://huggingface.co/jobs/byte-vortex/6a6e279d6b79c09949c1e76f
-Downloading nvidia-nccl-cu13 (196.4MiB)
-Downloading nvidia-cuda-cupti (10.2MiB)
-Downloading pillow (6.6MiB)
-Downloading nvidia-cuda-runtime (2.1MiB)
-Downloading nvidia-cusparselt-cu13 (162.3MiB)
-Downloading nvidia-cusolver (191.6MiB)
-Downloading nvidia-cufile (1.2MiB)
-Downloading sympy (6.0MiB)
+Job started with ID: 6a6e2bf66b79c09949c1e7a5
+View at: https://huggingface.co/jobs/byte-vortex/6a6e2bf66b79c09949c1e7a5
+Downloading nvidia-cusparse (139.2MiB)
 Downloading numpy (15.9MiB)
-Downloading nvidia-cudnn-cu13 (349.2MiB)
+Downloading sympy (6.0MiB)
+Downloading nvidia-cuda-runtime (2.1MiB)
 Downloading networkx (2.0MiB)
-Downloading nvidia-cublas (403.5MiB)
-Downloading nvidia-cusparse (139.2MiB)
-Downloading nvidia-cufft (204.2MiB)
-Downloading nvidia-cuda-nvrtc (86.0MiB)
-Downloading cuda-bindings (6.3MiB)
-Downloading torchvision (7.3MiB)
-Downloading nvidia-nvjitlink (38.9MiB)
-Downloading triton (188.6MiB)
 Downloading torch (502.2MiB)
+Downloading pillow (6.6MiB)
+Downloading nvidia-cudnn-cu13 (349.2MiB)
 Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading triton (188.6MiB)
 Downloading nvidia-curand (56.8MiB)
+Downloading nvidia-cufile (1.2MiB)
+Downloading nvidia-nvjitlink (38.9MiB)
+Downloading nvidia-cuda-nvrtc (86.0MiB)
+Downloading cuda-bindings (6.3MiB)
+Downloading nvidia-cuda-cupti (10.2MiB)
+Downloading nvidia-nccl-cu13 (196.4MiB)
+Downloading nvidia-cusparselt-cu13 (162.3MiB)
+Downloading torchvision (7.3MiB)
+Downloading nvidia-cusolver (191.6MiB)
+Downloading nvidia-cublas (403.5MiB)
+Downloading nvidia-cufft (204.2MiB)
  Downloaded nvidia-cufile
  Downloaded nvidia-cuda-runtime
  Downloaded networkx
@@ -234,7 +234,7 @@ Downloading nvidia-curand (56.8MiB)
  Downloaded nvidia-cudnn-cu13
  Downloaded nvidia-cublas
  Downloaded torch
-Installed 32 packages in 253ms
+Installed 32 packages in 248ms
 ======================================================================
 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): 0.379 +/- 0.050
-  Nearest-training-neighbor distance (memorization check):   2.647 +/- 0.337
+  Cross-split distance (same seed, different training data): 0.356 +/- 0.047
+  Nearest-training-neighbor distance (memorization check):   2.653 +/- 0.333
 
 ======================================================================
 SUMMARY
-  PASS: cross-split outputs are 6.98x MORE similar to each
+  PASS: cross-split outputs are 7.46x 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_47036d5ed50f", "created_at": "2026-08-01T17:09:08+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": 99.068}
+{"type": "code", "id": "cell_0e0915115656", "created_at": "2026-08-01T17:28:03+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": 124.15}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim2.py
 ````
 
-exit 0 · 99.1s
+exit 0 · 124.2s
 
 
 ````python title=rmt_diffusion_claim2.py
@@ -142,8 +142,8 @@ 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: 6a6e27d16b79c09949c1e775
-View at: https://huggingface.co/jobs/byte-vortex/6a6e27d16b79c09949c1e775
+Job started with ID: 6a6e2c286b79c09949c1e7a9
+View at: https://huggingface.co/jobs/byte-vortex/6a6e2c286b79c09949c1e7a9
 Downloading numpy (15.9MiB)
  Downloaded numpy
 Installed 1 package in 17ms

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

@@ -3,13 +3,13 @@
 
 ---
 <!-- trackio-cell
-{"type": "code", "id": "cell_5a81ef7e4e8a", "created_at": "2026-08-01T17:09:54+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": 44.05}
+{"type": "code", "id": "cell_3405df3525a0", "created_at": "2026-08-01T17:29:32+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": 86.079}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim3.py
 ````
 
-exit 0 · 44.0s
+exit 0 · 86.1s
 
 
 ````python title=rmt_diffusion_claim3.py
@@ -126,11 +126,11 @@ 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: 6a6e28376b79c09949c1e777
-View at: https://huggingface.co/jobs/byte-vortex/6a6e28376b79c09949c1e777
+Job started with ID: 6a6e2ca76b79c09949c1e7b7
+View at: https://huggingface.co/jobs/byte-vortex/6a6e2ca76b79c09949c1e7b7
 Downloading numpy (15.9MiB)
  Downloaded numpy
-Installed 1 package in 16ms
+Installed 1 package in 18ms
 ======================================================================
 RMT Diffusion Consistency reproduction -- Claim 3
 Testing Result 4.2, Eq. 7: exact denoiser variance/fluctuation law

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

@@ -3,13 +3,13 @@
 
 ---
 <!-- trackio-cell
-{"type": "code", "id": "cell_acde2c15e0f9", "created_at": "2026-08-01T17:10:13+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": 16.173}
+{"type": "code", "id": "cell_effc44060182", "created_at": "2026-08-01T17:29:52+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": 17.2}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim4.py
 ````
 
-exit 0 · 16.2s
+exit 0 · 17.2s
 
 
 ````python title=rmt_diffusion_claim4.py
@@ -233,11 +233,11 @@ 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: 6a6e2865a00abefd4b28bb56
-View at: https://huggingface.co/jobs/byte-vortex/6a6e2865a00abefd4b28bb56
+Job started with ID: 6a6e2d006b79c09949c1e7bb
+View at: https://huggingface.co/jobs/byte-vortex/6a6e2d006b79c09949c1e7bb
 Downloading numpy (15.9MiB)
  Downloaded numpy
-Installed 1 package in 16ms
+Installed 1 package in 17ms
 ======================================================================
 RMT Diffusion Consistency reproduction -- Claim 4
 Testing Result 5.1 & 5.2 (Section 5): fractional-power DE for

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

@@ -3,13 +3,13 @@
 
 ---
 <!-- trackio-cell
-{"type": "code", "id": "cell_171a585e413f", "created_at": "2026-08-01T17:11:02+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": 46.863}
+{"type": "code", "id": "cell_a1b33d17bfca", "created_at": "2026-08-01T17:30:56+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": 61.15}
 -->
 ````bash
 $ hf jobs uv run --flavor a10g-small --secrets HF_TOKEN rmt_diffusion_claim5.py
 ````
 
-exit 0 · 46.9s
+exit 0 · 61.1s
 
 
 ````python title=rmt_diffusion_claim5.py
@@ -207,29 +207,29 @@ 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: 6a6e2878a00abefd4b28bb62
-View at: https://huggingface.co/jobs/byte-vortex/6a6e2878a00abefd4b28bb62
-Downloading nvidia-cuda-nvrtc (86.0MiB)
+Job started with ID: 6a6e2d14a00abefd4b28bbad
+View at: https://huggingface.co/jobs/byte-vortex/6a6e2d14a00abefd4b28bbad
+Downloading pillow (6.6MiB)
+Downloading networkx (2.0MiB)
+Downloading nvidia-cufile (1.2MiB)
+Downloading numpy (15.9MiB)
 Downloading nvidia-cusparse (139.2MiB)
+Downloading nvidia-cudnn-cu13 (349.2MiB)
+Downloading nvidia-cusolver (191.6MiB)
 Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading nvidia-cufft (204.2MiB)
+Downloading nvidia-cusparselt-cu13 (162.3MiB)
+Downloading nvidia-cuda-cupti (10.2MiB)
+Downloading nvidia-cuda-nvrtc (86.0MiB)
+Downloading torch (502.2MiB)
 Downloading nvidia-nccl-cu13 (196.4MiB)
-Downloading cuda-bindings (6.3MiB)
-Downloading nvidia-cufile (1.2MiB)
-Downloading nvidia-cusolver (191.6MiB)
-Downloading networkx (2.0MiB)
 Downloading sympy (6.0MiB)
-Downloading nvidia-cuda-cupti (10.2MiB)
-Downloading nvidia-nvjitlink (38.9MiB)
 Downloading triton (188.6MiB)
-Downloading numpy (15.9MiB)
-Downloading nvidia-cudnn-cu13 (349.2MiB)
 Downloading nvidia-curand (56.8MiB)
-Downloading nvidia-cufft (204.2MiB)
 Downloading nvidia-cublas (403.5MiB)
-Downloading nvidia-cusparselt-cu13 (162.3MiB)
+Downloading nvidia-nvjitlink (38.9MiB)
 Downloading nvidia-cuda-runtime (2.1MiB)
-Downloading torch (502.2MiB)
-Downloading pillow (6.6MiB)
+Downloading cuda-bindings (6.3MiB)
 Downloading torchvision (7.3MiB)
  Downloaded nvidia-cufile
  Downloaded nvidia-cuda-runtime
@@ -239,8 +239,8 @@ Downloading torchvision (7.3MiB)
  Downloaded torchvision
  Downloaded nvidia-cuda-cupti
  Downloaded numpy
- Downloaded nvidia-nvjitlink
  Downloaded sympy
+ Downloaded nvidia-nvjitlink
  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 611ms
+Installed 32 packages in 628ms
 ======================================================================
 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=0.5915
-    step 1000/1500  loss=0.4807
-    step 1500/1500  loss=0.3566
+    step 500/1500  loss=0.5924
+    step 1000/1500  loss=0.4802
+    step 1500/1500  loss=0.3548
 Training MLP denoiser on split B (400 samples)...
-    step 500/1500  loss=0.5550
-    step 1000/1500  loss=0.4539
-    step 1500/1500  loss=0.3710
+    step 500/1500  loss=0.5619
+    step 1000/1500  loss=0.4501
+    step 1500/1500  loss=0.3663
 
 [Results over 30 shared-seed trials, TRAINED deep MLP denoisers]
-  Cross-split distance:            7.326 +/- 1.403
-  Nearest-training-neighbor dist:  15.772 +/- 2.393
+  Cross-split distance:            6.981 +/- 0.887
+  Nearest-training-neighbor dist:  15.758 +/- 2.261
 
 ======================================================================
 SUMMARY
   PASS (toy scale): trained deep MLP denoisers show cross-split outputs
-  2.15x MORE similar to each other than to their nearest training
+  2.26x 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_b022e3f5f054", "created_at": "2026-08-01T17:16:26+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": 321.232}
+{"type": "code", "id": "cell_1980f5703490", "created_at": "2026-08-01T17:36:21+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": 322.462}
 -->
 ````bash
 $ hf jobs uv run --flavor a10g-small --timeout 3600 --secrets HF_TOKEN rmt_diffusion_claim6.py
 ````
 
-exit 0 · 321.2s
+exit 0 · 322.5s
 
 
 ````python title=rmt_diffusion_claim6.py
@@ -489,29 +489,29 @@ 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: 6a6e28a96b79c09949c1e77d
-View at: https://huggingface.co/jobs/byte-vortex/6a6e28a96b79c09949c1e77d
-Downloading networkx (2.0MiB)
-Downloading numpy (15.9MiB)
+Job started with ID: 6a6e2d53a00abefd4b28bbbf
+View at: https://huggingface.co/jobs/byte-vortex/6a6e2d53a00abefd4b28bbbf
+Downloading nvidia-cusparselt-cu13 (162.3MiB)
 Downloading pillow (6.6MiB)
 Downloading nvidia-cufile (1.2MiB)
-Downloading nvidia-cusparselt-cu13 (162.3MiB)
-Downloading nvidia-cusparse (139.2MiB)
-Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading nvidia-nvjitlink (38.9MiB)
 Downloading nvidia-cuda-nvrtc (86.0MiB)
+Downloading nvidia-cusolver (191.6MiB)
 Downloading nvidia-curand (56.8MiB)
+Downloading nvidia-cuda-cupti (10.2MiB)
+Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading numpy (15.9MiB)
 Downloading nvidia-cuda-runtime (2.1MiB)
-Downloading nvidia-nccl-cu13 (196.4MiB)
-Downloading nvidia-nvjitlink (38.9MiB)
+Downloading networkx (2.0MiB)
+Downloading nvidia-cublas (403.5MiB)
 Downloading nvidia-cufft (204.2MiB)
-Downloading nvidia-cuda-cupti (10.2MiB)
-Downloading nvidia-cusolver (191.6MiB)
+Downloading nvidia-cusparse (139.2MiB)
+Downloading nvidia-nccl-cu13 (196.4MiB)
+Downloading sympy (6.0MiB)
 Downloading triton (188.6MiB)
+Downloading nvidia-cudnn-cu13 (349.2MiB)
 Downloading cuda-bindings (6.3MiB)
-Downloading nvidia-cublas (403.5MiB)
-Downloading sympy (6.0MiB)
 Downloading torch (502.2MiB)
-Downloading nvidia-cudnn-cu13 (349.2MiB)
 Downloading torchvision (7.3MiB)
  Downloaded nvidia-cufile
  Downloaded nvidia-cuda-runtime
@@ -521,8 +521,8 @@ 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

pages/conclusion/page.md

@@ -3,7 +3,7 @@
 
 ---
 <!-- trackio-cell
-{"type": "markdown", "id": "cell_9c7f42a689b3", "created_at": "2026-08-01T17:16:27+00:00", "title": "Conclusion"}
+{"type": "markdown", "id": "cell_3d81cae8808d", "created_at": "2026-08-01T17:36:22+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_965ec8597be4", "created_at": "2026-08-01T17:06:31+00:00", "title": "Executive summary", "pinned": true, "pinned_at": "2026-08-01T17:06:32+00:00"}
+{"type": "markdown", "id": "cell_59380bfb7ff3", "created_at": "2026-08-01T17:25:03+00:00", "title": "Executive summary", "pinned": true, "pinned_at": "2026-08-01T17:25:04+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_7bc3bb9a2eb7", "created_at": "2026-08-01T17:06:33+00:00", "title": "Reproduction poster", "pinned": true, "pinned_at": "2026-08-01T17:06:34+00:00"}
+{"type": "figure", "id": "cell_06f44d0248e8", "created_at": "2026-08-01T17:25:05+00:00", "title": "Reproduction poster", "pinned": true, "pinned_at": "2026-08-01T17:25:06+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": [
     {
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