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": "2026-08-01T08:05:55+00:00",
+  "updated_at": "2026-08-01T09:08:52+00:00",
   "root": {
     "slug": "index",
     "title": "Reproduction: A Random Matrix Perspective on the Consistency of Diffusion Models",
@@ -76,5 +76,5 @@
   "agent_view_tokens": 3152,
   "trace_view_tokens": 10,
   "workspace_view_tokens": 8,
-  "revision": "77632d03392161420de1"
+  "revision": "5cf7e9723c4bda2b0942"
 }

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

@@ -3,13 +3,13 @@
 
 ---
 <!-- trackio-cell
-{"type": "code", "id": "cell_8e22053883dd", "created_at": "2026-08-01T07:56:48+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": 48.005}
+{"type": "code", "id": "cell_a47196b85139", "created_at": "2026-08-01T08:58:15+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": 42.362}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim1.py
 ````
 
-exit 0 · 48.0s
+exit 0 · 42.4s
 
 
 ````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: 6a6da690a00abefd4b28b0db
-View at: https://huggingface.co/jobs/byte-vortex/6a6da690a00abefd4b28b0db
+Job started with ID: 6a6db4fda00abefd4b28b2b5
+View at: https://huggingface.co/jobs/byte-vortex/6a6db4fda00abefd4b28b2b5
+Downloading networkx (2.0MiB)
+Downloading nvidia-cusparselt-cu13 (162.3MiB)
+Downloading pillow (6.6MiB)
 Downloading nvidia-nvjitlink (38.9MiB)
 Downloading nvidia-cuda-cupti (10.2MiB)
-Downloading networkx (2.0MiB)
-Downloading nvidia-cufft (204.2MiB)
-Downloading sympy (6.0MiB)
-Downloading cuda-bindings (6.3MiB)
-Downloading nvidia-nccl-cu13 (196.4MiB)
+Downloading nvidia-curand (56.8MiB)
 Downloading nvidia-cuda-runtime (2.1MiB)
-Downloading nvidia-cufile (1.2MiB)
+Downloading nvidia-nccl-cu13 (196.4MiB)
 Downloading nvidia-cusolver (191.6MiB)
-Downloading numpy (15.9MiB)
+Downloading torchvision (7.3MiB)
+Downloading nvidia-nvshmem-cu13 (57.6MiB)
 Downloading triton (188.6MiB)
-Downloading nvidia-cusparselt-cu13 (162.3MiB)
-Downloading nvidia-cusparse (139.2MiB)
+Downloading sympy (6.0MiB)
 Downloading nvidia-cuda-nvrtc (86.0MiB)
-Downloading torch (502.2MiB)
-Downloading pillow (6.6MiB)
+Downloading nvidia-cufft (204.2MiB)
+Downloading nvidia-cufile (1.2MiB)
+Downloading cuda-bindings (6.3MiB)
 Downloading nvidia-cudnn-cu13 (349.2MiB)
-Downloading nvidia-curand (56.8MiB)
-Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading numpy (15.9MiB)
+Downloading torch (502.2MiB)
+Downloading nvidia-cusparse (139.2MiB)
 Downloading nvidia-cublas (403.5MiB)
-Downloading torchvision (7.3MiB)
  Downloaded nvidia-cufile
  Downloaded nvidia-cuda-runtime
  Downloaded networkx
@@ -220,8 +220,8 @@ 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
@@ -234,7 +234,7 @@ Downloading torchvision (7.3MiB)
  Downloaded nvidia-cudnn-cu13
  Downloaded nvidia-cublas
  Downloaded torch
-Installed 32 packages in 239ms
+Installed 32 packages in 216ms
 ======================================================================
 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): 0.359 +/- 0.047
-  Nearest-training-neighbor distance (memorization check):   2.646 +/- 0.332
+  Cross-split distance (same seed, different training data): 0.381 +/- 0.057
+  Nearest-training-neighbor distance (memorization check):   2.653 +/- 0.335
 
 ======================================================================
 SUMMARY
-  PASS: cross-split outputs are 7.36x MORE similar to each
+  PASS: cross-split outputs are 6.97x 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_9c5d73d46cf1", "created_at": "2026-08-01T07:58:40+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": 110.454}
+{"type": "code", "id": "cell_751ae890e42a", "created_at": "2026-08-01T08:59:25+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": 68.234}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim2.py
 ````
 
-exit 0 · 110.5s
+exit 0 · 68.2s
 
 
 ````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: 6a6da6c26b79c09949c1e2b4
-View at: https://huggingface.co/jobs/byte-vortex/6a6da6c26b79c09949c1e2b4
+Job started with ID: 6a6db5296b79c09949c1e3cf
+View at: https://huggingface.co/jobs/byte-vortex/6a6db5296b79c09949c1e3cf
 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_ad69ee368cf6", "created_at": "2026-08-01T07:59:18+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": 36.125}
+{"type": "code", "id": "cell_a833a57f5f84", "created_at": "2026-08-01T09:00:34+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": 67.417}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim3.py
 ````
 
-exit 0 · 36.1s
+exit 0 · 67.4s
 
 
 ````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: 6a6da733a00abefd4b28b117
-View at: https://huggingface.co/jobs/byte-vortex/6a6da733a00abefd4b28b117
+Job started with ID: 6a6db570a00abefd4b28b2bd
+View at: https://huggingface.co/jobs/byte-vortex/6a6db570a00abefd4b28b2bd
 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_9298eb629b97", "created_at": "2026-08-01T07:59:36+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": 16.064}
+{"type": "code", "id": "cell_0140ae9bc86d", "created_at": "2026-08-01T09:01:17+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": 41.027}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim4.py
 ````
 
-exit 0 · 16.1s
+exit 0 · 41.0s
 
 
 ````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: 6a6da7596b79c09949c1e2ef
-View at: https://huggingface.co/jobs/byte-vortex/6a6da7596b79c09949c1e2ef
+Job started with ID: 6a6db5b5a00abefd4b28b2ec
+View at: https://huggingface.co/jobs/byte-vortex/6a6db5b5a00abefd4b28b2ec
 Downloading numpy (15.9MiB)
  Downloaded numpy
-Installed 1 package in 16ms
+Installed 1 package in 15ms
 ======================================================================
 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_90081f09fa40", "created_at": "2026-08-01T08:00:25+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": 47.003}
+{"type": "code", "id": "cell_8308fac80873", "created_at": "2026-08-01T09:03:25+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": 126.279}
 -->
 ````bash
 $ hf jobs uv run --flavor a10g-small --secrets HF_TOKEN rmt_diffusion_claim5.py
 ````
 
-exit 0 · 47.0s
+exit 0 · 126.3s
 
 
 ````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: 6a6da76b6b79c09949c1e2f1
-View at: https://huggingface.co/jobs/byte-vortex/6a6da76b6b79c09949c1e2f1
-Downloading nvidia-cufft (204.2MiB)
-Downloading cuda-bindings (6.3MiB)
-Downloading sympy (6.0MiB)
-Downloading nvidia-cuda-runtime (2.1MiB)
-Downloading networkx (2.0MiB)
-Downloading nvidia-nvjitlink (38.9MiB)
+Job started with ID: 6a6db5e06b79c09949c1e3dd
+View at: https://huggingface.co/jobs/byte-vortex/6a6db5e06b79c09949c1e3dd
 Downloading pillow (6.6MiB)
+Downloading cuda-bindings (6.3MiB)
+Downloading nvidia-cublas (403.5MiB)
 Downloading nvidia-nccl-cu13 (196.4MiB)
-Downloading nvidia-cufile (1.2MiB)
+Downloading nvidia-cufft (204.2MiB)
+Downloading nvidia-cusparselt-cu13 (162.3MiB)
+Downloading nvidia-curand (56.8MiB)
 Downloading nvidia-cuda-cupti (10.2MiB)
-Downloading triton (188.6MiB)
+Downloading nvidia-cusparse (139.2MiB)
 Downloading numpy (15.9MiB)
-Downloading torch (502.2MiB)
+Downloading triton (188.6MiB)
+Downloading sympy (6.0MiB)
+Downloading nvidia-cuda-nvrtc (86.0MiB)
 Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading nvidia-nvjitlink (38.9MiB)
+Downloading nvidia-cuda-runtime (2.1MiB)
+Downloading nvidia-cufile (1.2MiB)
+Downloading networkx (2.0MiB)
 Downloading nvidia-cudnn-cu13 (349.2MiB)
-Downloading nvidia-cublas (403.5MiB)
-Downloading nvidia-cuda-nvrtc (86.0MiB)
-Downloading nvidia-cusparselt-cu13 (162.3MiB)
 Downloading nvidia-cusolver (191.6MiB)
-Downloading nvidia-cusparse (139.2MiB)
-Downloading nvidia-curand (56.8MiB)
+Downloading torch (502.2MiB)
 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 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 631ms
+Installed 32 packages in 608ms
 ======================================================================
 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=0.5953
-    step 1000/1500  loss=0.4811
-    step 1500/1500  loss=0.3512
+    step 500/1500  loss=0.5928
+    step 1000/1500  loss=0.4805
+    step 1500/1500  loss=0.3503
 Training MLP denoiser on split B (400 samples)...
-    step 500/1500  loss=0.5589
-    step 1000/1500  loss=0.4563
-    step 1500/1500  loss=0.3696
+    step 500/1500  loss=0.5624
+    step 1000/1500  loss=0.4545
+    step 1500/1500  loss=0.3652
 
 [Results over 30 shared-seed trials, TRAINED deep MLP denoisers]
-  Cross-split distance:            7.508 +/- 1.666
-  Nearest-training-neighbor dist:  16.167 +/- 2.684
+  Cross-split distance:            7.799 +/- 1.786
+  Nearest-training-neighbor dist:  16.517 +/- 2.882
 
 ======================================================================
 SUMMARY
   PASS (toy scale): trained deep MLP denoisers show cross-split outputs
-  2.15x MORE similar to each other than to their nearest training
+  2.12x 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

@@ -3,7 +3,7 @@
 
 ---
 <!-- trackio-cell
-{"type": "code", "id": "cell_f05089612d51", "created_at": "2026-08-01T08:05:48+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": 321.594}
+{"type": "code", "id": "cell_2312292754fd", "created_at": "2026-08-01T09:08:49+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": 321.616}
 -->
 ````bash
 $ hf jobs uv run --flavor a10g-small --timeout 3600 --secrets HF_TOKEN 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: 6a6da79ba00abefd4b28b143
-View at: https://huggingface.co/jobs/byte-vortex/6a6da79ba00abefd4b28b143
-Downloading nvidia-curand (56.8MiB)
+Job started with ID: 6a6db6606b79c09949c1e3e5
+View at: https://huggingface.co/jobs/byte-vortex/6a6db6606b79c09949c1e3e5
 Downloading numpy (15.9MiB)
+Downloading cuda-bindings (6.3MiB)
+Downloading sympy (6.0MiB)
 Downloading nvidia-cufile (1.2MiB)
 Downloading triton (188.6MiB)
-Downloading nvidia-cusolver (191.6MiB)
-Downloading nvidia-cuda-runtime (2.1MiB)
-Downloading nvidia-cudnn-cu13 (349.2MiB)
+Downloading torch (502.2MiB)
 Downloading nvidia-cusparse (139.2MiB)
+Downloading nvidia-cufft (204.2MiB)
+Downloading nvidia-cublas (403.5MiB)
 Downloading pillow (6.6MiB)
+Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading nvidia-cuda-cupti (10.2MiB)
 Downloading nvidia-cuda-nvrtc (86.0MiB)
-Downloading nvidia-nvjitlink (38.9MiB)
+Downloading nvidia-cuda-runtime (2.1MiB)
+Downloading nvidia-nccl-cu13 (196.4MiB)
 Downloading nvidia-cusparselt-cu13 (162.3MiB)
-Downloading nvidia-nvshmem-cu13 (57.6MiB)
 Downloading networkx (2.0MiB)
+Downloading nvidia-curand (56.8MiB)
+Downloading nvidia-cudnn-cu13 (349.2MiB)
+Downloading nvidia-cusolver (191.6MiB)
+Downloading nvidia-nvjitlink (38.9MiB)
 Downloading torchvision (7.3MiB)
-Downloading cuda-bindings (6.3MiB)
-Downloading sympy (6.0MiB)
-Downloading nvidia-cublas (403.5MiB)
-Downloading nvidia-nccl-cu13 (196.4MiB)
-Downloading nvidia-cufft (204.2MiB)
-Downloading torch (502.2MiB)
-Downloading nvidia-cuda-cupti (10.2MiB)
  Downloaded nvidia-cufile
  Downloaded nvidia-cuda-runtime
  Downloaded networkx
@@ -521,8 +521,8 @@ Downloading nvidia-cuda-cupti (10.2MiB)
  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
@@ -535,7 +535,7 @@ Downloading nvidia-cuda-cupti (10.2MiB)
  Downloaded nvidia-cudnn-cu13
  Downloaded nvidia-cublas
  Downloaded torch
-Installed 32 packages in 588ms
+Installed 32 packages in 610ms
 ======================================================================
 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_37e322ab8acc", "created_at": "2026-08-01T08:05:53+00:00", "title": "Conclusion", "pinned": true, "pinned_at": "2026-08-01T08:05:53+00:00"}
+{"type": "markdown", "id": "cell_908cf200c69f", "created_at": "2026-08-01T09:08:50+00:00", "title": "Conclusion", "pinned": true, "pinned_at": "2026-08-01T09:08:51+00:00"}
 -->
 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_7a10108fd65b", "created_at": "2026-08-01T08:05:49+00:00", "title": "Executive summary", "pinned": true, "pinned_at": "2026-08-01T08:05:50+00:00"}
+{"type": "markdown", "id": "cell_20726e6d50fb", "created_at": "2026-08-01T08:57:28+00:00", "title": "Executive summary", "pinned": true, "pinned_at": "2026-08-01T08:57:29+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_5e61302dfcd0", "created_at": "2026-08-01T08:05:51+00:00", "title": "Reproduction poster", "pinned": true, "pinned_at": "2026-08-01T08:05:52+00:00"}
+{"type": "figure", "id": "cell_9d5b536abbff", "created_at": "2026-08-01T08:57:30+00:00", "title": "Reproduction poster", "pinned": true, "pinned_at": "2026-08-01T08:57:31+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/6a6da690a00abefd4b28b0db",
+      "url": "https://huggingface.co/jobs/byte-vortex/6a6db4fda00abefd4b28b2b5",
       "type": "Jobs",
-      "label": "byte-vortex/6a6da690a00abefd4b28b0db"
+      "label": "byte-vortex/6a6db4fda00abefd4b28b2b5"
     },
     {
-      "url": "https://huggingface.co/jobs/byte-vortex/6a6da6c26b79c09949c1e2b4",
+      "url": "https://huggingface.co/jobs/byte-vortex/6a6db5296b79c09949c1e3cf",
       "type": "Jobs",
-      "label": "byte-vortex/6a6da6c26b79c09949c1e2b4"
+      "label": "byte-vortex/6a6db5296b79c09949c1e3cf"
     },
     {
-      "url": "https://huggingface.co/jobs/byte-vortex/6a6da733a00abefd4b28b117",
+      "url": "https://huggingface.co/jobs/byte-vortex/6a6db570a00abefd4b28b2bd",
       "type": "Jobs",
-      "label": "byte-vortex/6a6da733a00abefd4b28b117"
+      "label": "byte-vortex/6a6db570a00abefd4b28b2bd"
     },
     {
-      "url": "https://huggingface.co/jobs/byte-vortex/6a6da7596b79c09949c1e2ef",
+      "url": "https://huggingface.co/jobs/byte-vortex/6a6db5b5a00abefd4b28b2ec",
       "type": "Jobs",
-      "label": "byte-vortex/6a6da7596b79c09949c1e2ef"
+      "label": "byte-vortex/6a6db5b5a00abefd4b28b2ec"
     },
     {
-      "url": "https://huggingface.co/jobs/byte-vortex/6a6da76b6b79c09949c1e2f1",
+      "url": "https://huggingface.co/jobs/byte-vortex/6a6db5e06b79c09949c1e3dd",
       "type": "Jobs",
-      "label": "byte-vortex/6a6da76b6b79c09949c1e2f1"
+      "label": "byte-vortex/6a6db5e06b79c09949c1e3dd"
     },
     {
-      "url": "https://huggingface.co/jobs/byte-vortex/6a6da79ba00abefd4b28b143",
+      "url": "https://huggingface.co/jobs/byte-vortex/6a6db6606b79c09949c1e3e5",
       "type": "Jobs",
-      "label": "byte-vortex/6a6da79ba00abefd4b28b143"
+      "label": "byte-vortex/6a6db6606b79c09949c1e3e5"
     }
   ],
   "reference_only": true