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": "2026-07-31T22:30:36+00:00",
+  "updated_at": "2026-07-31T23:15:55+00:00",
   "root": {
     "slug": "index",
     "title": "Reproduction: A Random Matrix Theory Perspective on the Consistency of Diffusion Models",
@@ -76,7 +76,7 @@
   "agent_view_tokens": 2940,
   "trace_view_tokens": 10,
   "workspace_view_tokens": 8,
-  "revision": "e3c803843136ce8d4fc2",
+  "revision": "16e783fa9e611adb763e",
   "workspace_ref": {
     "repo_id": "byte-vortex/repro-diffusion-consistency-artifacts",
     "repo_type": "bucket",

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

@@ -3,13 +3,13 @@
 
 ---
 <!-- trackio-cell
-{"type": "code", "id": "cell_709bb78e3720", "created_at": "2026-07-31T22:20:30+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": 46.451}
+{"type": "code", "id": "cell_2e825aeae19a", "created_at": "2026-07-31T23:06:40+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": 44.252}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim1.py
 ````
 
-exit 0 · 46.5s
+exit 0 · 44.3s
 
 
 ````python title=rmt_diffusion_claim1.py
@@ -188,35 +188,35 @@ 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: 6a6d1f81a00abefd4b28a4c4
-View at: https://huggingface.co/jobs/byte-vortex/6a6d1f81a00abefd4b28a4c4
-Downloading nvidia-cuda-nvrtc (86.0MiB)
-Downloading nvidia-cusparse (139.2MiB)
-Downloading numpy (15.9MiB)
-Downloading nvidia-cufft (204.2MiB)
-Downloading cuda-bindings (6.3MiB)
+Job started with ID: 6a6d2a546b79c09949c1dca7
+View at: https://huggingface.co/jobs/byte-vortex/6a6d2a546b79c09949c1dca7
+Downloading nvidia-cufile (1.2MiB)
+Downloading sympy (6.0MiB)
 Downloading nvidia-cuda-runtime (2.1MiB)
-Downloading torch (502.2MiB)
-Downloading nvidia-nvjitlink (38.9MiB)
-Downloading nvidia-cublas (403.5MiB)
+Downloading nvidia-cudnn-cu13 (349.2MiB)
 Downloading nvidia-cuda-cupti (10.2MiB)
-Downloading nvidia-cusparselt-cu13 (162.3MiB)
-Downloading nvidia-cufile (1.2MiB)
-Downloading triton (188.6MiB)
+Downloading nvidia-cusparse (139.2MiB)
+Downloading nvidia-cusolver (191.6MiB)
+Downloading networkx (2.0MiB)
+Downloading nvidia-cuda-nvrtc (86.0MiB)
 Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading nvidia-cufft (204.2MiB)
 Downloading nvidia-nccl-cu13 (196.4MiB)
-Downloading pillow (6.6MiB)
-Downloading networkx (2.0MiB)
 Downloading nvidia-curand (56.8MiB)
-Downloading nvidia-cudnn-cu13 (349.2MiB)
-Downloading nvidia-cusolver (191.6MiB)
-Downloading sympy (6.0MiB)
+Downloading nvidia-nvjitlink (38.9MiB)
+Downloading numpy (15.9MiB)
+Downloading pillow (6.6MiB)
+Downloading nvidia-cublas (403.5MiB)
+Downloading torch (502.2MiB)
+Downloading nvidia-cusparselt-cu13 (162.3MiB)
 Downloading torchvision (7.3MiB)
+Downloading cuda-bindings (6.3MiB)
+Downloading triton (188.6MiB)
  Downloaded nvidia-cufile
  Downloaded nvidia-cuda-runtime
  Downloaded networkx
- Downloaded cuda-bindings
  Downloaded pillow
+ Downloaded cuda-bindings
  Downloaded torchvision
  Downloaded nvidia-cuda-cupti
  Downloaded numpy
@@ -234,7 +234,7 @@ Downloading torchvision (7.3MiB)
  Downloaded nvidia-cudnn-cu13
  Downloaded nvidia-cublas
  Downloaded torch
-Installed 32 packages in 231ms
+Installed 32 packages in 235ms
 ======================================================================
 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): 0.346 +/- 0.040
-  Nearest-training-neighbor distance (memorization check):   2.650 +/- 0.335
+  Cross-split distance (same seed, different training data): 0.358 +/- 0.046
+  Nearest-training-neighbor distance (memorization check):   2.652 +/- 0.334
 
 ======================================================================
 SUMMARY
-  PASS: cross-split outputs are 7.66x 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_b71a832f1c5e", "created_at": "2026-07-31T22:21:42+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": 69.954}
+{"type": "code", "id": "cell_ffe3585b149e", "created_at": "2026-07-31T23:08:15+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": 92.732}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim2.py
 ````
 
-exit 0 · 70.0s
+exit 0 · 92.7s
 
 
 ````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: 6a6d1fb16b79c09949c1dc33
-View at: https://huggingface.co/jobs/byte-vortex/6a6d1fb16b79c09949c1dc33
+Job started with ID: 6a6d2a83a00abefd4b28a59c
+View at: https://huggingface.co/jobs/byte-vortex/6a6d2a83a00abefd4b28a59c
 Downloading numpy (15.9MiB)
  Downloaded numpy
-Installed 1 package in 17ms
+Installed 1 package in 16ms
 ======================================================================
 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_62d4f90a9f78", "created_at": "2026-07-31T22:23:03+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": 78.542}
+{"type": "code", "id": "cell_5b69b365c986", "created_at": "2026-07-31T23:09:10+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": 53.455}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim3.py
 ````
 
-exit 0 · 78.5s
+exit 0 · 53.5s
 
 
 ````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: 6a6d1ffa6b79c09949c1dc37
-View at: https://huggingface.co/jobs/byte-vortex/6a6d1ffa6b79c09949c1dc37
+Job started with ID: 6a6d2ae26b79c09949c1dca9
+View at: https://huggingface.co/jobs/byte-vortex/6a6d2ae26b79c09949c1dca9
 Downloading numpy (15.9MiB)
  Downloaded numpy
-Installed 1 package in 16ms
+Installed 1 package in 15ms
 ======================================================================
 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_d9656c396ecd", "created_at": "2026-07-31T22:23:22+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": 16.11}
+{"type": "code", "id": "cell_788cdab620b3", "created_at": "2026-07-31T23:09:29+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": 15.592}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim4.py
 ````
 
-exit 0 · 16.1s
+exit 0 · 15.6s
 
 
 ````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: 6a6d204ba00abefd4b28a4d2
-View at: https://huggingface.co/jobs/byte-vortex/6a6d204ba00abefd4b28a4d2
+Job started with ID: 6a6d2b1aa00abefd4b28a5a4
+View at: https://huggingface.co/jobs/byte-vortex/6a6d2b1aa00abefd4b28a5a4
 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_829d49f19180", "created_at": "2026-07-31T22:25:03+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": 98.503}
+{"type": "code", "id": "cell_cd4dc4d653f2", "created_at": "2026-07-31T23:10:18+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": 46.588}
 -->
 ````bash
 $ hf jobs uv run --flavor a10g-small --secrets HF_TOKEN rmt_diffusion_claim5.py
 ````
 
-exit 0 · 98.5s
+exit 0 · 46.6s
 
 
 ````python title=rmt_diffusion_claim5.py
@@ -207,27 +207,27 @@ 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: 6a6d205d6b79c09949c1dc3d
-View at: https://huggingface.co/jobs/byte-vortex/6a6d205d6b79c09949c1dc3d
-Downloading nvidia-nvjitlink (38.9MiB)
+Job started with ID: 6a6d2b2ca00abefd4b28a5a6
+View at: https://huggingface.co/jobs/byte-vortex/6a6d2b2ca00abefd4b28a5a6
+Downloading pillow (6.6MiB)
 Downloading sympy (6.0MiB)
+Downloading networkx (2.0MiB)
+Downloading nvidia-cuda-runtime (2.1MiB)
 Downloading nvidia-cufile (1.2MiB)
-Downloading pillow (6.6MiB)
-Downloading nvidia-cusolver (191.6MiB)
-Downloading nvidia-nvshmem-cu13 (57.6MiB)
-Downloading cuda-bindings (6.3MiB)
-Downloading numpy (15.9MiB)
-Downloading nvidia-cusparse (139.2MiB)
-Downloading nvidia-cusparselt-cu13 (162.3MiB)
+Downloading nvidia-cuda-nvrtc (86.0MiB)
 Downloading nvidia-cufft (204.2MiB)
+Downloading nvidia-cusparselt-cu13 (162.3MiB)
+Downloading nvidia-nvshmem-cu13 (57.6MiB)
 Downloading nvidia-cudnn-cu13 (349.2MiB)
 Downloading nvidia-cuda-cupti (10.2MiB)
-Downloading triton (188.6MiB)
+Downloading nvidia-nvjitlink (38.9MiB)
 Downloading nvidia-nccl-cu13 (196.4MiB)
-Downloading networkx (2.0MiB)
+Downloading nvidia-cusolver (191.6MiB)
+Downloading cuda-bindings (6.3MiB)
+Downloading nvidia-cusparse (139.2MiB)
 Downloading nvidia-cublas (403.5MiB)
-Downloading nvidia-cuda-nvrtc (86.0MiB)
-Downloading nvidia-cuda-runtime (2.1MiB)
+Downloading triton (188.6MiB)
+Downloading numpy (15.9MiB)
 Downloading nvidia-curand (56.8MiB)
 Downloading torch (502.2MiB)
 Downloading torchvision (7.3MiB)
@@ -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
@@ -250,10 +250,10 @@ Downloading torchvision (7.3MiB)
  Downloaded nvidia-nccl-cu13
  Downloaded nvidia-cufft
  Downloaded triton
- Downloaded nvidia-cublas
  Downloaded nvidia-cudnn-cu13
+ Downloaded nvidia-cublas
  Downloaded torch
-Installed 32 packages in 622ms
+Installed 32 packages in 590ms
 ======================================================================
 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=0.5918
-    step 1000/1500  loss=0.4827
-    step 1500/1500  loss=0.3517
+    step 500/1500  loss=0.5947
+    step 1000/1500  loss=0.4797
+    step 1500/1500  loss=0.3574
 Training MLP denoiser on split B (400 samples)...
-    step 500/1500  loss=0.5617
-    step 1000/1500  loss=0.4450
-    step 1500/1500  loss=0.3666
+    step 500/1500  loss=0.5615
+    step 1000/1500  loss=0.4575
+    step 1500/1500  loss=0.3674
 
 [Results over 30 shared-seed trials, TRAINED deep MLP denoisers]
-  Cross-split distance:            6.915 +/- 0.881
-  Nearest-training-neighbor dist:  15.713 +/- 2.250
+  Cross-split distance:            7.490 +/- 1.469
+  Nearest-training-neighbor dist:  16.213 +/- 2.543
 
 ======================================================================
 SUMMARY
   PASS (toy scale): trained deep MLP denoisers show cross-split outputs
-  2.27x MORE similar to each other than to their nearest training
+  2.16x 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_1fd349b105ca", "created_at": "2026-07-31T22:30:28+00:00", "title": "Run: hf rmt_diffusion_claim6.py (exit 0)", "command": ["hf", "jobs", "uv", "run", "--flavor", "a10g-small", "--secrets", "HF_TOKEN", "rmt_diffusion_claim6.py"], "exit_code": 0, "duration_s": 322.521}
+{"type": "code", "id": "cell_4c3fc69e19a3", "created_at": "2026-07-31T23:15:47+00:00", "title": "Run: hf rmt_diffusion_claim6.py (exit 0)", "command": ["hf", "jobs", "uv", "run", "--flavor", "a10g-small", "--secrets", "HF_TOKEN", "rmt_diffusion_claim6.py"], "exit_code": 0, "duration_s": 326.544}
 -->
 ````bash
 $ hf jobs uv run --flavor a10g-small --secrets HF_TOKEN rmt_diffusion_claim6.py
 ````
 
-exit 0 · 322.5s
+exit 0 · 326.5s
 
 
 ````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: 6a6d20c2a00abefd4b28a4d4
-View at: https://huggingface.co/jobs/byte-vortex/6a6d20c2a00abefd4b28a4d4
-Downloading nvidia-cuda-cupti (10.2MiB)
-Downloading sympy (6.0MiB)
+Job started with ID: 6a6d2b5da00abefd4b28a5b4
+View at: https://huggingface.co/jobs/byte-vortex/6a6d2b5da00abefd4b28a5b4
+Downloading pillow (6.6MiB)
+Downloading nvidia-cuda-runtime (2.1MiB)
 Downloading networkx (2.0MiB)
+Downloading nvidia-nvjitlink (38.9MiB)
 Downloading nvidia-cufile (1.2MiB)
+Downloading nvidia-nccl-cu13 (196.4MiB)
 Downloading nvidia-cublas (403.5MiB)
+Downloading nvidia-cusolver (191.6MiB)
+Downloading sympy (6.0MiB)
+Downloading nvidia-cudnn-cu13 (349.2MiB)
 Downloading triton (188.6MiB)
-Downloading nvidia-nccl-cu13 (196.4MiB)
-Downloading nvidia-cufft (204.2MiB)
 Downloading nvidia-cusparselt-cu13 (162.3MiB)
-Downloading numpy (15.9MiB)
-Downloading nvidia-curand (56.8MiB)
 Downloading nvidia-cuda-nvrtc (86.0MiB)
-Downloading pillow (6.6MiB)
-Downloading nvidia-cusolver (191.6MiB)
-Downloading cuda-bindings (6.3MiB)
 Downloading nvidia-cusparse (139.2MiB)
-Downloading torch (502.2MiB)
-Downloading nvidia-cuda-runtime (2.1MiB)
-Downloading nvidia-nvjitlink (38.9MiB)
 Downloading nvidia-nvshmem-cu13 (57.6MiB)
-Downloading nvidia-cudnn-cu13 (349.2MiB)
+Downloading nvidia-curand (56.8MiB)
+Downloading cuda-bindings (6.3MiB)
+Downloading nvidia-cufft (204.2MiB)
+Downloading torch (502.2MiB)
+Downloading nvidia-cuda-cupti (10.2MiB)
+Downloading numpy (15.9MiB)
 Downloading torchvision (7.3MiB)
  Downloaded nvidia-cufile
  Downloaded nvidia-cuda-runtime
@@ -535,7 +535,7 @@ Downloading torchvision (7.3MiB)
  Downloaded nvidia-cudnn-cu13
  Downloaded nvidia-cublas
  Downloaded torch
-Installed 32 packages in 664ms
+Installed 32 packages in 718ms
 ======================================================================
 RMT Diffusion Consistency reproduction -- Claim 6 (SCOPED TOY SCALE)
 Testing official Claim 5: consistency vs linear theory,

pages/executive-summary/page.md

@@ -3,7 +3,7 @@
 
 ---
 <!-- trackio-cell
-{"type": "markdown", "id": "cell_7b003c555feb", "created_at": "2026-07-31T22:30:29+00:00", "title": "Executive summary", "pinned": true, "pinned_at": "2026-07-31T22:30:30+00:00"}
+{"type": "markdown", "id": "cell_0d910f3196cd", "created_at": "2026-07-31T23:15:48+00:00", "title": "Executive summary", "pinned": true, "pinned_at": "2026-07-31T23:15:49+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) -- one of the conference's most highly-recognized papers this year.
 

workspace.json

@@ -5,34 +5,34 @@
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   "hub_refs": [
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-      "url": "https://huggingface.co/jobs/byte-vortex/6a6d1f81a00abefd4b28a4c4",
+      "url": "https://huggingface.co/jobs/byte-vortex/6a6d2a546b79c09949c1dca7",
       "type": "Jobs",
-      "label": "byte-vortex/6a6d1f81a00abefd4b28a4c4"
+      "label": "byte-vortex/6a6d2a546b79c09949c1dca7"
     },
     {
-      "url": "https://huggingface.co/jobs/byte-vortex/6a6d1fb16b79c09949c1dc33",
+      "url": "https://huggingface.co/jobs/byte-vortex/6a6d2a83a00abefd4b28a59c",
       "type": "Jobs",
-      "label": "byte-vortex/6a6d1fb16b79c09949c1dc33"
+      "label": "byte-vortex/6a6d2a83a00abefd4b28a59c"
     },
     {
-      "url": "https://huggingface.co/jobs/byte-vortex/6a6d1ffa6b79c09949c1dc37",
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