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": "2026-07-31T23:15:55+00:00",
+  "updated_at": "2026-07-31T23:36:56+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": "16e783fa9e611adb763e",
+  "revision": "7937d9045910ab14af1f",
   "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_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}
+{"type": "code", "id": "cell_726081609cd3", "created_at": "2026-07-31T23:27:28+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": 42.991}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim1.py
 ````
 
-exit 0 · 44.3s
+exit 0 · 43.0s
 
 
 ````python title=rmt_diffusion_claim1.py
@@ -188,40 +188,40 @@ 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: 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 nvidia-cudnn-cu13 (349.2MiB)
-Downloading nvidia-cuda-cupti (10.2MiB)
+Job started with ID: 6a6d2f36a00abefd4b28a5dc
+View at: https://huggingface.co/jobs/byte-vortex/6a6d2f36a00abefd4b28a5dc
+Downloading nvidia-cublas (403.5MiB)
 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 pillow (6.6MiB)
 Downloading nvidia-cufft (204.2MiB)
+Downloading nvidia-cuda-cupti (10.2MiB)
+Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading triton (188.6MiB)
 Downloading nvidia-nccl-cu13 (196.4MiB)
-Downloading nvidia-curand (56.8MiB)
+Downloading cuda-bindings (6.3MiB)
 Downloading nvidia-nvjitlink (38.9MiB)
+Downloading nvidia-cusolver (191.6MiB)
+Downloading networkx (2.0MiB)
+Downloading nvidia-curand (56.8MiB)
 Downloading numpy (15.9MiB)
-Downloading pillow (6.6MiB)
-Downloading nvidia-cublas (403.5MiB)
-Downloading torch (502.2MiB)
+Downloading nvidia-cuda-runtime (2.1MiB)
+Downloading sympy (6.0MiB)
+Downloading nvidia-cudnn-cu13 (349.2MiB)
+Downloading nvidia-cufile (1.2MiB)
 Downloading nvidia-cusparselt-cu13 (162.3MiB)
+Downloading nvidia-cuda-nvrtc (86.0MiB)
+Downloading torch (502.2MiB)
 Downloading torchvision (7.3MiB)
-Downloading cuda-bindings (6.3MiB)
-Downloading triton (188.6MiB)
  Downloaded nvidia-cufile
  Downloaded nvidia-cuda-runtime
  Downloaded networkx
- Downloaded pillow
  Downloaded cuda-bindings
+ Downloaded pillow
  Downloaded torchvision
  Downloaded nvidia-cuda-cupti
  Downloaded numpy
- Downloaded sympy
  Downloaded nvidia-nvjitlink
+ Downloaded sympy
  Downloaded nvidia-curand
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  Downloaded nvidia-cuda-nvrtc
@@ -234,7 +234,7 @@ Downloading triton (188.6MiB)
  Downloaded nvidia-cudnn-cu13
  Downloaded nvidia-cublas
  Downloaded torch
-Installed 32 packages in 235ms
+Installed 32 packages in 227ms
 ======================================================================
 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): 0.358 +/- 0.046
-  Nearest-training-neighbor distance (memorization check):   2.652 +/- 0.334
+  Cross-split distance (same seed, different training data): 0.370 +/- 0.053
+  Nearest-training-neighbor distance (memorization check):   2.647 +/- 0.330
 
 ======================================================================
 SUMMARY
-  PASS: cross-split outputs are 7.42x MORE similar to each
+  PASS: cross-split outputs are 7.16x 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_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}
+{"type": "code", "id": "cell_1832e7c0bcf1", "created_at": "2026-07-31T23:29:27+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": 116.492}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim2.py
 ````
 
-exit 0 · 92.7s
+exit 0 · 116.5s
 
 
 ````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: 6a6d2a83a00abefd4b28a59c
-View at: https://huggingface.co/jobs/byte-vortex/6a6d2a83a00abefd4b28a59c
+Job started with ID: 6a6d2f646b79c09949c1dcb8
+View at: https://huggingface.co/jobs/byte-vortex/6a6d2f646b79c09949c1dcb8
 Downloading numpy (15.9MiB)
  Downloaded numpy
 Installed 1 package in 16ms

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

@@ -3,13 +3,13 @@
 
 ---
 <!-- trackio-cell
-{"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}
+{"type": "code", "id": "cell_5a140c929baf", "created_at": "2026-07-31T23:30:13+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": 43.789}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim3.py
 ````
 
-exit 0 · 53.5s
+exit 0 · 43.8s
 
 
 ````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: 6a6d2ae26b79c09949c1dca9
-View at: https://huggingface.co/jobs/byte-vortex/6a6d2ae26b79c09949c1dca9
+Job started with ID: 6a6d2fdba00abefd4b28a5ea
+View at: https://huggingface.co/jobs/byte-vortex/6a6d2fdba00abefd4b28a5ea
 Downloading numpy (15.9MiB)
  Downloaded numpy
 Installed 1 package in 15ms

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

@@ -3,13 +3,13 @@
 
 ---
 <!-- trackio-cell
-{"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}
+{"type": "code", "id": "cell_a88090b3e0da", "created_at": "2026-07-31T23:30:33+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": 16.749}
 -->
 ````bash
 $ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim4.py
 ````
 
-exit 0 · 15.6s
+exit 0 · 16.7s
 
 
 ````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: 6a6d2b1aa00abefd4b28a5a4
-View at: https://huggingface.co/jobs/byte-vortex/6a6d2b1aa00abefd4b28a5a4
+Job started with ID: 6a6d30096b79c09949c1dcc4
+View at: https://huggingface.co/jobs/byte-vortex/6a6d30096b79c09949c1dcc4
 Downloading numpy (15.9MiB)
  Downloaded numpy
-Installed 1 package in 16ms
+Installed 1 package in 18ms
 ======================================================================
 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_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}
+{"type": "code", "id": "cell_18e14934f179", "created_at": "2026-07-31T23:31:23+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": 47.501}
 -->
 ````bash
 $ hf jobs uv run --flavor a10g-small --secrets HF_TOKEN rmt_diffusion_claim5.py
 ````
 
-exit 0 · 46.6s
+exit 0 · 47.5s
 
 
 ````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: 6a6d2b2ca00abefd4b28a5a6
-View at: https://huggingface.co/jobs/byte-vortex/6a6d2b2ca00abefd4b28a5a6
-Downloading pillow (6.6MiB)
-Downloading sympy (6.0MiB)
+Job started with ID: 6a6d301c6b79c09949c1dcc9
+View at: https://huggingface.co/jobs/byte-vortex/6a6d301c6b79c09949c1dcc9
+Downloading triton (188.6MiB)
+Downloading nvidia-cusparselt-cu13 (162.3MiB)
+Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading cuda-bindings (6.3MiB)
 Downloading networkx (2.0MiB)
-Downloading nvidia-cuda-runtime (2.1MiB)
 Downloading nvidia-cufile (1.2MiB)
+Downloading nvidia-cusparse (139.2MiB)
 Downloading nvidia-cuda-nvrtc (86.0MiB)
-Downloading nvidia-cufft (204.2MiB)
-Downloading nvidia-cusparselt-cu13 (162.3MiB)
-Downloading nvidia-nvshmem-cu13 (57.6MiB)
+Downloading pillow (6.6MiB)
+Downloading sympy (6.0MiB)
 Downloading nvidia-cudnn-cu13 (349.2MiB)
-Downloading nvidia-cuda-cupti (10.2MiB)
 Downloading nvidia-nvjitlink (38.9MiB)
 Downloading nvidia-nccl-cu13 (196.4MiB)
+Downloading nvidia-cuda-cupti (10.2MiB)
 Downloading nvidia-cusolver (191.6MiB)
-Downloading cuda-bindings (6.3MiB)
-Downloading nvidia-cusparse (139.2MiB)
-Downloading nvidia-cublas (403.5MiB)
-Downloading triton (188.6MiB)
 Downloading numpy (15.9MiB)
 Downloading nvidia-curand (56.8MiB)
-Downloading torch (502.2MiB)
+Downloading nvidia-cublas (403.5MiB)
+Downloading nvidia-cuda-runtime (2.1MiB)
+Downloading nvidia-cufft (204.2MiB)
 Downloading torchvision (7.3MiB)
+Downloading torch (502.2MiB)
  Downloaded nvidia-cufile
  Downloaded nvidia-cuda-runtime
  Downloaded networkx
@@ -253,7 +253,7 @@ Downloading torchvision (7.3MiB)
  Downloaded nvidia-cudnn-cu13
  Downloaded nvidia-cublas
  Downloaded torch
-Installed 32 packages in 590ms
+Installed 32 packages in 547ms
 ======================================================================
 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=0.5947
-    step 1000/1500  loss=0.4797
-    step 1500/1500  loss=0.3574
+    step 500/1500  loss=0.5920
+    step 1000/1500  loss=0.4839
+    step 1500/1500  loss=0.3545
 Training MLP denoiser on split B (400 samples)...
-    step 500/1500  loss=0.5615
-    step 1000/1500  loss=0.4575
-    step 1500/1500  loss=0.3674
+    step 500/1500  loss=0.5604
+    step 1000/1500  loss=0.4570
+    step 1500/1500  loss=0.3618
 
 [Results over 30 shared-seed trials, TRAINED deep MLP denoisers]
-  Cross-split distance:            7.490 +/- 1.469
-  Nearest-training-neighbor dist:  16.213 +/- 2.543
+  Cross-split distance:            7.138 +/- 1.098
+  Nearest-training-neighbor dist:  15.913 +/- 2.353
 
 ======================================================================
 SUMMARY
   PASS (toy scale): trained deep MLP denoisers show cross-split outputs
-  2.16x 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_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}
+{"type": "code", "id": "cell_4cee19ede470", "created_at": "2026-07-31T23:36:47+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": 322.07}
 -->
 ````bash
 $ hf jobs uv run --flavor a10g-small --secrets HF_TOKEN rmt_diffusion_claim6.py
 ````
 
-exit 0 · 326.5s
+exit 0 · 322.1s
 
 
 ````python title=rmt_diffusion_claim6.py
@@ -489,40 +489,40 @@ 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: 6a6d2b5da00abefd4b28a5b4
-View at: https://huggingface.co/jobs/byte-vortex/6a6d2b5da00abefd4b28a5b4
-Downloading pillow (6.6MiB)
+Job started with ID: 6a6d304ea00abefd4b28a601
+View at: https://huggingface.co/jobs/byte-vortex/6a6d304ea00abefd4b28a601
+Downloading numpy (15.9MiB)
+Downloading nvidia-cuda-cupti (10.2MiB)
+Downloading sympy (6.0MiB)
 Downloading nvidia-cuda-runtime (2.1MiB)
-Downloading networkx (2.0MiB)
-Downloading nvidia-nvjitlink (38.9MiB)
 Downloading nvidia-cufile (1.2MiB)
+Downloading nvidia-curand (56.8MiB)
 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 nvidia-nvjitlink (38.9MiB)
+Downloading networkx (2.0MiB)
+Downloading nvidia-cublas (403.5MiB)
+Downloading torch (502.2MiB)
+Downloading nvidia-cuda-nvrtc (86.0MiB)
+Downloading cuda-bindings (6.3MiB)
 Downloading triton (188.6MiB)
+Downloading pillow (6.6MiB)
 Downloading nvidia-cusparselt-cu13 (162.3MiB)
-Downloading nvidia-cuda-nvrtc (86.0MiB)
+Downloading nvidia-cudnn-cu13 (349.2MiB)
+Downloading nvidia-cufft (204.2MiB)
 Downloading nvidia-cusparse (139.2MiB)
 Downloading nvidia-nvshmem-cu13 (57.6MiB)
-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
  Downloaded networkx
- Downloaded cuda-bindings
  Downloaded pillow
+ Downloaded cuda-bindings
  Downloaded torchvision
  Downloaded nvidia-cuda-cupti
  Downloaded numpy
- Downloaded sympy
  Downloaded nvidia-nvjitlink
+ Downloaded sympy
  Downloaded nvidia-curand
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  Downloaded nvidia-cuda-nvrtc
@@ -535,7 +535,7 @@ Downloading torchvision (7.3MiB)
  Downloaded nvidia-cudnn-cu13
  Downloaded nvidia-cublas
  Downloaded torch
-Installed 32 packages in 718ms
+Installed 32 packages in 579ms
 ======================================================================
 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_0d910f3196cd", "created_at": "2026-07-31T23:15:48+00:00", "title": "Executive summary", "pinned": true, "pinned_at": "2026-07-31T23:15:49+00:00"}
+{"type": "markdown", "id": "cell_fc49b2f19fec", "created_at": "2026-07-31T23:36:49+00:00", "title": "Executive summary", "pinned": true, "pinned_at": "2026-07-31T23:36:50+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 @@
   "files": [],
   "hub_refs": [
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-      "url": "https://huggingface.co/jobs/byte-vortex/6a6d2a546b79c09949c1dca7",
+      "url": "https://huggingface.co/jobs/byte-vortex/6a6d2f36a00abefd4b28a5dc",
       "type": "Jobs",
-      "label": "byte-vortex/6a6d2a546b79c09949c1dca7"
+      "label": "byte-vortex/6a6d2f36a00abefd4b28a5dc"
     },
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-      "url": "https://huggingface.co/jobs/byte-vortex/6a6d2a83a00abefd4b28a59c",
+      "url": "https://huggingface.co/jobs/byte-vortex/6a6d2f646b79c09949c1dcb8",
       "type": "Jobs",
-      "label": "byte-vortex/6a6d2a83a00abefd4b28a59c"
+      "label": "byte-vortex/6a6d2f646b79c09949c1dcb8"
     },
     {
-      "url": "https://huggingface.co/jobs/byte-vortex/6a6d2ae26b79c09949c1dca9",
+      "url": "https://huggingface.co/jobs/byte-vortex/6a6d2fdba00abefd4b28a5ea",
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