Update logbook: Reproduction: A Random Matrix Theory Perspective on the Consistency of Diffusion Models
Browse files- README.md +2 -2
- index.html +1 -1
- logbook.json +5 -5
- pages/claim-1-linear-model-predicts-cross-split-consistency/page.md +22 -22
- pages/claim-2-self-consistency-equation-and-renormalized-noise/page.md +5 -5
- pages/claim-3-variance-factorization-anisotropy-x-inhomogeneity/page.md +5 -5
- pages/claim-4-fractional-matrix-power-extension-to-sampling-trajectories/page.md +5 -5
- pages/claim-5-deep-network-validation-toy-scale/page.md +30 -30
- pages/claim-6-deep-network-validation-scoped-toy-scale-cifar10-only/page.md +21 -21
- pages/conclusion/page.md +1 -1
- pages/executive-summary/page.md +2 -2
- pages/index.md +1 -1
- workspace.json +12 -12
README.md
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title: "Reproduction: A Random Matrix Perspective on the Consistency of Diffusion Models"
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emoji: 🎯
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- arxiv:2602.02908
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# Reproduction: A Random Matrix Perspective on the Consistency of Diffusion Models
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An open experiment logbook, published with [Trackio](https://github.com/gradio-app/trackio).
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title: "Reproduction: A Random Matrix Theory Perspective on the Consistency of Diffusion Models"
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emoji: 🎯
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colorFrom: yellow
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colorTo: red
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- arxiv:2602.02908
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---
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# Reproduction: A Random Matrix Theory Perspective on the Consistency of Diffusion Models
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An open experiment logbook, published with [Trackio](https://github.com/gradio-app/trackio).
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index.html
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<meta charset="utf-8" />
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<title>Reproduction: A Random Matrix Perspective on the Consistency of Diffusion Models</title>
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<link rel="stylesheet" href="./logbook.css" />
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<meta charset="utf-8" />
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<title>Reproduction: A Random Matrix Theory Perspective on the Consistency of Diffusion Models</title>
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<link rel="stylesheet" href="./logbook.css" />
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</head>
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<body>
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logbook.json
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{
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"schema_version": 2,
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"title": "Reproduction: A Random Matrix Perspective on the Consistency of Diffusion Models",
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"emoji": "🎯",
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"space_id": "byte-vortex/repro-diffusion-consistency",
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"paper": {
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"icml2026-repro",
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"paper-iPjuUQbkfl"
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],
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"updated_at": "2026-08-
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"root": {
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"slug": "index",
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"title": "Reproduction: A Random Matrix Perspective on the Consistency of Diffusion Models",
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"file": "pages/index.md",
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"children": [
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{
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"total_size": 0,
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"bucket_id": null
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"agent_view_tokens":
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}
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{
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"schema_version": 2,
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"title": "Reproduction: A Random Matrix Theory Perspective on the Consistency of Diffusion Models",
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"emoji": "🎯",
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"space_id": "byte-vortex/repro-diffusion-consistency",
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"paper": {
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"icml2026-repro",
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"paper-iPjuUQbkfl"
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],
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"updated_at": "2026-08-01T18:02:05+00:00",
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"root": {
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"slug": "index",
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"title": "Reproduction: A Random Matrix Theory Perspective on the Consistency of Diffusion Models",
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"file": "pages/index.md",
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"children": [
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{
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"total_size": 0,
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"bucket_id": null
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},
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"agent_view_tokens": 3154,
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"trace_view_tokens": 10,
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"workspace_view_tokens": 8,
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"revision": "56add3a484f11d0181ca"
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}
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pages/claim-1-linear-model-predicts-cross-split-consistency/page.md
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---
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<!-- trackio-cell
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{"type": "code", "id": "
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-->
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````bash
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$ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim1.py
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````
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exit 0 · 47.
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````python title=rmt_diffusion_claim1.py
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````output
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/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.
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warnings.warn(
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Job started with ID:
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View at: https://huggingface.co/jobs/byte-vortex/
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Downloading nvidia-
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Installed 32 packages in
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======================================================================
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RMT Diffusion Consistency reproduction -- Claim 1
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Testing: linear closed-form denoiser predicts cross-split
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Dataset: 4000 samples, 256 dims, split into 2000 / 2000
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[Results over 100 shared-seed trials]
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Cross-split distance (same seed, different training data): 0.
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Nearest-training-neighbor distance (memorization check): 2.
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======================================================================
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SUMMARY
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PASS: cross-split outputs are 7.
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other than to their own nearest training example.
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This supports the paper's Claim 1: a purely linear, closed-form
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model already predicts strong cross-split consistency, without
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---
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<!-- trackio-cell
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+
{"type": "code", "id": "cell_74ac76be8d42", "created_at": "2026-08-01T17:50:55+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": 47.82}
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-->
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````bash
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$ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim1.py
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````
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exit 0 · 47.8s
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````python title=rmt_diffusion_claim1.py
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````output
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/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.
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warnings.warn(
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Job started with ID: 6a6e31d0a00abefd4b28bc1f
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View at: https://huggingface.co/jobs/byte-vortex/6a6e31d0a00abefd4b28bc1f
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Downloading nvidia-cufile (1.2MiB)
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Downloading triton (188.6MiB)
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Downloading nvidia-cusparselt-cu13 (162.3MiB)
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Downloading nvidia-cuda-runtime (2.1MiB)
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Downloading networkx (2.0MiB)
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Downloading cuda-bindings (6.3MiB)
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Downloading nvidia-cuda-cupti (10.2MiB)
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Downloading nvidia-cudnn-cu13 (349.2MiB)
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Downloading nvidia-cuda-nvrtc (86.0MiB)
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Downloading nvidia-nvshmem-cu13 (57.6MiB)
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Downloading torch (502.2MiB)
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Downloaded nvidia-cufile
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Downloaded nvidia-cudnn-cu13
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Downloaded nvidia-cublas
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Downloaded torch
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+
Installed 32 packages in 231ms
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======================================================================
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RMT Diffusion Consistency reproduction -- Claim 1
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Testing: linear closed-form denoiser predicts cross-split
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Dataset: 4000 samples, 256 dims, split into 2000 / 2000
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[Results over 100 shared-seed trials]
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+
Cross-split distance (same seed, different training data): 0.352 +/- 0.039
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+
Nearest-training-neighbor distance (memorization check): 2.652 +/- 0.335
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======================================================================
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SUMMARY
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+
PASS: cross-split outputs are 7.54x MORE similar to each
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other than to their own nearest training example.
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This supports the paper's Claim 1: a purely linear, closed-form
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model already predicts strong cross-split consistency, without
|
pages/claim-2-self-consistency-equation-and-renormalized-noise/page.md
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---
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<!-- trackio-cell
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-
{"type": "code", "id": "
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-->
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````bash
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$ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim2.py
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````
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exit 0 ·
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````python title=rmt_diffusion_claim2.py
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````output
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/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.
|
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warnings.warn(
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-
Job started with ID:
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-
View at: https://huggingface.co/jobs/byte-vortex/
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Downloading numpy (15.9MiB)
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Downloaded numpy
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-
Installed 1 package in
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======================================================================
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RMT Diffusion Consistency reproduction -- Claim 2
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Testing Proposition 4.1: sigma^2 -> kappa(sigma^2) renormalization
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---
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<!-- trackio-cell
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| 6 |
+
{"type": "code", "id": "cell_024224493f3e", "created_at": "2026-08-01T17:52:54+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": 116.465}
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| 7 |
-->
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````bash
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$ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim2.py
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````
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exit 0 · 116.5s
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````python title=rmt_diffusion_claim2.py
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````output
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/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.
|
| 144 |
warnings.warn(
|
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+
Job started with ID: 6a6e32026b79c09949c1e824
|
| 146 |
+
View at: https://huggingface.co/jobs/byte-vortex/6a6e32026b79c09949c1e824
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| 147 |
Downloading numpy (15.9MiB)
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| 148 |
Downloaded numpy
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+
Installed 1 package in 16ms
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======================================================================
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RMT Diffusion Consistency reproduction -- Claim 2
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Testing Proposition 4.1: sigma^2 -> kappa(sigma^2) renormalization
|
pages/claim-3-variance-factorization-anisotropy-x-inhomogeneity/page.md
CHANGED
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@@ -3,13 +3,13 @@
|
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---
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<!-- trackio-cell
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| 6 |
-
{"type": "code", "id": "
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-->
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````bash
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$ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim3.py
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````
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exit 0 ·
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````python title=rmt_diffusion_claim3.py
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````output
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/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.
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warnings.warn(
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-
Job started with ID:
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-
View at: https://huggingface.co/jobs/byte-vortex/
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Downloading numpy (15.9MiB)
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Downloaded numpy
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-
Installed 1 package in
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======================================================================
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RMT Diffusion Consistency reproduction -- Claim 3
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Testing Result 4.2, Eq. 7: exact denoiser variance/fluctuation law
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---
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<!-- trackio-cell
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| 6 |
+
{"type": "code", "id": "cell_92ee2e72afe8", "created_at": "2026-08-01T17:53:41+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": 45.113}
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-->
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````bash
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$ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim3.py
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````
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exit 0 · 45.1s
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````python title=rmt_diffusion_claim3.py
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````output
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/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.
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warnings.warn(
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+
Job started with ID: 6a6e3279a00abefd4b28bc3f
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+
View at: https://huggingface.co/jobs/byte-vortex/6a6e3279a00abefd4b28bc3f
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Downloading numpy (15.9MiB)
|
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Downloaded numpy
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+
Installed 1 package in 16ms
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======================================================================
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RMT Diffusion Consistency reproduction -- Claim 3
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Testing Result 4.2, Eq. 7: exact denoiser variance/fluctuation law
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pages/claim-4-fractional-matrix-power-extension-to-sampling-trajectories/page.md
CHANGED
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---
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<!-- trackio-cell
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-
{"type": "code", "id": "
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-->
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````bash
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$ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim4.py
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````
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exit 0 ·
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````python title=rmt_diffusion_claim4.py
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````output
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/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.
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warnings.warn(
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-
Job started with ID:
|
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-
View at: https://huggingface.co/jobs/byte-vortex/
|
| 238 |
Downloading numpy (15.9MiB)
|
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Downloaded numpy
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-
Installed 1 package in
|
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======================================================================
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RMT Diffusion Consistency reproduction -- Claim 4
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Testing Result 5.1 & 5.2 (Section 5): fractional-power DE for
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| 3 |
|
| 4 |
---
|
| 5 |
<!-- trackio-cell
|
| 6 |
+
{"type": "code", "id": "cell_a2b99bd432b0", "created_at": "2026-08-01T17:54:00+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": 16.469}
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-->
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````bash
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$ hf jobs uv run --flavor cpu-basic --secrets HF_TOKEN rmt_diffusion_claim4.py
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````
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exit 0 · 16.5s
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````python title=rmt_diffusion_claim4.py
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````output
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| 234 |
/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.
|
| 235 |
warnings.warn(
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+
Job started with ID: 6a6e32a9a00abefd4b28bc41
|
| 237 |
+
View at: https://huggingface.co/jobs/byte-vortex/6a6e32a9a00abefd4b28bc41
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Downloading numpy (15.9MiB)
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Downloaded numpy
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+
Installed 1 package in 16ms
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======================================================================
|
| 242 |
RMT Diffusion Consistency reproduction -- Claim 4
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| 243 |
Testing Result 5.1 & 5.2 (Section 5): fractional-power DE for
|
pages/claim-5-deep-network-validation-toy-scale/page.md
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<!-- trackio-cell
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-->
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````bash
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exit 0 ·
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````output
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/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.
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warnings.warn(
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Job started with ID:
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View at: https://huggingface.co/jobs/byte-vortex/
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-
Installed 32 packages in
|
| 257 |
======================================================================
|
| 258 |
RMT Diffusion Consistency reproduction -- Claim 5 (toy scale)
|
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Testing: do REAL TRAINED deep denoisers show the same
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|
@@ -624,22 +624,22 @@ Using REAL MNIST data (14x14 downsampled, d=196).
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Split sizes: 400 / 400
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| 626 |
Training MLP denoiser on split A (400 samples)...
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-
step 500/1500 loss=0.
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step 1000/1500 loss=0.
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step 1500/1500 loss=0.
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Training MLP denoiser on split B (400 samples)...
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-
step 500/1500 loss=0.
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step 1000/1500 loss=0.
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step 1500/1500 loss=0.
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| 635 |
[Results over 30 shared-seed trials, TRAINED deep MLP denoisers]
|
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-
Cross-split distance:
|
| 637 |
-
Nearest-training-neighbor dist: 15.
|
| 638 |
|
| 639 |
======================================================================
|
| 640 |
SUMMARY
|
| 641 |
PASS (toy scale): trained deep MLP denoisers show cross-split outputs
|
| 642 |
-
2.
|
| 643 |
example -- the same qualitative pattern the linear theory (Claim 1)
|
| 644 |
predicts, now confirmed with REAL TRAINED nonlinear networks, not
|
| 645 |
just the closed-form linear denoiser. Supports Claim 5 at toy scale.
|
|
|
|
| 3 |
|
| 4 |
---
|
| 5 |
<!-- trackio-cell
|
| 6 |
+
{"type": "code", "id": "cell_4e8f841fc018", "created_at": "2026-08-01T17:56:36+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": 153.665}
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| 7 |
-->
|
| 8 |
````bash
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$ hf jobs uv run --flavor a10g-small --secrets HF_TOKEN rmt_diffusion_claim5.py
|
| 10 |
````
|
| 11 |
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+
exit 0 · 153.7s
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| 13 |
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| 14 |
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| 15 |
````python title=rmt_diffusion_claim5.py
|
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| 207 |
````output
|
| 208 |
/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.
|
| 209 |
warnings.warn(
|
| 210 |
+
Job started with ID: 6a6e32bba00abefd4b28bc45
|
| 211 |
+
View at: https://huggingface.co/jobs/byte-vortex/6a6e32bba00abefd4b28bc45
|
| 212 |
+
Downloading nvidia-nvshmem-cu13 (57.6MiB)
|
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+
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|
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+
Installed 32 packages in 646ms
|
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======================================================================
|
| 258 |
RMT Diffusion Consistency reproduction -- Claim 5 (toy scale)
|
| 259 |
Testing: do REAL TRAINED deep denoisers show the same
|
|
|
|
| 624 |
Split sizes: 400 / 400
|
| 625 |
|
| 626 |
Training MLP denoiser on split A (400 samples)...
|
| 627 |
+
step 500/1500 loss=0.5933
|
| 628 |
+
step 1000/1500 loss=0.4851
|
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+
step 1500/1500 loss=0.3586
|
| 630 |
Training MLP denoiser on split B (400 samples)...
|
| 631 |
+
step 500/1500 loss=0.5658
|
| 632 |
+
step 1000/1500 loss=0.4498
|
| 633 |
+
step 1500/1500 loss=0.3666
|
| 634 |
|
| 635 |
[Results over 30 shared-seed trials, TRAINED deep MLP denoisers]
|
| 636 |
+
Cross-split distance: 7.074 +/- 0.886
|
| 637 |
+
Nearest-training-neighbor dist: 15.833 +/- 2.294
|
| 638 |
|
| 639 |
======================================================================
|
| 640 |
SUMMARY
|
| 641 |
PASS (toy scale): trained deep MLP denoisers show cross-split outputs
|
| 642 |
+
2.24x MORE similar to each other than to their nearest training
|
| 643 |
example -- the same qualitative pattern the linear theory (Claim 1)
|
| 644 |
predicts, now confirmed with REAL TRAINED nonlinear networks, not
|
| 645 |
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
CHANGED
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<!-- trackio-cell
|
| 6 |
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{"type": "code", "id": "
|
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-->
|
| 8 |
````bash
|
| 9 |
$ hf jobs uv run --flavor a10g-small --timeout 3600 --secrets HF_TOKEN rmt_diffusion_claim6.py
|
| 10 |
````
|
| 11 |
|
| 12 |
-
exit 0 ·
|
| 13 |
|
| 14 |
|
| 15 |
````python title=rmt_diffusion_claim6.py
|
|
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|
|
| 489 |
````output
|
| 490 |
/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.
|
| 491 |
warnings.warn(
|
| 492 |
-
Job started with ID:
|
| 493 |
-
View at: https://huggingface.co/jobs/byte-vortex/
|
| 494 |
-
Downloading nvidia-cusparselt-cu13 (162.3MiB)
|
| 495 |
-
Downloading pillow (6.6MiB)
|
| 496 |
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|
| 497 |
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Downloading nvidia-nvjitlink (38.9MiB)
|
| 498 |
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Downloading nvidia-cuda-nvrtc (86.0MiB)
|
| 499 |
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|
| 500 |
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| 501 |
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Downloading
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| 502 |
-
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|
| 503 |
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|
| 504 |
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|
| 505 |
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| 508 |
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| 509 |
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|
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-
Installed 32 packages in
|
| 539 |
======================================================================
|
| 540 |
RMT Diffusion Consistency reproduction -- Claim 6 (SCOPED TOY SCALE)
|
| 541 |
Testing official Claim 5: consistency vs linear theory,
|
|
|
|
| 3 |
|
| 4 |
---
|
| 5 |
<!-- trackio-cell
|
| 6 |
+
{"type": "code", "id": "cell_f4ac86a756fa", "created_at": "2026-08-01T18:02:01+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": 323.022}
|
| 7 |
-->
|
| 8 |
````bash
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| 9 |
$ hf jobs uv run --flavor a10g-small --timeout 3600 --secrets HF_TOKEN rmt_diffusion_claim6.py
|
| 10 |
````
|
| 11 |
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+
exit 0 · 323.0s
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````python title=rmt_diffusion_claim6.py
|
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| 489 |
````output
|
| 490 |
/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.
|
| 491 |
warnings.warn(
|
| 492 |
+
Job started with ID: 6a6e3357a00abefd4b28bc57
|
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View at: https://huggingface.co/jobs/byte-vortex/6a6e3357a00abefd4b28bc57
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+
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|
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+
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|
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|
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+
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|
| 504 |
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|
| 505 |
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|
| 506 |
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|
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|
| 509 |
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|
| 510 |
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+
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|
| 515 |
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|
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|
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|
|
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|
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|
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|
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|
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+
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|
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|
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|
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+
Installed 32 packages in 565ms
|
| 539 |
======================================================================
|
| 540 |
RMT Diffusion Consistency reproduction -- Claim 6 (SCOPED TOY SCALE)
|
| 541 |
Testing official Claim 5: consistency vs linear theory,
|
pages/conclusion/page.md
CHANGED
|
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|
|
| 3 |
|
| 4 |
---
|
| 5 |
<!-- trackio-cell
|
| 6 |
-
{"type": "markdown", "id": "
|
| 7 |
-->
|
| 8 |
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).
|
| 9 |
|
|
|
|
| 3 |
|
| 4 |
---
|
| 5 |
<!-- trackio-cell
|
| 6 |
+
{"type": "markdown", "id": "cell_1bc2fe05e050", "created_at": "2026-08-01T18:02:03+00:00", "title": "Conclusion"}
|
| 7 |
-->
|
| 8 |
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).
|
| 9 |
|
pages/executive-summary/page.md
CHANGED
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|
| 5 |
<!-- trackio-cell
|
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|
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-->
|
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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).
|
| 9 |
|
|
@@ -29,7 +29,7 @@ All empirical claims were run as real, independently-verifiable Hugging Face Job
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| 29 |
|
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|
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<!-- trackio-cell
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| 32 |
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{"type": "figure", "id": "
|
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|
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````html
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<div style="font-family: -apple-system, sans-serif; max-width: 900px; margin: 0 auto; padding: 24px; border: 1px solid #ddd; border-radius: 8px;">
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|
| 5 |
<!-- trackio-cell
|
| 6 |
+
{"type": "markdown", "id": "cell_6f59ee69c040", "created_at": "2026-08-01T17:50:02+00:00", "title": "Executive summary", "pinned": true, "pinned_at": "2026-08-01T17:50:03+00:00"}
|
| 7 |
-->
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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).
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---
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# Reproduction: A Random Matrix Perspective on the Consistency of Diffusion Models
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## Pages
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# Reproduction: A Random Matrix Theory Perspective on the Consistency of Diffusion Models
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## Pages
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