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repro-bayesian-tensor-decomposition-with-diffusion-model-prior
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  "schema_version": 2,
  "title": "Reproduction: Bayesian Tensor Decomposition with Diffusion Model Prior",
  "emoji": "🎯",
  "space_id": "riteshhf/repro-bayesian-tensor-decomposition-with-diffusion-model-prior",
  "paper": null,
  "tags": [
    "icml2026-repro",
    "open-reproductions",
    "paper-q806xA8NPR",
    "trackio"
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  "updated_at": "2026-08-02T14:45:58+00:00",
  "root": {
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    "title": "Reproduction: Bayesian Tensor Decomposition with Diffusion Model Prior",
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        "title": "Executive summary",
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      {
        "slug": "claim-1-joint-probabilistic-model-cusp-diffusion-prior",
        "title": "Claim 1: Joint probabilistic model (CUSP + diffusion prior)",
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        "children": []
      },
      {
        "slug": "claim-2-theorem-3-1-cusp-tail-shrinkage",
        "title": "Claim 2: Theorem 3.1 — CUSP tail shrinkage",
        "file": "pages/claim-2-theorem-3-1-cusp-tail-shrinkage/page.md",
        "children": []
      },
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        "slug": "claim-3-split-gibbs-sampler-noise-adaptive-coupling",
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        "children": []
      },
      {
        "slug": "claim-4-theorem-3-4-stationary-bias-bound",
        "title": "Claim 4: Theorem 3.4 — stationary bias bound",
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        "children": []
      },
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      },
      {
        "slug": "claim-6-ood-high-resolution-2048x2048-table-2",
        "title": "Claim 6: OOD high-resolution 2048x2048 (Table 2)",
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        "children": []
      },
      {
        "slug": "conclusion",
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