logbook.json

{
  "schema_version": 1,
  "title": "Repro - Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization",
  "emoji": "🎯",
  "space_id": "batesm/repro-dmpo",
  "paper": {
    "arxiv_id": "2510.08233"
  },
  "tags": [
    "icml2026-repro",
    "paper-09CSjVeDug"
  ],
  "updated_at": "2026-07-15T16:54:55+00:00",
  "root": {
    "slug": "index",
    "title": "Repro - Enhancing Reasoning for Diffusion LLMs via Distribution Matching Policy Optimization",
    "file": "pages/index.md",
    "children": [
      {
        "slug": "claim-1-dmpo-distribution-matching-via-cross-entropy",
        "title": "Claim 1: DMPO distribution matching via cross-entropy",
        "file": "pages/claim-1-dmpo-distribution-matching-via-cross-entropy/page.md",
        "children": []
      },
      {
        "slug": "claim-2-weight-baseline-subtraction-for-small-batch-training",
        "title": "Claim 2: Weight baseline subtraction for small-batch training",
        "file": "pages/claim-2-weight-baseline-subtraction-for-small-batch-training/page.md",
        "children": []
      },
      {
        "slug": "claim-3-r1-zero-like-recipe-without-sft",
        "title": "Claim 3: R1-Zero-like recipe without SFT",
        "file": "pages/claim-3-r1-zero-like-recipe-without-sft/page.md",
        "children": []
      },
      {
        "slug": "claim-4-benchmark-comparison-against-baselines",
        "title": "Claim 4: Benchmark comparison against baselines",
        "file": "pages/claim-4-benchmark-comparison-against-baselines/page.md",
        "children": []
      },
      {
        "slug": "claim-5-accuracy-gains-up-to-54-3-over-sota",
        "title": "Claim 5: Accuracy gains up to 54.3% over SOTA",
        "file": "pages/claim-5-accuracy-gains-up-to-54-3-over-sota/page.md",
        "children": []
      },
      {
        "slug": "conclusion",
        "title": "Conclusion",
        "file": "pages/conclusion/page.md",
        "children": []
      }
    ]
  },
  "agent_view_tokens": 3747,
  "revision": "1784134495250998000"
}