logbook.json

{
  "schema_version": 1,
  "title": "Repro - Learning Unmasking Policies for Diffusion Language Models",
  "emoji": "\ud83d\udd2c",
  "space_id": "bertfil/F9NDKf5oPy",
  "paper": {
    "arxiv_id": "2512.09106",
    "openreview_id": "F9NDKf5oPy",
    "title": "Learning Unmasking Policies for Diffusion Language Models",
    "url": "https://arxiv.org/abs/2512.09106"
  },
  "tags": [
    "icml2026-repro",
    "paper-F9NDKf5oPy"
  ],
  "updated_at": "2026-07-20T03:52:35+00:00",
  "root": {
    "slug": "index",
    "title": "Repro - Learning Unmasking Policies for Diffusion Language Models",
    "file": "pages/index.md",
    "children": [
      {
        "slug": "00-scored-evidence-summary",
        "title": "00 - Scored evidence summary",
        "file": "pages/00-scored-evidence-summary/page.md",
        "children": []
      },
      {
        "slug": "claim-1-the-paper-formalizes-masked-diffusion-sampling-as",
        "title": "Claim 1 - The paper formalizes masked diffusion sampling as an MDP in \u2026",
        "file": "pages/claim-1-the-paper-formalizes-masked-diffusion-sampling-as/page.md",
        "children": []
      },
      {
        "slug": "claim-2-the-learned-unmasking-policy-is-a-lightweight-sing",
        "title": "Claim 2 - The learned unmasking policy is a lightweight single-layer t\u2026",
        "file": "pages/claim-2-the-learned-unmasking-policy-is-a-lightweight-sing/page.md",
        "children": []
      },
      {
        "slug": "claim-3-policy-sampling-matches-state-of-the-art-heuristic",
        "title": "Claim 3 - Policy sampling matches state-of-the-art heuristic samplers \u2026",
        "file": "pages/claim-3-policy-sampling-matches-state-of-the-art-heuristic/page.md",
        "children": []
      },
      {
        "slug": "claim-4-learned-policies-outperform-heuristic-unmasking-st",
        "title": "Claim 4 - Learned policies outperform heuristic unmasking strategies i\u2026",
        "file": "pages/claim-4-learned-policies-outperform-heuristic-unmasking-st/page.md",
        "children": []
      },
      {
        "slug": "claim-5-visualization-of-learned-full-diffusion-policies-s",
        "title": "Claim 5 - Visualization of learned full-diffusion policies shows exper\u2026",
        "file": "pages/claim-5-visualization-of-learned-full-diffusion-policies-s/page.md",
        "children": []
      },
      {
        "slug": "reproduction-protocol-and-provenance",
        "title": "Reproduction protocol and provenance",
        "file": "pages/reproduction-protocol-and-provenance/page.md",
        "children": []
      },
      {
        "slug": "conclusion",
        "title": "Conclusion",
        "file": "pages/conclusion/page.md",
        "children": []
      }
    ]
  },
  "agent_view_tokens": 8935,
  "revision": "1784519555225483300"
}