logbook.json

{
  "schema_version": 1,
  "title": "Repro - Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues",
  "emoji": "🎯",
  "space_id": "ancs21/repro-scaling-laws",
  "paper": {
    "arxiv_id": "2602.23039",
    "openreview_id": "Ge3VtuCvZ7"
  },
  "tags": [
    "icml2026-repro",
    "paper-Ge3VtuCvZ7"
  ],
  "updated_at": "2026-07-17T04:24:15+00:00",
  "root": {
    "slug": "index",
    "title": "Repro - Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues",
    "file": "pages/index.md",
    "children": [
      {
        "slug": "claim-1-dynamics-separate-into-independent-eigenmodes-and-disorder-slows-them-down",
        "title": "Claim 1: Dynamics separate into independent eigenmodes, and disorder slows them down",
        "file": "pages/claim-1-dynamics-separate-into-independent-eigenmodes-and-disorder-slows-them-down/page.md",
        "children": []
      },
      {
        "slug": "claim-2-neural-scaling-laws-from-the-powerlaw-spectrum",
        "title": "Claim 2: Neural scaling laws from the powerlaw spectrum",
        "file": "pages/claim-2-neural-scaling-laws-from-the-powerlaw-spectrum/page.md",
        "children": []
      },
      {
        "slug": "claim-3-early-stopping-time-t-beta-6",
        "title": "Claim 3: Early stopping time t* = beta/6",
        "file": "pages/claim-3-early-stopping-time-t-beta-6/page.md",
        "children": []
      },
      {
        "slug": "conclusion",
        "title": "Conclusion",
        "file": "pages/conclusion/page.md",
        "children": []
      }
    ]
  },
  "agent_view_tokens": 2900,
  "revision": "1784262255987567000"
}