{
  "schema_version": 1,
  "title": "Reproduction: Certificate-Guided Pruning for Stochastic Lipschitz Optimization",
  "emoji": "🎯",
  "space_id": "SabaPivot/repro-certificate-guided-pruning-for-stochastic-lipschitz-optimization",
  "paper": {
    "arxiv_id": "2601.20231"
  },
  "tags": [
    "icml2026-repro",
    "paper-9CqZoRWpoc"
  ],
  "updated_at": "2026-07-29T03:33:14.822635+00:00",
  "root": {
    "slug": "index",
    "title": "Reproduction: Certificate-Guided Pruning for Stochastic Lipschitz Optimization",
    "file": "pages/index.md",
    "children": [
      {
        "slug": "executive-summary",
        "title": "Executive summary",
        "file": "pages/executive-summary/page.md",
        "children": []
      },
      {
        "slug": "claim-1-section-3-certificate-guided-pruning-maintains-explicit",
        "title": "Claim 1: Section 3: Certificate-Guided Pruning maintains explicit",
        "file": "pages/claim-1-section-3-certificate-guided-pruning-maintains-explicit/page.md",
        "children": []
      },
      {
        "slug": "claim-2-theorem-4-6-margin-condition-near-optimality-dimension",
        "title": "Claim 2: Theorem 4.6: margin condition near-optimality dimension",
        "file": "pages/claim-2-theorem-4-6-margin-condition-near-optimality-dimension/page.md",
        "children": []
      },
      {
        "slug": "claim-3-theorem-4-8-cgp-achieves-optimality-probability-least",
        "title": "Claim 3: Theorem 4.8: CGP achieves -optimality probability least",
        "file": "pages/claim-3-theorem-4-8-cgp-achieves-optimality-probability-least/page.md",
        "children": []
      },
      {
        "slug": "claim-4-theorem-4-9-matching-lower-bound-algorithm-requires",
        "title": "Claim 4: Theorem 4.9: matching lower bound algorithm requires",
        "file": "pages/claim-4-theorem-4-9-matching-lower-bound-algorithm-requires/page.md",
        "children": []
      },
      {
        "slug": "claim-5-theorem-5-1-cgp-adaptive-learns-lipschitz-constant",
        "title": "Claim 5: Theorem 5.1: CGP-Adaptive learns Lipschitz constant",
        "file": "pages/claim-5-theorem-5-1-cgp-adaptive-learns-lipschitz-constant/page.md",
        "children": []
      },
      {
        "slug": "claim-6-theorem-6-1-cgp-tr-trust-region-variant-scales-dimension",
        "title": "Claim 6: Theorem 6.1: CGP-TR trust-region variant scales dimension",
        "file": "pages/claim-6-theorem-6-1-cgp-tr-trust-region-variant-scales-dimension/page.md",
        "children": []
      },
      {
        "slug": "conclusion",
        "title": "Conclusion",
        "file": "pages/conclusion/page.md",
        "children": []
      }
    ]
  },
  "agent_view_tokens": 11584,
  "revision": "1784967890430892930"
}