{
  "schema_version": 1,
  "title": "Reproduction: Deep sequence models tend to memorize geometrically; it is unclear why",
  "emoji": "🎯",
  "space_id": "ThreeSixNine/repro-geometric-memory-icml2026",
  "paper": {
    "arxiv_id": "2510.26745",
    "openreview_id": "CT2tSmahVQ",
    "title": "Deep sequence models tend to memorize geometrically; it is unclear why"
  },
  "tags": [
    "icml2026-repro",
    "paper-CT2tSmahVQ"
  ],
  "updated_at": "2026-07-21T05:29:03+00:00",
  "root": {
    "slug": "index",
    "title": "Reproduction: Deep sequence models tend to memorize geometrically; it is unclear why",
    "file": "pages/index.md",
    "children": [
      {
        "slug": "executive-summary",
        "title": "Executive summary",
        "file": "pages/executive-summary/page.md",
        "children": []
      },
      {
        "slug": "claim-1-path-star-near-perfect-accuracy",
        "title": "Claim 1: Path-star near-perfect accuracy",
        "file": "pages/claim-1-path-star-near-perfect-accuracy/page.md",
        "children": []
      },
      {
        "slug": "claim-2-contradicts-associative-exp-l-prediction",
        "title": "Claim 2: Contradicts associative exp(l) prediction",
        "file": "pages/claim-2-contradicts-associative-exp-l-prediction/page.md",
        "children": []
      },
      {
        "slug": "claim-3-global-geometric-structure-in-embeddings",
        "title": "Claim 3: Global geometric structure in embeddings",
        "file": "pages/claim-3-global-geometric-structure-in-embeddings/page.md",
        "children": []
      },
      {
        "slug": "claim-4-spectral-bias-and-fiedler-alignment",
        "title": "Claim 4: Spectral bias and Fiedler alignment",
        "file": "pages/claim-4-spectral-bias-and-fiedler-alignment/page.md",
        "children": []
      },
      {
        "slug": "conclusion",
        "title": "Conclusion",
        "file": "pages/conclusion/page.md",
        "children": []
      }
    ]
  },
  "agent_view_tokens": 5997,
  "revision": "1784611743542819410"
}