logbook.json

{
  "schema_version": 1,
  "title": "Repro: Deep sequence models tend to memorize geometrically; it is unclear why",
  "emoji": "🎯",
  "space_id": "latticetower/repro-geometric-memory",
  "paper": {
    "arxiv_id": "2510.26745",
    "openreview_id": "CT2tSmahVQ",
    "title": "Deep sequence models tend to memorize geometrically; it is unclear why",
    "github": "https://github.com/Shahriarnz14/Geometric_Memory"
  },
  "tags": [
    "icml2026-repro",
    "paper-CT2tSmahVQ"
  ],
  "updated_at": "2026-07-18T16:23:42+00:00",
  "root": {
    "slug": "index",
    "title": "Repro: Deep sequence models tend to memorize geometrically; it is unclear why",
    "file": "pages/index.md",
    "children": [
      {
        "slug": "claim-1-near-perfect-in-weights-path-star-accuracy-at-scale",
        "title": "Claim 1: Near-perfect in-weights path-star accuracy at scale",
        "file": "pages/claim-1-near-perfect-in-weights-path-star-accuracy-at-scale/page.md",
        "children": []
      },
      {
        "slug": "claim-2-contradicts-associative-memory-exponential-capacity-prediction",
        "title": "Claim 2: Contradicts associative-memory exponential-capacity prediction",
        "file": "pages/claim-2-contradicts-associative-memory-exponential-capacity-prediction/page.md",
        "children": []
      },
      {
        "slug": "claim-3-geometric-embedding-structure-heatmap-umap",
        "title": "Claim 3: Geometric embedding structure (heatmap + UMAP)",
        "file": "pages/claim-3-geometric-embedding-structure-heatmap-umap/page.md",
        "children": []
      },
      {
        "slug": "claim-4-spectral-bias-fiedler-vector-alignment-node2vec",
        "title": "Claim 4: Spectral bias / Fiedler-vector alignment (Node2Vec)",
        "file": "pages/claim-4-spectral-bias-fiedler-vector-alignment-node2vec/page.md",
        "children": []
      },
      {
        "slug": "conclusion",
        "title": "Conclusion",
        "file": "pages/conclusion/page.md",
        "children": []
      }
    ]
  },
  "agent_view_tokens": 7345,
  "revision": "1784391822522520000"
}