logbook.json

{
  "title": "The Interplay Between Interpolation and Aggregation in Regression: Optimal Sample Complexity",
  "orid": "qXlovWytwg",
  "space_id": "neonforestmist/interpolation-aggregation-regression-repro",
  "forecast": "12/12",
  "repair": "claim-faithful-v3",
  "repaired_at": "2026-07-27T19:00:57.117499+00:00",
  "pages": [
    "01-defines-gamma-graph-dimension-definition-via",
    "02-any-interpolator-based-aggregation-proper-aggreg",
    "03-there-exist-hypothesis-classes-graph",
    "04-some-hypothesis-classes-constant-oig",
    "05-taking-median-three-independently-trained",
    "06-proper-learners-require-sample-complexity",
    "conclusion"
  ],
  "artifacts": [
    "evidence/claim_1.json",
    "evidence/claim_2.json",
    "evidence/claim_3.json",
    "evidence/claim_4.json",
    "evidence/claim_5.json",
    "evidence/claim_6.json"
  ],
  "cpu_only": true
}