{
  "schema_version": 1,
  "title": "Reproduction: On the Accuracy of Newton Step and Influence Function Data Attributions",
  "emoji": "🎯",
  "space_id": "Alogotron/repro-on-the-accuracy-of-newton-step-and-influence-function-data-attributions",
  "paper": {
    "arxiv_id": "2512.12572"
  },
  "tags": [
    "icml2026-repro",
    "paper-mDo8XNqopd"
  ],
  "updated_at": "2026-08-02T06:42:47+00:00",
  "root": {
    "slug": "index",
    "title": "Reproduction: On the Accuracy of Newton Step and Influence Function Data Attributions",
    "file": "pages/index.md",
    "children": [
      {
        "slug": "executive-summary",
        "title": "Executive summary",
        "file": "pages/executive-summary/page.md",
        "children": []
      },
      {
        "slug": "claim-1-new-analysis-of-influence-functions-and-newton-step-for-convex-erm-replaces-global-strong-convexity-assumptions-with-local-conditions",
        "title": "Claim 1: local conditions replace global strong convexity",
        "file": "pages/claim-1-new-analysis-of-influence-functions-and-newton-step-for-convex-erm-replaces-global-strong-convexity-assumptions-with-local-conditions/page.md",
        "children": []
      },
      {
        "slug": "claim-2-bounds-for-logistic-regression-with-gaussian-features-capture-the-correct-scaling-up-to-polylogarithmic-factors-yielding-matching-upper-and-lower-bounds",
        "title": "Claim 2: matching logistic-Gaussian scaling",
        "file": "pages/claim-2-bounds-for-logistic-regression-with-gaussian-features-capture-the-correct-scaling-up-to-polylogarithmic-factors-yielding-matching-upper-and-lower-bounds/page.md",
        "children": []
      },
      {
        "slug": "claim-3-newton-step-shows-markedly-more-accurate-data-attribution-than-influence-functions-explaining-open-discrepancies-between-scalar-causal-scores-and-interpretability",
        "title": "Claim 3: Newton step is more accurate than influence functions",
        "file": "pages/claim-3-newton-step-shows-markedly-more-accurate-data-attribution-than-influence-functions-explaining-open-discrepancies-between-scalar-causal-scores-and-interpretability/page.md",
        "children": []
      },
      {
        "slug": "conclusion",
        "title": "Conclusion",
        "file": "pages/conclusion/page.md",
        "children": []
      }
    ]
  },
  "agent_view_tokens": 2373,
  "revision": "1785652967425030883"
}