logbook.json

{
  "schema_version": 1,
  "title": "Repro - Information Flow Reveals When to Trust Language Models",
  "emoji": "\ud83d\udd2c",
  "space_id": "bertfil/vd8HzoFZ7v",
  "paper": {
    "arxiv_id": "",
    "openreview_id": "vd8HzoFZ7v",
    "title": "Information Flow Reveals When to Trust Language Models",
    "url": "https://arxiv.org/abs/"
  },
  "tags": [
    "icml2026-repro",
    "paper-vd8HzoFZ7v"
  ],
  "updated_at": "2026-07-20T03:52:34+00:00",
  "root": {
    "slug": "index",
    "title": "Repro - Information Flow Reveals When to Trust Language Models",
    "file": "pages/index.md",
    "children": [
      {
        "slug": "00-scored-evidence-summary",
        "title": "00 - Scored evidence summary",
        "file": "pages/00-scored-evidence-summary/page.md",
        "children": []
      },
      {
        "slug": "claim-1-information-flow-based-uncertainty-quantification",
        "title": "Claim 1 - Information flow-based uncertainty quantification achieves a\u2026",
        "file": "pages/claim-1-information-flow-based-uncertainty-quantification/page.md",
        "children": []
      },
      {
        "slug": "claim-2-the-method-maintains-moderate-computational-cost-w",
        "title": "Claim 2 - The method maintains moderate computational cost while provi\u2026",
        "file": "pages/claim-2-the-method-maintains-moderate-computational-cost-w/page.md",
        "children": []
      },
      {
        "slug": "reproduction-protocol-and-provenance",
        "title": "Reproduction protocol and provenance",
        "file": "pages/reproduction-protocol-and-provenance/page.md",
        "children": []
      },
      {
        "slug": "conclusion",
        "title": "Conclusion",
        "file": "pages/conclusion/page.md",
        "children": []
      }
    ]
  },
  "agent_view_tokens": 3595,
  "revision": "1784519554665885200"
}