{
  "schema_version": 1,
  "title": "Reproduction: Routing and Reasoned Evaluation with Large Language Models",
  "emoji": "🎯",
  "space_id": "kpshinnik/repro-routing-and-reasoned-evaluation-with-large-language-models",
  "paper": null,
  "tags": [
    "icml2026-repro",
    "paper-d0dDhLR19Y"
  ],
  "updated_at": "2026-07-20T08:26:20+00:00",
  "root": {
    "slug": "index",
    "title": "Reproduction: Routing and Reasoned Evaluation with Large Language Models",
    "file": "pages/index.md",
    "children": [
      {
        "slug": "executive-summary",
        "title": "Executive summary",
        "file": "pages/executive-summary/page.md",
        "children": []
      },
      {
        "slug": "claim-1-routing-aware-assessment-reduces-cost-and-latency-while-maintaining-human-alignment",
        "title": "Claim 1: Routing-aware assessment reduces cost and latency while maintaining human alignment",
        "file": "pages/claim-1-routing-aware-assessment-reduces-cost-and-latency-while-maintaining-human-alignment/page.md",
        "children": []
      },
      {
        "slug": "claim-2-substantially-improved-accuracy-efficiency-trade-offs-across-19-language-models",
        "title": "Claim 2: Substantially improved accuracy-efficiency trade-offs across 19 language models",
        "file": "pages/claim-2-substantially-improved-accuracy-efficiency-trade-offs-across-19-language-models/page.md",
        "children": []
      },
      {
        "slug": "conclusion",
        "title": "Conclusion",
        "file": "pages/conclusion/page.md",
        "children": []
      }
    ]
  },
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  "revision": "1784535980569674000"
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