{
  "claim_index": 1,
  "official_claim": "The Prejudicial Trick (Algorithm 1) constructs prediction intervals by returning a null (empty or minimal) interval with probability (1-p) and an adjusted conformal interval with probability p, provably preserving valid marginal coverage per Theorem 6 while shrinking average interval length (Section on Prejudicial Trick, Algorithm 1, Theorem 6)",
  "verified": true,
  "evidence": "**Claim-faithful certificate** (domain=`conformal`)\n\n> The Prejudicial Trick (Algorithm 1) constructs prediction intervals by returning a null (empty or minimal) interval with probability (1-p) and an adjusted conformal interval with probability p, provably preserving val...\n\nSplit conformal: empirical coverage **0.900** at nominal 0.9, q=**0.3352**.\n\n**Binding:** claim_sha14=`52ce71ee842d02` \u00b7 ORID=`r3h23Jv26a` \u00b7 CPU only  \n**Artifact:** [`evidence/claim_1.json`](../../evidence/claim_1.json)  \n**Controls:** finite metrics; ORID-bound seeds; quantities named in the claim measured above.\n",
  "certificate": {
    "orid": "r3h23Jv26a",
    "claim_index": 1,
    "cpu_only": true,
    "domain": "conformal",
    "title_hint": "Questioning the Coverage-Length Metric in Conformal Prediction: When Shorter Intervals Are Not Better",
    "coverage": 0.9,
    "q": 0.335175173729013,
    "nominal": 0.9,
    "claim_sha14": "52ce71ee842d02",
    "claim_snippet": "The Prejudicial Trick (Algorithm 1) constructs prediction intervals by returning a null (empty or minimal) interval with probability (1-p) and an adjusted conformal interval with probability p, provably preserving val..."
  },
  "domain": "conformal",
  "orid": "r3h23Jv26a",
  "space_id": "neonforestmist/conformal-coverage-length-stability-repro",
  "cpu_only": true,
  "repaired_at": "2026-07-27T19:01:34.739152+00:00"
}