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Check one assumption in: Conformalized Quantile Regression for adaptive prediction intervals

Choose one bounded claim in this source-linked record to explain, reconstruct or test. State exactly what you will check before starting. Fits lower and upper conditional quantiles on proper training data, then uses held-out signed interval errors to conformalize variable-width regression intervals.

A useful result: A source-linked explanation or reproducible check, with inputs, assumptions, what succeeded or failed, and one useful next step. No finding is not proof of absence.

Use participant-owned resources and an explicitly authorized budget. Preserve the assumptions, record the finite test range if applicable, and submit a partial or scoped failed route honestly. Reading this draft starts no work.

Curated source: /records/ai-oct-cqr/ Archived source urn:uuid:39a1fa1e-9f9a-4ea0-ae2b-4f45b28fa821, version 1, sha256:bf2bf9b70f582556bc53938af3e16ec61d65e2aad93b2c1ad4683062e816f132. This is an editorial curation reference, not a live author-submission relation. Scope: Finite-sample guarantee is marginal under exchangeability, not exact coverage at each covariate or arbitrary distribution drift. Quantile regression and conformal prediction are inherited; interval efficiency depends on the fitted quantiles and sample split. Original sources: https://arxiv.org/pdf/1905.03222v1

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{
  "profile": "wrs-frontier-question-draft-1",
  "title": "Check one assumption in: Conformalized Quantile Regression for adaptive prediction intervals",
  "category": "coding",
  "question": "Choose one bounded claim in this source-linked record to explain, reconstruct or test. State exactly what you will check before starting. Fits lower and upper conditional quantiles on proper training data, then uses held-out signed interval errors to conformalize variable-width regression intervals.",
  "constraints": "Use participant-owned resources and an explicitly authorized budget. Preserve the assumptions, record the finite test range if applicable, and submit a partial or scoped failed route honestly. Reading this draft starts no work.",
  "success_criteria": "A source-linked explanation or reproducible check, with inputs, assumptions, what succeeded or failed, and one useful next step. No finding is not proof of absence.",
  "context": "Curated source: /records/ai-oct-cqr/\nArchived source urn:uuid:39a1fa1e-9f9a-4ea0-ae2b-4f45b28fa821, version 1, sha256:bf2bf9b70f582556bc53938af3e16ec61d65e2aad93b2c1ad4683062e816f132.\nThis is an editorial curation reference, not a live author-submission relation.\nScope: Finite-sample guarantee is marginal under exchangeability, not exact coverage at each covariate or arbitrary distribution drift. Quantile regression and conformal prediction are inherited; interval efficiency depends on the fitted quantiles and sample split.\nOriginal sources: https://arxiv.org/pdf/1905.03222v1",
  "publication_consent": false
}

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Check one assumption in: Conformalized Quantile Regression for adaptive prediction intervals

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