Pith Number

pith:TUEKORGY

pith:2026:TUEKORGYTA3TNLGHNQ5QLJ3KQP

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Skew-adaptive conformal prediction

Helton Graziadei, Paulo C. Marques F.

Skew-adaptive conformal prediction maintains finite-sample validity while adjusting interval shape to local skewness.

arxiv:2605.16145 v1 · 2026-05-15 · stat.ML · cs.LG

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Record completeness

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2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

The resulting procedure preserves the finite-sample marginal validity of split conformal prediction under exchangeability, while producing intervals that adapt to both local scale and local skewness.

C2weakest assumption

The additional predictive model trained on the inverse hyperbolic sine transform of signed scaled residuals from the calibration set can reliably capture the local skewness tilt across the feature space.

C3one line summary

Develops a skew-adaptive split conformal prediction method that learns local skewness via a gauge-derived conformity score and an asinh residual model while preserving marginal validity under exchangeability.

References

40 extracted · 40 resolved · 0 Pith anchors

[1] 2001 , publisher = 2001

[2] 2011 , publisher = 2011

[3] Progress in Artificial Intelligence , volume = 2014

[4] Journal of Applied Statistics , pages = 2025

[5] Pattern Recognition , volume = 2022

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:01:54.945187Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9d08a744d8983736acc76c3b05a76a83df162a4429fc3882b39e2b70dc23458e

Aliases

arxiv: 2605.16145 · arxiv_version: 2605.16145v1 · doi: 10.48550/arxiv.2605.16145 · pith_short_12: TUEKORGYTA3T · pith_short_16: TUEKORGYTA3TNLGH · pith_short_8: TUEKORGY

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/TUEKORGYTA3TNLGHNQ5QLJ3KQP \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 9d08a744d8983736acc76c3b05a76a83df162a4429fc3882b39e2b70dc23458e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3a4d77c4b3ac910a87930b89dd0f3c2ea18e7d0df117232bcf9f87082d1912dd",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2026-05-15T16:26:41Z",
    "title_canon_sha256": "37764f0be4b8f49d04643f0b037b737aa8714f2cf85b47c38cc4870a8d31d135"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.16145",
    "kind": "arxiv",
    "version": 1
  }
}