Pith Number

pith:NIREPFO2

pith:2025:NIREPFO2LETWVKRJLZB5BZANJY

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Symbolic Quantile Regression for the Interpretable Prediction of Conditional Quantiles

Cas Oude Hoekstra, Floris den Hengst

Adapting symbolic regression to quantile loss produces readable models that match black-box performance for conditional quantiles.

arxiv:2508.08080 v3 · 2025-08-11 · cs.LG · cs.NE · stat.AP

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\usepackage{pith}
\pithnumber{NIREPFO2LETWVKRJLZB5BZANJY}

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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

In an extensive evaluation, we find that SQR outperforms transparent models and performs comparably to a strong black-box baseline without compromising transparency.

C2weakest assumption

The assumption that symbolic regression search can be successfully adapted to a quantile objective while retaining both predictive performance and human-readable model structure (stated in the abstract description of the SQR approach).

C3one line summary

Symbolic Quantile Regression extends symbolic regression to estimate conditional quantiles while preserving interpretability and competitive performance.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:05:32.442816Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6a224795da59276aaa295e43d0e40d4e226339da5c5ec48b96eba4c395166e89

Aliases

arxiv: 2508.08080 · arxiv_version: 2508.08080v3 · doi: 10.48550/arxiv.2508.08080 · pith_short_12: NIREPFO2LETW · pith_short_16: NIREPFO2LETWVKRJ · pith_short_8: NIREPFO2

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/NIREPFO2LETWVKRJLZB5BZANJY \
  | 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: 6a224795da59276aaa295e43d0e40d4e226339da5c5ec48b96eba4c395166e89

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "87a42c5450725477c5607d246f208987881b54ed12f23a1720534fd5a3c5a7cb",
    "cross_cats_sorted": [
      "cs.NE",
      "stat.AP"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-08-11T15:27:40Z",
    "title_canon_sha256": "e5bc2a26bdd5929bb92891bfe4ba0a889980956165473d56d4eecce54dcfcef3"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2508.08080",
    "kind": "arxiv",
    "version": 3
  }
}