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pith:KPUHXPWF

pith:2017:KPUHXPWFP63UNUALGDXY6S3KN3
not attested not anchored not stored refs pending

The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square

Emmanuel J. Cand\`es, Pragya Sur, Yuxin Chen

arxiv:1706.01191 v1 · 2017-06-05 · math.ST · cs.IT · math.IT · math.PR · stat.ML · stat.TH

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\usepackage{pith}
\pithnumber{KPUHXPWFP63UNUALGDXY6S3KN3}

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Record completeness

1 Bitcoin timestamp
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.

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1 paper in Pith

Receipt and verification
First computed 2026-05-18T00:43:04.233130Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

53e87bbec57fb746d00b30ef8f4b6a6ee69d6c7d83b71bfb07ca432c80661793

Aliases

arxiv: 1706.01191 · arxiv_version: 1706.01191v1 · doi: 10.48550/arxiv.1706.01191 · pith_short_12: KPUHXPWFP63U · pith_short_16: KPUHXPWFP63UNUAL · pith_short_8: KPUHXPWF
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KPUHXPWFP63UNUALGDXY6S3KN3 \
  | 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: 53e87bbec57fb746d00b30ef8f4b6a6ee69d6c7d83b71bfb07ca432c80661793
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "fef588c9e09a55a2f4784162764b3e4a3b15b570c619998df0116c8992153fb6",
    "cross_cats_sorted": [
      "cs.IT",
      "math.IT",
      "math.PR",
      "stat.ML",
      "stat.TH"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.ST",
    "submitted_at": "2017-06-05T05:21:07Z",
    "title_canon_sha256": "ff7986a46d9a2a49c8e8ee140c46bdd5d84d97e891ebc0d6ff1489b9edb43858"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1706.01191",
    "kind": "arxiv",
    "version": 1
  }
}