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Pith Number

pith:XLZQLNDA

pith:2021:XLZQLNDABPFSP5UI6CJL25ETXC
not attested not anchored not stored refs pending

Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison

Fan Li, Jason Poulos, Olanrewaju Akande, Zhenhua Wang

arxiv:2103.09316 v3 · 2021-03-14 · cs.LG · stat.AP · stat.ML

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\usepackage{pith}
\pithnumber{XLZQLNDABPFSP5UI6CJL25ETXC}

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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
Portable graph bundle live · download bundle · merged state
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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-07-05T04:06:29.497190Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

baf305b4600bcb27f688f092bd7493b8a01fac266ab39b3e378559a723bb011d

Aliases

arxiv: 2103.09316 · arxiv_version: 2103.09316v3 · doi: 10.48550/arxiv.2103.09316 · pith_short_12: XLZQLNDABPFS · pith_short_16: XLZQLNDABPFSP5UI · pith_short_8: XLZQLNDA
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XLZQLNDABPFSP5UI6CJL25ETXC \
  | 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: baf305b4600bcb27f688f092bd7493b8a01fac266ab39b3e378559a723bb011d
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "7f188511943a42dfafac10b309d6444c4c46f98032c1e6c41e5de76f5300269f",
    "cross_cats_sorted": [
      "stat.AP",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2021-03-14T16:24:04Z",
    "title_canon_sha256": "176c920b0e9a37c5cf54a5f3ba4ef7e817bf9b64645afbdf2eccab7f41ac7597"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2103.09316",
    "kind": "arxiv",
    "version": 3
  }
}