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Pith Number

pith:H5SI3FHF

pith:2018:H5SI3FHFWNP7KYYAMX5D3NEIQL
not attested not anchored not stored refs pending

A machine learning-based approach for estimating and testing associations with multivariate outcomes

Alan Hubbard, Andrew Mertens, Aryeh Stein, Benjamin F. Arnold, David Benkeser, John M. Colford Jr., Mark van der Laan, N. Lntshotshole Jumbe

arxiv:1803.04877 v2 · 2018-03-13 · stat.ME

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{H5SI3FHFWNP7KYYAMX5D3NEIQL}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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.
Receipt and verification
First computed 2026-05-18T00:21:04.103272Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

3f648d94e5b35ff5630065fa3db48882fec91d604d59fffe372e9ae2b538eca3

Aliases

arxiv: 1803.04877 · arxiv_version: 1803.04877v2 · doi: 10.48550/arxiv.1803.04877 · pith_short_12: H5SI3FHFWNP7 · pith_short_16: H5SI3FHFWNP7KYYA · pith_short_8: H5SI3FHF
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/H5SI3FHFWNP7KYYAMX5D3NEIQL \
  | 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: 3f648d94e5b35ff5630065fa3db48882fec91d604d59fffe372e9ae2b538eca3
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "e80c4c35811f43eefc9ccba7ac97e450d26762039b2c23f2d9f2102c2fef8960",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ME",
    "submitted_at": "2018-03-13T15:21:06Z",
    "title_canon_sha256": "255660923e88dab3867e14ec525092d7de5608c2dc280c92600394e363694e79"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1803.04877",
    "kind": "arxiv",
    "version": 2
  }
}