Pith Number
pith:44MRCLGH
pith:2020:44MRCLGHD34B63GXHRC3MBAICJ
not attested
not anchored
not stored
refs pending
Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research
arxiv:2001.09765 v1 · 2020-01-13 · cs.CY · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{44MRCLGHD34B63GXHRC3MBAICJ}
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
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claim
4
Citations
5
Replications
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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
Receipt and verification
| First computed | 2026-07-05T00:36:03.544997Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e719112cc71ef81f6cd73c45b604081252189691960a523596942e89a99ff3ba
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/44MRCLGHD34B63GXHRC3MBAICJ \
| 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: e719112cc71ef81f6cd73c45b604081252189691960a523596942e89a99ff3ba
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d58ebc0d7db94a5e5f7e4646128bb75dccd336b2eb74a45534ac34e8cde727bf",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CY",
"submitted_at": "2020-01-13T22:58:48Z",
"title_canon_sha256": "264230e641cf19ad64ff9286daa776cc3eaf0ad793b439458c824697830b76cf"
},
"schema_version": "1.0",
"source": {
"id": "2001.09765",
"kind": "arxiv",
"version": 1
}
}