Pith Number
pith:BVA46PYN
pith:2019:BVA46PYNLWDJTM7YOWNGFFL4P3
not attested
not anchored
not stored
refs pending
A Bayesian approach for small area population estimates using multiple administrative records
arxiv:1904.11144 v3 · 2019-04-25 · stat.AP · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BVA46PYNLWDJTM7YOWNGFFL4P3}
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
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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.
Receipt and verification
| First computed | 2026-05-17T23:46:17.637855Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d41cf3f0d5d8699b3f8759a62957c7ec2c323aa4d45507bfec939044d685a38
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BVA46PYNLWDJTM7YOWNGFFL4P3 \
| 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: 0d41cf3f0d5d8699b3f8759a62957c7ec2c323aa4d45507bfec939044d685a38
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bad1c7446b827bf1a87f2dfe89e633ba2847ad77bbc550f83fcf692a19b9eba5",
"cross_cats_sorted": [
"stat.ME"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2019-04-25T03:42:05Z",
"title_canon_sha256": "1223f9e0b26627bcdbc68609a70460a50a523f0000977e060218aa69e37a570d"
},
"schema_version": "1.0",
"source": {
"id": "1904.11144",
"kind": "arxiv",
"version": 3
}
}