Pith Number
pith:BNBR2YKX
pith:2025:BNBR2YKX4P2GEDADVL3JLUXMWU
not attested
not anchored
not stored
refs pending
Advances in Approximate Bayesian Inference for Models in Epidemiology
arxiv:2504.19698 v1 · 2025-04-28 · stat.ME · stat.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BNBR2YKX4P2GEDADVL3JLUXMWU}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:55:01.576734Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b431d6157e3f4620c03aaf695d2ecb52435d35d4c971254cf660604672e159b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BNBR2YKX4P2GEDADVL3JLUXMWU \
| 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: 0b431d6157e3f4620c03aaf695d2ecb52435d35d4c971254cf660604672e159b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "93b62f0f6abcac87f35dda0d2c4f8292d9305469779b4913517472a9f631bb92",
"cross_cats_sorted": [
"stat.CO"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "stat.ME",
"submitted_at": "2025-04-28T11:52:27Z",
"title_canon_sha256": "6fb5850d8cfc9d6e7b7a7b5d29c18d5008a441ba318b0cf22edbf29d88cc5ee0"
},
"schema_version": "1.0",
"source": {
"id": "2504.19698",
"kind": "arxiv",
"version": 1
}
}