Pith Number
pith:DLLPCCUO
pith:2015:DLLPCCUOE23UCV55XNDWF4MDOK
not attested
not anchored
not stored
refs pending
Sequential Markov Chain Monte Carlo for Bayesian Filtering with Massive Data
arxiv:1512.02452 v1 · 2015-12-08 · stat.CO · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DLLPCCUOE23UCV55XNDWF4MDOK}
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.
Receipt and verification
| First computed | 2026-05-18T01:24:44.648082Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1ad6f10a8e26b74157bdbb4762f183728cd5b532058ec2ceaeb08ae514df7f0d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DLLPCCUOE23UCV55XNDWF4MDOK \
| 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: 1ad6f10a8e26b74157bdbb4762f183728cd5b532058ec2ceaeb08ae514df7f0d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "08007095d775846c561afdb789a15d4d81f218d3c27aa92a06543d0275ef370f",
"cross_cats_sorted": [
"stat.AP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2015-12-08T13:20:03Z",
"title_canon_sha256": "e46036bca9073e11f93d551d562a694f27a6ea5bb58b3360f345a9eecef429d0"
},
"schema_version": "1.0",
"source": {
"id": "1512.02452",
"kind": "arxiv",
"version": 1
}
}