Pith Number
pith:YAOXQBVY
pith:2011:YAOXQBVYKFJYD5CZLJOQYMH6FN
not attested
not anchored
not stored
refs pending
On the use of backward simulation in particle Markov chain Monte Carlo methods
arxiv:1110.2873 v2 · 2011-10-13 · stat.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YAOXQBVYKFJYD5CZLJOQYMH6FN}
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 | 2026-05-18T04:00:15.617643Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c01d7806b8515381f4595a5d0c30fe2b73a989e78dd55b78851c666575fce299
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YAOXQBVYKFJYD5CZLJOQYMH6FN \
| 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: c01d7806b8515381f4595a5d0c30fe2b73a989e78dd55b78851c666575fce299
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bb7ffc6078057ed18bcb68a670c3a6507b461e56cbc5be1a615bc716f788ea71",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2011-10-13T09:19:30Z",
"title_canon_sha256": "384d19c060c31cfe55911c0b9d13cdf555f61950989734a05cb6b654c52e449f"
},
"schema_version": "1.0",
"source": {
"id": "1110.2873",
"kind": "arxiv",
"version": 2
}
}