Pith Number
pith:JJNSNY6G
pith:2016:JJNSNY6GBNFZ6LE74W6OILUW5S
not attested
not anchored
not stored
refs pending
Efficient Markov Chain Monte Carlo Sampling for Hierarchical Hidden Markov Models
arxiv:1601.02698 v1 · 2016-01-12 · stat.CO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JJNSNY6GBNFZ6LE74W6OILUW5S}
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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 | 2026-05-18T01:23:01.674430Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4a5b26e3c60b4b9f2c9fe5bce42e96eca6b267d7c956049cb8fadf7cb1b4e0ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JJNSNY6GBNFZ6LE74W6OILUW5S \
| 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: 4a5b26e3c60b4b9f2c9fe5bce42e96eca6b267d7c956049cb8fadf7cb1b4e0ef
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "91bbc59416f673eece823a0fad9eb459c8177451f1c5133a5ee389a663554843",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.CO",
"submitted_at": "2016-01-12T00:09:18Z",
"title_canon_sha256": "ac9680d1613898bd59dd22b60ec06dad48aefa598a6b2ae16fb8aef465186704"
},
"schema_version": "1.0",
"source": {
"id": "1601.02698",
"kind": "arxiv",
"version": 1
}
}