Pith Number
pith:ISY5RROZ
pith:2011:ISY5RROZ6WY2DO6XKSVD4VTJJV
not attested
not anchored
not stored
refs pending
Estimation of latent variable models for ordinal data via fully exponential Laplace approximation
arxiv:1105.1684 v1 · 2011-05-09 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ISY5RROZ6WY2DO6XKSVD4VTJJV}
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 | 2026-05-18T03:52:51.362402Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
44b1d8c5d9f5b1a1bbd754aa3e56694d5e16178eda5ae4cf8444f0fdb3b1b8ad
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ISY5RROZ6WY2DO6XKSVD4VTJJV \
| 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: 44b1d8c5d9f5b1a1bbd754aa3e56694d5e16178eda5ae4cf8444f0fdb3b1b8ad
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6ee1e41fdda24318b8fa58f9c0ac80a7e99a28e82bcda515c586858d760a9228",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2011-05-09T14:28:14Z",
"title_canon_sha256": "19f6e4a6fb7abfedc68e28b5016a950b1fed68c7558de41e238488e2cd399e67"
},
"schema_version": "1.0",
"source": {
"id": "1105.1684",
"kind": "arxiv",
"version": 1
}
}