Pith Number
pith:FORB36K2
pith:2018:FORB36K22YEXNNS43AEHV7CBC5
not attested
not anchored
not stored
refs pending
A Bayesian Approach to Multi-State Hidden Markov Models: Application to Dementia Progression
arxiv:1802.02691 v2 · 2018-02-08 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FORB36K22YEXNNS43AEHV7CBC5}
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 | 2026-05-18T00:08:54.661426Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2ba21df95ad60976b65cd8087afc41174957561a7656286e03b7ed41e4493150
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FORB36K22YEXNNS43AEHV7CBC5 \
| 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: 2ba21df95ad60976b65cd8087afc41174957561a7656286e03b7ed41e4493150
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ba3d3769ecd413d1bc34597b936f4b121b269a921e8b3a8fbdb8c31c8009f839",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2018-02-08T02:14:50Z",
"title_canon_sha256": "496d69cf5da7bcb69299617e8aedf4029eb3208a4e1d4995fd7ea07fe97935d8"
},
"schema_version": "1.0",
"source": {
"id": "1802.02691",
"kind": "arxiv",
"version": 2
}
}