Pith Number
pith:LXYFWR7R
pith:2024:LXYFWR7RWTAXM4R7H7LGLSUAHE
not attested
not anchored
not stored
refs pending
Modeling Zero-Inflated Correlated Dental Data through Gaussian Copulas and Approximate Bayesian Computation
arxiv:2410.13949 v2 · 2024-10-17 · stat.ME · stat.AP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LXYFWR7RWTAXM4R7H7LGLSUAHE}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:54:05.148944Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5df05b47f1b4c176723f3fd665ca803904d68542461af3f4e11540708a08e0e8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LXYFWR7RWTAXM4R7H7LGLSUAHE \
| 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: 5df05b47f1b4c176723f3fd665ca803904d68542461af3f4e11540708a08e0e8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "810221bac48d925027608e6f5c6621ee7d9de0d26060343d4c6532ee798cdada",
"cross_cats_sorted": [
"stat.AP"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2024-10-17T18:18:52Z",
"title_canon_sha256": "d25563cf6bda7fdc05aa500c8ac2731fce1e10e3e3548fc4a08b9a547dac4a97"
},
"schema_version": "1.0",
"source": {
"id": "2410.13949",
"kind": "arxiv",
"version": 2
}
}