Pith Number
pith:ANYWUPLH
pith:2023:ANYWUPLHLK77OGB2HRNM54FYLR
not attested
not anchored
not stored
refs pending
Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations
arxiv:2306.04700 v2 · 2023-06-07 · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ANYWUPLHLK77OGB2HRNM54FYLR}
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
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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 | 2026-07-05T10:46:52.380212Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
03716a3d675abff7183a3c5acef0b85c742e9467bdc81077a77fd8d36db4bf36
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ANYWUPLHLK77OGB2HRNM54FYLR \
| 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: 03716a3d675abff7183a3c5acef0b85c742e9467bdc81077a77fd8d36db4bf36
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7fa2b786203672c441d0bc653955f0e776365ec3bc92e880335e4a5862d90701",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2023-06-07T18:07:25Z",
"title_canon_sha256": "11ad527d2531ff643a66e3c45f26db04dc23df0239f27d3905f85edc21a6e3b7"
},
"schema_version": "1.0",
"source": {
"id": "2306.04700",
"kind": "arxiv",
"version": 2
}
}