Pith Number
pith:2TKQRD3F
pith:2016:2TKQRD3F5WD35VLZDVCZYVUXUZ
not attested
not anchored
not stored
refs pending
Modeling Oral Glucose Tolerance Test (OGTT) data and its Bayesian Inverse Problem
arxiv:1601.04753 v2 · 2016-01-18 · stat.AP · q-bio.TO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2TKQRD3F5WD35VLZDVCZYVUXUZ}
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.
Receipt and verification
| First computed | 2026-05-17T23:46:22.252197Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d4d5088f65ed87bed5791d459c5697a645caab884c2b6a02cce379b60e0068bd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2TKQRD3F5WD35VLZDVCZYVUXUZ \
| 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: d4d5088f65ed87bed5791d459c5697a645caab884c2b6a02cce379b60e0068bd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7422dd56b5e1e7930762d6e46b6d473b608e0749841a74b0f8062001dbf86fbc",
"cross_cats_sorted": [
"q-bio.TO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.AP",
"submitted_at": "2016-01-18T23:05:35Z",
"title_canon_sha256": "2211cda218f1af2a9b087ddd51776cfe979d0dd2e22ddcf28b71681c466ddc8c"
},
"schema_version": "1.0",
"source": {
"id": "1601.04753",
"kind": "arxiv",
"version": 2
}
}