Pith Number
pith:5EHWVATQ
pith:2021:5EHWVATQX5GVXHAPEO3UWLA5NS
not attested
not anchored
not stored
refs pending
Machine Learning Approaches for Type 2 Diabetes Prediction and Care Management
arxiv:2104.07820 v2 · 2021-04-15 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5EHWVATQX5GVXHAPEO3UWLA5NS}
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 | 2026-07-05T02:36:10.845813Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e90f6a8270bf4d5b9c0f23b74b2c1d6c91122a1b7d32f6e0426d8f51256abfac
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5EHWVATQX5GVXHAPEO3UWLA5NS \
| 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: e90f6a8270bf4d5b9c0f23b74b2c1d6c91122a1b7d32f6e0426d8f51256abfac
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2711d928ac82a8b07c39d45088f5af3930d82b9fc35da259982fb2ce9bb6c5d8",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-04-15T23:38:39Z",
"title_canon_sha256": "b8ed972ad35717854e8ca3a2433e5b00840dc6363926b5b6979c8e0184c32c63"
},
"schema_version": "1.0",
"source": {
"id": "2104.07820",
"kind": "arxiv",
"version": 2
}
}