Pith Number
pith:JZMERVE7
pith:2026:JZMERVE7OJNSRIU5CJS565HXEU
not attested
not anchored
not stored
refs pending
LLM-Powered Personalized Glycemic Assessment in Type 2 Diabetes with Wearable Sensor Data
arxiv:2606.12699 v1 · 2026-06-10 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JZMERVE7OJNSRIU5CJS565HXEU}
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 | 2026-06-12T01:08:46.112222Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4e5848d49f725b28a29d1265df74f7252b514c1c419b5faf0653af4083354625
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JZMERVE7OJNSRIU5CJS565HXEU \
| 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: 4e5848d49f725b28a29d1265df74f7252b514c1c419b5faf0653af4083354625
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f6fef1150d015ab10600fff6bcfc0dfdafb51beeb482c5ae4b74e89c021163e8",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-10T21:39:02Z",
"title_canon_sha256": "6fc756eb282dd04ce2cc639d77e2a9bbd87ceff71ea702ebfe11032b2690b0cf"
},
"schema_version": "1.0",
"source": {
"id": "2606.12699",
"kind": "arxiv",
"version": 1
}
}