Pith Number
pith:T3UZTKCG
pith:2024:T3UZTKCGXMPIVS2XG34D66W5BL
not attested
not anchored
not stored
refs pending
Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data
arxiv:2401.06866 v2 · 2024-01-12 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{T3UZTKCGXMPIVS2XG34D66W5BL}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:12:47.486132Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9ee999a846bb1e8acb5736f83f7add0ac81db987589e47f06f62ddf8e75dae65
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/T3UZTKCGXMPIVS2XG34D66W5BL \
| 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: 9ee999a846bb1e8acb5736f83f7add0ac81db987589e47f06f62ddf8e75dae65
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "23a5491ae92ec3ffb33fba533bdbe09555dd3feca8a64662a04d594b3e97c669",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2024-01-12T19:40:11Z",
"title_canon_sha256": "3eebfe48a4593381d4ef8c7f0867c7b63f5ddf6bbb265e45d5db522cb3a11519"
},
"schema_version": "1.0",
"source": {
"id": "2401.06866",
"kind": "arxiv",
"version": 2
}
}