Pith Number
pith:7Y5G7WQD
pith:2026:7Y5G7WQDZ3EE6SFJPXWGDL3RWG
not attested
not anchored
not stored
refs pending
LLMs for Cardiovascular Risk Prediction from Structured Clinical Data
arxiv:2606.00031 v1 · 2026-04-21 · cs.CL · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7Y5G7WQDZ3EE6SFJPXWGDL3RWG}
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 | 2026-06-02T00:03:12.839796Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fe3a6fda03cec84f48a97dec61af71b1a9cb582b945fdf1a08070a89cad6f5b9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7Y5G7WQDZ3EE6SFJPXWGDL3RWG \
| 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: fe3a6fda03cec84f48a97dec61af71b1a9cb582b945fdf1a08070a89cad6f5b9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0a4e30a638abd7cfd6eae33c2157e5a15557e018cee17b3dd0117a128e52dbd7",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-04-21T00:16:05Z",
"title_canon_sha256": "27a06073b90f8fe51bddca2e76e32f9411dcd658fcd0a25c2fbfe865a22751bd"
},
"schema_version": "1.0",
"source": {
"id": "2606.00031",
"kind": "arxiv",
"version": 1
}
}