Pith Number
pith:CFBPMMWH
pith:2024:CFBPMMWHD7JFLN34PVJWQRVSLS
not attested
not anchored
not stored
refs pending
EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models
arxiv:2406.18087 v1 · 2024-06-26 · cs.SE · cs.AI · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CFBPMMWHD7JFLN34PVJWQRVSLS}
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 | 2026-07-05T08:36:54.963539Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1142f632c71fd255b77c7d536846b25cb22615e1789f7e5ee955b407eb5d92e2
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CFBPMMWHD7JFLN34PVJWQRVSLS \
| 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: 1142f632c71fd255b77c7d536846b25cb22615e1789f7e5ee955b407eb5d92e2
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "642f3b58cbcaa412a4307c230fad42886b4e8bc7df462a6140075beea23a8567",
"cross_cats_sorted": [
"cs.AI",
"cs.CL"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.SE",
"submitted_at": "2024-06-26T05:51:08Z",
"title_canon_sha256": "2ae5047929dead09ad827f8303aaadbc5b7eaa5bc139a5530fcff09039c929bf"
},
"schema_version": "1.0",
"source": {
"id": "2406.18087",
"kind": "arxiv",
"version": 1
}
}