Pith Number
pith:FCEMOSAR
pith:2018:FCEMOSARMVJOBS7IRMLHDMMJWP
not attested
not anchored
not stored
refs pending
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning
arxiv:1811.12276 v2 · 2018-11-29 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FCEMOSARMVJOBS7IRMLHDMMJWP}
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 | 2026-05-17T23:59:13.603645Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2888c748116552e0cbe88b1671b189b3f81e2ac2d079ae442e5d133cda2b5837
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FCEMOSARMVJOBS7IRMLHDMMJWP \
| 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: 2888c748116552e0cbe88b1671b189b3f81e2ac2d079ae442e5d133cda2b5837
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "75d3f993ce67ca644ab0ddd057b96732558e11f002c039910c7b5dec65817a72",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2018-11-29T16:10:41Z",
"title_canon_sha256": "4e6d15a6a7fd324193809f06988487967149f45c4a8e05ffbbff306be67de82b"
},
"schema_version": "1.0",
"source": {
"id": "1811.12276",
"kind": "arxiv",
"version": 2
}
}