Pith Number
pith:YAMQO3QG
pith:2023:YAMQO3QG6DBBQX6GLZRXQG5NCS
not attested
not anchored
not stored
refs pending
An Ensemble Deep Learning Approach for COVID-19 Severity Prediction Using Chest CT Scans
arxiv:2305.10115 v1 · 2023-05-17 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YAMQO3QG6DBBQX6GLZRXQG5NCS}
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 | 2026-07-05T06:11:09.801927Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c019076e06f0c2185fc65e63781bad1488258df9d0bb708e3f06096c5752fef1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YAMQO3QG6DBBQX6GLZRXQG5NCS \
| 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: c019076e06f0c2185fc65e63781bad1488258df9d0bb708e3f06096c5752fef1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "257e1ef7e9c604ce56b386f4dcfe861b5a4c39a89dcfb1c4c283ebb11da99bff",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-05-17T10:43:15Z",
"title_canon_sha256": "181752541852c0faf4f02836597f8f26e70a468f6baed751a973226cafb94670"
},
"schema_version": "1.0",
"source": {
"id": "2305.10115",
"kind": "arxiv",
"version": 1
}
}