Pith Number
pith:BN5HOEV5
pith:2024:BN5HOEV5CKRFPGE2CAYCYWSRH6
not attested
not anchored
not stored
refs pending
Utilizing Machine Learning Models to Predict Acute Kidney Injury in Septic Patients from MIMIC-III Database
arxiv:2412.03737 v1 · 2024-12-04 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BN5HOEV5CKRFPGE2CAYCYWSRH6}
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 | 2026-07-05T09:44:40.519535Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0b7a7712bd12a257989a10302c5a513f830569a71b8b8a7181f7d059638df782
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BN5HOEV5CKRFPGE2CAYCYWSRH6 \
| 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: 0b7a7712bd12a257989a10302c5a513f830569a71b8b8a7181f7d059638df782
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "474f600e76060a3e7c9964c14ea34a9876ef11488edcf083f20f7785bbcae52d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-12-04T22:05:35Z",
"title_canon_sha256": "0b77f333758f9c21ae7453d4d5adc2b8e59d6087bfdb15c687b647fb40865a79"
},
"schema_version": "1.0",
"source": {
"id": "2412.03737",
"kind": "arxiv",
"version": 1
}
}