Pith Number
pith:UFNCHGNB
pith:2016:UFNCHGNBE4ZGELOTQRLU6RXQIS
not attested
not anchored
not stored
refs pending
Transfer Learning via Latent Factor Modeling to Improve Prediction of Surgical Complications
arxiv:1612.00555 v1 · 2016-12-02 · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UFNCHGNBE4ZGELOTQRLU6RXQIS}
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 | 2026-05-18T00:55:59.698228Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a15a2399a12732622dd384574f46f044aed7c7636ab58e21b931ffab0093bb8b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UFNCHGNBE4ZGELOTQRLU6RXQIS \
| 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: a15a2399a12732622dd384574f46f044aed7c7636ab58e21b931ffab0093bb8b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "53a0b4992a9f893e623fedf0b3ce36fd2b5c14acf13d2bdd390121af0f31b9d4",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ML",
"submitted_at": "2016-12-02T03:35:48Z",
"title_canon_sha256": "fb3b827d2dffa03afc06858c1e7425c03a8a2b00059590c961f4c00ff941a8bc"
},
"schema_version": "1.0",
"source": {
"id": "1612.00555",
"kind": "arxiv",
"version": 1
}
}