Pith Number
pith:QFNX6DVG
pith:2017:QFNX6DVGE5DPDTRBHUSCZTFCCZ
not attested
not anchored
not stored
refs pending
Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets
arxiv:1710.08531 v1 · 2017-10-23 · cs.LG · cs.CY · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QFNX6DVGE5DPDTRBHUSCZTFCCZ}
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.
Cited by
Receipt and verification
| First computed | 2026-05-18T00:32:15.756966Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
815b7f0ea62746f1ce213d242ccca21640242e17d95ef19f4d37c5d54f3854f4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QFNX6DVGE5DPDTRBHUSCZTFCCZ \
| 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: 815b7f0ea62746f1ce213d242ccca21640242e17d95ef19f4d37c5d54f3854f4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "af07b716385e506273f3d02c64e2d5a99de692b2d88530a1975a30985a6b5140",
"cross_cats_sorted": [
"cs.CY",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2017-10-23T22:23:34Z",
"title_canon_sha256": "3d485e2847df3f2b6f86fe47312939de0f3833052e7bc64a0093faa6eed1c33e"
},
"schema_version": "1.0",
"source": {
"id": "1710.08531",
"kind": "arxiv",
"version": 1
}
}