Pith Number
pith:M5WEMBFN
pith:2018:M5WEMBFN7RMUIEWL7LZEA4XNHF
not attested
not anchored
not stored
refs pending
Leveraging Clinical Time-Series Data for Prediction: A Cautionary Tale
arxiv:1811.12520 v1 · 2018-11-29 · cs.LG · stat.AP · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M5WEMBFN7RMUIEWL7LZEA4XNHF}
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 | 2026-05-17T23:59:29.380998Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
676c4604adfc594412cbfaf24072ed39699ce975dae250dfabaa7684ded50815
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M5WEMBFN7RMUIEWL7LZEA4XNHF \
| 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: 676c4604adfc594412cbfaf24072ed39699ce975dae250dfabaa7684ded50815
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6de7b8d15bbe5f08d6264456a646c8cd59ea4efccf7d3104f0fc77ae2ccf0f0c",
"cross_cats_sorted": [
"stat.AP",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-11-29T22:43:23Z",
"title_canon_sha256": "8c0075472259257f331f048306d098d5900bd9b8e71c37dd3322495caf57375e"
},
"schema_version": "1.0",
"source": {
"id": "1811.12520",
"kind": "arxiv",
"version": 1
}
}