Pith Number
pith:ICRLUTCN
pith:2020:ICRLUTCNRMYJ5IH2RCF5WXXVYC
not attested
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refs pending
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data
arxiv:2007.10185 v1 · 2020-07-20 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ICRLUTCNRMYJ5IH2RCF5WXXVYC}
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
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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 | 2026-07-05T01:20:34.065941Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
40a2ba4c4d8b309ea0fa888bdb5ef5c0ae9f69d3b82682e755935d67e8c35374
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ICRLUTCNRMYJ5IH2RCF5WXXVYC \
| 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: 40a2ba4c4d8b309ea0fa888bdb5ef5c0ae9f69d3b82682e755935d67e8c35374
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e266543780949d64eed9ae09195bd1feb1d47982da1b6e85d738122ecd13cf8f",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-07-20T15:19:28Z",
"title_canon_sha256": "9e5b67d95a48ab77c6938ed4aa9b155b12888c37447ea2cdfaf0c58d2abdeac8"
},
"schema_version": "1.0",
"source": {
"id": "2007.10185",
"kind": "arxiv",
"version": 1
}
}