Pith Number
pith:2DCJKKME
pith:2019:2DCJKKME35E6ZEH5ZJCAID2TKU
not attested
not anchored
not stored
refs pending
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
arxiv:1908.00690 v1 · 2019-08-02 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2DCJKKME35E6ZEH5ZJCAID2TKU}
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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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 | 2026-07-04T23:51:08.444552Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d0c4952984df49ec90fdca44040f535526b96d0529af2ed9a0e025a184e66c98
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2DCJKKME35E6ZEH5ZJCAID2TKU \
| 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: d0c4952984df49ec90fdca44040f535526b96d0529af2ed9a0e025a184e66c98
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ae40aed790087b21ef509f534df55b0627e156c6597358968ea2e54cc1301d02",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-08-02T03:03:25Z",
"title_canon_sha256": "b63d6edb7f486399daf3be88d020309f0cf5e433d9f80d73afc381366f01e069"
},
"schema_version": "1.0",
"source": {
"id": "1908.00690",
"kind": "arxiv",
"version": 1
}
}