Pith Number
pith:NGM7R4YW
pith:2022:NGM7R4YWVTXR4Y2UXY7MQMLBMA
not attested
not anchored
not stored
refs pending
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling
arxiv:2209.05424 v1 · 2022-09-12 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NGM7R4YWVTXR4Y2UXY7MQMLBMA}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:56:30.380334Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6999f8f316acef1e6354be3ec831616027e8b95b54668bb0fe465e8baf43e7f1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NGM7R4YWVTXR4Y2UXY7MQMLBMA \
| 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: 6999f8f316acef1e6354be3ec831616027e8b95b54668bb0fe465e8baf43e7f1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bc4cd0e4461b06c5d2ee77e65434578fad9813d961bff68f8df77963a2d21e7f",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-09-12T17:30:10Z",
"title_canon_sha256": "264945e897560cfe9df0e2ff303fc2e841955c77d478241e4c2abae739bb2f17"
},
"schema_version": "1.0",
"source": {
"id": "2209.05424",
"kind": "arxiv",
"version": 1
}
}