Pith Number
pith:TMUMABM7
pith:2021:TMUMABM7EFOL63UHAXHIS5KVHT
not attested
not anchored
not stored
refs pending
FedHealth 2: Weighted Federated Transfer Learning via Batch Normalization for Personalized Healthcare
arxiv:2106.01009 v2 · 2021-06-02 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{TMUMABM7EFOL63UHAXHIS5KVHT}
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 | 2026-07-05T02:59:37.574459Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
9b28c0059f215cbf6e8705ce8975553cd83e746a80e75251a9df0f20faa186d8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/TMUMABM7EFOL63UHAXHIS5KVHT \
| 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: 9b28c0059f215cbf6e8705ce8975553cd83e746a80e75251a9df0f20faa186d8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bdd5b5b1c5156f3df194b7178aca22dbf07d32aa7c803dcda5b64b85e94a8f42",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-06-02T08:10:50Z",
"title_canon_sha256": "496126879d30d50075dd5c107fed245ddc2cb4b149e29787fbc4a897129d7fb8"
},
"schema_version": "1.0",
"source": {
"id": "2106.01009",
"kind": "arxiv",
"version": 2
}
}