Pith Number
pith:UBMNY2GI
pith:2025:UBMNY2GIZ7PXQV4CUVDOQBYRWY
not attested
not anchored
not stored
refs pending
Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling
arxiv:2504.13462 v1 · 2025-04-18 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UBMNY2GIZ7PXQV4CUVDOQBYRWY}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:50:55.643038Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a058dc68c8cfdf785782a546e80711b61c4abc0b36168e18d30223796c9a9dc3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UBMNY2GIZ7PXQV4CUVDOQBYRWY \
| 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: a058dc68c8cfdf785782a546e80711b61c4abc0b36168e18d30223796c9a9dc3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9c47c03efb36cd76f6cfa53b33d81082f78e6ebae2d7003ba0ac456bb968d402",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-04-18T04:44:41Z",
"title_canon_sha256": "1ece80166c2094f6653cfb168d9f28983f97f3eb8b94be7efaf3d2607805a161"
},
"schema_version": "1.0",
"source": {
"id": "2504.13462",
"kind": "arxiv",
"version": 1
}
}