Pith Number
pith:QLIFEICJ
pith:2025:QLIFEICJWZXXHCBA4DSWAZT6CX
not attested
not anchored
not stored
refs pending
UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data
arxiv:2506.08167 v1 · 2025-06-09 · cs.LG · cs.AI · cs.CV · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QLIFEICJWZXXHCBA4DSWAZT6CX}
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 | 2026-07-05T11:18:45.718863Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
82d0522049b66f738820e0e560667e15ee7e333b26758d1d0fff3ecab1804bf6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QLIFEICJWZXXHCBA4DSWAZT6CX \
| 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: 82d0522049b66f738820e0e560667e15ee7e333b26758d1d0fff3ecab1804bf6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3d563ac6fb967af26c9fb01ef320d81a44dd39e23e4a7560fd260a716b801e03",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"cs.DC"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-06-09T19:25:35Z",
"title_canon_sha256": "aee0cb26812417fdf5a514088740634b9883f75ed7d0a149c1509012208c54be"
},
"schema_version": "1.0",
"source": {
"id": "2506.08167",
"kind": "arxiv",
"version": 1
}
}