Pith Number
pith:VFDLAKRQ
pith:2025:VFDLAKRQNETV2DEDXX4HI7DPRZ
not attested
not anchored
not stored
refs pending
LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data
arxiv:2501.01850 v1 · 2025-01-03 · cs.LG · cs.AI · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VFDLAKRQNETV2DEDXX4HI7DPRZ}
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
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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 | 2026-07-05T09:56:42.029571Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a946b02a3069275d0c83bdf8747c6f8e411ccaa2c743f1f5495460edf5725a42
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VFDLAKRQNETV2DEDXX4HI7DPRZ \
| 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: a946b02a3069275d0c83bdf8747c6f8e411ccaa2c743f1f5495460edf5725a42
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fbff9be40ac5fb6594b923b251ecae28f78285b887de56500e8d60bae82e9467",
"cross_cats_sorted": [
"cs.AI",
"cs.DC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-03T14:59:48Z",
"title_canon_sha256": "32f2c896da1f839e102f9553507571982eb50f4016b2812b3c92081b3e7a7198"
},
"schema_version": "1.0",
"source": {
"id": "2501.01850",
"kind": "arxiv",
"version": 1
}
}