Pith Number
pith:LZXAYKJF
pith:2021:LZXAYKJFWTLQRCGH64L4JXGEWY
not attested
not anchored
not stored
refs pending
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
arxiv:2102.00655 v1 · 2021-02-01 · cs.LG · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LZXAYKJFWTLQRCGH64L4JXGEWY}
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 | 2026-07-05T02:11:14.248336Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5e6e0c2925b4d70888c7f717c4dcc4b62d6c99292b697b55f2ab71c5f17ac4c0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LZXAYKJFWTLQRCGH64L4JXGEWY \
| 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: 5e6e0c2925b4d70888c7f717c4dcc4b62d6c99292b697b55f2ab71c5f17ac4c0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "55db402a0db141de56b9ca1a6337c357e2b75d3bdd3712d317931f6d994b970a",
"cross_cats_sorted": [
"cs.DC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-02-01T06:06:21Z",
"title_canon_sha256": "26465cd5c836621acb18a9e4ce653b54665bbdbc7ac3af7071fb19edbc1161c6"
},
"schema_version": "1.0",
"source": {
"id": "2102.00655",
"kind": "arxiv",
"version": 1
}
}