Pith Number
pith:BRPWJ3CH
pith:2022:BRPWJ3CHLPJXQZOENUA43X5LEQ
not attested
not anchored
not stored
refs pending
FedNoiL: A Simple Two-Level Sampling Method for Federated Learning with Noisy Labels
arxiv:2205.10110 v1 · 2022-05-20 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BRPWJ3CHLPJXQZOENUA43X5LEQ}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:25:03.410328Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0c5f64ec475bd37865c46d01cddfab24283dab6c1b7b7d2fda50568926bdfa75
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BRPWJ3CHLPJXQZOENUA43X5LEQ \
| 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: 0c5f64ec475bd37865c46d01cddfab24283dab6c1b7b7d2fda50568926bdfa75
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "444a59165d9c33a9bbc8fce68e49f342c2cb541a003a7dfa82a0dc527df1ed04",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-05-20T12:06:39Z",
"title_canon_sha256": "25d97c9f7f8ed2130d497df217ec1e95641de8a598a8b1cd276da542fba6f5c4"
},
"schema_version": "1.0",
"source": {
"id": "2205.10110",
"kind": "arxiv",
"version": 1
}
}