Pith Number
pith:ZUWBKSKJ
pith:2022:ZUWBKSKJ3RR626AIVC5AIQUODL
not attested
not anchored
not stored
refs pending
On the Importance and Applicability of Pre-Training for Federated Learning
arxiv:2206.11488 v3 · 2022-06-23 · cs.LG · cs.AI · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZUWBKSKJ3RR626AIVC5AIQUODL}
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 | 2026-07-05T05:53:48.628290Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cd2c154949dc63ed7808a8ba04428e1ad9b23ffcfa47f18deffee24d09c85591
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZUWBKSKJ3RR626AIVC5AIQUODL \
| 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: cd2c154949dc63ed7808a8ba04428e1ad9b23ffcfa47f18deffee24d09c85591
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1baeeb0402c7232a61f5de1595905b5b9896dc2f73c7febf5442062c6cbd8410",
"cross_cats_sorted": [
"cs.AI",
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-06-23T06:02:33Z",
"title_canon_sha256": "9f0844c6bff967117ae233c17f1ba6eb1405440198cc8c1441a6778e473c43eb"
},
"schema_version": "1.0",
"source": {
"id": "2206.11488",
"kind": "arxiv",
"version": 3
}
}