Pith Number
pith:M6URKLDE
pith:2023:M6URKLDEXVY77S5GFAF4ZRWZM6
not attested
not anchored
not stored
refs pending
Speed Up Federated Learning in Heterogeneous Environment: A Dynamic Tiering Approach
arxiv:2312.05642 v1 · 2023-12-09 · cs.LG · cs.AI · cs.MA · cs.PF
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{M6URKLDEXVY77S5GFAF4ZRWZM6}
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 | 2026-07-05T07:22:30.117757Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
67a9152c64bd71ffcba6280bccc6d967a5c2ce84ecd61cfcedd23a5519f8ae03
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/M6URKLDEXVY77S5GFAF4ZRWZM6 \
| 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: 67a9152c64bd71ffcba6280bccc6d967a5c2ce84ecd61cfcedd23a5519f8ae03
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7257bf1118c66d257e145cd73e93a0d4f6a5e65e9785a9e4aacf96f8ba7851e0",
"cross_cats_sorted": [
"cs.AI",
"cs.MA",
"cs.PF"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-12-09T19:09:19Z",
"title_canon_sha256": "02ec32db63e01d5f74f8bd4b88443640f79c022bdfb66a2120aa3af5e038f042"
},
"schema_version": "1.0",
"source": {
"id": "2312.05642",
"kind": "arxiv",
"version": 1
}
}