Pith Number
pith:JJKQZSJ7
pith:2025:JJKQZSJ76CIMTH5D3UNI4CBZPT
not attested
not anchored
not stored
refs pending
Optimal Batch-Size Control for Low-Latency Federated Learning with Device Heterogeneity
arxiv:2507.15601 v2 · 2025-07-21 · cs.LG · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JJKQZSJ76CIMTH5D3UNI4CBZPT}
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 | 2026-07-05T11:57:38.074601Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4a550cc93ff090c99fa3dd1a8e08397cc2470544171f3e241e5327334ddfc83e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JJKQZSJ76CIMTH5D3UNI4CBZPT \
| 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: 4a550cc93ff090c99fa3dd1a8e08397cc2470544171f3e241e5327334ddfc83e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "18582cd1586da82e5acae5479aaecbce82113e1314d3b63d4e3f279dffa7647c",
"cross_cats_sorted": [
"cs.SY",
"eess.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-21T13:24:38Z",
"title_canon_sha256": "e682388ae5ee29ab484f0ab0d335a0112f6d2ad235a63aa87f7b62b2d677da07"
},
"schema_version": "1.0",
"source": {
"id": "2507.15601",
"kind": "arxiv",
"version": 2
}
}