Pith Number
pith:C4T5XJ4O
pith:2024:C4T5XJ4O7W7B4H7HMBPUG3IAE3
not attested
not anchored
not stored
refs pending
Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling
arxiv:2402.10097 v3 · 2024-02-15 · cs.LG · cs.NI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{C4T5XJ4O7W7B4H7HMBPUG3IAE3}
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 | 2026-07-05T08:18:49.273685Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1727dba78efdbe1e1fe7605f436d0026ce7f0ca81f9ddeb7092b61bc758a84f5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/C4T5XJ4O7W7B4H7HMBPUG3IAE3 \
| 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: 1727dba78efdbe1e1fe7605f436d0026ce7f0ca81f9ddeb7092b61bc758a84f5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "15e254b1f97213378ac79934823736c429c682749dbfdcc673110b5a0727218e",
"cross_cats_sorted": [
"cs.NI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-02-15T16:51:38Z",
"title_canon_sha256": "f4ce63731f8b50db52ee9b78c249692e9b355ae6f49b92303f6685af8ebc7bc1"
},
"schema_version": "1.0",
"source": {
"id": "2402.10097",
"kind": "arxiv",
"version": 3
}
}