Pith Number
pith:ZPW62TZ2
pith:2026:ZPW62TZ2J4L7E7EKBPKBAUFJNR
not attested
not anchored
not stored
refs pending
A Methodology to Assess Power Modeling in Energy-Aware Federated Learning on Heterogeneous Mobile Devices
arxiv:2605.27601 v1 · 2026-05-26 · cs.DC · cs.LG · cs.PF
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZPW62TZ2J4L7E7EKBPKBAUFJNR}
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 | 2026-05-28T01:04:17.369341Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cbeded4f3a4f17f27c8a0bd41050a96c5d37ef8061e1f16124b5b80d83c8523b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZPW62TZ2J4L7E7EKBPKBAUFJNR \
| 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: cbeded4f3a4f17f27c8a0bd41050a96c5d37ef8061e1f16124b5b80d83c8523b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "dafbd07882f6f914f788e6ada8fa793702ae81bbc2d2fbfb23f1d7e8d273710a",
"cross_cats_sorted": [
"cs.LG",
"cs.PF"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2026-05-26T19:19:31Z",
"title_canon_sha256": "0bc0dc185d9fcd8ebdea40ecbac02541018ff72498c16a56041c9d7c2a6349b9"
},
"schema_version": "1.0",
"source": {
"id": "2605.27601",
"kind": "arxiv",
"version": 1
}
}