Pith Number
pith:SK4CS7B2
pith:2025:SK4CS7B2L3DRYN2EQKB75YTEHX
not attested
not anchored
not stored
refs pending
Debunking Optimization Myths in Federated Learning for Medical Image Classification
arxiv:2507.19822 v1 · 2025-07-26 · cs.LG · eess.IV · eess.SP
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SK4CS7B2L3DRYN2EQKB75YTEHX}
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
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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 | 2026-07-05T11:43:42.671996Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
92b8297c3a5ec71c37448283fee2643dd943a835659e39c7d2b26a0e863df400
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SK4CS7B2L3DRYN2EQKB75YTEHX \
| 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: 92b8297c3a5ec71c37448283fee2643dd943a835659e39c7d2b26a0e863df400
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a3550229e3fe64c67ab5b2013f399406a730d42f6e25de34f2e407f225913918",
"cross_cats_sorted": [
"eess.IV",
"eess.SP"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-26T06:41:17Z",
"title_canon_sha256": "8018cebebd805a022f1cdd912e68c07050313fc00ab6c3c5334c8ab1c402ba10"
},
"schema_version": "1.0",
"source": {
"id": "2507.19822",
"kind": "arxiv",
"version": 1
}
}