Pith Number
pith:HL5MRLDG
pith:2023:HL5MRLDG2EI4IWNUT2IMQL4P5V
not attested
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not stored
refs pending
Efficient Training of Large-scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout
arxiv:2302.11485 v1 · 2023-02-22 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HL5MRLDG2EI4IWNUT2IMQL4P5V}
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Record completeness
1
Bitcoin timestamp
2
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3
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4
Citations
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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 | 2026-07-05T05:44:44.240108Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3afac8ac66d111c459b49e90c82f8fed7461c9ff0b791baa1400da822a973ef4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HL5MRLDG2EI4IWNUT2IMQL4P5V \
| 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: 3afac8ac66d111c459b49e90c82f8fed7461c9ff0b791baa1400da822a973ef4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f4d4b447f522f3aba22dba95b5cad6cf14ca605c87f7714fe29f22ac7d39f8bc",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-02-22T16:32:44Z",
"title_canon_sha256": "8cae9dc7e6b26580ed2ee79b8b3b7a03bd3f95776762cad8a2e68a3f939c01f6"
},
"schema_version": "1.0",
"source": {
"id": "2302.11485",
"kind": "arxiv",
"version": 1
}
}