Pith Number
pith:GBGVEFWC
pith:2025:GBGVEFWC64RU2PFXSBJOQZJPF5
not attested
not anchored
not stored
refs pending
Clustered Federated Learning for Generalizable FDIA Detection in Smart Grids with Heterogeneous Data
arxiv:2507.14999 v2 · 2025-07-20 · cs.LG · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GBGVEFWC64RU2PFXSBJOQZJPF5}
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 | 2026-07-05T11:48:05.824699Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
304d5216c2f7234d3cb79052e8652f2f485a3433f9588e30311c913043b04b4c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GBGVEFWC64RU2PFXSBJOQZJPF5 \
| 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: 304d5216c2f7234d3cb79052e8652f2f485a3433f9588e30311c913043b04b4c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "20734388d7da7a9f8785ad9bea060a33d1cc82ec3f0b65f46c52deaa3591f0fc",
"cross_cats_sorted": [
"cs.SY",
"eess.SY"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-20T15:10:43Z",
"title_canon_sha256": "a94244b9b02cf1ba5fa1b16244acfe1eda63d214f682229df0d5e3c309b5442c"
},
"schema_version": "1.0",
"source": {
"id": "2507.14999",
"kind": "arxiv",
"version": 2
}
}