Pith Number
pith:UHRB7TAO
pith:2022:UHRB7TAO7W3BUCOYKEELXFYTKU
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refs pending
Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach
arxiv:2206.15192 v1 · 2022-06-30 · cs.LG · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UHRB7TAO7W3BUCOYKEELXFYTKU}
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 | 2026-07-05T04:36:26.458628Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a1e21fcc0efdb61a09d85108bb971355353766e10074bfffa89af604b0a36741
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UHRB7TAO7W3BUCOYKEELXFYTKU \
| 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: a1e21fcc0efdb61a09d85108bb971355353766e10074bfffa89af604b0a36741
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "84d9175058e1175fe1466b9a9286168f6f0ab3a8c4b5e75f26b67ae15ec1740b",
"cross_cats_sorted": [
"cs.SY",
"eess.SY"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-06-30T11:13:26Z",
"title_canon_sha256": "0883895ce8a39b3eb966f957e2b0e1951505dcb9242d409db24d771fbf4d1549"
},
"schema_version": "1.0",
"source": {
"id": "2206.15192",
"kind": "arxiv",
"version": 1
}
}