Pith Number
pith:LOD6W64V
pith:2022:LOD6W64VJEOQYPAVCRZAILNDT7
not attested
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refs pending
Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data
arxiv:2210.11164 v1 · 2022-10-20 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LOD6W64VJEOQYPAVCRZAILNDT7}
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Record completeness
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Bitcoin timestamp
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4
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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 | 2026-07-05T05:08:45.147375Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5b87eb7b95491d0c3c151472042da39fe146e3d4db1c38fa57a6a4c4fa83cd54
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LOD6W64VJEOQYPAVCRZAILNDT7 \
| 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: 5b87eb7b95491d0c3c151472042da39fe146e3d4db1c38fa57a6a4c4fa83cd54
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "81579e261b0c681a31013f7d57cddcfebdbeae870f9f56010131c6a05286c19c",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2022-10-20T11:03:21Z",
"title_canon_sha256": "87c8878cd630d9dea19877c85a974f46e51b8f22487277c3bf6add2a30bde062"
},
"schema_version": "1.0",
"source": {
"id": "2210.11164",
"kind": "arxiv",
"version": 1
}
}