Pith Number
pith:6CLJ3X2O
pith:2024:6CLJ3X2OW2JDXD4OFKF43IHCEK
not attested
not anchored
not stored
refs pending
Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks
arxiv:2404.02304 v1 · 2024-04-02 · cs.LG · cs.AI · cs.ET
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6CLJ3X2OW2JDXD4OFKF43IHCEK}
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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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 | 2026-07-05T10:25:05.609210Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f0969ddf4eb6923b8f8e2a8bcda0e2229b2bdb500c5a9da09f37d20644ba50e5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6CLJ3X2OW2JDXD4OFKF43IHCEK \
| 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: f0969ddf4eb6923b8f8e2a8bcda0e2229b2bdb500c5a9da09f37d20644ba50e5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8ad81539df94e1529cd1062f6692a15957b5df9a761ca859b8806db974937d43",
"cross_cats_sorted": [
"cs.AI",
"cs.ET"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-04-02T21:03:17Z",
"title_canon_sha256": "d6c729dbe643e5d3a514c6434c3ec7b005a62f65f2d1f294f5ec9e2461520f4a"
},
"schema_version": "1.0",
"source": {
"id": "2404.02304",
"kind": "arxiv",
"version": 1
}
}