Pith Number
pith:PQZ7X3PL
pith:2024:PQZ7X3PLJ6BGTHYPN2KXMTJ5HF
not attested
not anchored
not stored
refs pending
Low-Power Vibration-Based Predictive Maintenance for Industry 4.0 using Neural Networks: A Survey
arxiv:2408.00516 v1 · 2024-08-01 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PQZ7X3PLJ6BGTHYPN2KXMTJ5HF}
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 | 2026-07-05T08:51:05.027450Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7c33fbedeb4f82699f0f6e95764d3d394ca259939d508c8606044137006532ec
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PQZ7X3PLJ6BGTHYPN2KXMTJ5HF \
| 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: 7c33fbedeb4f82699f0f6e95764d3d394ca259939d508c8606044137006532ec
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "67b2b54f8478344a416f052ebb267cb3b7fe18893f744f12dc8c6cf0c2b7e088",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-08-01T12:46:37Z",
"title_canon_sha256": "a8509c305f4c563db0a87c9795e2fd6e5070f7060bde35779110f98c372fcab1"
},
"schema_version": "1.0",
"source": {
"id": "2408.00516",
"kind": "arxiv",
"version": 1
}
}