Pith Number
pith:FYAQXMCT
pith:2017:FYAQXMCTMW46OYVARAPQ6L46Y3
not attested
not anchored
not stored
refs pending
Pre-Processing-Free Gear Fault Diagnosis Using Small Datasets with Deep Convolutional Neural Network-Based Transfer Learning
arxiv:1710.08904 v1 · 2017-10-24 · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FYAQXMCTMW46OYVARAPQ6L46Y3}
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 | 2026-05-18T00:02:13.206990Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2e010bb05365b9e762a0881f0f2f9ec6f6f99328d8c6b840c1fd4720cf0ee9b0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FYAQXMCTMW46OYVARAPQ6L46Y3 \
| 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: 2e010bb05365b9e762a0881f0f2f9ec6f6f99328d8c6b840c1fd4720cf0ee9b0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "db654206e179829e52f7bedfd9574e5e1ed5661f8d8ff428af44e073441d0358",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2017-10-24T17:39:00Z",
"title_canon_sha256": "57c2500a532229a3b334ba29d00e2813021cf18e2a6845ca375296b470ba1c67"
},
"schema_version": "1.0",
"source": {
"id": "1710.08904",
"kind": "arxiv",
"version": 1
}
}