Pith Number
pith:2EG7OJEX
pith:2018:2EG7OJEXG5PVUPVO62JTWLLPJ3
not attested
not anchored
not stored
refs pending
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning
arxiv:1801.07756 v5 · 2018-01-10 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2EG7OJEXG5PVUPVO62JTWLLPJ3}
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 | 2026-05-17T23:55:30.865240Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d10df72497375f5a3eaef6933b2d6f4ecb704ad34153860d3e3e158e8fa00057
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2EG7OJEXG5PVUPVO62JTWLLPJ3 \
| 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: d10df72497375f5a3eaef6933b2d6f4ecb704ad34153860d3e3e158e8fa00057
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "80ac039b4be7d4179729ffb100e388862255c951c35a80860b1947ddc5cb8bcf",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-01-10T11:42:30Z",
"title_canon_sha256": "5985aa01823ef73e1f5b57f7025eaec51d8185fc8323b8d091cbb9541e50ffd1"
},
"schema_version": "1.0",
"source": {
"id": "1801.07756",
"kind": "arxiv",
"version": 5
}
}