Pith Number
pith:QEBVRFLF
pith:2024:QEBVRFLFS6JKTBJT4SRR6F7HGJ
not attested
not anchored
not stored
refs pending
Machine Learning-based sEMG Signal Classification for Hand Gesture Recognition
arxiv:2411.15655 v1 · 2024-11-23 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QEBVRFLFS6JKTBJT4SRR6F7HGJ}
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 | 2026-07-05T09:39:38.619590Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
81035895659792a98533e4a31f17e73278803669425951738f8e4bcabaf7dbed
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QEBVRFLFS6JKTBJT4SRR6F7HGJ \
| 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: 81035895659792a98533e4a31f17e73278803669425951738f8e4bcabaf7dbed
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d40f4390d34acf7ad6d81431b771962d1e52b559aafc97b92c56ba712427e17b",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-23T21:29:51Z",
"title_canon_sha256": "224456673db00080a191131a9850515a8004637602f69709b45fbca89bfc2ce2"
},
"schema_version": "1.0",
"source": {
"id": "2411.15655",
"kind": "arxiv",
"version": 1
}
}