Pith Number
pith:OGCSKDRN
pith:2022:OGCSKDRN5YFY74D5O363XZWHYC
not attested
not anchored
not stored
refs pending
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains
arxiv:2212.00743 v2 · 2022-11-29 · eess.SP · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OGCSKDRN5YFY74D5O363XZWHYC}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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 | 2026-07-05T05:23:13.559734Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7185250e2dee0b8ff07d76fdbbe6c7c0800a626cc05139b98bfb1f8ed17f2c14
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OGCSKDRN5YFY74D5O363XZWHYC \
| 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: 7185250e2dee0b8ff07d76fdbbe6c7c0800a626cc05139b98bfb1f8ed17f2c14
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "07cb5a167199a0e0c660f4526d942a2629c19bfcaaedf748daee1f337440a4e3",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "eess.SP",
"submitted_at": "2022-11-29T23:32:08Z",
"title_canon_sha256": "79d0e24dae8997f93852d31a4f9d467f1dcac902cab11bf73f583b24a8d33428"
},
"schema_version": "1.0",
"source": {
"id": "2212.00743",
"kind": "arxiv",
"version": 2
}
}