Pith Number
pith:WLQBDPV5
pith:2026:WLQBDPV553EYOLOZFD6ZVR6SGS
not attested
not anchored
not stored
refs pending
A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals
arxiv:2607.07850 v1 · 2026-07-08 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WLQBDPV553EYOLOZFD6ZVR6SGS}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-10T00:19:03.033911Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b2e011bebdeec9872dd928fd9ac7d234b6c1eb1a6b53d20c632e12e32231371a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WLQBDPV553EYOLOZFD6ZVR6SGS \
| 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: b2e011bebdeec9872dd928fd9ac7d234b6c1eb1a6b53d20c632e12e32231371a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4dac52ec05d81783a718fffb550b38f5f0ce7d144e49af34285baf5c9a35c44f",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-07-08T18:29:52Z",
"title_canon_sha256": "bf20f79e1fbcda557b73b381a4a6032e3538a8f22ef8a0148dd4b13c3a77decd"
},
"schema_version": "1.0",
"source": {
"id": "2607.07850",
"kind": "arxiv",
"version": 1
}
}