Pith Number
pith:UY2APK3W
pith:2017:UY2APK3WVGWOBNBQWONV5XRHLC
not attested
not anchored
not stored
refs pending
Doppler-Radar Based Hand Gesture Recognition System Using Convolutional Neural Networks
arxiv:1711.02254 v3 · 2017-11-07 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UY2APK3WVGWOBNBQWONV5XRHLC}
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 | 2026-05-18T00:29:51.098546Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a63407ab76a9ace0b430b39b5ede27589d929d07d7210fbe622faec9233ca2e1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UY2APK3WVGWOBNBQWONV5XRHLC \
| 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: a63407ab76a9ace0b430b39b5ede27589d929d07d7210fbe622faec9233ca2e1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f59c140e6e3b75c8f296f5afe7f3292ec5cf2e3a4044af4e1907cd1d4ce4dcf2",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-11-07T01:58:11Z",
"title_canon_sha256": "8be3d8b0099acf9fa5959fe0fd5080ee9bcbdc64a072ab5e4d65eee44f0b30fa"
},
"schema_version": "1.0",
"source": {
"id": "1711.02254",
"kind": "arxiv",
"version": 3
}
}