Pith Number
pith:BVWTTD5U
pith:2019:BVWTTD5URTMGFX5TM5463GE7GL
not attested
not anchored
not stored
refs pending
Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
arxiv:1901.10323 v3 · 2019-01-29 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BVWTTD5URTMGFX5TM5463GE7GL}
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 | 2026-07-05T00:13:01.304206Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d6d398fb48cd862dfb36779ed989f32d893b026a13014c728acbc643e5de816
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BVWTTD5URTMGFX5TM5463GE7GL \
| 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: 0d6d398fb48cd862dfb36779ed989f32d893b026a13014c728acbc643e5de816
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aba0eb5fe9f24053abe52562d5e38cafe41138d0728e85db581bf10174ba3432",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-01-29T14:52:51Z",
"title_canon_sha256": "4832816ef0065094633623e6806e72ab3f6f9fa52fbcc001eefb372c0482a2ef"
},
"schema_version": "1.0",
"source": {
"id": "1901.10323",
"kind": "arxiv",
"version": 3
}
}