Pith Number
pith:GRDYHNHA
pith:2021:GRDYHNHA5D6BRIVHBESD2TGCLE
not attested
not anchored
not stored
refs pending
Using Motion History Images with 3D Convolutional Networks in Isolated Sign Language Recognition
arxiv:2110.12396 v2 · 2021-10-24 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GRDYHNHA5D6BRIVHBESD2TGCLE}
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 | 2026-07-05T03:58:04.493264Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
344783b4e0e8fc18a2a709243d4cc25936541ec603c870d699ee902b3248aa3b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GRDYHNHA5D6BRIVHBESD2TGCLE \
| 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: 344783b4e0e8fc18a2a709243d4cc25936541ec603c870d699ee902b3248aa3b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ed51cd3a24ec94908932d6eb4b1bb5da2ecf4d6364b03d753d9e2a7a97d2cf7f",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-10-24T09:25:28Z",
"title_canon_sha256": "8052bba45a89149dad919c5fb936f33e9795f4df6846215505d57b519c954d17"
},
"schema_version": "1.0",
"source": {
"id": "2110.12396",
"kind": "arxiv",
"version": 2
}
}