Pith Number
pith:AJYRHQJD
pith:2022:AJYRHQJD3TG6FGD4Q2NSSNYHFJ
not attested
not anchored
not stored
refs pending
Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional Network
arxiv:2207.05493 v1 · 2022-07-12 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AJYRHQJD3TG6FGD4Q2NSSNYHFJ}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T04:39:43.364495Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
027113c123dccde2987c869b2937072a46033a520b0f893fccc89d7da94090f9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AJYRHQJD3TG6FGD4Q2NSSNYHFJ \
| 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: 027113c123dccde2987c869b2937072a46033a520b0f893fccc89d7da94090f9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "926fd0edd70602b2095fbfe147e6713e8d10b78f4e7c81dd95ca17094519fc76",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-07-12T12:22:21Z",
"title_canon_sha256": "5c36fae863fc947daa1b90a9f2792ad5da4889e8169b82012b5ab35759f1d1f4"
},
"schema_version": "1.0",
"source": {
"id": "2207.05493",
"kind": "arxiv",
"version": 1
}
}