Pith Number
pith:HINZENWS
pith:2018:HINZENWSUXTZ4F3BPJKVTCUBJ2
not attested
not anchored
not stored
refs pending
Learning and Recognizing Human Action from Skeleton Movement with Deep Residual Neural Networks
arxiv:1803.07780 v1 · 2018-03-21 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HINZENWSUXTZ4F3BPJKVTCUBJ2}
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 | 2026-05-18T00:20:28.982770Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3a1b9236d2a5e79e17617a55598a814eb0cff6f1f1a0622dee578bfc595f021f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HINZENWSUXTZ4F3BPJKVTCUBJ2 \
| 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: 3a1b9236d2a5e79e17617a55598a814eb0cff6f1f1a0622dee578bfc595f021f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "816b85ea14a35d705aa45e7d07cfef9970f33b7406ef91c6b5bb4f4f39500af0",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-03-21T07:43:44Z",
"title_canon_sha256": "a5ba12e5285600856ceeb38cb3793a6ab2882ecb3fea4aad1c12b3e012180197"
},
"schema_version": "1.0",
"source": {
"id": "1803.07780",
"kind": "arxiv",
"version": 1
}
}