Pith Number
pith:ELXPD75N
pith:2016:ELXPD75NYPOCDXH7ODRRNF73LD
not attested
not anchored
not stored
refs pending
An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data
arxiv:1611.06067 v1 · 2016-11-18 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ELXPD75NYPOCDXH7ODRRNF73LD}
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 | 2026-05-18T00:57:43.185196Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
22eef1ffadc3dc21dcff70e31697fb58ef7ac91e721b4b2e84942f70fab492e9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ELXPD75NYPOCDXH7ODRRNF73LD \
| 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: 22eef1ffadc3dc21dcff70e31697fb58ef7ac91e721b4b2e84942f70fab492e9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a5a8c965d8af2b51c3f61695a36d534584f5b691f8af5b326cc77d64628bbfe6",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2016-11-18T13:33:28Z",
"title_canon_sha256": "23427d034033ad348cce23f9fb6232121da63b48464daa8f4ae133088410bed8"
},
"schema_version": "1.0",
"source": {
"id": "1611.06067",
"kind": "arxiv",
"version": 1
}
}