Pith Number
pith:4H5OG5DS
pith:2021:4H5OG5DSICA2M622LR4RXVWSP6
not attested
not anchored
not stored
refs pending
A Survey on Deep Learning for Skeleton-Based Human Animation
arxiv:2110.06901 v2 · 2021-10-13 · cs.GR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4H5OG5DSICA2M622LR4RXVWSP6}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T03:34:08.055601Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e1fae374724081a67b5a5c791bd6d27fad17d7902e02ae48953fdec8356dbdca
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4H5OG5DSICA2M622LR4RXVWSP6 \
| 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: e1fae374724081a67b5a5c791bd6d27fad17d7902e02ae48953fdec8356dbdca
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "900ec670c0a8319a1c4c5d762a3ac7a2f6020c18188cff8d73af430de8f73998",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.GR",
"submitted_at": "2021-10-13T17:29:50Z",
"title_canon_sha256": "45c3bad5d495d07894ef4970ba7c87d2800363bd85f1fd4d7f2ef139ac395493"
},
"schema_version": "1.0",
"source": {
"id": "2110.06901",
"kind": "arxiv",
"version": 2
}
}