Pith Number
pith:BLLFNGSC
pith:2021:BLLFNGSCDXTJT5FD5FO5FWZIBC
not attested
not anchored
not stored
refs pending
Skeleton-Graph: Long-Term 3D Motion Prediction From 2D Observations Using Deep Spatio-Temporal Graph CNNs
arxiv:2109.10257 v2 · 2021-09-21 · cs.CV · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BLLFNGSCDXTJT5FD5FO5FWZIBC}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T03:43:44.463760Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0ad6569a421de699f4a3e95dd2db28089243f161848d52353304c0bad7c7fad9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BLLFNGSCDXTJT5FD5FO5FWZIBC \
| 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: 0ad6569a421de699f4a3e95dd2db28089243f161848d52353304c0bad7c7fad9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4e378a8669bb442a9c9540a9ca314bab96bda91d78efc9f1e74205b85626601d",
"cross_cats_sorted": [
"cs.RO"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-09-21T15:33:40Z",
"title_canon_sha256": "dde18c9b19536fbff62e369c06b579ab39149bc94b0da4ffdbd16ac4390a6445"
},
"schema_version": "1.0",
"source": {
"id": "2109.10257",
"kind": "arxiv",
"version": 2
}
}