Pith Number
pith:APZ6BBPO
pith:2019:APZ6BBPOWMAZL5LOCNQK7PIVPD
not attested
not anchored
not stored
refs pending
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
arxiv:1903.03295 v2 · 2019-03-08 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{APZ6BBPOWMAZL5LOCNQK7PIVPD}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more
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 | 2026-05-17T23:48:14.552642Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
03f3e085eeb30195f56e1360afbd1578f42a7fc720ac43898ff546864cfce8c8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/APZ6BBPOWMAZL5LOCNQK7PIVPD \
| 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: 03f3e085eeb30195f56e1360afbd1578f42a7fc720ac43898ff546864cfce8c8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "28c5f4d31ca0f9e328f7358811655f4a888c3a5d0f80d7dcf97ff433922e61b0",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-03-08T05:47:11Z",
"title_canon_sha256": "8b6d7652b9add80c72f8da27f4ee89d66907efba7f336b3c485152091816cd2d"
},
"schema_version": "1.0",
"source": {
"id": "1903.03295",
"kind": "arxiv",
"version": 2
}
}