Pith Number
pith:XVX7PKND
pith:2025:XVX7PKNDA45Y2EPAQSBDHUW73L
not attested
not anchored
not stored
refs pending
A Survey on Video Anomaly Detection via Deep Learning: Human, Vehicle, and Environment
arxiv:2508.14203 v1 · 2025-08-19 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XVX7PKNDA45Y2EPAQSBDHUW73L}
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 | 2026-07-05T11:56:28.000270Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bd6ff7a9a3073b8d11e0848233d2dfdac0935592898ad8359fd62dff69ae363d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XVX7PKNDA45Y2EPAQSBDHUW73L \
| 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: bd6ff7a9a3073b8d11e0848233d2dfdac0935592898ad8359fd62dff69ae363d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a9770469511a0abce8df7777b9bf9b21846e24a23a467c7136d8a4265f4de217",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-08-19T18:50:49Z",
"title_canon_sha256": "f6cd4df6499c2c9cd373a98b8c36c825b54b8e536c37cc4cbf7788bc19db7c1f"
},
"schema_version": "1.0",
"source": {
"id": "2508.14203",
"kind": "arxiv",
"version": 1
}
}