Pith Number
pith:KZIYT6XZ
pith:2022:KZIYT6XZCKDFY6PMFAJE3WBCN4
not attested
not anchored
not stored
refs pending
Crowd-level Abnormal Behavior Detection via Multi-scale Motion Consistency Learning
arxiv:2212.00501 v1 · 2022-12-01 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KZIYT6XZCKDFY6PMFAJE3WBCN4}
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.
Receipt and verification
| First computed | 2026-07-05T05:21:34.838227Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
565189faf912865c79ec28124dd8226f0b06976ed7d31456554b688d371c9b70
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KZIYT6XZCKDFY6PMFAJE3WBCN4 \
| 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: 565189faf912865c79ec28124dd8226f0b06976ed7d31456554b688d371c9b70
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4251e67dea09feb0da9d9024cbd89a895dd2d803f8c4be6b4a16ec6b687ff70e",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-12-01T13:52:32Z",
"title_canon_sha256": "b1a540d280ff15f8ce3ddc9d9a204b60e085614bb640bc554712e1bdc2d31377"
},
"schema_version": "1.0",
"source": {
"id": "2212.00501",
"kind": "arxiv",
"version": 1
}
}