Pith Number
pith:4WHWGUNF
pith:2022:4WHWGUNFAT3FSACR5U56KDPLBM
not attested
not anchored
not stored
refs pending
Video Violence Recognition and Localization Using a Semi-Supervised Hard Attention Model
arxiv:2202.02212 v4 · 2022-02-04 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4WHWGUNFAT3FSACR5U56KDPLBM}
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 | 2026-07-05T04:54:18.327936Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e58f6351a504f6590051ed3be50deb0b28459fa03b3bde7dfaba59d62bfef0c0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4WHWGUNFAT3FSACR5U56KDPLBM \
| 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: e58f6351a504f6590051ed3be50deb0b28459fa03b3bde7dfaba59d62bfef0c0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2d33eebd18ad7caf6ed8ed10c9c8005527b797a84a164d0a07d94b233316b4e9",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-02-04T16:15:26Z",
"title_canon_sha256": "3b44ab63ce30f288e28de9635866abb98fb80d0d50d3a361eb32c9aa42bf4183"
},
"schema_version": "1.0",
"source": {
"id": "2202.02212",
"kind": "arxiv",
"version": 4
}
}