Pith Number
pith:ZUFJPWOA
pith:2017:ZUFJPWOAOGI3NYKXIJRPLCQQSE
not attested
not anchored
not stored
refs pending
Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks
arxiv:1709.05675 v1 · 2017-09-17 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZUFJPWOAOGI3NYKXIJRPLCQQSE}
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 | 2026-05-18T00:26:49.198046Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cd0a97d9c07191b6e1574262f58a10912706543deffbc19760224307a6a998f8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZUFJPWOAOGI3NYKXIJRPLCQQSE \
| 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: cd0a97d9c07191b6e1574262f58a10912706543deffbc19760224307a6a998f8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3380c9fae25554cb59fe40f5a632218c961b3d80cac84ba0836f641d4140efe7",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-09-17T14:57:55Z",
"title_canon_sha256": "2e31990748ff29962ca68787e64dec9e5d1fc5424309253431f2795b7bf68b20"
},
"schema_version": "1.0",
"source": {
"id": "1709.05675",
"kind": "arxiv",
"version": 1
}
}