Pith Number
pith:QK73LTEN
pith:2021:QK73LTEN6L6XBMHZ6E5CWYCDPY
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refs pending
The MVTec 3D-AD Dataset for Unsupervised 3D Anomaly Detection and Localization
arxiv:2112.09045 v1 · 2021-12-16 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QK73LTEN6L6XBMHZ6E5CWYCDPY}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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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 | 2026-07-05T03:59:43.301880Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
82bfb5cc8df2fd70b0f9f13a2b60437e26fb55ea75a8e0c5f0080a15400d4f71
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QK73LTEN6L6XBMHZ6E5CWYCDPY \
| 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: 82bfb5cc8df2fd70b0f9f13a2b60437e26fb55ea75a8e0c5f0080a15400d4f71
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3f4215bb5a3a0618f890e08b94171ce8958850322e7781b2b0a90d293f7e7988",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-12-16T17:35:51Z",
"title_canon_sha256": "0dc6bfc14b438ef353d66668c969be432369b6d9f607e92a0d62d9206154746b"
},
"schema_version": "1.0",
"source": {
"id": "2112.09045",
"kind": "arxiv",
"version": 1
}
}