Pith Number
pith:HUW4QJCJ
pith:2020:HUW4QJCJ4PWYAYEIRP5DSWH4FG
not attested
not anchored
not stored
refs pending
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
arxiv:2005.14140 v2 · 2020-05-28 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HUW4QJCJ4PWYAYEIRP5DSWH4FG}
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
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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 | 2026-07-05T01:45:27.250231Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3d2dc82449e3ed8060888bfa3958fc2990a0024566c4f61ae0089f5b22e1c523
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HUW4QJCJ4PWYAYEIRP5DSWH4FG \
| 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: 3d2dc82449e3ed8060888bfa3958fc2990a0024566c4f61ae0089f5b22e1c523
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fe2281eb83a921e6fab9ea82833680f416e6c4f3abaa924a756bb10bd6c34799",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-05-28T16:43:41Z",
"title_canon_sha256": "c1faff8817c36c0d2a5c6f9512adb8e0108a4daf6292e28ae0d98d4aa61e95b6"
},
"schema_version": "1.0",
"source": {
"id": "2005.14140",
"kind": "arxiv",
"version": 2
}
}