Pith Number
pith:LADFHS6Z
pith:2022:LADFHS6ZXX3ZOMSEUXO3YNMITS
not attested
not anchored
not stored
refs pending
Self-Supervised Texture Image Anomaly Detection By Fusing Normalizing Flow and Dictionary Learning
arxiv:2209.07005 v2 · 2022-09-15 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LADFHS6ZXX3ZOMSEUXO3YNMITS}
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 | 2026-07-05T04:58:39.721839Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
580653cbd9bdf7973244a5ddbc35889c8c3bda1749657a01554a42df78d628d0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LADFHS6ZXX3ZOMSEUXO3YNMITS \
| 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: 580653cbd9bdf7973244a5ddbc35889c8c3bda1749657a01554a42df78d628d0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "39101e421949f5cc12bf3f676b2897ff95d2e65e37bc9c1405fdaf6eb809c735",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-09-15T02:25:42Z",
"title_canon_sha256": "fa48a92ae371fb70cdae8d0c276f4293b1e99593aee1efe29eab0d88e3033c3e"
},
"schema_version": "1.0",
"source": {
"id": "2209.07005",
"kind": "arxiv",
"version": 2
}
}