Pith Number
pith:FITVZH4R
pith:2023:FITVZH4RQ46F25ZIXZSJO4J5OW
not attested
not anchored
not stored
refs pending
LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection
arxiv:2307.08059 v1 · 2023-07-16 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FITVZH4RQ46F25ZIXZSJO4J5OW}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:31:19.482361Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2a275c9f91873c5d7728be6497713d758b4a19ad5e3bf5e1522a2fc69f81fbc9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FITVZH4RQ46F25ZIXZSJO4J5OW \
| 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: 2a275c9f91873c5d7728be6497713d758b4a19ad5e3bf5e1522a2fc69f81fbc9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "93a6ce4279536a59aacc62955e9118f783a9b73156bd75976f27237177d98c4c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-07-16T14:41:22Z",
"title_canon_sha256": "fe75aeec7a8bf41d9c67adfb9bd1b3d7967f52ac71af989c0a58e99c74e3b2b2"
},
"schema_version": "1.0",
"source": {
"id": "2307.08059",
"kind": "arxiv",
"version": 1
}
}