Pith Number
pith:QRNUMDT2
pith:2024:QRNUMDT2OL46O6VD2IK6EZJYIB
not attested
not anchored
not stored
refs pending
FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
arxiv:2411.16110 v1 · 2024-11-25 · cs.LG · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QRNUMDT2OL46O6VD2IK6EZJYIB}
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 | 2026-07-05T09:40:04.286892Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
845b460e7a72f9e77aa3d215e26538407dcf6aca41ad2f1c18339ca0218a03c1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QRNUMDT2OL46O6VD2IK6EZJYIB \
| 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: 845b460e7a72f9e77aa3d215e26538407dcf6aca41ad2f1c18339ca0218a03c1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c69a588116635a0269b49e4da6044b8e850e2500a1c26fed3a35a42a9485438b",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-11-25T05:51:38Z",
"title_canon_sha256": "e41786ba4da83f20f2ede249adbb708031305c0b0ef119767edf9426f384cc91"
},
"schema_version": "1.0",
"source": {
"id": "2411.16110",
"kind": "arxiv",
"version": 1
}
}