Pith Number
pith:XVVWBRMH
pith:2024:XVVWBRMHEZG5EEUNALOQFR77MP
not attested
not anchored
not stored
refs pending
Quantum machine learning algorithms for anomaly detection: A review
arxiv:2408.11047 v3 · 2024-08-20 · quant-ph
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XVVWBRMHEZG5EEUNALOQFR77MP}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:22:49.350481Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bd6b60c587264dd2128d02dd02c7ff63f7c2349e4adb47904dcbba1e9579d99b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XVVWBRMHEZG5EEUNALOQFR77MP \
| 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: bd6b60c587264dd2128d02dd02c7ff63f7c2349e4adb47904dcbba1e9579d99b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "db37a30af60b2e674dca349691bd6b6d0adc16615046c411a80c6c805765be35",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "quant-ph",
"submitted_at": "2024-08-20T17:55:25Z",
"title_canon_sha256": "9b47c510f5c49f8299f60486cf9ac4255bd4a430b76af7d0be46f85e26baa764"
},
"schema_version": "1.0",
"source": {
"id": "2408.11047",
"kind": "arxiv",
"version": 3
}
}