Pith Number
pith:GI424IC7
pith:2019:GI424IC7KGGZPJZG5ZAY2VTGWO
not attested
not anchored
not stored
refs pending
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data
arxiv:1907.06582 v1 · 2019-07-12 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GI424IC7KGGZPJZG5ZAY2VTGWO}
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.
Receipt and verification
| First computed | 2026-05-17T23:40:37.361908Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3239ae205f518d97a726ee418d5666b390104f39ab3ef93547218fe7b51b00f9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GI424IC7KGGZPJZG5ZAY2VTGWO \
| 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: 3239ae205f518d97a726ee418d5666b390104f39ab3ef93547218fe7b51b00f9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "127572d771e605389d85974457b4420a9f623cd6b0ea7b9cfc904ff15a1d8667",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2019-07-12T05:51:33Z",
"title_canon_sha256": "82b26e49b036eaa886ede126737b8e962753cf66e6cf99c85822f575ef039cd5"
},
"schema_version": "1.0",
"source": {
"id": "1907.06582",
"kind": "arxiv",
"version": 1
}
}