Pith Number
pith:L7YQENBF
pith:2021:L7YQENBFPDZNVJUXHJJM2KC6XD
not attested
not anchored
not stored
refs pending
Robust and Transferable Anomaly Detection in Log Data using Pre-Trained Language Models
arxiv:2102.11570 v1 · 2021-02-23 · cs.AI · cs.CL · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{L7YQENBFPDZNVJUXHJJM2KC6XD}
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
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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 | 2026-07-05T02:17:52.291893Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
5ff102342578f2daa6973a52cd285eb8f088dd6bf667ed8b837329c8b56529ea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/L7YQENBFPDZNVJUXHJJM2KC6XD \
| 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: 5ff102342578f2daa6973a52cd285eb8f088dd6bf667ed8b837329c8b56529ea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "941f03676f4e6fb84c0c29a9fc8735569b4a4ff5c4c18d0711c7d79afdd54467",
"cross_cats_sorted": [
"cs.CL",
"cs.SE"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2021-02-23T09:17:05Z",
"title_canon_sha256": "da71e14d0baefa1ea435ffb7ddda8ffbbb14eae80999601ee6bb19156e465121"
},
"schema_version": "1.0",
"source": {
"id": "2102.11570",
"kind": "arxiv",
"version": 1
}
}