Pith Number
pith:5UV77JGW
pith:2018:5UV77JGW5Z6SKYMR6TRRKF4A7B
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refs pending
Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection
arxiv:1803.04967 v1 · 2018-03-13 · cs.LG · cs.NE · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5UV77JGW5Z6SKYMR6TRRKF4A7B}
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
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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.
Receipt and verification
| First computed | 2026-05-18T00:21:04.059694Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ed2bffa4d6ee7d256191f4e3151780f86f921d3177e41cf1012c295a5fbef9de
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5UV77JGW5Z6SKYMR6TRRKF4A7B \
| 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: ed2bffa4d6ee7d256191f4e3151780f86f921d3177e41cf1012c295a5fbef9de
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "87524ea478b1d50783c2f63ad07f26063bd5b066d3c0d01a5eb30eac42790c87",
"cross_cats_sorted": [
"cs.NE",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2018-03-13T08:09:20Z",
"title_canon_sha256": "512bf625e75a6504631fb8e48bd43e7a52885f804418f846cd279b6d746f8ed0"
},
"schema_version": "1.0",
"source": {
"id": "1803.04967",
"kind": "arxiv",
"version": 1
}
}