Pith Number
pith:3KBSLKI4
pith:2024:3KBSLKI4JX76K46PLJ6VTLXWXJ
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Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection
arxiv:2407.18439 v1 · 2024-07-26 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{3KBSLKI4JX76K46PLJ6VTLXWXJ}
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Record completeness
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Bitcoin timestamp
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4
Citations
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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.
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Receipt and verification
| First computed | 2026-07-05T08:48:49.657007Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
da8325a91c4dffe573cf5a7d59aef6ba5a9706f2d792387304ef2dbe3f31e60f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3KBSLKI4JX76K46PLJ6VTLXWXJ \
| 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: da8325a91c4dffe573cf5a7d59aef6ba5a9706f2d792387304ef2dbe3f31e60f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bfc138ef2bb8e011ad832f945605b8bb794eae9bdbed4498acbf87dfcbb5ba45",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-07-26T00:38:51Z",
"title_canon_sha256": "8894dcf2b17ce7832781ec2158be99679b347fa40eaba951b0644134bb0dcc37"
},
"schema_version": "1.0",
"source": {
"id": "2407.18439",
"kind": "arxiv",
"version": 1
}
}