Pith Number
pith:LHELOKH4
pith:2016:LHELOKH47YBTCXFTSJZISGK7GJ
not attested
not anchored
not stored
refs pending
Multivariate Industrial Time Series with Cyber-Attack Simulation: Fault Detection Using an LSTM-based Predictive Data Model
arxiv:1612.06676 v2 · 2016-12-20 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{LHELOKH47YBTCXFTSJZISGK7GJ}
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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claim
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 | 2026-05-18T00:53:57.308885Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
59c8b728fcfe03315cb3927289195f3241875ca57f7dc7fa5849a7a1e8dc388c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LHELOKH47YBTCXFTSJZISGK7GJ \
| 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: 59c8b728fcfe03315cb3927289195f3241875ca57f7dc7fa5849a7a1e8dc388c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "aec77a41126e454a017a3ad362cf0a82968ae5b89cd4fef985adac6d43d4f747",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-12-20T14:24:49Z",
"title_canon_sha256": "7a8192be79b85df5274dca95f05b606d8393e0b150e30315a301f22ce9dfa575"
},
"schema_version": "1.0",
"source": {
"id": "1612.06676",
"kind": "arxiv",
"version": 2
}
}