Pith Number
pith:4QO4OAWZ
pith:2017:4QO4OAWZQZSF6CVTOQCQW7A5SV
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refs pending
A Multi-Layer K-means Approach for Multi-Sensor Data Pattern Recognition in Multi-Target Localization
arxiv:1705.10757 v1 · 2017-05-30 · cs.SY · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4QO4OAWZQZSF6CVTOQCQW7A5SV}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
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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 | 2026-05-18T00:43:23.571678Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e41dc702d986645f0ab374050b7c1d957e81d354f6e8b3be21b564de41fdfe9c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4QO4OAWZQZSF6CVTOQCQW7A5SV \
| 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: e41dc702d986645f0ab374050b7c1d957e81d354f6e8b3be21b564de41fdfe9c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f61483480b97b9c54ac22036392f659e9cc05d18bf5a930f22ae2cfdcef6cd45",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SY",
"submitted_at": "2017-05-30T17:13:05Z",
"title_canon_sha256": "3e4b3af39cc0ee5953ff4c8a11e3e7a36f08bf5400c8cb9289316c9b9b5ab5a8"
},
"schema_version": "1.0",
"source": {
"id": "1705.10757",
"kind": "arxiv",
"version": 1
}
}