Pith Number
pith:J5DPQD46
pith:2017:J5DPQD46VN7D7CT2SRJCUJL6LV
not attested
not anchored
not stored
refs pending
Multi-Sensor Data Pattern Recognition for Multi-Target Localization: A Machine Learning Approach
arxiv:1703.00084 v1 · 2017-02-28 · cs.SY · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{J5DPQD46VN7D7CT2SRJCUJL6LV}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
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claim
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 | 2026-05-18T00:49:46.010898Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4f46f80f9eab7e3f8a7a94522a257e5d71fd4315221e7d84d9d1cfb36f0d68d7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J5DPQD46VN7D7CT2SRJCUJL6LV \
| 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: 4f46f80f9eab7e3f8a7a94522a257e5d71fd4315221e7d84d9d1cfb36f0d68d7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "33d1c93db527184c907137cde284883758b4a2a19322faf00d7ba4b9350bca50",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.SY",
"submitted_at": "2017-02-28T23:16:19Z",
"title_canon_sha256": "90ffb92bf563f9b8103f5e63709a156533804f0a6a5c108c769148b0612ee17a"
},
"schema_version": "1.0",
"source": {
"id": "1703.00084",
"kind": "arxiv",
"version": 1
}
}