Pith Number
pith:RNCNFPOJ
pith:2016:RNCNFPOJ42FVQ3KTSHQTLASKPQ
not attested
not anchored
not stored
refs pending
On Clustering Time Series Using Euclidean Distance and Pearson Correlation
arxiv:1601.02213 v1 · 2016-01-10 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RNCNFPOJ42FVQ3KTSHQTLASKPQ}
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
Author claim
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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 | 2026-05-18T01:23:06.980988Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8b44d2bdc9e68b586d5391e135824a7c095f870c920c6da934d4566ffd5f38f4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RNCNFPOJ42FVQ3KTSHQTLASKPQ \
| 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: 8b44d2bdc9e68b586d5391e135824a7c095f870c920c6da934d4566ffd5f38f4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0c15bee4eff2238cd6587e0660dc3788d7ca72b2844c125cbdfc1d9ae82e589f",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2016-01-10T13:17:46Z",
"title_canon_sha256": "6c16299989639cb172008c14e58c3353835c8278bdc28ad5913d632e912255b1"
},
"schema_version": "1.0",
"source": {
"id": "1601.02213",
"kind": "arxiv",
"version": 1
}
}