Pith Number
pith:IJORGWUA
pith:2025:IJORGWUARRT47HMRXJ2JSPL3X3
not attested
not anchored
not stored
refs pending
A novel k-means clustering approach using two distance measures for Gaussian data
arxiv:2511.17823 v2 · 2025-11-21 · cs.LG · cs.CE · stat.ME · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IJORGWUARRT47HMRXJ2JSPL3X3}
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.
Receipt and verification
| First computed | 2026-07-31T00:10:11.018588Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | unsigned_v0 |
| Schema | pith-number/v1.0 |
Canonical hash
425d135a808c67cf9d91ba74993d7bbec14ec27dc4a614396307a84091f1db1b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IJORGWUARRT47HMRXJ2JSPL3X3 \
| 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: 425d135a808c67cf9d91ba74993d7bbec14ec27dc4a614396307a84091f1db1b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ebaf6a3f7400deaf0febafcb16280de4d4d4f8a13eee2193bc876de9aaf29b86",
"cross_cats_sorted": [
"cs.CE",
"stat.ME",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-11-21T22:36:14Z",
"title_canon_sha256": "7853aa0225ac25a9a8d3f33a20bbbb9ea31e0d63153d74068c137cbc0759fcbd"
},
"schema_version": "1.0",
"source": {
"id": "2511.17823",
"kind": "arxiv",
"version": 2
}
}