Pith Number
pith:CZZKHGLS
pith:2023:CZZKHGLSZUFRU34NPFX4JVAV7Q
not attested
not anchored
not stored
refs pending
Beyond Labels: Advancing Cluster Analysis with the Entropy of Distance Distribution (EDD)
arxiv:2311.16621 v1 · 2023-11-28 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CZZKHGLSZUFRU34NPFX4JVAV7Q}
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 | 2026-07-05T07:17:44.097904Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1672a39972cd0b1a6f8d796fc4d415fc25a1c54b97cfba4b80864496d6beb96c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CZZKHGLSZUFRU34NPFX4JVAV7Q \
| 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: 1672a39972cd0b1a6f8d796fc4d415fc25a1c54b97cfba4b80864496d6beb96c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d36e81f8aec3cb84e7cd63ea44fd92e08f739446851562a67d535480bb85867c",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2023-11-28T09:22:17Z",
"title_canon_sha256": "8e136093dbf22d33fc4e9febd97fdbbfa5bbcd0b7f63e7e23fb589b0a98374c9"
},
"schema_version": "1.0",
"source": {
"id": "2311.16621",
"kind": "arxiv",
"version": 1
}
}