Pith Number
pith:5FQG23R7
pith:2020:5FQG23R7E5MVPWIDL2Q5LE7XAY
not attested
not anchored
not stored
refs pending
Similarity-based Distance for Categorical Clustering using Space Structure
arxiv:2011.09887 v1 · 2020-11-19 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5FQG23R7E5MVPWIDL2Q5LE7XAY}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T01:53:02.232120Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e9606d6e3f275957d9035ea1d593f7061cb383e9d46193af9865beee46aa111f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5FQG23R7E5MVPWIDL2Q5LE7XAY \
| 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: e9606d6e3f275957d9035ea1d593f7061cb383e9d46193af9865beee46aa111f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "be585e2047ffe67c4c979e3386d8ce4782fc0db754405a51bd8de06bd075d32f",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2020-11-19T15:18:26Z",
"title_canon_sha256": "38e3a6f17ad659cd1d4c19ba3de8624d3be21eee937cce06b203d4aeed78711e"
},
"schema_version": "1.0",
"source": {
"id": "2011.09887",
"kind": "arxiv",
"version": 1
}
}