Pith Number
pith:JPD3LJUV
pith:2012:JPD3LJUVCITIS6BYHIRUADGP6U
not attested
not anchored
not stored
refs pending
Linear regression for numeric symbolic variables: an ordinary least squares approach based on Wasserstein Distance
arxiv:1202.1436 v2 · 2012-02-07 · stat.ME · stat.OT
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JPD3LJUVCITIS6BYHIRUADGP6U}
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 | 2026-05-18T01:16:01.240405Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4bc7b5a69512268978383a23400ccff51d05081455f1a27fbd8375d78be19aea
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JPD3LJUVCITIS6BYHIRUADGP6U \
| 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: 4bc7b5a69512268978383a23400ccff51d05081455f1a27fbd8375d78be19aea
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "3ede7ccda4bf003ae1024f70c4e1db0ecc8245b2ce89f0e97acb54a688f59ad8",
"cross_cats_sorted": [
"stat.OT"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "stat.ME",
"submitted_at": "2012-02-07T14:38:36Z",
"title_canon_sha256": "7182fb075fa5c9f488300d669035d9b1787ff0e3abd2fc298441174a9f2af1ff"
},
"schema_version": "1.0",
"source": {
"id": "1202.1436",
"kind": "arxiv",
"version": 2
}
}