Pith Number
pith:RHZFZJ3L
pith:2023:RHZFZJ3LG2UOWOFN3IKY4IJB2I
not attested
not anchored
not stored
refs pending
Balanced Marginal and Joint Distributional Learning via Mixture Cramer-Wold Distance
arxiv:2312.03307 v1 · 2023-12-06 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RHZFZJ3LG2UOWOFN3IKY4IJB2I}
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 | 2026-07-05T07:21:01.796877Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
89f25ca76b36a8eb38adda158e2121d215a2c89bc57c32d4f90908d4486a53e4
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RHZFZJ3LG2UOWOFN3IKY4IJB2I \
| 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: 89f25ca76b36a8eb38adda158e2121d215a2c89bc57c32d4f90908d4486a53e4
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "77dfae417625a2098d11be83f24b4aa1bf8988e5a3cb1bc47e54b40393e26428",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2023-12-06T06:15:48Z",
"title_canon_sha256": "5f7fbbbd6a2f2b951fd9c32ae5130f11eefdd638cb6640fc5d4c722339a50e1e"
},
"schema_version": "1.0",
"source": {
"id": "2312.03307",
"kind": "arxiv",
"version": 1
}
}