Pith Number
pith:EOYP4KLK
pith:2023:EOYP4KLKHG3CUS6RPYXQE6SMQY
not attested
not anchored
not stored
refs pending
Geometry-Aware Normalizing Wasserstein Flows for Optimal Causal Inference
arxiv:2311.18826 v4 · 2023-11-30 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EOYP4KLKHG3CUS6RPYXQE6SMQY}
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 | 2026-07-05T07:40:04.393507Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
23b0fe296a39b62a4bd17e2f027a4c860c83f4975e225e441ac4b219fa56eb57
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EOYP4KLKHG3CUS6RPYXQE6SMQY \
| 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: 23b0fe296a39b62a4bd17e2f027a4c860c83f4975e225e441ac4b219fa56eb57
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bba1772e9f57d301ed00c8564463ef189d0066c129c2514b07d5f8d55ea4e8c6",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-11-30T18:59:05Z",
"title_canon_sha256": "adcc5e0ea178144ddd0f04a98ebf03c21f7215bf15f6f906f39d786711655b3c"
},
"schema_version": "1.0",
"source": {
"id": "2311.18826",
"kind": "arxiv",
"version": 4
}
}