Pith Number
pith:JUNJJTNS
pith:2023:JUNJJTNSHR4STQYLB5OH4KXSDC
not attested
not anchored
not stored
refs pending
Computing high-dimensional optimal transport by flow neural networks
arxiv:2305.11857 v5 · 2023-05-19 · stat.ML · cs.LG · stat.ME
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JUNJJTNSHR4STQYLB5OH4KXSDC}
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 | 2026-07-05T10:28:11.019978Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4d1a94cdb23c7929c30b0f5c7e2af218a4cda9d9f28e62efdc1686931d050fb3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JUNJJTNSHR4STQYLB5OH4KXSDC \
| 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: 4d1a94cdb23c7929c30b0f5c7e2af218a4cda9d9f28e62efdc1686931d050fb3
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "2977254efb1b3f1b7ff26d537c259c69dc2a2b096380470e4573942100670af3",
"cross_cats_sorted": [
"cs.LG",
"stat.ME"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2023-05-19T17:48:21Z",
"title_canon_sha256": "61ce5d73765566fb2e52395398c9d21a459367a20f4539e316624ef06f94a8ba"
},
"schema_version": "1.0",
"source": {
"id": "2305.11857",
"kind": "arxiv",
"version": 5
}
}