Pith Number
pith:CY2767GP
pith:2025:CY2767GPCLAANXJI6YVRGDY3NN
not attested
not anchored
not stored
refs pending
Offline Reinforcement Learning with Wasserstein Regularization via Optimal Transport Maps
arxiv:2507.10843 v1 · 2025-07-14 · cs.LG · cs.AI · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{CY2767GPCLAANXJI6YVRGDY3NN}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:37:00.666135Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1635ff7ccf12c006dd28f62b130f1b6b7922e532e63fcf46b76478678d7534a9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CY2767GPCLAANXJI6YVRGDY3NN \
| 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: 1635ff7ccf12c006dd28f62b130f1b6b7922e532e63fcf46b76478678d7534a9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9c7b5484020be0b97bfee687b81e4ccfb7bed764471d4b3657cd885b45aa7015",
"cross_cats_sorted": [
"cs.AI",
"cs.RO"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-14T22:28:36Z",
"title_canon_sha256": "6a5865b66ab3c292d236d8a2a6b67207727b44209d79f64e2627c4f618d219f3"
},
"schema_version": "1.0",
"source": {
"id": "2507.10843",
"kind": "arxiv",
"version": 1
}
}