Pith Number
pith:NTG7XVFY
pith:2023:NTG7XVFYHXT3TMQ3DNV4NM432X
not attested
not anchored
not stored
refs pending
Risk-Aware Reinforcement Learning through Optimal Transport Theory
arxiv:2309.06239 v1 · 2023-09-12 · cs.LG · cs.SY · eess.SY
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NTG7XVFYHXT3TMQ3DNV4NM432X}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:50:05.369062Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
6ccdfbd4b83de7b9b21b1b6bc6b39bd5f8e705f23ef111a7bbb17b34b65b96fb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NTG7XVFYHXT3TMQ3DNV4NM432X \
| 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: 6ccdfbd4b83de7b9b21b1b6bc6b39bd5f8e705f23ef111a7bbb17b34b65b96fb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "197f968c5de34da6aa7f70833e8101f3c1853119e547e60eff293b839f616782",
"cross_cats_sorted": [
"cs.SY",
"eess.SY"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2023-09-12T13:55:01Z",
"title_canon_sha256": "289c0b73498d7d0b5c7ae99c7bb9f0eb5dedd250004a3182de1953fc235e4616"
},
"schema_version": "1.0",
"source": {
"id": "2309.06239",
"kind": "arxiv",
"version": 1
}
}