Pith Number
pith:XMOPVDUH
pith:2022:XMOPVDUHSYSSOVP7DG7FH5UIVD
not attested
not anchored
not stored
refs pending
Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints
arxiv:2201.11965 v4 · 2022-01-28 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XMOPVDUHSYSSOVP7DG7FH5UIVD}
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 | 2026-07-05T05:17:25.057126Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bb1cfa8e8796252755ff19be53f688a8d8f47c6e657abc26d41555f2dd9c9f3e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XMOPVDUHSYSSOVP7DG7FH5UIVD \
| 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: bb1cfa8e8796252755ff19be53f688a8d8f47c6e657abc26d41555f2dd9c9f3e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "614fd7d25123d27c664eff6b690f8064dc52df835101b93f380b83f4fb9fc13d",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-01-28T07:18:29Z",
"title_canon_sha256": "7d265f369c751dac8a15c482ea3ec1b701c6842187b2eb646920b36c0c9b75e9"
},
"schema_version": "1.0",
"source": {
"id": "2201.11965",
"kind": "arxiv",
"version": 4
}
}