Pith Number
pith:4HGJBNOY
pith:2021:4HGJBNOYUMAYMPV2HHZC5RXRGO
not attested
not anchored
not stored
refs pending
Successive Convex Approximation Based Off-Policy Optimization for Constrained Reinforcement Learning
arxiv:2105.12545 v1 · 2021-05-26 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4HGJBNOYUMAYMPV2HHZC5RXRGO}
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 | 2026-07-05T04:15:42.751337Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e1cc90b5d8a301863eba39f22ec6f133a320d68093699418fbc1b70243962819
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4HGJBNOYUMAYMPV2HHZC5RXRGO \
| 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: e1cc90b5d8a301863eba39f22ec6f133a320d68093699418fbc1b70243962819
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1504db40c60f307f9d237d1d4113cd59b8d8f738164bf92f318c799d9c375ba8",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-05-26T13:52:39Z",
"title_canon_sha256": "d2f6334a3654b1ce829e917bcc32c92d13832d96d129120c378856723abaa4ec"
},
"schema_version": "1.0",
"source": {
"id": "2105.12545",
"kind": "arxiv",
"version": 1
}
}