Pith Number
pith:64LR7GOZ
pith:2024:64LR7GOZHAHYSRQRYLPFBZ6U6C
not attested
not anchored
not stored
refs pending
Adaptive Primal-Dual Method for Safe Reinforcement Learning
arxiv:2402.00355 v1 · 2024-02-01 · cs.LG · cs.AI · math.OC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{64LR7GOZHAHYSRQRYLPFBZ6U6C}
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 | 2026-07-05T07:40:10.493308Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f7171f99d9380f894611c2de50e7d4f08edbe2478ed7cc84ead2bc3dd841640c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/64LR7GOZHAHYSRQRYLPFBZ6U6C \
| 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: f7171f99d9380f894611c2de50e7d4f08edbe2478ed7cc84ead2bc3dd841640c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "41ae1819fce950a9e74ba1833a70b2b507372642cde46bd95cc46f3af6c4043c",
"cross_cats_sorted": [
"cs.AI",
"math.OC"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2024-02-01T05:53:44Z",
"title_canon_sha256": "0089ec23184f3a31fb2176a4f96f9e4bb4b99341b745f132dba00a989a232cb9"
},
"schema_version": "1.0",
"source": {
"id": "2402.00355",
"kind": "arxiv",
"version": 1
}
}