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Pith Number

pith:NNPKIIWL

pith:2023:NNPKIIWLOJ7UPO6Q57AZTXLE34
not attested not anchored not stored refs pending

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

Borong Zhang, Jiaming Ji, Jiayi Zhou, Juntao Dai, Ruiyang Sun, Weidong Huang, Xuehai Pan, Yaodong Yang, Yifan Zhong, Yiran Geng

arxiv:2310.12567 v3 · 2023-10-19 · cs.AI · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NNPKIIWLOJ7UPO6Q57AZTXLE34}

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 open · sign in to claim
4 Citations open
5 Replications open
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

1 paper in Pith

Receipt and verification
First computed 2026-07-05T09:16:09.613496Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6b5ea422cb727f47bbd0efc199dd64df0e692aa400ef9d5f5a791ff18f3f1f24

Aliases

arxiv: 2310.12567 · arxiv_version: 2310.12567v3 · doi: 10.48550/arxiv.2310.12567 · pith_short_12: NNPKIIWLOJ7U · pith_short_16: NNPKIIWLOJ7UPO6Q · pith_short_8: NNPKIIWL
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NNPKIIWLOJ7UPO6Q57AZTXLE34 \
  | 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: 6b5ea422cb727f47bbd0efc199dd64df0e692aa400ef9d5f5a791ff18f3f1f24
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "3c7cb82cdd8e43631b2ff3ee09c2872c8b205dd54236533e3eed66758cdb0dea",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2023-10-19T08:19:28Z",
    "title_canon_sha256": "f42d32dd7c1c0bd8aa42474d9da3a02b10db1515411d8f69ac189fabd1841cce"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2310.12567",
    "kind": "arxiv",
    "version": 3
  }
}