Pith Number
pith:D57TLX5Z
pith:2022:D57TLX5ZHME3FIQMBQAPODU74X
not attested
not anchored
not stored
refs pending
Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training
arxiv:2209.14488 v2 · 2022-09-29 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{D57TLX5ZHME3FIQMBQAPODU74X}
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
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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 | 2026-07-05T06:06:28.820867Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1f7f35dfb93b09b2a20c0c00f70e9fe5dcf130c0d57ab86c94211518c8dac26a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/D57TLX5ZHME3FIQMBQAPODU74X \
| 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: 1f7f35dfb93b09b2a20c0c00f70e9fe5dcf130c0d57ab86c94211518c8dac26a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9696696ee555c7ecbd9576f2b68195378b76cdb17790d5d146f11a141fa52ca8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2022-09-29T00:42:44Z",
"title_canon_sha256": "09b394dc4fa1e3667a4be0acc2ba8682935befb9138dba4abf29c3057316f708"
},
"schema_version": "1.0",
"source": {
"id": "2209.14488",
"kind": "arxiv",
"version": 2
}
}