Pith Number
pith:RBDWO4FI
pith:2025:RBDWO4FIRYMXFJSVLBG2PE3VFY
not attested
not anchored
not stored
refs pending
Utilizing Evolution Strategies to Train Transformers in Reinforcement Learning
arxiv:2501.13883 v2 · 2025-01-23 · cs.LG · cs.NE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RBDWO4FIRYMXFJSVLBG2PE3VFY}
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.
Receipt and verification
| First computed | 2026-07-05T11:45:30.997848Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
88476770a88e1972a655584da793752e37cf5cd5810e0f89e5a4059eaf3616f8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RBDWO4FIRYMXFJSVLBG2PE3VFY \
| 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: 88476770a88e1972a655584da793752e37cf5cd5810e0f89e5a4059eaf3616f8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0c9920126663d74a04695514cbe6abf77b2cbeccdb6d4e98fdc615dc9ae4fe7d",
"cross_cats_sorted": [
"cs.NE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-23T17:56:40Z",
"title_canon_sha256": "eb91ea76e07a17fc725547cd0a21658245fa50023545ebf60a14a97b0535abe7"
},
"schema_version": "1.0",
"source": {
"id": "2501.13883",
"kind": "arxiv",
"version": 2
}
}