Pith Number
pith:FQLV5H64
pith:2021:FQLV5H64FSKHGJ2AKS5YY4EBGL
not attested
not anchored
not stored
refs pending
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
arxiv:2107.09645 v1 · 2021-07-20 · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{FQLV5H64FSKHGJ2AKS5YY4EBGL}
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 | 2026-07-05T02:59:33.504683Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2c175e9fdc2c9473274054bb8c708132ca41b31dfe7f11ab065077eb6ab8d5fc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/FQLV5H64FSKHGJ2AKS5YY4EBGL \
| 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: 2c175e9fdc2c9473274054bb8c708132ca41b31dfe7f11ab065077eb6ab8d5fc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fe2f46042c94430ac584f5945b6229afc7e3e5bc40d4ee36ccda03e94972c32a",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2021-07-20T17:29:13Z",
"title_canon_sha256": "74f758eb9658f72dd942327b1537a2085c5462da52f6addfe2e3154e13c42627"
},
"schema_version": "1.0",
"source": {
"id": "2107.09645",
"kind": "arxiv",
"version": 1
}
}