Pith Number
pith:5KBVHWZD
pith:2022:5KBVHWZDGM6KGPQXWX6LCJ5K5H
not attested
not anchored
not stored
refs pending
Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
arxiv:2211.02231 v1 · 2022-11-04 · cs.RO · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5KBVHWZDGM6KGPQXWX6LCJ5K5H}
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 | 2026-07-05T05:13:13.019394Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ea8353db23333ca33e17b5fcb127aae9db31bacbaa004e4df5ee3960204b9187
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5KBVHWZDGM6KGPQXWX6LCJ5K5H \
| 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: ea8353db23333ca33e17b5fcb127aae9db31bacbaa004e4df5ee3960204b9187
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bb95cb10d000df3dd95978851bce00eeb8818fd8d49d771c7b3bd395c9356a2e",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2022-11-04T02:42:17Z",
"title_canon_sha256": "c1bc488f0567dc71b270f3558d42c3802e16ae6ec574aad0a0d05e846c1563df"
},
"schema_version": "1.0",
"source": {
"id": "2211.02231",
"kind": "arxiv",
"version": 1
}
}