Pith Number
pith:2GB4MLVF
pith:2023:2GB4MLVFRB2HZQ5L7R3LL4V5YW
not attested
not anchored
not stored
refs pending
Nonprehensile Planar Manipulation through Reinforcement Learning with Multimodal Categorical Exploration
arxiv:2308.02459 v1 · 2023-08-04 · cs.RO · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2GB4MLVFRB2HZQ5L7R3LL4V5YW}
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 | 2026-07-05T06:37:44.581417Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d183c62ea588747cc3abfc76b5f2bdc5aa427c9ec8db3d2cf5582df7900d1d15
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2GB4MLVFRB2HZQ5L7R3LL4V5YW \
| 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: d183c62ea588747cc3abfc76b5f2bdc5aa427c9ec8db3d2cf5582df7900d1d15
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5d033b3b170e6d4c64e2d26398332f13cd8f101828a97109dfe940d922568b84",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2023-08-04T16:55:00Z",
"title_canon_sha256": "a6b24b583d49cd4b97e77a5ad12557e2de9e1e5a9d9b4ab543d8b6b20ba53f34"
},
"schema_version": "1.0",
"source": {
"id": "2308.02459",
"kind": "arxiv",
"version": 1
}
}