Pith Number
pith:UGQ7E5KG
pith:2025:UGQ7E5KGSNNFW4FY4TIA7IHL6Y
not attested
not anchored
not stored
refs pending
RoboGPT-R1: Enhancing Robot Task Planning with Reinforcement Learning
arxiv:2510.14828 v3 · 2025-10-16 · cs.AI · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UGQ7E5KGSNNFW4FY4TIA7IHL6Y}
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 | 2026-06-10T01:10:57.306738Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a1a1f27546935a5b70b8e4d00fa0ebf621475ce4ba625db5ff6b61c6a19d595b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UGQ7E5KGSNNFW4FY4TIA7IHL6Y \
| 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: a1a1f27546935a5b70b8e4d00fa0ebf621475ce4ba625db5ff6b61c6a19d595b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "020912ef26925b8e46841a59e92b70eb4ceb855bdbe5f18efc43afae539e771a",
"cross_cats_sorted": [
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-10-16T16:04:35Z",
"title_canon_sha256": "b5747d266178acd92ef2736750307939447392661e638bec5764c462d1461a11"
},
"schema_version": "1.0",
"source": {
"id": "2510.14828",
"kind": "arxiv",
"version": 3
}
}