Pith Number
pith:U7E4KL6D
pith:2024:U7E4KL6DL3LGRZIDU6DFOTYEGH
not attested
not anchored
not stored
refs pending
Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning Approach
arxiv:2409.15755 v1 · 2024-09-24 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{U7E4KL6DL3LGRZIDU6DFOTYEGH}
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
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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 | 2026-07-05T09:10:59.598294Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a7c9c52fc35ed668e503a786574f0431df2fd83a41971760aeb6bee53a6e484a
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/U7E4KL6DL3LGRZIDU6DFOTYEGH \
| 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: a7c9c52fc35ed668e503a786574f0431df2fd83a41971760aeb6bee53a6e484a
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "364ce1ce88aea5f4ed67a0ad1a4c55bad09eda2a1bc21e0289093821fd59ef3d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2024-09-24T05:25:24Z",
"title_canon_sha256": "e18ca2b878fbee32a22ff5334c100e23deab1bc1470d2906e3b82598937fa68b"
},
"schema_version": "1.0",
"source": {
"id": "2409.15755",
"kind": "arxiv",
"version": 1
}
}