Pith Number
pith:YHZ3TRBO
pith:2020:YHZ3TRBO2QHE2AGQ2FKRKBFFM7
not attested
not anchored
not stored
refs pending
Efficient Learning of Control Policies for Robust Quadruped Bounding using Pretrained Neural Networks
arxiv:2011.00446 v3 · 2020-11-01 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YHZ3TRBO2QHE2AGQ2FKRKBFFM7}
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.
Receipt and verification
| First computed | 2026-07-05T07:06:16.564721Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c1f3b9c42ed40e4d00d0d1551504a567cb15205dae824000a90f7b78b0471295
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YHZ3TRBO2QHE2AGQ2FKRKBFFM7 \
| 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: c1f3b9c42ed40e4d00d0d1551504a567cb15205dae824000a90f7b78b0471295
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ee6cf6c474aee2e43d55f91a96d8de7c70d1399dc20136f6c56de4cc84625529",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2020-11-01T08:06:46Z",
"title_canon_sha256": "b199a8a2dbdf06ebd8ef58260a3ae7dbb065cbe8c58c1b9ec15f6b3558e2612e"
},
"schema_version": "1.0",
"source": {
"id": "2011.00446",
"kind": "arxiv",
"version": 3
}
}