Pith Number
pith:GQ7NALPY
pith:2021:GQ7NALPYLRMVWXRC4JPNXMPMCV
not attested
not anchored
not stored
refs pending
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner
arxiv:2111.00262 v1 · 2021-10-30 · cs.RO · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GQ7NALPYLRMVWXRC4JPNXMPMCV}
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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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 | 2026-07-05T03:27:40.365922Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
343ed02df85c595b5e22e25edbb1ec15740a0c69c095cb3a5b5d37b39ac6f27c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GQ7NALPYLRMVWXRC4JPNXMPMCV \
| 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: 343ed02df85c595b5e22e25edbb1ec15740a0c69c095cb3a5b5d37b39ac6f27c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d42b748909c0f92735cba8d0cb18b8b4134db5774ec3ba68a02e1328d6ae55f2",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2021-10-30T14:24:39Z",
"title_canon_sha256": "1a0709c73d3ec0d85319c1a4ef5b308fdd6e21ac7e0243f6052eb9111cf267db"
},
"schema_version": "1.0",
"source": {
"id": "2111.00262",
"kind": "arxiv",
"version": 1
}
}