Pith Number
pith:YSE54MPH
pith:2018:YSE54MPHGT23K36HD2YAN7KCTA
not attested
not anchored
not stored
refs pending
Adaptive Tensegrity Locomotion on Rough Terrain via Reinforcement Learning
arxiv:1809.10710 v1 · 2018-09-27 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{YSE54MPHGT23K36HD2YAN7KCTA}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T00:04:35.249761Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
c489de31e734f5b56fc71eb006fd4298162f5f0e0eae4056fd2b87d9e2a41bd9
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/YSE54MPHGT23K36HD2YAN7KCTA \
| 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: c489de31e734f5b56fc71eb006fd4298162f5f0e0eae4056fd2b87d9e2a41bd9
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d16f087e2495a9f5e5750e037d7a70140faaa0f54f4a1b1fcd5cf04988ca8718",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2018-09-27T18:19:28Z",
"title_canon_sha256": "77770efad9c4f8ec400149335e402a7cf9d8aafa96109f2457ddb8bffbff6e85"
},
"schema_version": "1.0",
"source": {
"id": "1809.10710",
"kind": "arxiv",
"version": 1
}
}