Pith Number
pith:VEBEHFI7
pith:2021:VEBEHFI77Q5B2STEOAZSFGTURE
not attested
not anchored
not stored
refs pending
Reinforcement Learning with Evolutionary Trajectory Generator: A General Approach for Quadrupedal Locomotion
arxiv:2109.06409 v2 · 2021-09-14 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VEBEHFI77Q5B2STEOAZSFGTURE}
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 | 2026-07-05T03:14:57.237186Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a90243951ffc3a1d4a647033229a748927263eb52630a1b91f6d462c9d805b5f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VEBEHFI77Q5B2STEOAZSFGTURE \
| 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: a90243951ffc3a1d4a647033229a748927263eb52630a1b91f6d462c9d805b5f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "bc1aa4c208c88e915141389706637d6b82a101a53813936d62de6dafb971849d",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2021-09-14T02:51:50Z",
"title_canon_sha256": "e0777e1e4243802f29b6eed8b44d6d9a46e5659987cb4f4cce615b3a98eda93c"
},
"schema_version": "1.0",
"source": {
"id": "2109.06409",
"kind": "arxiv",
"version": 2
}
}