Pith Number
pith:X3HCLL4R
pith:2024:X3HCLL4RRC2EUHJZRYGINE35CR
not attested
not anchored
not stored
refs pending
Learning Humanoid Locomotion with Perceptive Internal Model
arxiv:2411.14386 v1 · 2024-11-21 · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{X3HCLL4RRC2EUHJZRYGINE35CR}
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 | 2026-07-05T09:38:46.178986Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bece25af9188b44a1d398e0c86937d1464bbacb8e86272711525f7bd6ce51898
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/X3HCLL4RRC2EUHJZRYGINE35CR \
| 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: bece25af9188b44a1d398e0c86937d1464bbacb8e86272711525f7bd6ce51898
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a202b611f5bd39dc6b2dc5c29d0022c29e1f0805aa1c0859166d1a54095dea62",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2024-11-21T18:21:59Z",
"title_canon_sha256": "394155f67a9f2873ce3633cc89fb4fc6c66fde335f2070c25e1834db57bcbf41"
},
"schema_version": "1.0",
"source": {
"id": "2411.14386",
"kind": "arxiv",
"version": 1
}
}