Pith Number
pith:QVKAVUR3
pith:2024:QVKAVUR3OQXNJ5HJYSB3XYMCW7
not attested
not anchored
not stored
refs pending
Learning Speed-Adaptive Walking Agent Using Imitation Learning with Physics-Informed Simulation
arxiv:2412.03949 v1 · 2024-12-05 · cs.RO · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QVKAVUR3OQXNJ5HJYSB3XYMCW7}
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.
Receipt and verification
| First computed | 2026-07-05T09:44:56.927443Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
85540ad23b742ed4f4e9c483bbe182b7c09d179cf63ae23f3938401016bcb2d6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QVKAVUR3OQXNJ5HJYSB3XYMCW7 \
| 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: 85540ad23b742ed4f4e9c483bbe182b7c09d179cf63ae23f3938401016bcb2d6
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "6aae9fbdf47b1ede3cef06a9af295b463bdbf97e1486ccc639ddbe5627bedbd0",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.RO",
"submitted_at": "2024-12-05T07:55:58Z",
"title_canon_sha256": "7d83b89af228f0c03063b468ef1e2cb2b4a5811d8ae802999b066f24840c3e2b"
},
"schema_version": "1.0",
"source": {
"id": "2412.03949",
"kind": "arxiv",
"version": 1
}
}