Pith Number
pith:DOAXL2GI
pith:2023:DOAXL2GI4PFA6N72N2FYB3KCWY
not attested
not anchored
not stored
refs pending
Gen2Sim: Scaling up Robot Learning in Simulation with Generative Models
arxiv:2310.18308 v1 · 2023-10-27 · cs.RO · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DOAXL2GI4PFA6N72N2FYB3KCWY}
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 | 2026-07-05T07:06:00.186681Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1b8175e8c8e3ca0f37fa6e8b80ed42b600a71f2ff9528a16621eab08f634e6ab
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DOAXL2GI4PFA6N72N2FYB3KCWY \
| 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: 1b8175e8c8e3ca0f37fa6e8b80ed42b600a71f2ff9528a16621eab08f634e6ab
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f7e82df47f9e81b5663bbe5b7b303fcb3e265df6d64607309553860a6ad1c58e",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2023-10-27T17:55:32Z",
"title_canon_sha256": "8b9f93d6f3212aece38459e9cb8963ef5e5c4f1887f5a8511372f57cc132973d"
},
"schema_version": "1.0",
"source": {
"id": "2310.18308",
"kind": "arxiv",
"version": 1
}
}