Pith Number
pith:AFIZYN7Q
pith:2024:AFIZYN7Q4KPXV4SOQONWOJHWNO
not attested
not anchored
not stored
refs pending
GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs
arxiv:2410.03645 v1 · 2024-10-04 · cs.RO · cs.AI · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AFIZYN7Q4KPXV4SOQONWOJHWNO}
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
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T09:16:04.177173Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
01519c37f0e29f7af24e839b6724f66b9687c2f76bafb61cd19e0b7b0bd32408
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AFIZYN7Q4KPXV4SOQONWOJHWNO \
| 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: 01519c37f0e29f7af24e839b6724f66b9687c2f76bafb61cd19e0b7b0bd32408
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d2a5f573fd49c9231b52721626999f20ec770e89508b39a860d579ef471edbd8",
"cross_cats_sorted": [
"cs.AI",
"cs.CV",
"cs.LG"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2024-10-04T17:51:33Z",
"title_canon_sha256": "8c1dbe2dd3a841d66e2d4cbb0fb52ca8643fc8111f7bc2ec0680339d2d2208c9"
},
"schema_version": "1.0",
"source": {
"id": "2410.03645",
"kind": "arxiv",
"version": 1
}
}