Pith Number
pith:5IH6CBLM
pith:2025:5IH6CBLM2ZL7VNJ3I5E56YK2R3
not attested
not anchored
not stored
refs pending
Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents
arxiv:2507.23698 v1 · 2025-07-31 · cs.RO · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5IH6CBLM2ZL7VNJ3I5E56YK2R3}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T11:46:29.525169Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ea0fe1056cd657fab53b4749df615a8eead61f27b5f46b58855a78a92776573b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5IH6CBLM2ZL7VNJ3I5E56YK2R3 \
| 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: ea0fe1056cd657fab53b4749df615a8eead61f27b5f46b58855a78a92776573b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "df3ffdff7b24888714be3134009b6c6b6a3e9ae5ea23ff9efe0552bd9c6eb99a",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.RO",
"submitted_at": "2025-07-31T16:20:02Z",
"title_canon_sha256": "78056bd75a226e1068ff7f7c75cc97480d2870e48c2c966f5dba1cbecd43e5d1"
},
"schema_version": "1.0",
"source": {
"id": "2507.23698",
"kind": "arxiv",
"version": 1
}
}