Pith Number
pith:AVX3FG7R
pith:2026:AVX3FG7RH4F6SJJ3N3Y753ZQB4
not attested
not anchored
not stored
refs pending
Towards Scalable Multi-Task Reinforcement Learning with Large Decision Models
arxiv:2606.24962 v1 · 2026-06-23 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AVX3FG7RH4F6SJJ3N3Y753ZQB4}
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.
Receipt and verification
| First computed | 2026-06-25T00:17:46.991863Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
056fb29bf13f0be9253b6ef1feef300f3b8b927cb4dd29995a975cae961b3155
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AVX3FG7RH4F6SJJ3N3Y753ZQB4 \
| 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: 056fb29bf13f0be9253b6ef1feef300f3b8b927cb4dd29995a975cae961b3155
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8b695682c00b51fd420352a623e934c33cfc31a19826ecf77794626818b3769b",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-06-23T09:13:08Z",
"title_canon_sha256": "4ac7a10daea5c2ad1e52d75dc39eaf14f630a5af9ac5c63cb3d0c2b9d1da56d5"
},
"schema_version": "1.0",
"source": {
"id": "2606.24962",
"kind": "arxiv",
"version": 1
}
}