Pith Number
pith:2ODOBNJ3
pith:2025:2ODOBNJ3S2EPKT7T4MRP563EHW
not attested
not anchored
not stored
refs pending
Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual Distractions
arxiv:2506.05419 v1 · 2025-06-05 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2ODOBNJ3S2EPKT7T4MRP563EHW}
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 | 2026-07-05T11:17:02.323916Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d386e0b53b9688f54ff3e322fefb643daf9b63b44d316a091e3121622e84cabc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2ODOBNJ3S2EPKT7T4MRP563EHW \
| 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: d386e0b53b9688f54ff3e322fefb643daf9b63b44d316a091e3121622e84cabc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "7f2f0b3b97bd3f26a83a3e209540dca8bc00257e89eac179723d2b9f394f4d48",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-06-05T00:39:03Z",
"title_canon_sha256": "17ba55264f65b40d16da2e830f8b8b3460ba82431ce733130fdc090f0e4d0d58"
},
"schema_version": "1.0",
"source": {
"id": "2506.05419",
"kind": "arxiv",
"version": 1
}
}