Pith Number
pith:DZSMDMJM
pith:2025:DZSMDMJML4SPYKKWBKSASOQC36
not attested
not anchored
not stored
refs pending
How Should We Meta-Learn Reinforcement Learning Algorithms?
arxiv:2507.17668 v2 · 2025-07-23 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DZSMDMJML4SPYKKWBKSASOQC36}
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 | 2026-07-05T12:08:05.564573Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1e64c1b12c5f24fc29560aa4093a02dfb35380767504bc4c54a1d8fada762590
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DZSMDMJML4SPYKKWBKSASOQC36 \
| 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: 1e64c1b12c5f24fc29560aa4093a02dfb35380767504bc4c54a1d8fada762590
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "24fe5ed33647d9927e2406ca0fcb833479e8385c492ce270f984e890da71ce75",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-07-23T16:31:38Z",
"title_canon_sha256": "5268c262f1e77f05892fae3b3e0bf0c3953e5c22f3751cc5fa8c1e9cf76557ef"
},
"schema_version": "1.0",
"source": {
"id": "2507.17668",
"kind": "arxiv",
"version": 2
}
}