Pith Number
pith:IQXX7PPS
pith:2026:IQXX7PPSD4SZ7OGZQRXVCQEPNG
not attested
not anchored
not stored
refs pending
Optimal Data Acquisition for Reinforcement Learning: A Large Deviations Perspective
arxiv:2605.28675 v1 · 2026-05-27 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IQXX7PPSD4SZ7OGZQRXVCQEPNG}
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 | 2026-05-28T02:04:59.555241Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
442f7fbdf21f259fb8d9846f51408f69b976376c7a7f125d8bd1e0ce14e7c504
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IQXX7PPSD4SZ7OGZQRXVCQEPNG \
| 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: 442f7fbdf21f259fb8d9846f51408f69b976376c7a7f125d8bd1e0ce14e7c504
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "43d6d86b709022c2a241fb54385e69488249a42b733920c64b54293837c15d83",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2026-05-27T16:08:56Z",
"title_canon_sha256": "542c5197a9e1f48a0c2fcd5b7d3dfdef648531b2ba7cde3baad76987a16b5a53"
},
"schema_version": "1.0",
"source": {
"id": "2605.28675",
"kind": "arxiv",
"version": 1
}
}