Pith Number
pith:DIOR6XV4
pith:2025:DIOR6XV4RKBHDTKFB4T6CAQHYT
not attested
not anchored
not stored
refs pending
The Role of Environment Access in Agnostic Reinforcement Learning
arxiv:2504.05405 v1 · 2025-04-07 · cs.LG · cs.AI · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DIOR6XV4RKBHDTKFB4T6CAQHYT}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T10:45:41.717910Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1a1d1f5ebc8a8271cd450f27e10207c4df27fbc3a8e0b777ba9da3f916121b17
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DIOR6XV4RKBHDTKFB4T6CAQHYT \
| 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: 1a1d1f5ebc8a8271cd450f27e10207c4df27fbc3a8e0b777ba9da3f916121b17
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "be88433ef5c997eb1231ab0c051d6f7bb49e5181e5b5d1e2e3db524b5434026b",
"cross_cats_sorted": [
"cs.AI",
"stat.ML"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-04-07T18:19:56Z",
"title_canon_sha256": "caad5bb620c2cd4635d57f4a05769e5857cc427db73a6b7d0b51ecbc3673cd42"
},
"schema_version": "1.0",
"source": {
"id": "2504.05405",
"kind": "arxiv",
"version": 1
}
}