Pith Number
pith:C4OARQPN
pith:2021:C4OARQPNY27FXDIPLYK4W3OCII
not attested
not anchored
not stored
refs pending
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
arxiv:2107.06466 v2 · 2021-07-14 · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{C4OARQPNY27FXDIPLYK4W3OCII}
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.
Receipt and verification
| First computed | 2026-07-05T03:43:42.646783Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
171c08c1edc6be5b8d0f5e15cb6dc24226340304ac8955dccd4e708970ee4cc0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/C4OARQPNY27FXDIPLYK4W3OCII \
| 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: 171c08c1edc6be5b8d0f5e15cb6dc24226340304ac8955dccd4e708970ee4cc0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "63cece5059fcfb7c5589314112f8ebe5fc8ccaae25b349dbf4a786d8213889fd",
"cross_cats_sorted": [
"stat.ML"
],
"license": "http://creativecommons.org/publicdomain/zero/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-07-14T03:03:56Z",
"title_canon_sha256": "331dfb76b0fe483563ad0712aca09c393299d5509597105fbbfffab5151f4a1f"
},
"schema_version": "1.0",
"source": {
"id": "2107.06466",
"kind": "arxiv",
"version": 2
}
}