Pith Number
pith:6OD3NUAV
pith:2023:6OD3NUAV5QSKQNJ3CT2X5V6A6C
not attested
not anchored
not stored
refs pending
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
arxiv:2310.03984 v3 · 2023-10-06 · cs.IR · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6OD3NUAV5QSKQNJ3CT2X5V6A6C}
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 | 2026-07-05T10:20:09.960787Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f387b6d015ec24a8353b14f57ed7c0f0a8220f9635d7b0a3f5163e20422c6ab7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6OD3NUAV5QSKQNJ3CT2X5V6A6C \
| 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: f387b6d015ec24a8353b14f57ed7c0f0a8220f9635d7b0a3f5163e20422c6ab7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "316a6848ffae663ec832bbeac1e6dc95c60abc60567e784520573a1aef6d1cbf",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.IR",
"submitted_at": "2023-10-06T02:45:21Z",
"title_canon_sha256": "7e11f112f12a36b91e4829a757e4fe137310594e929fa9be8cd62eabf8ffc2cd"
},
"schema_version": "1.0",
"source": {
"id": "2310.03984",
"kind": "arxiv",
"version": 3
}
}