Pith Number
pith:AJ6WABBV
pith:2023:AJ6WABBVEMPYWARF3N73DL37KH
not attested
not anchored
not stored
refs pending
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation
arxiv:2307.04571 v1 · 2023-07-10 · cs.IR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AJ6WABBVEMPYWARF3N73DL37KH}
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
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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 | 2026-07-05T06:29:15.184674Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
027d600435231f8b0225db7fb1af7f51c6e13af0c639d99e6488e11ee01ee4df
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AJ6WABBVEMPYWARF3N73DL37KH \
| 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: 027d600435231f8b0225db7fb1af7f51c6e13af0c639d99e6488e11ee01ee4df
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5608f695506678b1151b98b90f5e68315387bba86a385358658604b25059c319",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.IR",
"submitted_at": "2023-07-10T14:03:34Z",
"title_canon_sha256": "0ba41332c911f3924cffa01c47746a9250c66fa8753595085b9babb752462994"
},
"schema_version": "1.0",
"source": {
"id": "2307.04571",
"kind": "arxiv",
"version": 1
}
}