Pith Number
pith:64YOE2AJ
pith:2021:64YOE2AJ4WWQQ5M7PQS4PKS3EK
not attested
not anchored
not stored
refs pending
On Multi-objective Policy Optimization as a Tool for Reinforcement Learning: Case Studies in Offline RL and Finetuning
arxiv:2106.08199 v2 · 2021-06-15 · cs.LG · cs.RO
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{64YOE2AJ4WWQQ5M7PQS4PKS3EK}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T06:36:19.296070Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f730e26809e5ad08759f7c25c7aa5b22bfc589a850735e57c638cf1bdd9ae82f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/64YOE2AJ4WWQQ5M7PQS4PKS3EK \
| 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: f730e26809e5ad08759f7c25c7aa5b22bfc589a850735e57c638cf1bdd9ae82f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "fdb9caabfeeef24afecdbf8248774f0ee8dc68ee1fee985d775ac58b7fa00ccd",
"cross_cats_sorted": [
"cs.RO"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.LG",
"submitted_at": "2021-06-15T14:59:14Z",
"title_canon_sha256": "e31f8c23669b3e0431d488b11237f821c9bd5e68c8fba6c60248a866fad00443"
},
"schema_version": "1.0",
"source": {
"id": "2106.08199",
"kind": "arxiv",
"version": 2
}
}