pith. sign in
Pith Number

pith:MWMMPJ4D

pith:2024:MWMMPJ4DUG5W2CBTIQJBC4NRPH
not attested not anchored not stored refs pending

RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences

Fei-Yue Wang, Gang Xiong, Jie Cheng, Qinghai Miao, Xingyuan Dai, Yisheng Lv

arxiv:2402.17257 v4 · 2024-02-27 · cs.LG · cs.AI · cs.RO

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MWMMPJ4DUG5W2CBTIQJBC4NRPH}

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 open · sign in to claim
4 Citations open
5 Replications open
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

1 paper in Pith

Receipt and verification
First computed 2026-07-05T09:26:58.452917Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6598c7a783a1bb6d083344121171b179f4015ab63516584080b381f66c732ce0

Aliases

arxiv: 2402.17257 · arxiv_version: 2402.17257v4 · doi: 10.48550/arxiv.2402.17257 · pith_short_12: MWMMPJ4DUG5W · pith_short_16: MWMMPJ4DUG5W2CBT · pith_short_8: MWMMPJ4D
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MWMMPJ4DUG5W2CBTIQJBC4NRPH \
  | 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: 6598c7a783a1bb6d083344121171b179f4015ab63516584080b381f66c732ce0
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "805db4b59bb62fb28792364f57ac3b17fa727bf77b56430f7815c031c2e03800",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.RO"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-02-27T07:03:25Z",
    "title_canon_sha256": "9b1d3671fb0b252122e7dbdfaeea281b2d1a947ea6e983e39911e70b153e2ed9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2402.17257",
    "kind": "arxiv",
    "version": 4
  }
}