Pith Number

pith:QCXBEDIT

pith:2025:QCXBEDITASNQZYAYHTG6VE7KSF

not attested not anchored not stored refs pending

Langevin Soft Actor-Critic: Efficient Exploration through Uncertainty-Driven Critic Learning

Doina Precup, Guangyuan Wang, Haque Ishfaq, Sami Nur Islam

arxiv:2501.17827 v1 · 2025-01-29 · cs.LG

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\usepackage{pith}
\pithnumber{QCXBEDITASNQZYAYHTG6VE7KSF}

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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

3 papers in Pith

Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution

An Information-Theoretic Analysis of OOD Generalization in Meta-Reinforcement Learning

Provably avoiding over-optimization in Direct Preference Optimization without knowing the data distribution

Receipt and verification

First computed	2026-07-05T10:06:58.699704Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

80ae120d13049b0ce0183ccdea93ea915e93eaa098e075969d2ff6e109d3ea87

Aliases

arxiv: 2501.17827 · arxiv_version: 2501.17827v1 · doi: 10.48550/arxiv.2501.17827 · pith_short_12: QCXBEDITASNQ · pith_short_16: QCXBEDITASNQZYAY · pith_short_8: QCXBEDIT

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/QCXBEDITASNQZYAYHTG6VE7KSF \
  | 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: 80ae120d13049b0ce0183ccdea93ea915e93eaa098e075969d2ff6e109d3ea87

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "cfa34d4134f30f36d13f2a5282584c70215c3c725f29adff5e060d958c574b41",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-01-29T18:18:00Z",
    "title_canon_sha256": "00bbafdffd8d4c9fcb54f9c879020144f9d2dd5b716ee9ba6d723ac665ce1afd"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2501.17827",
    "kind": "arxiv",
    "version": 1
  }
}