Pith Number

pith:BS4VGKKU

pith:2020:BS4VGKKUL26RWZ45KEDPBWV2OH

not attested not anchored not stored refs pending

Conservative Q-Learning for Offline Reinforcement Learning

Aurick Zhou, Aviral Kumar, George Tucker, Sergey Levine

arxiv:2006.04779 v3 · 2020-06-08 · cs.LG · stat.ML

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{BS4VGKKUL26RWZ45KEDPBWV2OH}

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

19 papers in Pith

Reward-free Pretraining for Reinforcement Learning via Occupancy Coverage Maximization

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies

Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience

From Bootstrapping to Sequence Modeling: A Unified Generative Framework for Personalized Landing-Page Modeling

Pessimism's Paradox: Conservative Offline Training Amplifies Reward Hacking During Online Adaptation in Reasoning Models

Receipt and verification

First computed	2026-07-05T01:28:20.357403Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0cb95329545ebd1b679d5106f0daba71d993df9d3be8192e13b75e38223571ca

Aliases

arxiv: 2006.04779 · arxiv_version: 2006.04779v3 · doi: 10.48550/arxiv.2006.04779 · pith_short_12: BS4VGKKUL26R · pith_short_16: BS4VGKKUL26RWZ45 · pith_short_8: BS4VGKKU

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/BS4VGKKUL26RWZ45KEDPBWV2OH \
  | 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: 0cb95329545ebd1b679d5106f0daba71d993df9d3be8192e13b75e38223571ca

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ebef52ba6e8c969fe889154f4f0d4e8c09ed1642ac1e58d2a587f1db12b473fc",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-06-08T17:53:42Z",
    "title_canon_sha256": "ea62a204edfb6c5daa349cac7ed817799f81a519e60dd375eca40a62228e3149"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2006.04779",
    "kind": "arxiv",
    "version": 3
  }
}