Pith Number

pith:5AMTYPH2

pith:2020:5AMTYPH2UFPVIFHMSAZOBQMJU6

not attested not anchored not stored refs pending

MOReL : Model-Based Offline Reinforcement Learning

Aravind Rajeswaran, Praneeth Netrapalli, Rahul Kidambi, Thorsten Joachims

arxiv:2005.05951 v3 · 2020-05-12 · cs.LG · cs.AI · 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{5AMTYPH2UFPVIFHMSAZOBQMJU6}

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

7 papers in Pith

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation

UBP2: Uncertainty-Balanced Preference Planning for Efficient Preference-based Reinforcement Learning

SC3-Eval: Evaluating Robot Foundation Models via Self-Consistent Video Generation

Safety, Security, and Cognitive Risks in World Models

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Receipt and verification

First computed	2026-07-05T02:19:14.978169Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e8193c3cfaa15f5414ec9032e0c189a7895aba9c169154c99d3bfb228c7189fc

Aliases

arxiv: 2005.05951 · arxiv_version: 2005.05951v3 · doi: 10.48550/arxiv.2005.05951 · pith_short_12: 5AMTYPH2UFPV · pith_short_16: 5AMTYPH2UFPVIFHM · pith_short_8: 5AMTYPH2

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/5AMTYPH2UFPVIFHMSAZOBQMJU6 \
  | 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: e8193c3cfaa15f5414ec9032e0c189a7895aba9c169154c99d3bfb228c7189fc

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "4769915cae0aa63667030bddf5af6b1d9c0ce45c94895b0dc2aa568c937963ff",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-05-12T17:52:43Z",
    "title_canon_sha256": "cb5711d47e2616f39333aeb1a5e072c5b3f63a0689287a11ac25f00a14cceca7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2005.05951",
    "kind": "arxiv",
    "version": 3
  }
}