Pith Number

pith:XBAO66HL

pith:2023:XBAO66HLGAZ7PWTSZPKKKPCGDO

not attested not anchored not stored refs pending

Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining

Licong Lin, Song Mei, Yu Bai

arxiv:2310.08566 v2 · 2023-10-12 · cs.LG · cs.AI · cs.CL · math.ST · stat.ML · stat.TH

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Add to your LaTeX paper

\usepackage{pith}
\pithnumber{XBAO66HLGAZ7PWTSZPKKKPCGDO}

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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

5 papers in Pith

Reinforcement Learning Foundation Models Should Already Be A Thing

Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation

Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning

One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning

Convergent Stochastic Training of Attention and Understanding LoRA

Receipt and verification

First computed	2026-07-05T08:23:12.897934Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

b840ef78eb3033f7da72cbd4a53c461bb1a8370e90f36337b136d3378aa8fc1a

Aliases

arxiv: 2310.08566 · arxiv_version: 2310.08566v2 · doi: 10.48550/arxiv.2310.08566 · pith_short_12: XBAO66HLGAZ7 · pith_short_16: XBAO66HLGAZ7PWTS · pith_short_8: XBAO66HL

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/XBAO66HLGAZ7PWTSZPKKKPCGDO \
  | 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: b840ef78eb3033f7da72cbd4a53c461bb1a8370e90f36337b136d3378aa8fc1a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "09932880fbf455f72864cb6757658b634d67134414608980e6e82313c520d1ac",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.CL",
      "math.ST",
      "stat.ML",
      "stat.TH"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-10-12T17:55:02Z",
    "title_canon_sha256": "aea4356a2be42e6b14e3f1d8e236daab2bf659d1db0084bcdcbbd6af6d295923"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2310.08566",
    "kind": "arxiv",
    "version": 2
  }
}