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pith:2X6LUKKG

pith:2026:2X6LUKKG5A6QG3TVAXYMGCTOGA
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Executable World Models for ARC-AGI-3 in the Era of Coding Agents

Sergey Rodionov

A coding-agent system using executable Python world models solves 7 of 25 public ARC-AGI-3 games with no game-specific code.

arxiv:2605.05138 v2 · 2026-05-06 · cs.AI

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1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

The agent fully solved 7 games, achieved a Relative Human Action Efficiency greater than 75% on 6 games, and obtained a mean per-game RHAE of 32.58%. Because the system uses no game-specific code, it can serve as a game-general baseline for ARC-AGI-3.

C2weakest assumption

That verifier-driven executable Python world models with refactoring as a proxy for MDL-like simplicity bias will generalize to the private validation set and other unseen tasks without requiring game-specific logic.

C3one line summary

Executable world model agents solve 7 of 25 ARC-AGI-3 public games with 32.58% mean RHAE as a game-general baseline.

Formal links

2 machine-checked theorem links

Receipt and verification
First computed 2026-06-09T01:05:18.778679Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

d5fcba2946e83d036e7505f0c30a6e300bf0573006442aa680b9318aeaaec936

Aliases

arxiv: 2605.05138 · arxiv_version: 2605.05138v2 · doi: 10.48550/arxiv.2605.05138 · pith_short_12: 2X6LUKKG5A6Q · pith_short_16: 2X6LUKKG5A6QG3TV · pith_short_8: 2X6LUKKG
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2X6LUKKG5A6QG3TVAXYMGCTOGA \
  | 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: d5fcba2946e83d036e7505f0c30a6e300bf0573006442aa680b9318aeaaec936
Canonical record JSON
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    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-06T17:12:36Z",
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