pith:2X6LUKKG
Executable World Models for ARC-AGI-3 in the Era of Coding Agents
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
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{2X6LUKKG5A6QG3TVAXYMGCTOGA}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
Claims
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.
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.
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
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
· · · · ·Agent API
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
{
"metadata": {
"abstract_canon_sha256": "751e8135997294981010355d4f00d6dca27dfc7ab4ac696b11d14aaa1d2ac278",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-05-06T17:12:36Z",
"title_canon_sha256": "9a6614e5b4848633f82450c5d093edf98cd4bcbc64ac279d5308faf2d5b4d6ff"
},
"schema_version": "1.0",
"source": {
"id": "2605.05138",
"kind": "arxiv",
"version": 2
}
}