Pith Number

pith:NTALJIUW

pith:2026:NTALJIUWD7FPIORBQZ3UDBJXUF

not attested not anchored not stored refs resolved

Coding Agent Is Good As World Simulator

Bocheng Zou, Dan Negrut, Hongyu Wang, Jingquan Wang, Radu Serban

A multi-agent framework generates and refines executable physics simulation code from prompts to create world models that enforce physical constraints, claiming superior accuracy and fidelity over video-based alternatives.

arxiv:2605.14398 v1 · 2026-05-14 · cs.AI

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\pithnumber{NTALJIUWD7FPIORBQZ3UDBJXUF}

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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.

Claims

C1strongest claim

Experimental results show that our framework outperforms advanced video-based models in physical accuracy, instruction fidelity and visual quality, which could be applied to various scenarios including driving simulation and embodied robot tasks.

C2weakest assumption

The assumption that the visual review and physics analysis agents can reliably detect and guide corrections for physical inconsistencies in generated code without ground-truth physics data or human intervention, allowing the iterative process to converge to valid simulations.

C3one line summary

References

59 extracted · 59 resolved · 9 Pith anchors

[1] Recurrent world models facilitate policy evolution 2018

[2] Learning latent dynamics for planning from pixels 2019

[3] Dream to control: Learning behaviors by latent imagination 2020

[4] Genie: Generative interactive environments 2024

[5] GAIA-1: A Generative World Model for Autonomous Driving 2023 · arXiv:2309.17080

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-17T23:39:07.520747Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6cc0b4a2961fcaf43a218677418537a145f216e526e9e3ebe6325f904166d6cc

Aliases

arxiv: 2605.14398 · arxiv_version: 2605.14398v1 · doi: 10.48550/arxiv.2605.14398 · pith_short_12: NTALJIUWD7FP · pith_short_16: NTALJIUWD7FPIORB · pith_short_8: NTALJIUW

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/NTALJIUWD7FPIORBQZ3UDBJXUF \
  | 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: 6cc0b4a2961fcaf43a218677418537a145f216e526e9e3ebe6325f904166d6cc

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "6a42d9f513213e04ba7c2e16b617ab18841d3da69bddd190a71b1b75f04cc54d",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-14T05:33:41Z",
    "title_canon_sha256": "313c79e996bdead27ead449ad311d39492bf69b6e714935fc1853a9d93162393"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14398",
    "kind": "arxiv",
    "version": 1
  }
}