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pith:2025:GOMUL7EQPJFDKCNDFEUITDG7LJ
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WorldPlay: Towards Long-Term Geometric Consistency for Real-Time Interactive World Modeling

Chunchao Guo, Haiyu Zhang, Haoyuan Wang, Junta Wu, Jun Zhang, Tengfei Wang, Wenqiang Sun, Yunhong Wang, Zehan Wang, Zhenwei Wang

WorldPlay generates long-horizon 720p video at 24 FPS while preserving geometric consistency through rebuilt context memory in a streaming diffusion model.

arxiv:2512.14614 v1 · 2025-12-16 · cs.CV · cs.GR

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Claims

C1strongest claim

WorldPlay generates long-horizon streaming 720p video at 24 FPS with superior consistency, comparing favorably with existing techniques and showing strong generalization across diverse scenes.

C2weakest assumption

The Reconstituted Context Memory and Context Forcing methods actually preserve long-range geometric information and prevent error drift in practice without introducing new artifacts or requiring impractical memory.

C3one line summary

WorldPlay uses dual action representation, reconstituted context memory, and context forcing distillation to produce consistent 720p streaming video at 24 FPS for interactive world modeling.

References

81 extracted · 81 resolved · 17 Pith anchors

[1] Diffusion for world modeling: Visual details matter in atari 2024
[2] Ac3d: Analyzing and improving 3d camera control in video diffusion trans- formers 2025
[3] Navigation world models 2025
[4] Uni3c: Unifying precisely 3d-enhanced camera and hu- man motion controls for video generation.arXiv preprint arXiv:2504.14899, 2025 2025
[5] Gamegen-x: Interactive open-world game video generation 2024

Formal links

3 machine-checked theorem links

Cited by

32 papers in Pith

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First computed 2026-05-17T23:38:52.349240Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

339945fc907a4a3509a32928898cdf5a5d0f46e78b75aaaf3d9a952265e6b3bd

Aliases

arxiv: 2512.14614 · arxiv_version: 2512.14614v1 · doi: 10.48550/arxiv.2512.14614 · pith_short_12: GOMUL7EQPJFD · pith_short_16: GOMUL7EQPJFDKCND · pith_short_8: GOMUL7EQ
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/GOMUL7EQPJFDKCNDFEUITDG7LJ \
  | 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: 339945fc907a4a3509a32928898cdf5a5d0f46e78b75aaaf3d9a952265e6b3bd
Canonical record JSON
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