Keywords
constraint-preserving rollout
interaction complexity
paired simulation
reproducibility
Abstract
We evaluated constraint-preserving rollout for physics-aware world modeling under 42% interaction complexity. A deterministic paired simulation generated 64 cases and preserved a low-signal stratum. Mean state-transition fidelity changed from 0.517 to 0.570; the paired difference was +0.053 (95% interval +0.051 to +0.056). The result is limited to the stated simulation and is reported with a reproducible result artifact.
References
Hu, B., Ma, Y., Huang, J., Zhang, Z., Wu, H., Zhang, R., Li, Y., Wang, Z., Zhang, Y., Tseng, C.-M., Li, H., Qian, S., Zhou, J., Zhang, K., Liang, X., Jia, J., & Li, X. (2026). PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models. arXiv. https://doi.org/10.48550/arXiv.2606.26694
Okechukwu, O. P., & Okechukwu, G. N. (2026). A Multimodal Deep Learning Model for Emotion Recognition from Video, Audio and Text Data. World Journal of Advanced Engineering Technology and Sciences, 19(2), 121-135. https://doi.org/10.30574/wjaets.2026.19.2.0257
Chatterjee, S., Munoz-Jaramillo, A., & Lamb, D. (2021). Human-efficient labeling of a solar flux emergence video dataset by a deep learning model. https://doi.org/10.21203/rs.3.rs-366908/v1
YÜCEL, F., & SÜRER, E. (2020). IMPLEMENTATION OF A GENERIC FRAMEWORK ON CROWD SIMULATION: A NEW ENVIRONMENT TO MODEL CROWD BEHAVIOR AND DESIGN VIDEO GAMES. Mugla Journal of Science and Technology, 6(2), 69-78. https://doi.org/10.22531/muglajsci.706841
Priego, E. (2014). The impacts of “Impact” [video, slides, charts, dataset] #uksglive. https://doi.org/10.59350/4r8z2-62750
Huang, C. Y., Sun, C. T., Hsieh, J. L., Chen, Y. M. A., & Lin, H. (2005). A Novel Small-World Model: Using Social Mirror Identities for Epidemic Simulations. SIMULATION, 81(10), 671-699. https://doi.org/10.1177/0037549705061519
Lee, S. S., Penner, J. E., & Wang, M. (2009). Comparison of a global-climate model simulation to a cloud-system resolving model simulation for long-term thin stratocumulus clouds. Atmospheric Chemistry and Physics, 9(17), 6497-6520. https://doi.org/10.5194/acp-9-6497-2009
Aher, P., T, T., & Manoj, B. (2023). YouTube Video Network Dataset for Israel-Hamas War. https://doi.org/10.36227/techrxiv.170327405.50910935/v1
Chen, J., Wee, L., Dekker, A., & Bermejo, I. (2023). Using 3D deep features from CT scans for cancer prognosis based on a video classification model: A multi-dataset feasibility study. Medical Physics, 50(7), 4220-4233. https://doi.org/10.1002/mp.16430
Dobrin, S., & Chmiel, L. (2026). ARYA: A Physics-Constrained Composable & Deterministic World Model Architecture. Journal of Advanced Robotics, Autonomous Systems and Human-Machine Interaction, 02(02), 01-19. https://doi.org/10.66311/3070-6491.02.02.05
Ge, C., Luo, L., Zhang, J., Meng, X., & Chen, Y. (2021). FRL: An integrative feature selection algorithm based on the Fisher score, recursive feature elimination, and logistic regression to identify potential genomic biomarkers. BioMed research international, 2021(1), 4312850.