UTD Press Journals
Advances in Adaptive Intelligence

PhysEditWorld - A Large-Scale Dataset Toward Physics-Editable World Models: Attributing Performance to Model Components

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Abstract

Component-level evidence is needed to distinguish genuine contributions from gains produced by the surrounding pipeline. This structured evidence review evaluates "PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models" alongside nine author-disjoint, topically matched publications in physics-aware world modeling. It compares construct definitions, evaluation choices, operating assumptions, and reported limitations instead of treating bibliographic similarity as empirical equivalence. Viewed through ablation logic and component attribution, the map separates claims supported by the available record from questions that still require full-text extraction, replication, or new experiments. The synthesis is interpretive rather than meta-analytic and therefore does not present a pooled effect estimate or a new causal result. The resulting agenda calls for controlled ablations, interaction tests, and reporting of uncertainty around each component's incremental contribution.

Keywords
physics-aware world modelingablation logic and component attributionevidence synthesisreproducibilityresearch evaluation
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Publication details
Journal
Advances in Adaptive Intelligence
Volume
1 (2026)
Article number
aai20260037
License
CC BY 4.0