Typed states for the displayed outbound observations.
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Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 3 inbound Pith citation observations for arXiv:2605.27589.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T18:23:22.987086Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
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87 of 87 outbound references displayed
External citation measurements
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Don’t just assume; look and answer: Overcoming priors for visual question answering
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Diffusion for world modeling: Visual details matter in atari.Advances in Neural Information Processing Systems, 37:58757–58791, 2024
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Video pretraining (vpt): Learning to act by watching unlabeled online videos.Advances in Neural Information Processing Systems, 35:24639–24654, 2022
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Phyre: A new benchmark for physical reasoning.Advances in Neural Information Processing Systems, 32, 2019
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Revisiting Feature Prediction for Learning Visual Representations from Video
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Using thematic analysis in psychology.Qualitative research in psychology, 3(2):77–101, 2006
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios nuscenes: A multimodal dataset for autonomous driving
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Unveiling causal reasoning in large language models: Reality or mirage?Advances in Neural Information Processing Systems, 37:96640–96670, 2024
Reference 16
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Worldscore: A unified evaluation benchmark for world generation
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Vista: A generalizable driving world model with high fidelity and versatile controllability.Advances in Neural Information Processing Systems, 37:91560–91596, 2024
Reference 21
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Shortcut learning in deep neural networks.Nature Machine Intelligence, 2(11):665–673, 2020
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Agqa: A benchmark for compositional spatio-temporal reasoning
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios The Essential Role of Causality in Foundation World Models for Embodied AI
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios WorldModelBench: Judging Video Generation Models As World Models
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Multimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Discern Causal Links Across Modalities
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Physgen: Rigid-body physics-grounded image-to-video generation
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Compositional Causal Reasoning Evaluation in Language Models
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Counterfactual vqa: A cause-effect look at language bias
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Reference 49
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios WorldSimBench: Towards Video Generation Models as World Simulators
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What-If World: A Causal Benchmark for General World Models in Embodied Scenarios Toward causal representation learning.Proceedings of the IEEE, 109(5):612–634, 2021
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