Keep the Future, Drop the Rollout: RIFT for World Action Models | Paper Citation Record

Observation c61c7d53-bcd2-461d-ae95-2ed7b7e324bd · outbound

This paper cites Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models.

Keep the Future, Drop the Rollout: RIFT for World Action Models Privileged Foresight Distillation: Zero-Cost Future Correction for World Action Models

Reference 1

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Observation 3b7262c5-a7dc-468d-8448-2d556e6b1ed3 · outbound

This paper cites Fast-WAM: Do World Action Models Need Test-time Future Imagination?.

Keep the Future, Drop the Rollout: RIFT for World Action Models Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 2

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Observation 29936d4e-e17f-4e3b-863e-b5e6f300d5f2 · outbound

This paper cites Being-H0.7: A Latent World-Action Model from Egocentric Videos.

Keep the Future, Drop the Rollout: RIFT for World Action Models Being-H0.7: A Latent World-Action Model from Egocentric Videos

Reference 3

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Observation c4a028d6-8d64-46da-afef-7b824f104e11 · outbound

This paper cites EvoScene-VLA: Evolving Scene Beliefs Inside the Action Decoder for Chunked Robot Control.

Keep the Future, Drop the Rollout: RIFT for World Action Models EvoScene-VLA: Evolving Scene Beliefs Inside the Action Decoder for Chunked Robot Control

Reference 4

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Observation 5c67d6e1-08f1-452e-ac4c-70c30e1dea4c · outbound

This paper cites 2025 , url =.

Keep the Future, Drop the Rollout: RIFT for World Action Models 2025 , url =

Reference 5

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Observation e50c1a90-c44d-4833-b479-32a258f5ae24 · outbound

This paper cites World Action Models are Zero-shot Policies.

Keep the Future, Drop the Rollout: RIFT for World Action Models World Action Models are Zero-shot Policies

Reference 6

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Observation 3ec3fbb7-373e-46f1-8a6a-429062555996 · outbound

This paper cites Causal World Modeling for Robot Control.

Keep the Future, Drop the Rollout: RIFT for World Action Models Causal World Modeling for Robot Control

Reference 7

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Observation 1055bb8c-7941-4152-9b4c-d00ee7adfcd1 · outbound

This paper cites Motus: A Unified Latent Action World Model.

Keep the Future, Drop the Rollout: RIFT for World Action Models Motus: A Unified Latent Action World Model

Reference 8

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Observation f53c3cc5-547d-477c-bc28-11f30b43136e · outbound

This paper cites Robotics: Science and Systems (RSS) , year =.

Keep the Future, Drop the Rollout: RIFT for World Action Models Robotics: Science and Systems (RSS) , year =

Reference 9

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Observation 8f27ba7e-1a77-4c3e-b885-8db5973d7775 · outbound

This paper cites Conference on Robot Learning (CoRL) , year =.

Keep the Future, Drop the Rollout: RIFT for World Action Models Conference on Robot Learning (CoRL) , year =

Reference 10

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Observation cc88143c-4618-4f52-a475-8b6ef272eb21 · outbound

This paper cites RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation.

Keep the Future, Drop the Rollout: RIFT for World Action Models RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 11

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Observation 43b134ea-72ab-4eb8-9673-2c59edca1f7d · outbound

This paper cites DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control.

Keep the Future, Drop the Rollout: RIFT for World Action Models DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control

Reference 12

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Observation 332e09ab-b501-4793-bb5a-73599f632663 · outbound

This paper cites Conference on Robot Learning (CoRL) , year =.

Keep the Future, Drop the Rollout: RIFT for World Action Models Conference on Robot Learning (CoRL) , year =

Reference 13

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Observation 3b34d040-dc80-4ce5-8062-c19a5f54d6c1 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

Keep the Future, Drop the Rollout: RIFT for World Action Models $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 14

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Observation 9e154194-218f-4c1f-96c7-c37186b8b327 · outbound

This paper cites $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization.

Keep the Future, Drop the Rollout: RIFT for World Action Models $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 15

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Observation 5f1bc7f6-2fdb-4962-8123-d4d54a3bbdb9 · outbound

This paper cites GR00T N1: An Open Foundation Model for Generalist Humanoid Robots.

Keep the Future, Drop the Rollout: RIFT for World Action Models GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 16

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Observation 66d06141-8fc0-4bcf-bc6f-07a29f120cc2 · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

Keep the Future, Drop the Rollout: RIFT for World Action Models SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 17

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Observation 06529146-c10a-4c3d-92a8-842e3b0e3789 · outbound

This paper cites Gemini Robotics: Bringing AI into the Physical World.

Keep the Future, Drop the Rollout: RIFT for World Action Models Gemini Robotics: Bringing AI into the Physical World

Reference 18

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Observation 95a5e933-4960-4b9d-8474-942ab829969e · outbound

This paper cites Nature , volume =.

Keep the Future, Drop the Rollout: RIFT for World Action Models Nature , volume =

Reference 19

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Observation d70cf8c3-3551-423e-9143-cda7e1a74e59 · outbound

This paper cites Mastering Diverse Domains through World Models.

Keep the Future, Drop the Rollout: RIFT for World Action Models Mastering Diverse Domains through World Models

Reference 20

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Observation e746be9e-9c56-41a3-aa5f-b5920c6056c0 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Keep the Future, Drop the Rollout: RIFT for World Action Models International Conference on Learning Representations (ICLR) , year =

Reference 21

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Observation 4a633fb6-da92-4360-97fe-6b1e7745bba9 · outbound

This paper cites Tenenbaum and Dale Schuurmans and Pieter Abbeel , title =.

Keep the Future, Drop the Rollout: RIFT for World Action Models Tenenbaum and Dale Schuurmans and Pieter Abbeel , title =

Reference 22

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Observation 304508ac-4b8e-4e81-b3aa-304196bd7225 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Keep the Future, Drop the Rollout: RIFT for World Action Models International Conference on Learning Representations (ICLR) , year =

Reference 23

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Observation 528addae-85db-448b-910b-6db93e31957b · outbound

This paper cites Video Generators are Robot Policies.

Keep the Future, Drop the Rollout: RIFT for World Action Models Video Generators are Robot Policies

Reference 24

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Observation c49e247e-11a4-4dd1-87b9-f060ad8a8560 · outbound

This paper cites Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation.

Keep the Future, Drop the Rollout: RIFT for World Action Models Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation

Reference 25

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Observation ade484df-4cab-493c-9ba7-92a8ac3b228c · outbound

This paper cites RoboDreamer: Learning Compositional World Models for Robot Imagination.

Keep the Future, Drop the Rollout: RIFT for World Action Models RoboDreamer: Learning Compositional World Models for Robot Imagination

Reference 26

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Observation 09c5c7be-b177-4fea-9d33-730f2a70555a · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Keep the Future, Drop the Rollout: RIFT for World Action Models International Conference on Learning Representations (ICLR) , year =

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:20.034564Z

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Observation 8da1c62a-5591-4fc5-8723-0146c5cd72f0 · outbound

This paper cites GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.

Keep the Future, Drop the Rollout: RIFT for World Action Models GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

Reference 28

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Observation 89be0614-c6b3-4664-8149-6ea0ab25dddc · outbound

This paper cites International Conference on Machine Learning (ICML) , year =.

Keep the Future, Drop the Rollout: RIFT for World Action Models International Conference on Machine Learning (ICML) , year =

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:20.021994Z

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Observation f711dcb3-4b2a-4527-89f1-c80b9755cf98 · outbound

This paper cites Unified Video Action Model.

Keep the Future, Drop the Rollout: RIFT for World Action Models Unified Video Action Model

Reference 30

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Observation fe951b2f-d10e-4a8c-825c-4d01da8749cc · outbound

This paper cites Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets.

Keep the Future, Drop the Rollout: RIFT for World Action Models Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

Reference 31

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Observation c9ec45cf-ca20-46d6-8760-16eaf99b132e · outbound

This paper cites Vidar: Embodied Video Diffusion Model for Generalist Manipulation.

Keep the Future, Drop the Rollout: RIFT for World Action Models Vidar: Embodied Video Diffusion Model for Generalist Manipulation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T00:42:19.320395Z

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Observation ed122ac6-6ed5-482c-a3ac-3487168847de · outbound

This paper cites mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs.

Keep the Future, Drop the Rollout: RIFT for World Action Models mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs

Reference 33

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Observation 1ec08bbd-b908-4a7d-ba17-80f545df5fc8 · outbound

This paper cites Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model.

Keep the Future, Drop the Rollout: RIFT for World Action Models Dual-Stream Diffusion for World-Model Augmented Vision-Language-Action Model

Reference 34

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Observation 99ba7407-6d89-42b2-91ef-78bbee146a3c · outbound

This paper cites DreamGen: Unlocking Generalization in Robot Learning through Video World Models.

Keep the Future, Drop the Rollout: RIFT for World Action Models DreamGen: Unlocking Generalization in Robot Learning through Video World Models

Reference 35

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Observation 95f43ca3-3c77-4dcf-9fae-ec5820f55019 · outbound

This paper cites CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models.

Keep the Future, Drop the Rollout: RIFT for World Action Models CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models

Reference 36

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Observation 539b5543-a966-474f-b275-28ec18b1684c · outbound

This paper cites RynnVLA-002: A Unified Vision-Language-Action and World Model.

Keep the Future, Drop the Rollout: RIFT for World Action Models RynnVLA-002: A Unified Vision-Language-Action and World Model

Reference 37

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Observation d6039726-20f3-4e17-b06f-9cf94ee1f374 · outbound

This paper cites FLARE: Robot Learning with Implicit World Modeling.

Keep the Future, Drop the Rollout: RIFT for World Action Models FLARE: Robot Learning with Implicit World Modeling

Reference 38

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Observation f5d0d0bd-34b7-404f-8914-3652cc02b3c3 · outbound

This paper cites CoRR , volume =.

Keep the Future, Drop the Rollout: RIFT for World Action Models CoRR , volume =

Reference 39

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Observation 930d1b07-d1e3-4a65-8ac7-74e6baa41201 · outbound

This paper cites Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning.

Keep the Future, Drop the Rollout: RIFT for World Action Models Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 40

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Observation 9c50d082-f894-4e1f-9547-b33bb2935daf · outbound

This paper cites Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation.

Keep the Future, Drop the Rollout: RIFT for World Action Models Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation

Reference 41

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Observation d13e2514-6bc5-43b6-9537-ee2d16a5b72e · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Keep the Future, Drop the Rollout: RIFT for World Action Models Advances in Neural Information Processing Systems , volume =

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:19.993656Z

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Observation 28488dea-d81a-49e6-8600-fb949a08405b · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

Keep the Future, Drop the Rollout: RIFT for World Action Models Understanding intermediate layers using linear classifier probes

Reference 43

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Observation c90096f6-10e2-4886-be10-739fa064049a · outbound

This paper cites Computational Linguistics , volume =.

Keep the Future, Drop the Rollout: RIFT for World Action Models Computational Linguistics , volume =

Reference 44

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Observation c7d47238-99a8-47d6-a4d1-ab22e7d558ac · outbound

This paper cites Wallace , title =.

Keep the Future, Drop the Rollout: RIFT for World Action Models Wallace , title =

Reference 45

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Observation 03e1b78d-536b-4722-9993-6ce85513ed5a · outbound

This paper cites Smith , title =.

Keep the Future, Drop the Rollout: RIFT for World Action Models Smith , title =

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:19.957162Z

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Observation 1dbc9c08-87ca-4f81-ab8c-385cafd08306 · outbound

This paper cites Neural Networks , volume =.

Keep the Future, Drop the Rollout: RIFT for World Action Models Neural Networks , volume =

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:19.945629Z

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Observation a8e62b63-ceb5-4fa3-aed1-89cd1576112b · outbound

This paper cites Learning by Cheating , booktitle =.

Keep the Future, Drop the Rollout: RIFT for World Action Models Learning by Cheating , booktitle =

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:19.931718Z

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Observation 348f86a5-9640-4724-9d4b-4f92f47d292e · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

Keep the Future, Drop the Rollout: RIFT for World Action Models RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 49

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Observation d070c9ef-8200-4afb-a8f4-c79bb7166d07 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

Keep the Future, Drop the Rollout: RIFT for World Action Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:19.918001Z

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Observation 62ea1973-3cc8-45d5-bcba-623c20490e2e · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =.

Keep the Future, Drop the Rollout: RIFT for World Action Models Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages =

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:19.903399Z

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Observation ff5ed54f-fc70-4f64-a434-e054be487eb8 · outbound

This paper cites European Conference on Computer Vision (ECCV) , year =.

Keep the Future, Drop the Rollout: RIFT for World Action Models European Conference on Computer Vision (ECCV) , year =

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:19.889239Z

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Observation 192772c6-d9c3-4ca3-930f-4e2df6b1846c · outbound

This paper cites Vision Transformers Need Registers , booktitle =.

Keep the Future, Drop the Rollout: RIFT for World Action Models Vision Transformers Need Registers , booktitle =

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:42:19.875574Z

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Observation 50c79fe2-f995-4b87-9008-fc80ade2f05f · outbound

This paper cites an unresolved cited work.

Keep the Future, Drop the Rollout: RIFT for World Action Models Unresolved cited work

Reference 54

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Observation 83c354a8-82a5-4ea8-8506-22edccc5bf70 · outbound

This paper cites The Geometry of Flow-Matching Uncertainty: A Cost-free Uncertainty Proxy and Its Application in Flow-based VLA Failure Detection.

Keep the Future, Drop the Rollout: RIFT for World Action Models The Geometry of Flow-Matching Uncertainty: A Cost-free Uncertainty Proxy and Its Application in Flow-based VLA Failure Detection

Reference 55

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