Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models | Paper Citation Record

Observation e1a2adb3-85e7-4a24-8577-ac4ec424549b · outbound

This paper cites Geoaware-vla: Implicit geometry aware vision-language-action model.arXiv:2509.14117, 2025.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Geoaware-vla: Implicit geometry aware vision-language-action model.arXiv:2509.14117, 2025

Reference 1

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Observation 5ba9bd6c-d052-4246-a97b-d79274b86079 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.901392Z

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Observation 66f6b088-384d-4c16-83be-4ed9c9b41970 · outbound

This paper cites Motus: A unified latent ac- tion world model.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Motus: A unified latent ac- tion world model

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.562214Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 80bea50a-6e42-4362-b8d2-0a5c815910af · outbound

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

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.909235Z

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Observation 28132efa-e73d-464f-8f80-cdea63e919a1 · outbound

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

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.913390Z

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Observation 3b824110-1f95-4bbb-af5e-4360bb912c3d · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models RT-1: Robotics Transformer for Real-World Control at Scale

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.917309Z

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Observation 864d1b1b-3e76-4b38-9539-7832e4c116ea · outbound

This paper cites Ge- nie: Generative interactive environments.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Ge- nie: Generative interactive environments

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.552032Z

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Observation 275f68f0-fce0-44c1-a651-cbb04eccd6c9 · outbound

This paper cites UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.925241Z

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Observation 6f141fd2-9b05-40d7-9876-ac9d22c6bd03 · outbound

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

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models RynnVLA-002: A Unified Vision-Language-Action and World Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.928759Z

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Observation b4a0e3a3-ced7-48f8-9f9e-9468a573d3a1 · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models WorldVLA: Towards Autoregressive Action World Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.932383Z

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Observation f06b0d3e-8555-4713-8af8-bc72f20a3389 · outbound

This paper cites Lawam: Latent world action models for efficient dynamics-aware robot policies.arXiv:2606.15768,.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Lawam: Latent world action models for efficient dynamics-aware robot policies.arXiv:2606.15768,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.935890Z

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Observation f4b7cdc2-9c35-4b93-a337-07e7b2ffe1e7 · outbound

This paper cites Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.939376Z

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Observation 25d6fcc7-abe3-4b5b-a379-a7af964ee355 · outbound

This paper cites Lapo: Latent-variable advantage- weighted policy optimization for offline reinforcement learn- ing.NeurIPS, 35:36902–36913, 2022.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Lapo: Latent-variable advantage- weighted policy optimization for offline reinforcement learn- ing.NeurIPS, 35:36902–36913, 2022

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.541770Z

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Observation 070cf01d-525e-4783-84a6-879f70ee9667 · outbound

This paper cites villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.946042Z

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Observation 87f52928-e5c9-4a94-82d9-73807aef1dd4 · outbound

This paper cites Moto: Latent mo- tion token as the bridging language for learning robot ma- nipulation from videos.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Moto: Latent mo- tion token as the bridging language for learning robot ma- nipulation from videos

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.532068Z

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Observation ab5949a4-a94d-45ae-b240-7ad55ab83bd6 · outbound

This paper cites XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion Representations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.953138Z

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Observation 2e50e888-457c-475b-b922-03077f40a1f4 · outbound

This paper cites LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models LIBERO-Plus: In-depth Robustness Analysis of Vision-Language-Action Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.956572Z

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Observation abd75aa6-3669-4277-a98d-701cb97a4028 · outbound

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

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Vidar: Embodied Video Diffusion Model for Generalist Manipulation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.960459Z

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Observation 567f778a-3d9a-4037-80b7-296d594a1e8d · outbound

This paper cites DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.963929Z

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Observation 8aecb685-517e-4846-a7ae-77ec1f2c1e3e · outbound

This paper cites Mastering Diverse Domains through World Models.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Mastering Diverse Domains through World Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.967383Z

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Observation 29923d01-1697-4628-afb5-0c0fde1dda94 · outbound

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

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.971270Z

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Observation e2a9bcc6-33d2-4d38-87dd-60c70f06a918 · outbound

This paper cites Perceiver: General perception with iterative attention.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Perceiver: General perception with iterative attention

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.522015Z

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Observation f3e3508d-486b-429f-955c-398e63c46d07 · outbound

This paper cites Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.977865Z

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Observation f7fe3aeb-9bd5-49cf-bf3e-68730f4e59f9 · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models OpenVLA: An Open-Source Vision-Language-Action Model

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.981123Z

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Observation 18179503-3e00-4ab0-98f4-d1ccb5af5648 · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.984635Z

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Observation 4f82494b-3e37-4508-94ed-35af9989afcc · outbound

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

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.988863Z

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Observation 80cce155-d306-4bf3-934d-36cb67d1938d · outbound

This paper cites Spatial forc- ing: Implicit spatial representation alignment for vision- language-action model.arXiv:2510.12276, 2025.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Spatial forc- ing: Implicit spatial representation alignment for vision- language-action model.arXiv:2510.12276, 2025

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.992755Z

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Observation 62ba679e-c424-49e3-9b3e-acd3f6e6107a · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.511317Z

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Observation b97549ca-a40e-4873-a583-4090a0025914 · outbound

This paper cites Causal World Modeling for Robot Control.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Causal World Modeling for Robot Control

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:31.999464Z

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Observation 8a02c94f-d16a-43e1-967d-9607319b3665 · outbound

This paper cites WALL-WM: Carving World Action Modeling at the Event Joints.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models WALL-WM: Carving World Action Modeling at the Event Joints

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.003493Z

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Observation 2e795383-072c-4f49-8595-bfb971babe98 · outbound

This paper cites Cogvla: Cognition-aligned vision-language-action models via instruction-driven routing & sparsification.Advances in neural information processing systems, 38:137646–137675,.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Cogvla: Cognition-aligned vision-language-action models via instruction-driven routing & sparsification.Advances in neural information processing systems, 38:137646–137675,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.499667Z

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Observation d1e767cd-cb6a-4371-aa62-708962903678 · outbound

This paper cites Langforce: Bayesian decomposition of vision language ac- tion models via latent action queries.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Langforce: Bayesian decomposition of vision language ac- tion models via latent action queries

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.488248Z

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Observation aa87a429-ce38-474c-9eb6-1d02b5f562f1 · outbound

This paper cites Physbrain: Human egocentric data as a bridge from vision language models to physical intelligence.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Physbrain: Human egocentric data as a bridge from vision language models to physical intelligence

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.014103Z

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Observation f549b9ae-51d1-4207-bc8d-6a5b41473e45 · outbound

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learning.NeurIPS, 36: 44776–44791, 2023.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Libero: Benchmarking knowledge transfer for lifelong robot learning.NeurIPS, 36: 44776–44791, 2023

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.477207Z

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Observation 7fa14a53-d35f-4e4c-8b0e-c0a6d6af5c3c · outbound

This paper cites LARA: Latent Action Representation Alignment for Vision-Language-Action Models.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models LARA: Latent Action Representation Alignment for Vision-Language-Action Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.021606Z

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Observation f7e8e1c6-2690-423c-8e81-fd43a6947219 · outbound

This paper cites Rdt-1b: a diffusion foundation model for bimanual manipulation.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Rdt-1b: a diffusion foundation model for bimanual manipulation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.465532Z

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Observation f1961117-0ec9-410e-922d-b27f3c8c6c03 · outbound

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

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Being-H0.7: A Latent World-Action Model from Egocentric Videos

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.029118Z

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Observation fdcf298a-8bfd-4354-a7ae-71956f7d4881 · outbound

This paper cites F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.032361Z

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Observation d1e5520a-6bd0-44fc-82ec-9e97712eb615 · outbound

This paper cites LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.036619Z

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Observation afd87940-1450-4915-b556-6af6e9734fea · outbound

This paper cites Dit4dit: Jointly modeling video dynamics and actions for generalizable robot control.arXiv:2603.10448, 2026.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Dit4dit: Jointly modeling video dynamics and actions for generalizable robot control.arXiv:2603.10448, 2026

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.040157Z

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Observation 6a44cf57-a02e-4b4f-a4c7-5b2783088af9 · outbound

This paper cites Unifying perception and action: A hybrid- modality pipeline with implicit visual chain-of-thought for robotic action generation.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Unifying perception and action: A hybrid- modality pipeline with implicit visual chain-of-thought for robotic action generation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.454478Z

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Observation eaa253b6-7429-435e-8f23-8c6d8baba3ad · outbound

This paper cites LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.048422Z

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Observation 88bea4cc-136a-46aa-8bde-d1c4d74c1f57 · outbound

This paper cites V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.051924Z

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Observation af265f6c-77c1-4447-9688-5dea1195da10 · outbound

This paper cites Gr00t n1: An open foundation model for gener- alist humanoid robots, 2025.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Gr00t n1: An open foundation model for gener- alist humanoid robots, 2025

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.442711Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 69e5a1de-ed43-4095-818c-74758b2b782d · outbound

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

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.058660Z

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Observation b60c265a-046a-4fb4-aff1-a4ebf12bca0a · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.062599Z

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Observation 3854a794-c2e5-4ae4-b52e-d5b9fa7f4e7c · outbound

This paper cites SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.065812Z

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Observation 93dd8a31-6968-4851-beaa-23f04c283679 · outbound

This paper cites Vipra: Video prediction for robot ac- tions.arXiv:2511.07732, 2025.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Vipra: Video prediction for robot ac- tions.arXiv:2511.07732, 2025

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.069844Z

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Observation f401b8f0-4631-491f-8c65-00bf2debfa8c · outbound

This paper cites World guidance: World modeling in condition space for action generation.arXiv:2602.22010,.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models World guidance: World modeling in condition space for action generation.arXiv:2602.22010,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.073593Z

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Observation 3baf6ce4-64bc-4fb6-b64a-e21a0bed9a2e · outbound

This paper cites Rocket: Residual-oriented multi-layer align- ment for spatially-aware vision-language-action models.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Rocket: Residual-oriented multi-layer align- ment for spatially-aware vision-language-action models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.077271Z

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Observation 00586982-305a-4da7-8fe9-75617c1df193 · outbound

This paper cites Vla-jepa: Enhancing vision-language-action model with latent world model.arXiv:2602.10098, 2026.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Vla-jepa: Enhancing vision-language-action model with latent world model.arXiv:2602.10098, 2026

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.081033Z

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Observation 8c6f30bf-9b12-4054-924b-992b7c618b1d · outbound

This paper cites Motubrain: An Advanced World Action Model for Robot Control.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Motubrain: An Advanced World Action Model for Robot Control

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.084437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c75ca175-01ab-45b6-a20e-987ce0a9efce · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.088424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02160754-a9fb-4cce-b85f-e24c61abfcb5 · outbound

This paper cites Visualizing data using t-sne.Journal of machine learning research, 9 (11), 2008.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Visualizing data using t-sne.Journal of machine learning research, 9 (11), 2008

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.092512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d6bec66-d9d9-4b97-9fbe-57b3a07771fa · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.096154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e895b101-bc65-4fc7-a6eb-1c8731f856e9 · outbound

This paper cites Learn- ing diffusion models with flexible representation guidance.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Learn- ing diffusion models with flexible representation guidance

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.424957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 48b4a773-aa14-4660-bd05-214d43f8d18a · outbound

This paper cites Scaling proprioceptive-visual learning with heterogeneous pre-trained transformers.Advances in neural information processing systems, 37:124420–124450, 2024.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Scaling proprioceptive-visual learning with heterogeneous pre-trained transformers.Advances in neural information processing systems, 37:124420–124450, 2024

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.413639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ea1eeb4-1c2a-427b-b99f-5c2328717dec · outbound

This paper cites VP-VLA: Visual Prompting as an Interface for Vision-Language-Action Models.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models VP-VLA: Visual Prompting as an Interface for Vision-Language-Action Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.106696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5deb5a2-8540-4099-8c01-2f2213ab6bdf · outbound

This paper cites From Reaction to Anticipation: Proactive Failure Recovery through Agentic Task Graph for Robotic Manipulation.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models From Reaction to Anticipation: Proactive Failure Recovery through Agentic Task Graph for Robotic Manipulation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.110126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4263df61-6c45-4f70-a310-0414bd37066e · outbound

This paper cites Thinking in space: How mul- timodal large language models see, remember, and recall spaces.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Thinking in space: How mul- timodal large language models see, remember, and recall spaces

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.402413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aedbdb16-e5e1-48fe-8e21-c13a31f7983f · outbound

This paper cites Como: Learning continuous latent motion from in- ternet videos for scalable robot learning.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Como: Learning continuous latent motion from in- ternet videos for scalable robot learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.391968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ea2360c-2de2-47b1-b1e0-895f93d06ee9 · outbound

This paper cites Mantis: A versatile vision-language-action model with disentangled visual foresight.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Mantis: A versatile vision-language-action model with disentangled visual foresight

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.381127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc1e496e-d2cd-414e-b076-fb128369f9c1 · outbound

This paper cites StarVLA-$\alpha$: Reducing Complexity in Vision-Language-Action Systems.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models StarVLA-$\alpha$: Reducing Complexity in Vision-Language-Action Systems

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.124606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c4f620-29f4-4a2f-b05c-91343f475bc9 · outbound

This paper cites Latent action pretrain- ing from videos.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Latent action pretrain- ing from videos

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.368899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 39bf5e95-fefb-42de-96ee-65331893c0b6 · outbound

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

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models World Action Models are Zero-shot Policies

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.131691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08b40f8a-2249-463a-9515-23f4f412e3ea · outbound

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

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.135524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b01a7212-78d0-4171-bb82-621339f31e3d · outbound

This paper cites Robotic Control via Embodied Chain-of-Thought Reasoning.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Robotic Control via Embodied Chain-of-Thought Reasoning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.139111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2406634-62b3-4b3c-b17b-6ec3689bbedb · outbound

This paper cites Clap: Contrastive latent action pretraining for learn- ing vision-language-action models from human videos.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Clap: Contrastive latent action pretraining for learn- ing vision-language-action models from human videos

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.143221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99cd782e-ebd4-4b5d-b117-aead3bfaeb30 · outbound

This paper cites Dreamvla: a vision-language- action model dreamed with comprehensive world knowl- edge.NeurIPS, 38:24195–24228, 2026.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Dreamvla: a vision-language- action model dreamed with comprehensive world knowl- edge.NeurIPS, 38:24195–24228, 2026

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.357682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bfea0b02-a55d-4e3c-846b-508ef041af5b · outbound

This paper cites Disentangled Robot Learning via Separate Forward and Inverse Dynamics Pretraining.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Disentangled Robot Learning via Separate Forward and Inverse Dynamics Pretraining

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.150720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bdda776-9213-4af2-be0e-deff1fb38ecc · outbound

This paper cites ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing?.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing?

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.154491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36bf5c5b-745a-4ec5-8b1e-c7af6b8932f6 · outbound

This paper cites PokeVLA: Empowering Pocket-Sized Vision-Language-Action Model with Comprehensive World Knowledge Guidance.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models PokeVLA: Empowering Pocket-Sized Vision-Language-Action Model with Comprehensive World Knowledge Guidance

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.158080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d082f207-2c9e-4f11-8006-8a14a84e2501 · outbound

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

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models RoboDreamer: Learning Compositional World Models for Robot Imagination

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.161827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dcbf5ef-d4e0-40ec-b0aa-e1535291878c · outbound

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

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T17:00:32.165777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a6b1494-60d9-4c7b-8378-ce9676f56153 · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Rt-2: Vision-language-action models transfer web knowledge to robotic control

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.347097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a6207a0c-c9a8-40ec-96a5-d613bab44224 · outbound

This paper cites imagining.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models imagining

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:00:33.335804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0fc43aa2-19cc-42b0-bc4d-677dc1d5319e · outbound

This paper cites Training Algorithm Algorithm 1 details the full training procedure of W AM- VJEPA.

Decoupling Intention from Trajectory: A Representational Deduction Framework for World Action Models Training Algorithm Algorithm 1 details the full training procedure of W AM- VJEPA

Reference 77

Resolution: malformed identifier; raw_fallback, observed 2026-08-10T17:00:33.323517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Reference resolution

Outbound references

Pith citing papers