SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space | Paper Citation Record

Observation 0317410d-42cb-478f-8a27-fb9503109e7a · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:11.922999Z

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Observation 8a9b7339-7976-49c8-9033-5cd791e246db · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation

Reference 2

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Observation b20a7a1b-05a8-494c-bee1-1c13be3276c0 · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Motus: A Unified Latent Action World Model

Reference 3

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Observation e346c0e7-e453-443f-8a68-a59ffa9cfbbc · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 4

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Observation 32aeee23-bc3a-430a-96e4-97202d8e7b2c · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:12.205854Z

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Observation 770ea3f0-9706-4a16-a53e-07d4ef8bd3a2 · outbound

This paper cites π0.5: a vision-language-action model with open-world gener- alization.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space π0.5: a vision-language-action model with open-world gener- alization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:20.521410Z

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Observation 60179da7-3ced-46f3-b6c0-cea49033d657 · outbound

This paper cites Genie: Generative Interactive Environments.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Genie: Generative Interactive Environments

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:12.365595Z

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Observation a3479770-dd6f-41de-ba49-45b4881028d2 · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:12.406629Z

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Observation 62e657c0-812d-4707-87ce-483603497ca7 · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space RynnVLA-002: A Unified Vision-Language-Action and World Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:12.473410Z

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Observation c3ab7f98-ff77-42ee-8255-62fffe6c5f4e · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space WorldVLA: Towards Autoregressive Action World Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:12.529831Z

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Observation 35ac4c0a-0f17-4d4d-938b-a79072bccd5b · outbound

This paper cites Lawam: Latent world action models for efficient dynamics-aware robot policies.arXiv preprint arXiv:2606.15768, 2026.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Lawam: Latent world action models for efficient dynamics-aware robot policies.arXiv preprint arXiv:2606.15768, 2026

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:12.582747Z

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Observation 4d8c187d-26eb-4603-ac7e-16c1dcf6fafd · outbound

This paper cites villa-x: Enhancing latent action modeling in vision- language-action models.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space villa-x: Enhancing latent action modeling in vision- language-action models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:20.160886Z

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Observation cd29f8ac-d32e-4690-be52-53c6b100a334 · outbound

This paper cites Moto: Latent motion token as the bridging language for learning robot manipulation from videos.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Moto: Latent motion token as the bridging language for learning robot manipulation from videos

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:19.795804Z

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Observation 27bdb77f-5671-436e-ab04-abf083406e04 · outbound

This paper cites DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:12.785448Z

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Observation 309a7918-4e0c-4b88-aabd-65b019c5fcef · outbound

This paper cites Learning universal policies via text-guided video genera- tion.Advances in neural information processing systems, 36:9156–9172, 2023.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Learning universal policies via text-guided video genera- tion.Advances in neural information processing systems, 36:9156–9172, 2023

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:19.602792Z

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Observation eaa2d45f-c89f-4cc7-9baf-41a4c27f3f4c · outbound

This paper cites Video language planning.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Video language planning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:19.406940Z

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Observation bf43d7de-3577-4bc6-992b-a971b4118557 · outbound

This paper cites an unresolved cited work.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T00:18:19.210129Z

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Observation b04487f7-95d4-4e27-b6cd-194f979ded76 · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.Advances in neural information processing systems, 33:21271–21284, 2020.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Bootstrap your own latent-a new approach to self-supervised learning.Advances in neural information processing systems, 33:21271–21284, 2020

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:19.083537Z

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Observation 14c1b39b-aa84-4f9c-ba7c-99975f725adb · outbound

This paper cites Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Unified 4D World Action Modeling from Video Priors with Asynchronous Denoising

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:13.120481Z

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Observation 8b4005ce-d6f4-4325-b9e1-2e9438b55d63 · outbound

This paper cites Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:13.214941Z

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Observation 3bb9608a-0d52-4750-b3e0-7d617efeb94a · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space OpenVLA: An Open-Source Vision-Language-Action Model

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:13.275541Z

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Observation 06a3fa00-a7ed-4af2-8dcb-ec54249f5737 · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:13.339507Z

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Observation 82c1000b-3fd8-4613-bd32-d44bd67cb89c · outbound

This paper cites Tenenbaum.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Tenenbaum

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:18.910758Z

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Observation c5e5973a-8668-454d-ab20-a6ee1dd11a7e · outbound

This paper cites Spatial forcing: Implicit spatial representation align- ment for vision-language-action model.arXiv preprint arXiv:2510.12276, 2025.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Spatial forcing: Implicit spatial representation align- ment for vision-language-action model.arXiv preprint arXiv:2510.12276, 2025

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:13.488123Z

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Observation bb81ce79-96c3-4261-b6d0-4ca7adda09f5 · outbound

This paper cites Causal World Modeling for Robot Control.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Causal World Modeling for Robot Control

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:13.578376Z

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Observation f10577b4-194c-4290-b863-338f8053bf9c · outbound

This paper cites an unresolved cited work.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:13.641030Z

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Observation b6733545-7042-418a-bb79-b8c7244872b2 · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Being-H0.7: A Latent World-Action Model from Egocentric Videos

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:13.675440Z

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Observation d6c24c6f-b87b-42ba-95e3-fccf12e8f25c · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:13.726904Z

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Observation b116ac7b-2cd6-4856-bd6a-5b136b04df28 · outbound

This paper cites Leworldmodel: Stable end- to-endjoint-embeddingpredictivearchitecturefrompixels,.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Leworldmodel: Stable end- to-endjoint-embeddingpredictivearchitecturefrompixels,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:18.764231Z

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Observation 7430ef17-98d4-4c36-bbc4-aabb888620b8 · outbound

This paper cites Omnivggt: Omni-modality driven visual geometry grounded transformer.arXiv preprint arXiv:2511.10560, 2025.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Omnivggt: Omni-modality driven visual geometry grounded transformer.arXiv preprint arXiv:2511.10560, 2025

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:13.947072Z

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Observation c90e26fa-ad1e-48cd-9929-5efd554f12a3 · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:14.013381Z

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Observation d0336337-8dea-426e-a992-2d0ff370ae77 · outbound

This paper cites Seedance 2.0: Advancing Video Generation for World Complexity.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Seedance 2.0: Advancing Video Generation for World Complexity

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:14.098008Z

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Observation 97e84a7d-e83b-42ac-b59c-ce546a8d3a40 · outbound

This paper cites World guidance: World modeling in condition space for action generation.arXiv preprint arXiv:2602.22010, 2026.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space World guidance: World modeling in condition space for action generation.arXiv preprint arXiv:2602.22010, 2026

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:14.205954Z

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Observation 305e1967-7535-42bd-8cf0-d9615aa9cddd · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Vla-jepa: Enhancing vision-language- action model with latent world model.arXiv preprint arXiv:2602.10098, 2026

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:14.314316Z

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Observation e8350130-4110-4834-af9f-a652a952c757 · outbound

This paper cites Qwen3.5-Omni Technical Report.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Qwen3.5-Omni Technical Report

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:14.464903Z

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Observation 479885ca-3612-4c1f-8c6b-46ba4e2320be · outbound

This paper cites STARRY: Spatial-Temporal Action-Centric World Modeling for Robotic Manipulation.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space STARRY: Spatial-Temporal Action-Centric World Modeling for Robotic Manipulation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:14.518769Z

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Observation 6f815f6a-1a0b-4e8c-946c-3fc2f47c053f · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Wan: Open and Advanced Large-Scale Video Generative Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:14.612352Z

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Observation 04f4b15b-9c69-4d55-9469-09c46545888a · outbound

This paper cites Vggt: Visual geometry grounded transformer.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Vggt: Visual geometry grounded transformer

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:14.711242Z

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Observation 2ce7b076-3034-470a-b448-e488ce133346 · outbound

This paper cites MVISTA-4D: View-Consistent 4D World Model with Test-Time Action Inference for Robotic Manipulation.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space MVISTA-4D: View-Consistent 4D World Model with Test-Time Action Inference for Robotic Manipulation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:14.780297Z

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Observation 46c9d355-1091-430e-9c6e-e8ddce9be6f7 · outbound

This paper cites Flow as the Cross-Domain Manipulation Interface.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Flow as the Cross-Domain Manipulation Interface

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:14.913002Z

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Observation 78950027-0a92-4100-907c-a74ec7fd4774 · outbound

This paper cites Roboen- vision: A long-horizon video generation model for multi- task robot manipulation.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Roboen- vision: A long-horizon video generation model for multi- task robot manipulation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:18.545361Z

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Observation 1a79d431-cc2f-416f-909d-ffb2ae0de32e · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Mantis: A versatile vision-language-action model with disentangled visual foresight

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:18.372655Z

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Observation eb180c5b-5b39-439d-ac21-8c6a7308cf14 · outbound

This paper cites Latent action pretraining from videos.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Latent action pretraining from videos

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:18.131286Z

Source-reported events for the cited work

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Observation f0797ca7-fa44-4d7e-b7fa-ba53ccc8a813 · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space World Action Models are Zero-shot Policies

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:15.370183Z

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Observation c96f57fb-1f51-41d6-9e5c-5ea1de53eef5 · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:15.524592Z

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Observation 7bc665c6-ca93-4f07-b858-18f09dc942b0 · outbound

This paper cites Dreamvla: a vision- language-actionmodeldreamedwithcomprehensiveworld knowledge.Advances in Neural Information Processing Systems, 38:24195–24228, 2026.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Dreamvla: a vision- language-actionmodeldreamedwithcomprehensiveworld knowledge.Advances in Neural Information Processing Systems, 38:24195–24228, 2026

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:17.917078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c3b1fb2-075a-445f-b764-a9c3aeb5211f · outbound

This paper cites an unresolved cited work.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-06T00:18:17.729259Z

Source-reported events for the cited work

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Observation fa3ef197-33f4-49a5-abd7-9abf16318ec3 · outbound

This paper cites an unresolved cited work.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:15.931517Z

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Observation 61b81108-dd7f-4542-b6c5-e2aa570dd5ed · outbound

This paper cites TesserAct: Learning 4D Embodied World Models.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space TesserAct: Learning 4D Embodied World Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:16.059169Z

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Observation 8510e901-6c5c-4e5c-8802-ebcf335e195d · outbound

This paper cites Flare: Robot learning with implicit world modeling, 2025.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Flare: Robot learning with implicit world modeling, 2025

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:18:17.523750Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 525177de-5fc4-4858-9b84-13ea431f1178 · outbound

This paper cites 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space 3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:16.306299Z

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Observation a33ace5d-276a-4649-b541-17f705cfbd21 · outbound

This paper cites GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space GEM-4D: Geometry-Enhanced Video World Models for Robot Manipulation

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:16.401870Z

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Observation efb8623f-9811-436b-b2e0-16d9fecdcd26 · outbound

This paper cites IRASim: A Fine-Grained World Model for Robot Manipulation.

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:16.446645Z

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Observation f5adca3b-1fc7-414e-a0cb-46659dc2e254 · outbound

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

SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

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