LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation | Paper Citation Record

Observation e4f1b260-bb94-4513-beef-9c56dc3c9cc7 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:55.682090Z

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Observation 1b303c24-7824-443b-b86a-3eebd33bfcf5 · outbound

This paper cites Learning universal policies via text-guided video generation.Advances in neural information processing systems, pages 9156–9172, 2023.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Learning universal policies via text-guided video generation.Advances in neural information processing systems, pages 9156–9172, 2023

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:04.087128Z

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

Observation 41cee179-4b01-488a-8a87-c0a40630b61b · outbound

This paper cites Predictive inverse dynamics models are scalable learners for robotic manipulation.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Predictive inverse dynamics models are scalable learners for robotic manipulation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:03.857544Z

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

Observation ea629a24-5700-460a-adaa-374e725bd860 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation WALL-WM: Carving World Action Modeling at the Event Joints

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:55.957540Z

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Observation ee82dfca-f525-4ddc-8502-25823ce74f35 · outbound

This paper cites AHA-WAM:Asynchronous Horizon-Adaptive World-Action Modeling with Observation-Guided Context Routing.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation AHA-WAM:Asynchronous Horizon-Adaptive World-Action Modeling with Observation-Guided Context Routing

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:33:02.570822Z

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

Observation aafc3a52-a6d2-4bba-9431-6e76bc48dc4c · outbound

This paper cites World Action Models: The Next Frontier in Embodied AI.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation World Action Models: The Next Frontier in Embodied AI

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:56.118567Z

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Observation edd2fef7-b7a5-4217-b62b-c4a2f1b15af5 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation ImageWAM: Do World Action Models Really Need Video Generation, or Just Image Editing?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:56.216350Z

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Observation a169bc19-149c-410c-8a59-274aed69d5d5 · outbound

This paper cites ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation ${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:56.296925Z

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Observation 7828e8d5-dadd-443a-bcf1-c16b2f06e388 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:56.361605Z

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Observation 5cb9fc7f-edc6-4e18-9ae6-14988e1f9a46 · outbound

This paper cites Causal World Modeling for Robot Control.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Causal World Modeling for Robot Control

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:56.601564Z

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Observation 58130c7b-c924-44a4-aaaa-a3d1a6cf0842 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:56.641912Z

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Observation c332eef8-cecb-424d-ad69-ec11d291cf6a · outbound

This paper cites Latent action pretraining from videos.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Latent action pretraining from videos

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:03.718915Z

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 2d3fc261-e5b5-4257-927a-fd888cc54734 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation FLARE: Robot Learning with Implicit World Modeling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:56.773053Z

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Observation 30c78cf6-eba0-4709-bca0-ae8cb4e258ac · outbound

This paper cites Frappe: Infusing world modeling into generalist policies via multiple future representation alignment.arXiv preprint arXiv:2602.17259, 2026.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Frappe: Infusing world modeling into generalist policies via multiple future representation alignment.arXiv preprint arXiv:2602.17259, 2026

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:56.862393Z

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Observation 19dbeada-68d4-4e30-ac40-5994ed0d8a73 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation World guidance: World modeling in condition space for action generation.arXiv preprint arXiv:2602.22010, 2026

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:56.953805Z

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Observation dd32d228-7c78-442b-9761-087f79551139 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Being-H0.7: A Latent World-Action Model from Egocentric Videos

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:57.031246Z

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Observation f2774d46-74ba-4c3b-bc36-9a5c91329a1d · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:57.097363Z

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Observation e849d66e-e357-44f4-b078-7709ebdc1f56 · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Octo: An Open-Source Generalist Robot Policy

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:57.160817Z

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Observation cbb41822-a14b-40b6-a793-0c1deffb88b2 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:57.256335Z

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Observation 61ba7164-77a8-4297-83a4-98bc09b69429 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, (10-11):1684–1704, 2025.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of Robotics Research, (10-11):1684–1704, 2025

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:03.593359Z

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 d28aa5cc-4a46-4529-bced-157f7ae60c69 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:57.437805Z

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Observation 09db63f0-baad-4dc0-acbe-c5c1b8b84678 · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:57.513781Z

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Observation 4b3b6153-e262-46a5-86b0-71c4d29eb4a5 · outbound

This paper cites Tinyvla: Towards fast, data-efficient vision-language-action models for robotic manipulation.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Tinyvla: Towards fast, data-efficient vision-language-action models for robotic manipulation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:57.582664Z

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Observation 624b610e-cdad-46d5-9bb8-26f1b8afe55d · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:57.632178Z

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Observation 513b6d52-c676-48e5-8a41-cb28bdc4f371 · outbound

This paper cites Evo-1: Lightweight vision-language-action model with preserved semantic alignment.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Evo-1: Lightweight vision-language-action model with preserved semantic alignment

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:03.361093Z

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 204d50a4-3f8d-43d8-a073-64fcb0dd8a2a · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:57.830889Z

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Observation 80ded875-e944-405c-a18b-3ce56ff485a2 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Vidar: Embodied Video Diffusion Model for Generalist Manipulation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:57.904783Z

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Observation a8cd04f0-5c28-417b-b564-9408ac718d31 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:57.968368Z

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Observation 04db4b54-ea5b-44c0-a632-bf92cc8c6905 · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation WorldVLA: Towards Autoregressive Action World Model

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:58.017618Z

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Observation 177ff791-ad0d-4bcf-94f2-0600b6fdc66f · outbound

This paper cites Unified Video Action Model.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Unified Video Action Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:58.095607Z

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Observation 0eead08b-044d-4b10-a0f3-60123280745e · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Motus: A Unified Latent Action World Model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:58.180825Z

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Observation 9c3b8267-03a3-4f67-ba54-0a5920afb5fd · outbound

This paper cites Gigaworld-policy: An efficient action-centered world–action model.arXiv preprint arXiv:2603.17240, 2026.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Gigaworld-policy: An efficient action-centered world–action model.arXiv preprint arXiv:2603.17240, 2026

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:58.231384Z

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Observation 835e31b3-499c-4233-8dc1-2ed73532f4aa · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:58.324160Z

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Observation aaa2c375-cf4e-4af2-9f02-bbe1e023d7b9 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Lawam: Latent world action models for efficient dynamics-aware robot policies.arXiv preprint arXiv:2606.15768, 2026

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:58.389393Z

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Observation bec4487a-27f1-4d51-a5ab-8ba5ee31d14c · outbound

This paper cites Act2goal: From world model to general goal-conditioned policy.arXiv preprint arXiv:2512.23541, 2025.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Act2goal: From world model to general goal-conditioned policy.arXiv preprint arXiv:2512.23541, 2025

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:58.446936Z

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Observation 9b45a27c-882f-4f7f-9b04-880887d30029 · outbound

This paper cites Goal-vla: Image-generative vlms as object-centric world models empowering zero-shot robot manipulation.arXiv preprint arXiv:2506.23919, 2025.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Goal-vla: Image-generative vlms as object-centric world models empowering zero-shot robot manipulation.arXiv preprint arXiv:2506.23919, 2025

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:58.492229Z

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Observation 8a465ad2-d513-480b-ab07-c2d1cc5d1253 · outbound

This paper cites GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation GEVRM: Goal-Expressive Video Generation Model For Robust Visual Manipulation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:58.543303Z

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Observation b0798829-8ad7-4575-810d-b401d33e0dfd · outbound

This paper cites Rt-sketch: Goal-conditioned imitation learning from hand-drawn sketches.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Rt-sketch: Goal-conditioned imitation learning from hand-drawn sketches

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:03.217189Z

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 b178cc91-7b65-4209-8b24-7f0c0da83711 · outbound

This paper cites VIP: Vision Instructed Pre-training for Robotic Manipulation.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation VIP: Vision Instructed Pre-training for Robotic Manipulation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:58.684511Z

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Observation 68232906-8a5f-4f40-a680-60c4933fb7e9 · outbound

This paper cites Interleave-vla: Enhancing robot manipulation with interleaved image-text instructions.arXiv preprint arXiv:2505.02152, 2025.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Interleave-vla: Enhancing robot manipulation with interleaved image-text instructions.arXiv preprint arXiv:2505.02152, 2025

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:58.744857Z

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Observation e4cbc251-a062-4806-8f99-857663118034 · outbound

This paper cites Qwen3-VL Technical Report.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Qwen3-VL Technical Report

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:58.825010Z

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Observation 2c357bde-41a7-460b-a06f-c20deb37e312 · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation PaliGemma: A versatile 3B VLM for transfer

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:58.926973Z

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Observation fb1d462b-f9f6-4689-a1e5-2057056be215 · outbound

This paper cites DINOv3.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation DINOv3

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:58.991193Z

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Observation 81ceadc8-b5cd-4f8f-a0cf-72213d2b96cf · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Depth anything: Unleashing the power of large-scale unlabeled data

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:59.094177Z

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Observation 9a5aaf77-867a-45b1-8976-9e018a91910d · outbound

This paper cites Feature pyramid networks for object detection.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Feature pyramid networks for object detection

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:59.186271Z

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Observation 7ae84642-e6d8-421c-bdeb-4647fbafa78d · outbound

This paper cites Vision Transformer Adapter for Dense Predictions.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Vision Transformer Adapter for Dense Predictions

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:59.260963Z

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Observation 49b76290-f58b-4bae-ab1e-5552be1da6e1 · outbound

This paper cites Decoupled weight decay regularization.International Conference on Learning Representations, 2019.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Decoupled weight decay regularization.International Conference on Learning Representations, 2019

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:03.018624Z

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 c94f956e-6745-4490-b7ff-733fb91805bc · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:59.467106Z

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Observation 38699943-3d9c-4af7-97d5-5d159d2fa8b5 · outbound

This paper cites Libero: Benchmarking knowledge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, pages 44776–44791, 2023.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Libero: Benchmarking knowledge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, pages 44776–44791, 2023

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:33:02.855822Z

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

Observation 1643af9e-823d-4542-94e4-9d526f29597f · outbound

This paper cites X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:59.617097Z

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Observation 4d59531d-a8d7-4832-b961-fefe7b57806d · outbound

This paper cites ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:59.697041Z

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Observation 6a020134-0fd5-48b6-b43c-21491cf66e40 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:59.856976Z

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Observation 3a244af1-e451-4774-8a86-73414bee6ba5 · outbound

This paper cites StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation StarVLA: A Lego-like Codebase for Vision-Language-Action Model Developing

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T14:32:59.965947Z

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Observation 904b5a79-ed15-4ccd-9790-1ac344901ee1 · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T14:33:00.058353Z

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Unavailable: canonical work link unavailable.

Observation a7e9ce28-e83a-4c59-be4d-f51c618a6ffa · outbound

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

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T14:33:00.157562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e496b5fe-93fe-4f35-a4f2-7925173dba14 · outbound

This paper cites Jepa-vla: Video predictive embedding is needed for vla models.arXiv preprint arXiv:2602.11832, 2026.

LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation Jepa-vla: Video predictive embedding is needed for vla models.arXiv preprint arXiv:2602.11832, 2026

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T14:33:00.314367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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