Paper Citation Record · LEDGER

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression

As of 9 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 9 inbound Pith citation observations for arXiv:2502.04296.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.04296 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:55:57.933399Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:56:07.377797Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T11:26:53.806020Z

Reference resolution

60 of 60 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 662a74a1-a8f6-4abe-8af9-c33e91d3277e · outbound

This paper cites 1X World Model Challenge, June 2024.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression 1X World Model Challenge, June 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.899644Z

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Observation 148a21b9-8cff-490d-b761-96787aba93f1 · outbound

This paper cites Diffusion for World Modeling: Visual Details Matter in Atari.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Diffusion for World Modeling: Visual Details Matter in Atari

Reference 2

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Observation 0d86599c-813a-4130-b3c5-16a61b019aa0 · outbound

This paper cites Neuro-dynamic programming: an overview.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Neuro-dynamic programming: an overview

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.884955Z

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Observation 8174f2cd-c508-4680-9f6d-c4549fd6bb40 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 4

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Observation 420e5ea1-fbf4-469c-b729-ca554a287452 · outbound

This paper cites Video generation models as world simulators.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Video generation models as world simulators

Reference 5

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Observation be5b90d5-2b37-4405-a8cf-e1477749d8ed · outbound

This paper cites Genie: Generative interactive environments.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Genie: Generative interactive environments

Reference 6

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Observation 8023e573-4cdc-4409-b45d-69a009470db6 · outbound

This paper cites Se3-nets: Learning rigid body motion using deep neural networks.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Se3-nets: Learning rigid body motion using deep neural networks

Reference 7

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Observation 8ffb5d91-ee1d-41d0-b062-728ee217cd20 · outbound

This paper cites Maskgit: Masked generative image transformer.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Maskgit: Masked generative image transformer

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.823575Z

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Observation c7942407-19d0-4233-9ef1-828951e89c34 · outbound

This paper cites Decision transformer: Reinforcement learn- ing via sequence modeling.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Decision transformer: Reinforcement learn- ing via sequence modeling

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.808172Z

Source-reported events for the cited work

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Observation ddc1bdf7-0c2c-4b5f-8edf-e08b2fc7b07d · outbound

This paper cites GenAug: Retargeting behaviors to unseen situations via Generative Augmentation.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression GenAug: Retargeting behaviors to unseen situations via Generative Augmentation

Reference 10

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Observation 071f766c-e757-4a11-88a1-3e9f7e3d4219 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffu- sion.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Diffusion policy: Visuomotor policy learning via action diffu- sion

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.790802Z

Source-reported events for the cited work

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Observation 4e1d0f67-4a10-4486-ae50-03b8838be978 · outbound

This paper cites The epic-kitchens dataset: Collection, challenges and base- lines.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression The epic-kitchens dataset: Collection, challenges and base- lines

Reference 12

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Observation 2218911c-af71-4994-8a33-9ef14071319e · outbound

This paper cites Rescal- ing egocentric vision: Collection, pipeline and challenges for epic-kitchens-100.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Rescal- ing egocentric vision: Collection, pipeline and challenges for epic-kitchens-100

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.760008Z

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Observation e8858a0f-1d6e-4b53-80be-d98b1a78a5b0 · outbound

This paper cites Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation

Reference 14

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Observation fe0454d2-332e-4621-81e6-df327f61e713 · outbound

This paper cites Video Language Planning.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Video Language Planning

Reference 15

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Observation 51bca55b-eeb0-454c-8157-aab1f6389bec · outbound

This paper cites Deep visual foresight for planning robot motion.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Deep visual foresight for planning robot motion

Reference 16

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Source-reported events for the cited work

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Observation 1179ad61-e956-41c1-b33b-235cbb9d6d00 · outbound

This paper cites Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives

Reference 17

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Observation 678df3dc-94b8-40e4-b32d-630917da09f0 · outbound

This paper cites World Models.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression World Models

Reference 18

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Source-reported events for the cited work

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Observation 9c789e95-640a-4e36-a781-7e95ca907896 · outbound

This paper cites TD-MPC2: Scalable, Robust World Models for Continuous Control.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 19

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Observation 91a24d93-85a3-47ad-9ecf-f1d0eb17b986 · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 20

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Observation efb5d37b-3a51-4389-b0b1-4caa209ef18c · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 21

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Observation 1c30645c-e9b9-4922-9dec-013c8b9fe682 · outbound

This paper cites Video diffusion models.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Video diffusion models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.702608Z

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 63305648-8692-47cc-a99d-d75b9aa60361 · outbound

This paper cites Image quality metrics: Psnr vs.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Image quality metrics: Psnr vs

Reference 23

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Observation 959fc950-fb89-405e-b15f-145572221667 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Planning with Diffusion for Flexible Behavior Synthesis

Reference 24

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Source-reported events for the cited work

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Observation f4046f73-5de9-429f-a279-ba458a5c653d · outbound

This paper cites Segment Anything.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Segment Anything

Reference 25

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Observation 1658ff66-ec44-41af-be90-ccac46f7846a · outbound

This paper cites VideoPoet: A Large Language Model for Zero-Shot Video Generation.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression VideoPoet: A Large Language Model for Zero-Shot Video Generation

Reference 26

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Observation a6213946-386f-4db0-9baf-0a3be80f7522 · outbound

This paper cites Autoregressive Image Generation without Vector Quantization.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Autoregressive Image Generation without Vector Quantization

Reference 27

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Observation eed87c1b-9ad2-4a78-8ea8-d94ee031ff14 · outbound

This paper cites Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

Reference 28

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Observation 64c95c26-a4bf-4210-9e5b-e8b1d7145cfe · outbound

This paper cites MarDini: Masked Autoregressive Diffusion for Video Generation at Scale.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression MarDini: Masked Autoregressive Diffusion for Video Generation at Scale

Reference 29

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Observation 05e7bb6b-2071-4bd2-af05-adeeb6be7418 · outbound

This paper cites Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 30

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Observation d5c93905-7735-4508-afaf-3bf8b26751cf · outbound

This paper cites Interactive language: Talking to robots in real time.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Interactive language: Talking to robots in real time

Reference 31

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Observation 5984e104-c3e0-428d-b402-0f7f5e0584d6 · outbound

This paper cites What Matters in Learning from Offline Human Demonstrations for Robot Manipulation.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Reference 32

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Observation b34d408f-1b45-4612-8b75-6279c977ad70 · outbound

This paper cites A mathematical introduction to robotic manipulation.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression A mathematical introduction to robotic manipulation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.660319Z

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Observation 1f52d5dc-3e50-43b0-9476-f9a695ed62be · outbound

This paper cites Visual reinforcement learn- ing with imagined goals.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Visual reinforcement learn- ing with imagined goals

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.644567Z

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Observation dfdf6f05-9926-47a6-96c9-2c09ee242d80 · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Open X-Embodiment: Robotic Learning Datasets and RT-X Models

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Observation 33ea56b0-0278-47ad-b7f5-4a58cec84d07 · outbound

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Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Gpt-4 technical report, 2023

Reference 36

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Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Scalable diffusion models with transformers

Reference 37

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Observation 90f431d4-78ab-4852-9e7b-a78e8e8a6724 · outbound

This paper cites Language models are unsuper- vised multitask learners.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Language models are unsuper- vised multitask learners

Reference 38

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Observation 8d8b08bb-27d4-4951-9f9c-a602563fdc6b · outbound

This paper cites Humanoid Locomotion as Next Token Prediction.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Humanoid Locomotion as Next Token Prediction

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Observation 7cd095c2-1773-40dc-a1b0-6d06f41df856 · outbound

This paper cites AVID: Adapting Video Diffusion Models to World Models.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression AVID: Adapting Video Diffusion Models to World Models

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Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Masked world 10 models for visual control

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.589820Z

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Observation 720dd5a6-1693-46d4-87fc-3f9b19217887 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 42

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Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Denoising Diffusion Implicit Models

Reference 43

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Observation a309b45c-ebfa-44fc-90fd-43ae68cfb4bf · outbound

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

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Octo: An Open-Source Generalist Robot Policy

Reference 44

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Observation 08783b4e-8ccb-4b41-aca8-4fc9536a8368 · outbound

This paper cites Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Reference 45

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This paper cites Mujoco: A physics engine for model-based control.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Mujoco: A physics engine for model-based control

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.574622Z

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Observation 43fb186a-a882-43e1-8754-2a00b0ff9151 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 47

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Source-reported events for the cited work

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Observation 1bfadba5-4eb0-4fcd-a10d-b97cd2f89854 · outbound

This paper cites Diffusion models are real-time game engines, 2024.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Diffusion models are real-time game engines, 2024

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.558481Z

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Observation 3d038d4e-6e15-477e-a971-e97cda0895f2 · outbound

This paper cites Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers

Reference 49

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Observation 9b3e77d6-48aa-40c7-a8bd-f076d879bff8 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Image quality assessment: from error visibility to structural similarity

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.540714Z

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Observation d732df23-9454-40e7-b4ec-9883a72a9547 · outbound

This paper cites Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Reference 51

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Observation 8cfd79ea-b2fc-4cbe-b8af-873e6cfcb84f · outbound

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Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Learning Interactive Real-World Simulators

Reference 52

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Source-reported events for the cited work

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Observation 4bc6a08b-65f6-42cf-82cf-61b18de569f7 · outbound

This paper cites Latent Action Pretraining from Videos.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Latent Action Pretraining from Videos

Reference 53

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Source-reported events for the cited work

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Observation 47ba9072-eef3-48c2-a631-19a51bc3b2b4 · outbound

This paper cites Meta-world: A benchmark and evaluation for multi-task and meta rein- forcement learning.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Meta-world: A benchmark and evaluation for multi-task and meta rein- forcement learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.524098Z

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 976e11c8-4181-49ac-9b3f-8f98e4514e27 · outbound

This paper cites Scaling Robot Learning with Semantically Imagined Experience.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Scaling Robot Learning with Semantically Imagined Experience

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:57.907557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ea71d83-f38b-4be7-a2e4-9c0c625b6760 · outbound

This paper cites Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:57.913251Z

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Observation 39ef3873-6159-4d68-8e44-1a391d9000f0 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression The unreasonable effectiveness of deep features as a perceptual metric

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:57.918696Z

Source-reported events for the cited work

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Observation e818c381-a38c-40c6-9de4-a00cc4f73f37 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:57.923725Z

Source-reported events for the cited work

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Observation 61d69ff7-08ca-4038-b73b-6ecb25b916db · outbound

This paper cites Nerf in the palm of your hand: Corrective augmentation for robotics via novel-view synthesis.

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression Nerf in the palm of your hand: Corrective augmentation for robotics via novel-view synthesis

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:55:58.497511Z

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 fece0194-6667-44f9-ab8a-e4c2e3c2b6e3 · outbound

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

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression IRASim: A Fine-Grained World Model for Robot Manipulation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-08T22:55:57.933399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 95a08074-afd5-45ee-94f5-58b864e2dfc4 · inbound

EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video cites this paper.

EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:40:29.433302Z

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 ec0af1ce-0849-43d9-b8bc-48751245927f · inbound

RoboScape: Physics-informed Embodied World Model cites this paper.

RoboScape: Physics-informed Embodied World Model Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:56:07.377797Z

Source-reported events for the cited work

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Observation bcd6fa57-94f4-4ab6-84d8-1a1a1c054e42 · inbound

Flexible Multitask Learning with Factorized Diffusion Policy cites this paper.

Flexible Multitask Learning with Factorized Diffusion Policy Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:23:19.624107Z

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 827b669a-8a7e-4d39-a54a-ac1c5f2a536b · inbound

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

DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:02:34.182816Z

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 6daef070-6f03-423a-8350-6d3474f97e52 · inbound

PlayWorld: Learning Robot World Models from Autonomous Play cites this paper.

PlayWorld: Learning Robot World Models from Autonomous Play Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:05:54.626711Z

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 21edb4aa-ad4f-490d-959c-fd31bf376b55 · inbound

World Models for Robotic Manipulation: A Survey cites this paper.

World Models for Robotic Manipulation: A Survey Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-29T12:33:25.171734Z

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 72c4f508-b0e5-4b21-a704-c4567ff9e853 · inbound

RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation cites this paper.

RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:26:53.807491Z

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 8d8da0bf-c71c-431c-96e7-ffe784398fe4 · inbound

RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation cites this paper.

RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-14T16:48:30.512494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f0c880b-cc8d-425f-9b93-b4a206dab80b · inbound

BWM: A Low-Cost High-Fidelity World Simulator for Robot Learning cites this paper.

BWM: A Low-Cost High-Fidelity World Simulator for Robot Learning Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T09:43:32.119022Z

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