Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T09:40:54.963759Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2606.12217.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-27T09:40:54.963759Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T01:34:31.476784Z
A source-named dated measurement, never combined with another source.
Source: cited_works
66 of 66 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models RT-1: Robotics Transformer for Real-World Control at Scale
Reference 1
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Zitkovich, T
Reference 2
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models O’Neill, A
Reference 3
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Observation 46d323fb-5fca-4f2f-a63d-7a024f3975ca · outbound
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models WorldVLA: Towards Autoregressive Action World Model
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models FLARE: Robot Learning with Implicit World Modeling
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Motus: A Unified Latent Action World Model
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Unresolved cited work
Reference 9
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models World Action Models are Zero-shot Policies
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Causal World Modeling for Robot Control
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Brooks, B
Reference 14
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Observation 35bf292c-c4b9-4e28-b84f-2545f5f7c4a9 · outbound
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Wan: Open and Advanced Large-Scale Video Generative Models
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Cosmos World Foundation Model Platform for Physical AI
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations
Reference 17
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Reference 18
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Diffusion Transformers with Representation Autoencoders
Reference 19
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Observation fc95e2e2-1059-4f51-a2cd-34f73a6b8989 · outbound
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
Reference 20
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models VideoGPT: Video Generation using VQ-VAE and Transformers
Reference 21
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Blattmann, R
Reference 23
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Observation 1d40622c-2dc6-494f-a5cc-0cbfad769917 · outbound
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets
Reference 24
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Observation bb02efb5-78e5-4d5b-b11d-d68261028e5c · outbound
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Is sora a world simulator? A comprehensive survey on general world models and beyond
Reference 25
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Observation b4253f4f-5dca-43ae-8c16-c82a843c99d0 · outbound
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Bruce, M
Reference 26
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Observation 4f94977e-4025-4128-8d0b-2f6ef5e40b01 · outbound
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Unresolved cited work
Reference 27
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Observation efa12b42-46b3-4de7-993d-dd5925a8cb48 · outbound
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Unresolved cited work
Reference 28
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Observation b825f263-a18f-4d1b-b792-aaf922d59d5f · outbound
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Huang, J
Reference 29
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Wow: Towards a world omniscient world model through embodied interaction
Reference 30
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Gigaworld-0: World models as data engine to empower embodied ai
Reference 31
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
Reference 32
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Observation 7fbe4a8b-6f5c-45ae-83a2-6eca8218f5ac · outbound
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Shang, X
Reference 33
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Observation e219b091-a5d2-45ad-a3c0-7ca7af99c873 · outbound
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models DreamGen: Unlocking Generalization in Robot Learning through Video World Models
Reference 34
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models WorldEval: World Model as Real-World Robot Policies Evaluator
Reference 35
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models WorldGym: World Model as An Environment for Policy Evaluation
Reference 36
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Ctrl-World: A Controllable Generative World Model for Robot Manipulation
Reference 37
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Finn and S
Reference 38
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Unresolved cited work
Reference 39
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Vidar: Embodied Video Diffusion Model for Generalist Manipulation
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Video Generators are Robot Policies
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation
Reference 42
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Dit4dit: Jointly modeling video dynamics and actions for generalizable robot control
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Fast-WAM: Do World Action Models Need Test-time Future Imagination?
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Peebles and S
Reference 45
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Unresolved cited work
Reference 46
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Unresolved cited work
Reference 47
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Observation 92f5b658-b666-46c9-871e-10a1c2c8f6d6 · outbound
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Xiang, H
Reference 48
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Yang and X
Reference 49
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Caron, H
Reference 50
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Observation 57d81c2c-e1ad-4a4d-be97-da20208a5397 · outbound
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models DINOv2: Learning Robust Visual Features without Supervision
Reference 51
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Unresolved cited work
Reference 52
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models What matters for representation alignment: Global information or spatial structure?
Reference 53
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Observation f29c4ba2-d7ee-4cda-9310-6fe8a460ca2d · outbound
Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Unresolved cited work
Reference 54
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Cross-Frame Representation Alignment for Fine-Tuning Video Diffusion Models
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Zhang, J
Reference 56
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
Reference 58
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Flow Matching for Generative Modeling
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models Abdi and L
Reference 60
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models DIAL: Decoupling Intent and Action via Latent World Modeling for End-to-End VLA
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Making Foresight Actionable: Repurposing Representation Alignment in World Action Models LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion
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Observation ebbfc7ad-2f1f-4bdc-8e50-4f12a31bb25f · outbound
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