Paper Citation Record · LEDGER

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models

As of 18 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.09185.

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

pith.paper-citation-record.v1
2607.09185 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T04:50:59.096166Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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unresolved42
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External citation measurements

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Outbound references

Observation 07ff60ca-cf46-438c-a5de-7b3cb3e70769 · outbound

This paper cites World Models.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models World Models

Reference 1

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Observation c56cc561-a74c-4f46-af9d-b36d484f4488 · outbound

This paper cites Mastering Diverse Domains through World Models.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Mastering Diverse Domains through World Models

Reference 2

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Observation bc35251b-d7bf-4213-a791-a5e00d354efe · outbound

This paper cites ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models

Reference 3

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Observation 5e1dfcce-821f-43d7-93cf-b06e294dabd4 · outbound

This paper cites iVideoGPT: Interactive VideoGPTs are Scalable World Models.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models iVideoGPT: Interactive VideoGPTs are Scalable World Models

Reference 4

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Observation e4de2a0a-654b-4c75-ba0c-a2c04992c750 · outbound

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

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T04:50:59.096166Z

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Observation fd6e7070-44d1-40a2-abfa-0ebc86095f67 · outbound

This paper cites DROID: A large-scale in-the-wild robot manipulation dataset,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models DROID: A large-scale in-the-wild robot manipulation dataset,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T04:50:59.096166Z

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Observation acc36dee-c1bd-44b5-a0fd-5311751fd8e2 · outbound

This paper cites Ego4D: Around the world in 3,000 hours of egocentric video,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Ego4D: Around the world in 3,000 hours of egocentric video,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T04:50:59.096166Z

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Observation eb1b3aed-65c2-4bf0-b7ec-392c70ec90b1 · outbound

This paper cites Ego-Exo4D: Understand- ing skilled human activity from first- and third-person perspectives,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Ego-Exo4D: Understand- ing skilled human activity from first- and third-person perspectives,

Reference 8

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Observation 49f771d0-1a82-455c-8909-d25469ac2628 · outbound

This paper cites Scaling egocentric vision: The EPIC-KITCHENS dataset,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Scaling egocentric vision: The EPIC-KITCHENS dataset,

Reference 9

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Observation 84c37187-f34a-4027-b284-038928a064dd · outbound

This paper cites Genie: Generative Interactive Environments.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Genie: Generative Interactive Environments

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T04:50:59.096166Z

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Observation 0b0088f1-d016-4180-b812-fa525f3e1e18 · outbound

This paper cites Learning to Act without Actions.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Learning to Act without Actions

Reference 11

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Observation a2599d80-5fd4-47f8-a549-f48fc204851d · outbound

This paper cites Latent action pretraining from videos,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Latent action pretraining from videos,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T04:50:59.096166Z

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Observation 2489aaeb-58cb-410f-b335-30fcfe95d736 · outbound

This paper cites AdaWorld: Learning adaptable world models with latent actions,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models AdaWorld: Learning adaptable world models with latent actions,

Reference 13

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Observation 2ce2a0cb-13ef-471e-850f-08e498e7c0fb · outbound

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

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Reference 14

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Observation 1bf6a949-6898-4de4-b09e-1f4ba0276d29 · outbound

This paper cites What do latent action models actually learn?.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models What do latent action models actually learn?

Reference 15

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Observation 2889d3d0-c090-4ed8-bbb2-9f8e68f98a9c · outbound

This paper cites Latent action learning requires supervision in the presence of distractors,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Latent action learning requires supervision in the presence of distractors,

Reference 16

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Observation 64c48135-0882-44c7-854f-9726a42acdfa · outbound

This paper cites ConLA: Contrastive latent action learning from human videos for robotic manipulation,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models ConLA: Contrastive latent action learning from human videos for robotic manipulation,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T04:50:59.096166Z

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Observation 7093808b-a0ee-45b4-bd49-78e95d7cf9f4 · outbound

This paper cites AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 18

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Observation a510bd4b-146e-4949-b55a-2acd362e7474 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models SAM 3: Segment Anything with Concepts

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T04:50:59.096166Z

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Observation 28fd2190-bc54-4d8b-a879-3ef00929c39a · outbound

This paper cites Sigmoid loss for language image pre-training,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Sigmoid loss for language image pre-training,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T04:50:59.096166Z

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Observation 92211946-b2b6-4c53-981c-0b6d69a7929b · outbound

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

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T04:50:59.096166Z

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Observation cb5e7da1-cf19-4ccd-87ac-c767f075f3c4 · outbound

This paper cites CoWTracker: Tracking by warping instead of correlation,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models CoWTracker: Tracking by warping instead of correlation,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T04:50:59.096166Z

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Observation 570925d7-b870-407b-a657-1f97499ede68 · outbound

This paper cites Imitating Latent Policies from Observation.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Imitating Latent Policies from Observation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T04:50:59.096166Z

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Observation f7f8dd81-8c56-470d-a611-dedaaa8bd49e · outbound

This paper cites Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T04:50:59.096166Z

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Observation aeedf3a3-a40c-4494-a72e-640ce40a7752 · outbound

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

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Moto: Latent motion token as the bridging language for learning robot manipulation from videos,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T04:50:59.096166Z

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Observation db4fb4c8-8d36-4d37-864c-cb06c02743e2 · outbound

This paper cites IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI

Reference 26

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Observation 9bb717eb-f5a8-4154-81d7-1e521b2243d3 · outbound

This paper cites Learning Additively Compositional Latent Actions for Embodied AI.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Learning Additively Compositional Latent Actions for Embodied AI

Reference 27

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Observation 8ba35f2f-fe21-4efc-b25e-f6f0e0310f2a · outbound

This paper cites Co-Evolving Latent Action World Models.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Co-Evolving Latent Action World Models

Reference 28

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Observation ca9bb646-ee94-41ac-a0c2-d12542f47f86 · outbound

This paper cites MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models MVP-LAM: Learning Action-Centric Latent Action via Cross-Viewpoint Reconstruction

Reference 29

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Observation 0049136e-ec93-4301-b862-643d174158a8 · outbound

This paper cites Masked autoencoders are scalable vision learners,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Masked autoencoders are scalable vision learners,

Reference 30

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Observation c18b0991-b9b4-4903-9c65-262d1e7a13bb · outbound

This paper cites Learning Interactive Real-World Simulators.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Learning Interactive Real-World Simulators

Reference 31

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Observation 8d4d4af8-a7f1-4923-b6fb-465f31ec47d2 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Cosmos World Foundation Model Platform for Physical AI

Reference 32

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Observation 50789b1f-b1fd-4b8e-b193-07e5118e0672 · outbound

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

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 33

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Observation 9b5b6ca2-1e64-4f27-9acb-7c455d8b09cf · outbound

This paper cites MotionPro: A precise motion controller for image-to-video generation,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models MotionPro: A precise motion controller for image-to-video generation,

Reference 34

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Observation 268c3f36-dd7c-47aa-b8dd-8d261ff1f503 · outbound

This paper cites TAP-Vid: A Benchmark for Tracking Any Point in a Video.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models TAP-Vid: A Benchmark for Tracking Any Point in a Video

Reference 35

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Observation a6edee24-b5d8-4984-82ee-b32839e575b0 · outbound

This paper cites TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement

Reference 36

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Observation 9f703488-beda-418c-a350-15d8521fce8b · outbound

This paper cites CoTracker: It is better to track together,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models CoTracker: It is better to track together,

Reference 37

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Observation 7af3ad13-35c2-4d17-8da9-387d7214f105 · outbound

This paper cites Segment Anything.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Segment Anything

Reference 38

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Observation 5a662e86-4bac-4262-a032-1301b9122dc2 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models SAM 2: Segment Anything in Images and Videos

Reference 39

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Observation 8bad13f7-2533-41a3-9454-38da8e11f9c9 · outbound

This paper cites Invariant Risk Minimization.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Invariant Risk Minimization

Reference 40

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Observation e49a5b0d-91ff-4aef-b5bd-efa9c1b7768e · outbound

This paper cites Shortcut learning in deep neural networks,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Shortcut learning in deep neural networks,

Reference 41

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Observation f313a658-7172-4e12-8462-dfd04f4cda4c · outbound

This paper cites Causal confusion in imita- tion learning,.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models Causal confusion in imita- tion learning,

Reference 42

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Pith citing papers

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