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Paper Citation Record · LEDGER

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models

As of 18 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2607.27599.

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

pith.paper-citation-record.v1
2607.27599 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:59:40.441283Z

measured 88 of 88 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

88 of 88 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved88
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7e6809a-ad93-492f-9785-267b1be953db · outbound

This paper cites Abbasi-Yadkori, D.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Abbasi-Yadkori, D

Reference 1

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source=pdf_text observed=2026-08-01T04:59:29.556396Z digest=sha256:261a78121e85e10676cf5f605797f0168a68390c3ebd4207f8fa201ed8be6290

Observation 7b8c3902-e258-4290-a4d0-d17abd85a749 · outbound

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

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Cosmos World Foundation Model Platform for Physical AI

Reference 2

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source=pdf_text observed=2026-08-01T04:59:29.672108Z digest=sha256:bf7efb185256a75a16c59e9ac04c47797721da339dc5f7c1639f4cb6514d2f32

Observation 5206049e-6325-4358-9480-9f68bcf5fdf0 · outbound

This paper cites World Simulation with Video Foundation Models for Physical AI.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models World Simulation with Video Foundation Models for Physical AI

Reference 3

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Observation 59aac36f-f591-42c6-96c3-f2d29875699b · outbound

This paper cites Alonso, A.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Alonso, A

Reference 4

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source=pdf_text observed=2026-08-01T04:59:29.881120Z digest=sha256:c80f970a166667387c2f19c01c0644cc72e5d6d41e92f5ebaeba94b48d9c0217

Observation 20e12a7b-8848-41f1-a553-c7d52957e781 · outbound

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

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 5

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source=pdf_text observed=2026-08-01T04:59:30.002226Z digest=sha256:13eab818e666fede521d338750f1e694dafd5ac6e75a4065a83e3685a5aad488

Observation dc6d6132-ed57-41b2-b5c5-daed65e0f56f · outbound

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

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 6

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source=pdf_text observed=2026-08-01T04:59:30.163462Z digest=sha256:1e88e2e123d960e9c22efeb21f9a70bdc40f037a8f25b24341b332368e5b0c00

Observation 1cd5d628-8b85-47a8-9da9-d4da1f557228 · outbound

This paper cites Bonnen, J.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Bonnen, J

Reference 7

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Observation fa8102ce-3b72-48cc-ae0d-624000d31609 · outbound

This paper cites Bruce, M.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Bruce, M

Reference 8

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source=pdf_text observed=2026-08-01T04:59:30.436498Z digest=sha256:5d4a7fe82dabe93bcf7c882d1f479d03353bfec4344bbb15391e0fe9780846e7

Observation 7a3145bb-66dc-4650-b98e-3142096501b3 · outbound

This paper cites Large Video Planner Enables Generalizable Robot Control.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Large Video Planner Enables Generalizable Robot Control

Reference 9

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source=pdf_text observed=2026-08-01T04:59:30.580224Z digest=sha256:3b90d4ba4b1dbd11f4d69fc5478285a91cbbe445ce2ca5329ac7adc47b7d3fd0

Observation 32865282-e138-4283-bf59-c0d95e2c61f3 · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-01T04:59:30.738062Z digest=sha256:908998aacc9066211c2d49616be385bd5db2ecbfb742e7245ddc3dd4b0685bbb

Observation 5b34538d-6f1f-4233-9433-92d9fe12b8f3 · outbound

This paper cites Video Language Planning.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Video Language Planning

Reference 11

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source=pdf_text observed=2026-08-01T04:59:30.830219Z digest=sha256:e407f7d06ebab8a582b887e46d14d9af8a20b414003fe42212ea9ef79224b2b4

Observation 13fd7571-e194-42a0-b5bf-96ad2e29f2de · outbound

This paper cites Manipulate-Anything: Automating Real-World Robots using Vision-Language Models.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Manipulate-Anything: Automating Real-World Robots using Vision-Language Models

Reference 12

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source=pdf_text observed=2026-08-01T04:59:30.918558Z digest=sha256:4f47102da4a8569551e6439de87b4acf511a9c4afdcf5b99cc3212b6e6983165

Observation 81a087fb-35b9-4f13-8315-34d4e6b2006c · outbound

This paper cites Ghosh, J.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Ghosh, J

Reference 13

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source=pdf_text observed=2026-08-01T04:59:31.015087Z digest=sha256:23c1ca87b043dd4c259fee38128e17677562a037ea7af97f5d55387d1e341415

Observation 9aa271c4-c500-4e4a-8f42-b255d48f1b43 · outbound

This paper cites Ctrl-World: A Controllable Generative World Model for Robot Manipulation.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Ctrl-World: A Controllable Generative World Model for Robot Manipulation

Reference 14

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source=pdf_text observed=2026-08-01T04:59:31.094883Z digest=sha256:af8f5348ccb41306ac19c92997db1c376ca738fa9a3cb6a2dacd5c50ab096f8b

Observation b1db8668-952c-4324-bb11-ea30ce22e931 · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Dream to Control: Learning Behaviors by Latent Imagination

Reference 15

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source=pdf_text observed=2026-08-01T04:59:31.140950Z digest=sha256:da29aa5d2d05aa4d1b0034b14773b27a1c62e8a5fc9b26c8266df3bd8993072e

Observation e4ceb35a-4037-4108-8378-de1a992d631a · outbound

This paper cites Mastering Atari with Discrete World Models.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Mastering Atari with Discrete World Models

Reference 16

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source=pdf_text observed=2026-08-01T04:59:31.242277Z digest=sha256:2179e79f437b01fecd1ac485b4b7dbce4a0ce6807f5605ae3b67daab62872d0f

Observation 557b22f0-e500-468c-921f-9a27f982e624 · outbound

This paper cites Mastering Diverse Domains through World Models.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Mastering Diverse Domains through World Models

Reference 17

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source=pdf_text observed=2026-08-01T04:59:31.315934Z digest=sha256:fbd1c2c3d93648a8d7ae5116b2b808125295b894e3ba12a23c595e4b5b09e5b0

Observation be37c9fe-bd9a-47d6-945b-0f92d79d92ee · outbound

This paper cites Contextual Markov Decision Processes.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Contextual Markov Decision Processes

Reference 18

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source=pdf_text observed=2026-08-01T04:59:31.388229Z digest=sha256:7573ff3cc4aa8a4d3cef7238ce83f60c8a7c180934e109fd4b1d550733d399fe

Observation cceb2b9b-a307-4acb-be5b-8bd826d92a87 · outbound

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

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 19

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source=pdf_text observed=2026-08-01T04:59:31.508197Z digest=sha256:abdb493e2683f8297797bed40bbeea227e0df06e2463167899ae75dfe1c9c379

Observation 8fd80f4c-4625-4ccb-bb8f-d3e3a4e7c2e8 · outbound

This paper cites Temporal Difference Learning for Model Predictive Control.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Temporal Difference Learning for Model Predictive Control

Reference 20

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source=pdf_text observed=2026-08-01T04:59:31.588147Z digest=sha256:4010ae370e5e6a9e15c006dcaf34aa4c6f8c5468985de67245d89982a127bfaf

Observation 85a0b957-6bd0-4fb9-b697-e9cabad2e44e · outbound

This paper cites MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

Reference 21

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Observation 10600f2f-8c59-44b3-a834-fa1123bb6120 · outbound

This paper cites Hore and D.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Hore and D

Reference 22

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Observation 7b2a1340-0079-44cf-95ae-5f28d2ee5947 · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-01T04:59:31.941683Z digest=sha256:e530bee100218ca3de02d10e1e4d76654428629aac2eb92e7770e3f2be9ac2ed

Observation 319e403d-ab39-44ae-80f1-888f2e8d94c9 · outbound

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World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-01T04:59:32.157577Z digest=sha256:edc532a81af332fe369b2090ef674627bad2c23b0a433df66bc81fd398131fed

Observation 980bd74d-6450-418b-b157-57ab0fa39523 · outbound

This paper cites Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Look Before You Leap: Unveiling the Power of GPT-4V in Robotic Vision-Language Planning

Reference 25

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source=pdf_text observed=2026-08-01T04:59:32.314653Z digest=sha256:fa6a591de372bbbbc927b986381b66e0c0f8af0230fdddfdd961a0d1edb3ad08

Observation 48f1d897-7092-43bf-b6f4-7d1f1f0c9fd3 · outbound

This paper cites VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

Reference 26

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Observation 8fc86857-bd0e-4d1f-8bac-0b8454ac4e15 · outbound

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

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 27

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Observation 940935e6-c8ca-4920-96d4-84cca0d2abec · outbound

This paper cites OpenAI o1 System Card.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models OpenAI o1 System Card

Reference 28

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Observation 05758d49-5fce-4373-b793-1b89fc8ab0cd · outbound

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World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-01T04:59:32.996994Z digest=sha256:9b3ba519e504d51fe5a63ab6a50fd5e6597d833bcd797b03825058bc42324706

Observation 7fe3f9b0-f0b1-4916-a0bd-2da5374fd7af · outbound

This paper cites DreamGen: Unlocking Generalization in Robot Learning through Video World Models.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models DreamGen: Unlocking Generalization in Robot Learning through Video World Models

Reference 30

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source=pdf_text observed=2026-08-01T04:59:33.109420Z digest=sha256:668b4f4bbf776b8ca16d7e256f2718aba09c8d70f415cc49e2945f03071c748b

Observation b8defb78-4fc6-4bf4-ada8-589d6fb8039e · outbound

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World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-01T04:59:33.265599Z digest=sha256:151b1b6feef7a1f75e19aacebe1dce6a4aa02c7429e9fd28ea97cd0085079d5c

Observation b679c8f1-ac97-4c9f-9dfd-62807d1f8c22 · outbound

This paper cites Jiang, Y.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Jiang, Y

Reference 32

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Observation 9abab217-cd63-4df0-bdcb-dae8dfd0e640 · outbound

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World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-01T04:59:33.584939Z digest=sha256:43081a3ecf07017645deb0d4f60ee8c80007819198deb47188bd011322662b71

Observation 5b69906a-273e-418b-9185-d59bd2fd50ab · outbound

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World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 34

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source=pdf_text observed=2026-08-01T04:59:33.790351Z digest=sha256:0ea2523ba8ff35b46a24347374152c70c1aab405f1ca2922d1376a01076720ff

Observation be7470ed-6194-43f4-83c3-e4c9a0229ecc · outbound

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

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 35

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source=pdf_text observed=2026-08-01T04:59:33.941127Z digest=sha256:40fa8b1ea93ad497b4ca7b1eb830091f76e8ef71b4b8ac57b382b21f1e90f1d8

Observation bc28715a-cf84-4f3b-93f9-c08e6f494b33 · outbound

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

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models OpenVLA: An Open-Source Vision-Language-Action Model

Reference 36

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source=pdf_text observed=2026-08-01T04:59:34.105073Z digest=sha256:f90764f9ba7d146e88f55adc0bea812eaf34ef51920b892e1304b11e9ae5eaac

Observation f92f2d33-a39a-439b-a8c2-781de3e739cb · outbound

This paper cites Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization

Reference 37

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Observation a11eca7a-8c8e-4ab1-a637-35996777d1c5 · outbound

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World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-01T04:59:34.438956Z digest=sha256:ff701a54f1eca12a358af41e7135b6167a94d8787fcd50c0fdf9395fe1ad8952

Observation 7193fc02-9b28-4e8c-a80b-f27f29d768c4 · outbound

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World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 39

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Observation e985cd5a-e0a6-4b0a-9bb1-ace7500ebca0 · outbound

This paper cites Causal World Modeling for Robot Control.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Causal World Modeling for Robot Control

Reference 40

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Observation 54f10c2a-a94b-4cdb-b399-48151b45dc30 · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 41

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Observation a2eb3e38-ecb5-4f0d-b0be-b073efa0bb03 · outbound

This paper cites Flow Matching for Generative Modeling.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Flow Matching for Generative Modeling

Reference 42

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Observation 1616bf10-8892-4c71-bbf8-6216710eaf49 · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 43

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Observation 42036396-7788-4a70-b4fb-238c88b7d7dc · outbound

This paper cites MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models MOKA: Open-World Robotic Manipulation through Mark-Based Visual Prompting

Reference 44

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Observation dd75e092-f142-45f8-a940-15ac24cd4aeb · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 45

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Observation 5e32d268-7509-44c4-a4a5-dd0bf375fe55 · outbound

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

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 46

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source=pdf_text observed=2026-08-01T04:59:35.591393Z digest=sha256:2a94c8d06e92fd38d642f8c66513d0e532f039cb4b95533d0f0c06e078124202

Observation 3432316b-0204-4e6c-9b10-f96a23f745a7 · outbound

This paper cites Lozano-Perez.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Lozano-Perez

Reference 47

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Observation 39b910ba-84dc-4aab-9c3f-a9e7241a7ef8 · outbound

This paper cites On the Power of Multitask Representation Learning in Linear MDP.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models On the Power of Multitask Representation Learning in Linear MDP

Reference 48

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Observation 207f060a-5aaf-4781-bb55-2d7198ef6459 · outbound

This paper cites Malik, Y.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Malik, Y

Reference 49

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source=pdf_text observed=2026-08-01T04:59:35.962940Z digest=sha256:2f1ae09e6a72756f79e2812eb49f417c914f54af9de9bb92f6c1aa3afc0e0853

Observation 764dc131-7604-4cad-9838-fe006ded5512 · outbound

This paper cites MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Reference 50

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source=pdf_text observed=2026-08-01T04:59:36.067909Z digest=sha256:2a3f4927e61982f1f7a74caf95f12539336352f2bb4150b32222f6506ef69584

Observation 1f29e612-6eb3-487d-8115-a3c5486110ce · outbound

This paper cites RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots

Reference 51

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Observation 9bb385f8-e7c9-409c-9286-d8a5d9ebee03 · outbound

This paper cites PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs

Reference 52

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Observation 31af9539-5f7c-4776-91af-8846fa46bc50 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models DINOv2: Learning Robust Visual Features without Supervision

Reference 53

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Observation dbaca1c4-3026-4fd4-b105-8fb907e8746b · outbound

This paper cites Peebles and S.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Peebles and S

Reference 54

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Observation 37be1288-99b4-4556-a64d-8a6c8d01d0cc · outbound

This paper cites Pichai, D.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Pichai, D

Reference 55

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Observation b49b19e4-1b31-46d8-ab9b-c55eb0ab4146 · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-01T04:59:36.839888Z digest=sha256:b3c6666e10aea92c65dac1c515a8a5e5c785631e43c3199a25f2496b06813f58

Observation 8ccd586b-47b1-4d29-8e3a-95d33f2af766 · outbound

This paper cites Quevedo, A.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Quevedo, A

Reference 57

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Observation 7e78d438-eb72-4007-8660-62e78c0b749e · outbound

This paper cites Radford, J.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Radford, J

Reference 58

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Observation 0c2f9f60-f3dd-4257-aaf4-1248b0695584 · outbound

This paper cites Rajaraman, Y.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Rajaraman, Y

Reference 59

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Observation 088e947a-0c4c-4c37-88e7-3ef37486fbc0 · outbound

This paper cites Rajaraman, L.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Rajaraman, L

Reference 60

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source=pdf_text observed=2026-08-01T04:59:37.341703Z digest=sha256:957292ec2994cc2e67d5b4216bb6bf4f7c452caaa112eae323f6cc35e7b1a96f

Observation 6e947a65-7ca9-4a89-ba61-6e85432cacae · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 61

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Observation aadfd208-b587-4d4c-baa3-3ddce1ef3c02 · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 62

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source=pdf_text observed=2026-08-01T04:59:37.543701Z digest=sha256:b6e7f1f25b0ff7c4a61fe05c472989a4a5b81f5b56765e5ab2b3cbe498a47f61

Observation 817f305e-bd30-4b07-a97b-f6bfac2c4039 · outbound

This paper cites History-Guided Video Diffusion.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models History-Guided Video Diffusion

Reference 63

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Observation cebc1712-d6d5-43ea-8ffa-71b7fc88bb18 · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 64

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Observation 46191833-1f51-48f4-b2be-34c46f4deb46 · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 65

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Observation 3b093f87-a503-4f6c-a790-23f038635a33 · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 66

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Observation 01e78628-8afe-429d-97cc-f38f74d1a000 · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 67

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Observation 2855ecc8-5987-46e8-a25b-cb70b0af1040 · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-01T04:59:38.246075Z digest=sha256:ff4bc03572a0ad41d2cabf20dc567cf1729a3be7128dc80f9dd2d1b659ebd6bd

Observation 6ec25341-be06-4cfe-a4a4-a89d2b6ae5d8 · outbound

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

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 69

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Observation 89bbc8b3-3d97-4441-820a-d4586bd2c3ec · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 70

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source=pdf_text observed=2026-08-01T04:59:38.530248Z digest=sha256:52b0fd35147b624df8ae05ae16c0aeaaffe10a5c0a8bf66915e3a6e380e3dde0

Observation d0013c4b-1af6-447a-b9fe-da6536555937 · outbound

This paper cites Training on Irrelevant States Implies Data Augmentation: Generalization in Contextual MDPs.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Training on Irrelevant States Implies Data Augmentation: Generalization in Contextual MDPs

Reference 71

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Observation 06ddc16a-919d-4051-9d31-01dab965ebab · outbound

This paper cites Video models are zero-shot learners and reasoners.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Video models are zero-shot learners and reasoners

Reference 72

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Observation 0230159e-ebe0-42ec-8343-b1cfc7f56eb3 · outbound

This paper cites Williams, A.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Williams, A

Reference 73

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source=pdf_text observed=2026-08-01T04:59:38.733257Z digest=sha256:24ffb2e04f34d349a0187c349b55c36e9e5e13aa2437a564bacffda4301a2cb8

Observation 53738cc6-318a-4452-882f-758a42fe1b35 · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 74

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source=pdf_text observed=2026-08-01T04:59:38.842904Z digest=sha256:d196ba20af578d56d2652ee2a3c9704b128ba4d5296c2bfb565305720d327c13

Observation 4390b4bc-623d-43a6-ac96-fd8f70d71c6e · outbound

This paper cites Learning Interactive Real-World Simulators.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Learning Interactive Real-World Simulators

Reference 75

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source=pdf_text observed=2026-08-01T04:59:38.952734Z digest=sha256:1bbfec0b5da77ccb8eaaddb1c5c14ea4cd938f5d8440181081d9e31384796268

Observation 35c8f611-83ab-4fac-b5c6-6785cef3449c · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 76

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source=pdf_text observed=2026-08-01T04:59:39.104428Z digest=sha256:a4f51e85aee39020cf7ba9bb6c4e058c415c1a415d5f95f111218c69e7cd9482

Observation 6c5bddc9-aec1-4bbc-8e3d-615ecd1446f9 · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 77

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source=pdf_text observed=2026-08-01T04:59:39.216486Z digest=sha256:12c409f5bbca87037bae58037851b99c37b4e3b90e8b6bb7d0f5785edaf1dc49

Observation 2c63627b-82d0-41c9-bc34-b56ed3e4a52e · outbound

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

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models World Action Models are Zero-shot Policies

Reference 78

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source=pdf_text observed=2026-08-01T04:59:39.292698Z digest=sha256:67df68642b0c67d367547333dfe718a9db25b42df5462c86f54e5be101571c63

Observation 6f093cc6-6427-4f78-ab61-69444a4982ce · outbound

This paper cites The Benefits of Model-Based Generalization in Reinforcement Learning.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models The Benefits of Model-Based Generalization in Reinforcement Learning

Reference 79

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source=pdf_text observed=2026-08-01T04:59:39.399377Z digest=sha256:996bbfb42afc46108aba1af21593aa91d1134ca9eb4a6414ddd7020d1b0f12f8

Observation 42f8b860-3de5-49cc-87bd-ae83706cb8cd · outbound

This paper cites TextGrad: Automatic "Differentiation" via Text.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models TextGrad: Automatic "Differentiation" via Text

Reference 80

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no resolver link, observed 2026-08-01T04:59:39.550137Z

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source=pdf_text observed=2026-08-01T04:59:39.550137Z digest=sha256:37da6a5252e8f3bc6e0c379bb32f491499e47a66c1ac9e4670bc45e9421a1a5d

Observation 2b21a5b2-f229-49b1-829f-ebf104654ac3 · outbound

This paper cites Zhang, A.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Zhang, A

Reference 81

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source=pdf_text observed=2026-08-01T04:59:39.736512Z digest=sha256:5b95a4402901bf4377d43f37334049e29c1000c800b4554f8d01886bee137a60

Observation 60d62c38-720f-4fc0-9362-94a53437c1a8 · outbound

This paper cites Zhang, P.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Zhang, P

Reference 82

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no resolver link, observed 2026-08-01T04:59:39.877196Z

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source=pdf_text observed=2026-08-01T04:59:39.877196Z digest=sha256:8311dac4f03c5b2c32664fd95a2bbb406d8e6c67d057947ee81d4c477fa07354

Observation ba6d1179-c096-45d1-a634-c60223a0bb64 · outbound

This paper cites Zhang, H.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Zhang, H

Reference 83

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no resolver link, observed 2026-08-01T04:59:39.999285Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T04:59:39.999285Z digest=sha256:c0a4b07633d99854aaab6562e921ef64ac20a7c2592632a9ffd02f472fd5bafd

Observation cd8f52e7-70d5-4a32-a6ee-5684a28e3cf7 · outbound

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

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Reference 84

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no resolver link, observed 2026-08-01T04:59:40.054378Z

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source=pdf_text observed=2026-08-01T04:59:40.054378Z digest=sha256:263d2874b114741e7ef8dd97fc494731d3f4d4c8e5ae723e057bce501b322280

Observation c8764112-8b84-4b5e-9c02-c81015ec9ad4 · outbound

This paper cites DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Reference 85

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no resolver link, observed 2026-08-01T04:59:40.155036Z

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source=pdf_text observed=2026-08-01T04:59:40.155036Z digest=sha256:f8e90789d92d12cd88ebea0fff884049137a47f8860e3dafb7af1073e5c7776c

Observation d71c06bc-8409-4c61-a7ff-0ac0e47e6693 · outbound

This paper cites an unresolved cited work.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models Unresolved cited work

Reference 86

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source=pdf_text observed=2026-08-01T04:59:40.270835Z digest=sha256:9c14387fba21c58157ab1928dbb683eb179cdbfb52f55bdb4a274f6da008acd3

Observation 8884c115-59ed-4192-bf49-794bd8ef726b · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 87

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no resolver link, observed 2026-08-01T04:59:40.345994Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T04:59:40.345994Z digest=sha256:c979c0fd914034a2dcaed762f70ad29f76d86d26f778e0b76512970e1f5321cd

Observation f081181b-7713-4d70-af42-2b9ad2cd95af · outbound

This paper cites STUDY SCENE1: pick up the book and place it in the back compartment of the caddy.

World Action Planner: Generalizable Decision-Making with Action-Conditioned World Models STUDY SCENE1: pick up the book and place it in the back compartment of the caddy

Reference 88

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no resolver link, observed 2026-08-01T04:59:40.441283Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T04:59:40.441283Z digest=sha256:24756d7ad393d250e0ebf5e15aa45bde591fbf9c9bfdff0681b522c19fff9c78

Pith citing papers

No inbound Pith citation observations are available.