Paper Citation Record · LEDGER

Coupled Local and Global World Models for Efficient First Order RL

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2602.06219.

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

pith.paper-citation-record.v1
2602.06219 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:03:57.872787Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation cebd7c78-9047-44b0-9a55-8ac96f97ff2d · outbound

This paper cites Diffusion for world modeling: Visual details matter in atari.Advances in Neural Information Processing Sys- tems, 37, 2024.

Coupled Local and Global World Models for Efficient First Order RL Diffusion for world modeling: Visual details matter in atari.Advances in Neural Information Processing Sys- tems, 37, 2024

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:55.452503Z

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Observation 608d48c3-97b4-4f94-8ae1-54d81e4ced4d · outbound

This paper cites First order model-based rl through decoupled backpropagation.

Coupled Local and Global World Models for Efficient First Order RL First order model-based rl through decoupled backpropagation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:55.509758Z

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Observation 13d19bea-9c3f-43f0-b51c-5409a67823db · outbound

This paper cites Sample-efficient reinforce- ment learning with stochastic ensemble value expansion.

Coupled Local and Global World Models for Efficient First Order RL Sample-efficient reinforce- ment learning with stochastic ensemble value expansion

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:55.568348Z

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Observation 717707db-0e74-4b12-a98f-c20e760d5999 · outbound

This paper cites Soloparkour: Constrained reinforcement learning for visual locomotion from privileged experience.

Coupled Local and Global World Models for Efficient First Order RL Soloparkour: Constrained reinforcement learning for visual locomotion from privileged experience

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:55.657636Z

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Observation fd44f585-4173-4798-89dd-648e29713ef3 · outbound

This paper cites Cat: Constraints as terminations for legged locomotion reinforcement learning.

Coupled Local and Global World Models for Efficient First Order RL Cat: Constraints as terminations for legged locomotion reinforcement learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:55.759638Z

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Observation 91e11f48-61b2-4a08-b27a-11f79d867a3b · outbound

This paper cites Diffu- sion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 37, 2024.

Coupled Local and Global World Models for Efficient First Order RL Diffu- sion forcing: Next-token prediction meets full-sequence diffusion.Advances in Neural Information Processing Systems, 37, 2024

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:55.869682Z

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Observation 1cd695da-a2e2-4c94-bcd5-8f8e359f0244 · outbound

This paper cites Extreme parkour with legged robots.

Coupled Local and Global World Models for Efficient First Order RL Extreme parkour with legged robots

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:55.952967Z

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Observation 4c4436d8-b8f3-4ee6-9ea7-e28d8d8a0941 · outbound

This paper cites Deep reinforcement learning in a handful of trials using probabilistic dynamics models.

Coupled Local and Global World Models for Efficient First Order RL Deep reinforcement learning in a handful of trials using probabilistic dynamics models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.022004Z

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Observation 274f3b92-1545-4ad3-be73-a0b1fd2ec2c9 · outbound

This paper cites Model- augmented actor-critic: Backpropagating through paths.

Coupled Local and Global World Models for Efficient First Order RL Model- augmented actor-critic: Backpropagating through paths

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.119720Z

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Observation 2efb367e-e2e2-4b4c-98d6-c0745027ebd8 · outbound

This paper cites One Step Diffusion via Shortcut Models.

Coupled Local and Global World Models for Efficient First Order RL One Step Diffusion via Shortcut Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.241350Z

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Observation c724f07f-d680-4eaa-8913-584157685fc4 · outbound

This paper cites PWM: Policy Learning with Multi-Task World Models.

Coupled Local and Global World Models for Efficient First Order RL PWM: Policy Learning with Multi-Task World Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.304547Z

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Observation 3bdc782b-677e-4961-995e-aa2203481aee · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor.

Coupled Local and Global World Models for Efficient First Order RL Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.359770Z

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Observation f273cae3-e53d-4d1c-8099-b10c5b7bf316 · outbound

This paper cites Soft Actor-Critic Algorithms and Applications.

Coupled Local and Global World Models for Efficient First Order RL Soft Actor-Critic Algorithms and Applications

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.421007Z

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Observation 8ed3ffc5-301e-433f-ad70-63d8859bbd60 · outbound

This paper cites Mastering atari with discrete world models.

Coupled Local and Global World Models for Efficient First Order RL Mastering atari with discrete world models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.512264Z

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Observation 1797ab77-6b56-453b-9833-8cf4aadf30b5 · outbound

This paper cites Mastering diverse control tasks through world models.Nature, 640(8059):647–653, 2025.

Coupled Local and Global World Models for Efficient First Order RL Mastering diverse control tasks through world models.Nature, 640(8059):647–653, 2025

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.576353Z

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Observation 1dae7f2e-5e52-447f-ad6b-0dc8b684048c · outbound

This paper cites Training Agents Inside of Scalable World Models.

Coupled Local and Global World Models for Efficient First Order RL Training Agents Inside of Scalable World Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.709533Z

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Observation 8bd46494-f7ad-4d65-843d-ebdc11dad254 · outbound

This paper cites Temporal difference learning for model predictive control.

Coupled Local and Global World Models for Efficient First Order RL Temporal difference learning for model predictive control

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.764465Z

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Observation b294454d-15bb-4b10-908a-2439cc741e2a · outbound

This paper cites Td-mpc2: Scalable, robust world models for continuous control.

Coupled Local and Global World Models for Efficient First Order RL Td-mpc2: Scalable, robust world models for continuous control

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.815535Z

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Observation f2d99499-4fa2-432b-abe9-c8419db54712 · outbound

This paper cites Axial attention in multidimensional transformers.

Coupled Local and Global World Models for Efficient First Order RL Axial attention in multidimensional transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.851729Z

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Observation 7894fed2-e8ea-468b-ab6a-011544c9e6a7 · outbound

This paper cites Anymal parkour: Learning agile navigation for quadrupedal robots.Science Robotics, 9(88), 2024.

Coupled Local and Global World Models for Efficient First Order RL Anymal parkour: Learning agile navigation for quadrupedal robots.Science Robotics, 9(88), 2024

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.894275Z

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Observation 3a485370-5fbd-4fd7-9c99-f655702be553 · outbound

This paper cites When to trust your model: Model-based policy optimization.Advances in neural information processing systems, 32, 2019.

Coupled Local and Global World Models for Efficient First Order RL When to trust your model: Model-based policy optimization.Advances in neural information processing systems, 32, 2019

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.943761Z

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Observation 2ef21bb8-960e-4aaa-ae35-38e21a5bd598 · outbound

This paper cites An introduction to zero-order op- timization techniques for robotics.arXiv preprint arXiv:2506.22087, 2025.

Coupled Local and Global World Models for Efficient First Order RL An introduction to zero-order op- timization techniques for robotics.arXiv preprint arXiv:2506.22087, 2025

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:56.982842Z

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Observation ccabee6a-3e02-44cf-9d84-af06f7ee6482 · outbound

This paper cites Elucidating the design space of diffusion-based genera- tive models.Advances in neural information processing systems, 35, 2022.

Coupled Local and Global World Models for Efficient First Order RL Elucidating the design space of diffusion-based genera- tive models.Advances in neural information processing systems, 35, 2022

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.050055Z

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Observation df6bf141-15b5-44d8-9223-40f48002be56 · outbound

This paper cites Worldplanner: Monte carlo tree search and mpc with action-conditioned visual world models, 2025.

Coupled Local and Global World Models for Efficient First Order RL Worldplanner: Monte carlo tree search and mpc with action-conditioned visual world models, 2025

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.107713Z

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Observation 7492b502-ac9d-46c7-8e19-84a0a6989370 · outbound

This paper cites Auto-encoding variational bayes.

Coupled Local and Global World Models for Efficient First Order RL Auto-encoding variational bayes

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.156493Z

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Observation e0761d95-cec3-4e75-ac75-d3b31b234931 · outbound

This paper cites Model-ensemble trust-region policy optimization.

Coupled Local and Global World Models for Efficient First Order RL Model-ensemble trust-region policy optimization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.188916Z

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Observation 7fc70c44-37dd-40bb-921f-be63a0b09f29 · outbound

This paper cites Investigating Compounding Prediction Errors in Learned Dynamics Models.

Coupled Local and Global World Models for Efficient First Order RL Investigating Compounding Prediction Errors in Learned Dynamics Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.233115Z

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Observation b6976a91-c4cc-45fc-8d59-41aaaccc3f66 · outbound

This paper cites Uncertainty-aware robotic world model makes offline model-based reinforcement learning work on real robots, 2025.

Coupled Local and Global World Models for Efficient First Order RL Uncertainty-aware robotic world model makes offline model-based reinforcement learning work on real robots, 2025

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.291026Z

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Observation 05e9cd88-4604-4802-b826-dc9ca8633bd0 · outbound

This paper cites Lightzero: A unified benchmark for monte carlo tree search in general sequential decision scenarios.Advances in Neural Information Processing Systems, 36, 2024.

Coupled Local and Global World Models for Efficient First Order RL Lightzero: A unified benchmark for monte carlo tree search in general sequential decision scenarios.Advances in Neural Information Processing Systems, 36, 2024

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.339066Z

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Observation 0386dd37-9f4a-4a13-a693-4c3b69f845db · outbound

This paper cites UniZero: Generalized and Efficient Planning with Scalable Latent World Models.

Coupled Local and Global World Models for Efficient First Order RL UniZero: Generalized and Efficient Planning with Scalable Latent World Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.371531Z

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Observation 405f2d97-f906-405a-87e0-74cc059c0235 · outbound

This paper cites Mastering atari, go, chess and shogi by planning with a learned model.Nature, 588(7839):604– 609, 2020.

Coupled Local and Global World Models for Efficient First Order RL Mastering atari, go, chess and shogi by planning with a learned model.Nature, 588(7839):604– 609, 2020

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.432886Z

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Observation 6356dc6a-a18e-4fb4-9367-af66dd7ac47b · outbound

This paper cites Proximal Policy Optimization Algorithms.

Coupled Local and Global World Models for Efficient First Order RL Proximal Policy Optimization Algorithms

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.494654Z

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Observation 9a25fdc2-75bd-4c72-a838-842dd2ab67b2 · outbound

This paper cites Daydreamer: World models for physical robot learning.

Coupled Local and Global World Models for Efficient First Order RL Daydreamer: World models for physical robot learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.541954Z

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Observation ffeffede-261d-4132-aaac-cf171f13466e · outbound

This paper cites Learning to combat compounding- error in model-based reinforcement learning, 2019.

Coupled Local and Global World Models for Efficient First Order RL Learning to combat compounding- error in model-based reinforcement learning, 2019

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.589844Z

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Observation d091cfb9-1912-45bc-a529-f29e813084e4 · outbound

This paper cites Stabilizing rein- forcement learning in differentiable multiphysics simula- tion.International Conference on Learning Representa- tions (ICLR), 2025.

Coupled Local and Global World Models for Efficient First Order RL Stabilizing rein- forcement learning in differentiable multiphysics simula- tion.International Conference on Learning Representa- tions (ICLR), 2025

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.642074Z

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Observation 4445579d-62d0-436d-8a35-942cc6bcfa18 · outbound

This paper cites Rank2reward: Learning shaped reward functions from passive video.

Coupled Local and Global World Models for Efficient First Order RL Rank2reward: Learning shaped reward functions from passive video

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.680034Z

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Observation 306fc9f4-dff9-4422-a5e2-76d025c93d45 · outbound

This paper cites Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn.

Coupled Local and Global World Models for Efficient First Order RL Zhao, Vikash Kumar, Sergey Levine, and Chelsea Finn

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.716066Z

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Observation 087ca447-38d7-4023-9947-fc8b91fecbf6 · outbound

This paper cites Sim-to-real transfer in deep reinforcement learning for robotics: a survey.

Coupled Local and Global World Models for Efficient First Order RL Sim-to-real transfer in deep reinforcement learning for robotics: a survey

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.810275Z

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Observation 6799c458-a3c1-45b7-a582-e722a8acc9be · outbound

This paper cites Robot Parkour Learning.

Coupled Local and Global World Models for Efficient First Order RL Robot Parkour Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T04:03:57.872787Z

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Pith citing papers

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