Paper Citation Record · LEDGER

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation

As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.11427.

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

pith.paper-citation-record.v1
2607.11427 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T05:40:47.306935Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

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Reference resolution

46 of 46 outbound references displayed

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verified fuzzy0
unresolved45
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malformed identifier1
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Outbound references

Observation b6d9166b-d762-4cbd-b590-dce3670f6f59 · outbound

This paper cites Self-supervised learning from images with a joint-embedding predictive architecture.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Self-supervised learning from images with a joint-embedding predictive architecture

Reference 1

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Observation cb984940-f8b2-4378-ade7-dc9ada1df139 · outbound

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

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 2

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Observation ae839ee4-7a96-4973-85ed-07aed80cc9b4 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 8753f6e6-7686-416a-a1a9-4f38f14e5306 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation RT-1: Robotics Transformer for Real-World Control at Scale

Reference 4

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Observation d9772660-1083-4b7d-9ed9-63ebb817b7d9 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation e4b64054-1f85-4e39-8da5-f8446812183c · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation WorldVLA: Towards Autoregressive Action World Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 1796840a-3efa-4fff-870f-299d4b0e84dc · outbound

This paper cites Diffusion Policy: Visuomotor Policy Learning via Action Diffusion.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 445107db-8bf3-442f-960c-f00171a522ee · outbound

This paper cites Gemini Robotics: Bringing AI into the Physical World.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Gemini Robotics: Bringing AI into the Physical World

Reference 8

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Observation 85b577b6-b9a8-4173-b667-14898fc75e07 · outbound

This paper cites Carp: Visuomotor policy learning via coarse-to-fine autore- gressive prediction.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Carp: Visuomotor policy learning via coarse-to-fine autore- gressive prediction

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 4940b457-1cd9-4449-9db0-700bab7d5d1b · outbound

This paper cites Mimic intent, not just trajec- tories.arXiv preprint arXiv:2602.08602, 2026.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Mimic intent, not just trajec- tories.arXiv preprint arXiv:2602.08602, 2026

Reference 10

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Observation cb7da9f0-532d-41ca-92cb-fd6f71647e22 · outbound

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

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation OpenVLA: An Open-Source Vision-Language-Action Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 916fb00e-e47a-42f2-ba97-302f237b19f1 · outbound

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

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 404bc3e1-0d7f-40ac-82f8-4ffbe7b651c6 · outbound

This paper cites CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 4390b5dc-dc1d-4b7f-9201-b310a677c1b0 · outbound

This paper cites Unified Video Action Model.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Unified Video Action Model

Reference 14

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Observation 178ff601-9fc6-4c5b-8cfa-38572c73e082 · outbound

This paper cites Vision-Language Foundation Models as Effective Robot Imitators.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Vision-Language Foundation Models as Effective Robot Imitators

Reference 15

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Observation 9a2cf950-4173-4764-8a21-450e6c599a7e · outbound

This paper cites Libero: Benchmarking knowl- edge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, 36:44776–44791, 2023.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Libero: Benchmarking knowl- edge transfer for lifelong robot learning.Advances in Neural Information Processing Systems, 36:44776–44791, 2023

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation e07ef689-6478-439a-8c43-f174fb33f3a1 · outbound

This paper cites OAT: Ordered action tokenization.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation OAT: Ordered action tokenization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation bc8f7130-84a0-4d70-9e1a-6150da353e7a · outbound

This paper cites RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation e81ae49f-3304-431a-972a-898e69b3b2f6 · outbound

This paper cites OmniSAT: Compact action token, faster auto regression.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation OmniSAT: Compact action token, faster auto regression

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 211bd7e6-8c58-4689-bdd0-f80a96e7586f · outbound

This paper cites LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation c6546b72-a60e-487c-b4ed-717ace7b9a4f · outbound

This paper cites CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation b7c4bf15-f5db-4cf4-bd1d-921c6d97e525 · outbound

This paper cites Quest: Self-supervised skill abstractions for learning continuous control.Advances in Neural Infor- mation Processing Systems, 37:4062–4089, 2024.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Quest: Self-supervised skill abstractions for learning continuous control.Advances in Neural Infor- mation Processing Systems, 37:4062–4089, 2024

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation b53e852a-cc33-418f-9093-33602f803903 · outbound

This paper cites Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Open x-embodiment: Robotic learning datasets and rt-x models: Open x-embodiment collaboration 0

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation b0199669-bb27-4b88-b7ac-f7fff6574bd5 · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 37aebe6a-12de-4241-b80f-6e5fd0a2a5b5 · outbound

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

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 907506f5-4f77-4eb6-b087-6d1e26464a59 · outbound

This paper cites Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation af53278b-ad1c-4da5-a739-837d85e49907 · outbound

This paper cites Multimodal diffusion transformer: Learn- ing versatile behavior from multimodal goals.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Multimodal diffusion transformer: Learn- ing versatile behavior from multimodal goals

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 3f1580e0-401a-43d4-81b3-ec35b038bafc · outbound

This paper cites FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 92b58c54-3fb9-49c1-a05e-1a24ddd71d21 · outbound

This paper cites SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Robotics

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation f5bbd30a-8242-4d8d-a658-32abfd66f618 · outbound

This paper cites VLA-JEPA: Enhancing vision- language-action model with latent world model.arXiv preprint arXiv:2602.10098, 2026.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation VLA-JEPA: Enhancing vision- language-action model with latent world model.arXiv preprint arXiv:2602.10098, 2026

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 8884609f-3771-49f7-813a-9d852b7a1754 · outbound

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

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Octo: An Open-Source Generalist Robot Policy

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 88334253-36f0-4cd5-8957-deffb2db9e23 · outbound

This paper cites ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 4cc3bbce-3ca0-4990-94a3-c50fbef011c6 · outbound

This paper cites LatentVLA: Taming latent space for gen- eralizable and long-horizon bimanual manipulation.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation LatentVLA: Taming latent space for gen- eralizable and long-horizon bimanual manipulation

Reference 33

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Observation 64cce292-40e0-4212-8839-749231c2e2d0 · outbound

This paper cites VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation dd5fdb91-58df-4f81-b68d-7b1eaa7275e2 · outbound

This paper cites TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 27f5cfa1-6578-490e-a383-d8b746e2c36b · outbound

This paper cites Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation fc45ba42-4f31-4e73-b8cf-7a211b7c9668 · outbound

This paper cites CoLA-Flow Policy: Temporally Coherent Imitation Learning via Continuous Latent Action Flow Matching for Robotic Manipulation.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation CoLA-Flow Policy: Temporally Coherent Imitation Learning via Continuous Latent Action Flow Matching for Robotic Manipulation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation de5fa1c7-7a08-4726-b55a-37aa99d6610a · outbound

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

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation World Action Models are Zero-shot Policies

Reference 40

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Observation 2c603554-dc5d-42ec-b67e-d94acb299a4d · outbound

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

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Meta- world: A benchmark and evaluation for multi-task and meta reinforcement learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 46a230ca-af49-4cf3-b063-27951df6b53b · outbound

This paper cites DeeR-VLA: Dynamic inference of multimodal large language models for efficient robot execution.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation DeeR-VLA: Dynamic inference of multimodal large language models for efficient robot execution

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation d43fafe8-ceb3-46eb-9fe5-927e1b550746 · outbound

This paper cites Root mean square layer nor- malization.Advances in neural information processing sys- tems, 32, 2019.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Root mean square layer nor- malization.Advances in neural information processing sys- tems, 32, 2019

Reference 43

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Observation 38e5d367-af0e-473e-aa16-66133ab2b48c · outbound

This paper cites VLA-4D: Embedding 4d aware- ness into vision-language-action models for spatiotem- porally coherent robotic manipulation.arXiv preprint arXiv:2511.17199, 2025.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation VLA-4D: Embedding 4d aware- ness into vision-language-action models for spatiotem- porally coherent robotic manipulation.arXiv preprint arXiv:2511.17199, 2025

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 80c233d8-cd6d-4989-8f26-2bd094f78dae · outbound

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

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 8ac0c75c-8930-42e7-93f7-96db0e15e594 · outbound

This paper cites BEAST: Efficient tok- enization of b-splines encoded action sequences for imitation learning.arXiv preprint arXiv:2506.06072, 2025.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation BEAST: Efficient tok- enization of b-splines encoded action sequences for imitation learning.arXiv preprint arXiv:2506.06072, 2025

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation 44455045-da30-4f6a-b80c-787413c5c30f · outbound

This paper cites Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Observation d760468a-f9f5-4236-9cad-5d9fb30556ff · outbound

This paper cites Implementation Details This section provides architecture details and training pro- cedures details across all benchmarks.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Implementation Details This section provides architecture details and training pro- cedures details across all benchmarks

Reference 48

Resolution: malformed identifier; no resolver link, observed 2026-07-14T05:40:47.306935Z

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Pith citing papers

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