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Paper Citation Record · LEDGER

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment

As of 9 August 2026, this Paper Citation Record lists 80 of 80 outbound references and 0 inbound Pith citation observations for arXiv:2608.05674.

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

pith.paper-citation-record.v1
2608.05674 v1

Coverage vector

measured 80 of 80 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:20:18.114193Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

80 of 80 outbound references displayed

  • verified exact2
  • verified fuzzy26
  • unresolved52
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation c6d40d33-a36c-48ab-bfdf-20ed7a5b93fa · outbound

This paper cites SemDeDup: Data-efficient learning at web-scale through semantic deduplication.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment SemDeDup: Data-efficient learning at web-scale through semantic deduplication

Reference 1

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source=pdf_text observed=2026-08-08T04:20:17.259542Z digest=sha256:55b6ee168a7f6856edff7eec54c559d8b714f71c616962123d98dedc4595877f

Observation ffb24185-2136-4dfd-90b5-17f10d2c9957 · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

Reference 2

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source=pdf_text observed=2026-08-08T04:20:17.265573Z digest=sha256:d451be01ea5f487d42ddf4aab6e09716eee3e246305e7a5ca0db983617e864a0

Observation 721ae9f4-4df6-461b-bbbb-6b0262e2bf3c · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 3

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source=pdf_text observed=2026-08-08T04:20:17.292790Z digest=sha256:c38137d66c9d25204902f76d100926012819597e5cd9456b4b7a8f34509fe359

Observation 8a46947c-82bf-44e0-bfea-ad0cb5565f05 · outbound

This paper cites Motus: A Unified Latent Action World Model.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Motus: A Unified Latent Action World Model

Reference 4

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source=pdf_text observed=2026-08-08T04:20:17.319779Z digest=sha256:7b155d3c37e89051b83ccdbcd54c92a00dabd7ea1b98eaaef81f7400440c6a51

Observation 13f8b882-044e-4d1b-bfff-6d8f5828e5b0 · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

Reference 5

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source=pdf_text observed=2026-08-08T04:20:17.347473Z digest=sha256:801a0ad6144427c50ca3fe717c2a4b0120800d92920f6892fe70129f5b70d160

Observation 8ae98c6b-2744-47e9-b1ee-28f53e4b4286 · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 6

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source=pdf_text observed=2026-08-08T04:20:17.376394Z digest=sha256:835bdbbf1ca87a9073ab9c36d26ef78ddf11c8fc203fde6947f5af2ba39a9fbe

Observation 9c32cd87-1cab-4c45-bd17-7cc9dfc3c558 · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment RT-1: Robotics Transformer for Real-World Control at Scale

Reference 7

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source=pdf_text observed=2026-08-08T04:20:17.405321Z digest=sha256:79e7be31e13555e66d3c4ef455adb7cf9014c85e1b8c37ca2f9365226bf26642

Observation 24670e7b-91a9-43a3-86c4-e3b244b8d6ca · outbound

This paper cites Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, et al.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, et al

Reference 8

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source=pdf_text observed=2026-08-08T04:20:17.410700Z digest=sha256:b3c9bc691066ffbeb7f56c4305ac18d45fd41d15ea9310b6d2e80a14710534b3

Observation 31f4f47e-a8c3-41bc-bf7b-724a234e8249 · outbound

This paper cites UniVLA: Learning to Act Anywhere with Task-centric Latent Actions.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

Reference 9

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source=pdf_text observed=2026-08-08T04:20:17.415546Z digest=sha256:ba599be27494a10b96f7bcd09874e6c843bf299ed23bb0f00a06cf389ef93c1c

Observation b73ea498-3bb7-43f4-930f-b8fc3c3e2dc3 · outbound

This paper cites Egocentric-100k, 2025.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Egocentric-100k, 2025

Reference 10

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source=pdf_text observed=2026-08-08T04:20:17.421097Z digest=sha256:27bede169d2a3b70765e52e973427df4872b8da65d0609f701d64b8dd12d2957

Observation aa93645c-2c4f-454d-b981-b08171337661 · outbound

This paper cites Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam.IEEE transactions on robotics, 37(6): 1874–1890, 2021.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Orb-slam3: An accurate open-source library for visual, visual–inertial, and multimap slam.IEEE transactions on robotics, 37(6): 1874–1890, 2021

Reference 11

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source=pdf_text observed=2026-08-08T04:20:17.425782Z digest=sha256:8dd7bcc896ecae9ec5783999adc4e22af1dd635509b086bb6cc4894e2eb9a1fd

Observation 8f1b3314-28cd-4af7-ad0c-390c3519f802 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Emerging properties in self-supervised vision transformers

Reference 12

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source=pdf_text observed=2026-08-08T04:20:17.430562Z digest=sha256:9d9af7531c5ac048bdc7c244857e5cff0a1e79fa76fbe93451ac1373fd0a1518

Observation 80515d3a-d747-4831-a1b6-a5338f3a7438 · outbound

This paper cites WorldVLA: Towards Autoregressive Action World Model.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment WorldVLA: Towards Autoregressive Action World Model

Reference 13

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source=pdf_text observed=2026-08-08T04:20:17.435194Z digest=sha256:ca00abea4b8bfc29af1658389d78cc0f8acfbfa402273288afe67e066436b893

Observation 716aa8d5-1370-4c20-8bb7-a0f5b4d68207 · outbound

This paper cites Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting

Reference 14

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source=pdf_text observed=2026-08-08T04:20:17.440001Z digest=sha256:c619a3a5a3fb2403ec4003301d2701602068987a2509fc5b4630a440b7ea9772

Observation 91ac49c7-f39c-4284-a055-45e07e72874f · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Moto: Latent motion token as the bridging language for learning robot manipulation from videos

Reference 15

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source=pdf_text observed=2026-08-08T04:20:17.444923Z digest=sha256:4d297b970400925397cee84e9907849bfa672a6aaf415a353de31e45aebdee1e

Observation ee7d9eb6-1138-4f80-b461-5e64528d49d3 · outbound

This paper cites Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100.International Journal of Computer Vision, 130:33–55, 2022.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100.International Journal of Computer Vision, 130:33–55, 2022

Reference 16

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source=pdf_text observed=2026-08-08T04:20:17.449306Z digest=sha256:6d7884c2e2fbda4bf70a20ee9677568e78ded390c7b51dd7167b0db3b8131ceb

Observation 645db272-770a-4ebe-8f57-0426f8644a29 · outbound

This paper cites Video language planning.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Video language planning

Reference 17

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source=pdf_text observed=2026-08-08T04:20:17.454126Z digest=sha256:5bb49a129cc0fd77974e2f647558d88097f3e131bc0fcbbb52b2bcd0f6264c0a

Observation f0b5aba7-c0a0-46ac-b429-ae57247c91a0 · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

Reference 18

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source=pdf_text observed=2026-08-08T04:20:17.459118Z digest=sha256:0f2228a20eb97c62b6c6e8b43cd2a61a277d7baa06bb1d727dee66bf304fa511

Observation 8de8c896-699d-405d-8c7a-d2b608ad8e81 · outbound

This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Ego4d: Around the world in 3,000 hours of egocentric video

Reference 19

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source=pdf_text observed=2026-08-08T04:20:17.463745Z digest=sha256:18e42ea28565376744ad8daed9e15038e3613d389330292827eff80c770e5574

Observation 11a84cdf-8427-4d45-bacd-aed56f77fb31 · outbound

This paper cites Ego-exo4d: Un- derstanding skilled human activity from first- and third-person perspectives.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Ego-exo4d: Un- derstanding skilled human activity from first- and third-person perspectives

Reference 20

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source=pdf_text observed=2026-08-08T04:20:17.468217Z digest=sha256:3a11693174382011126dc33625e8276acd9015468d5c7e02c278b195273573e4

Observation 806eb031-ca14-46bd-9f85-a381988c4673 · outbound

This paper cites Prediction with action: Visual policy learning via joint denoising process.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Prediction with action: Visual policy learning via joint denoising process

Reference 21

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source=pdf_text observed=2026-08-08T04:20:17.472516Z digest=sha256:dc6f76eebccd8c7d0f8be5e3b09e9349025d20a8edd97240b1b96d1012000e42

Observation f6bf58b0-c10d-4373-8062-2a1f7f34cecf · outbound

This paper cites Mastering Diverse Domains through World Models.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Mastering Diverse Domains through World Models

Reference 22

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source=pdf_text observed=2026-08-08T04:20:17.476950Z digest=sha256:c91819b3b5531536ce89319e81e83d7f7b5a1ad78b356877615d73955ed6fe8e

Observation 90851362-bed0-4675-8750-10ce35cd6849 · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video

Reference 23

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source=pdf_text observed=2026-08-08T04:20:17.481561Z digest=sha256:44ad18b7c5cd0a5048c22c3a4607a55315ccf147bbe78d3c223dd0e536ee23fb

Observation dc57ed6d-da16-499a-aa25-91ec782c4dcd · outbound

This paper cites Robomind 2.0: A multimodal, bimanual mobile manipulation dataset for generalizable embodied intelligence.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Robomind 2.0: A multimodal, bimanual mobile manipulation dataset for generalizable embodied intelligence

Reference 24

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source=pdf_text observed=2026-08-08T04:20:17.486347Z digest=sha256:924a543a610026ce55cb801b9b2de10731a21e93b453c4085c820e37f212b68c

Observation 3d33ec86-7bfb-4347-8b68-057949a39568 · outbound

This paper cites Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Reference 25

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source=pdf_text observed=2026-08-08T04:20:17.490892Z digest=sha256:69d4e84ad02836488c07b9694ab9ad823a8ecd1e64715592e9b72269b901e552

Observation e334248f-1372-41be-af1f-6fa9c549d859 · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization

Reference 26

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source=pdf_text observed=2026-08-08T04:20:17.512801Z digest=sha256:69398162f4329142d8be79db202ab8e6c576b2ea3ed4f61797833f664b9da484

Observation 6612c5d9-83e5-4945-befc-b98369cddf28 · outbound

This paper cites Interndata-m1.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Interndata-m1

Reference 27

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source=pdf_text observed=2026-08-08T04:20:17.540722Z digest=sha256:a31577f5f08b279bf1cc2358afa6455ee5551fab5e5b4ee612b322f992f06b2e

Observation ef19f389-1546-4e98-9d15-fcb6ad89c383 · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment OpenVLA: An Open-Source Vision-Language-Action Model

Reference 29

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source=pdf_text observed=2026-08-08T04:20:17.589345Z digest=sha256:3c88acc2069501495a5266614a5b2cf98cf8058ef2504207a186c3cd02e4dde7

Observation 92148372-c732-448c-b85c-e6a1223c8fd8 · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning

Reference 30

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source=pdf_text observed=2026-08-08T04:20:17.617524Z digest=sha256:0339b6761ab0880c4c93b71973a4979ed85c56fc5538424426a4a73716454c57

Observation cc64ec47-9b59-422a-aee2-8170062b3ef7 · outbound

This paper cites Learning to act from actionless videos through dense correspondences.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Learning to act from actionless videos through dense correspondences

Reference 31

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source=pdf_text observed=2026-08-08T04:20:17.648052Z digest=sha256:0fb76e450c8def7bf8ee3b1e1ff55c378749202328e8d3d0c50a670b6fbf9279

Observation 9ab5775e-274d-45e6-84fa-4d69846f5fc1 · outbound

This paper cites Learning from the Best: Smoothness-Driven Metrics for Data Quality in Imitation Learning.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Learning from the Best: Smoothness-Driven Metrics for Data Quality in Imitation Learning

Reference 32

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source=pdf_text observed=2026-08-08T04:20:17.664691Z digest=sha256:76700a5a997e389d20fecbc6f6d73575801c7259db22dc32c42aff61032bd372

Observation ee262e71-8c00-4974-941b-56bd4f637e34 · outbound

This paper cites Let-base-dataset.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Let-base-dataset

Reference 33

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source=pdf_text observed=2026-08-08T04:20:17.669540Z digest=sha256:cc90c0f7a74821d202ae04213baea23a29cd521b3943c607dbeeb8cc153d0470

Observation ba2db704-6b9c-4731-a224-7c7b96626094 · outbound

This paper cites Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation

Reference 34

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source=pdf_text observed=2026-08-08T04:20:17.674095Z digest=sha256:1f5428b0d361a4888b2ef1ed347488ab5bb24db0c978bb5098b2b7cde9d160c7

Observation f51fd8b7-e43a-4063-8dac-8644d6c42c76 · outbound

This paper cites Causal World Modeling for Robot Control.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Causal World Modeling for Robot Control

Reference 35

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source=pdf_text observed=2026-08-08T04:20:17.678978Z digest=sha256:2896245a5859d72c17503bba3d38026f0488d913d18d325f67f5c109b4a18ae3

Observation 03893cec-0a12-4e22-b1eb-b4ace11a6aad · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:20:17.684378Z digest=sha256:3f5f172f5306bb27b7af035ce3316a5b078374e0c437bae8ebe7b8a07397e772

Observation bbc9aa23-ba79-4b69-8162-e900abd766c9 · outbound

This paper cites Hamster: Hierarchical action models for open-world robot manipulation.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Hamster: Hierarchical action models for open-world robot manipulation

Reference 37

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raw_fallback, observed 2026-08-08T04:20:19.423118Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:17.689247Z digest=sha256:2ae09ff4f68965126545d87f56601f6725b8ad37e92a6c0b4a5e680d4610ce75

Observation 73948b7d-7fdd-43fc-9723-f33f793faca5 · outbound

This paper cites EgoLive: A Large-Scale Egocentric Dataset from Real-World Human Tasks.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment EgoLive: A Large-Scale Egocentric Dataset from Real-World Human Tasks

Reference 38

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source=pdf_text observed=2026-08-08T04:20:17.693692Z digest=sha256:0091ab642a50b0e90783b7a9b0614ee91ad05d2a35bb7791f8b37447514d341a

Observation 7b4f74ba-1b1a-44e1-88e8-3c2f236b46ba · outbound

This paper cites CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations

Reference 39

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source=pdf_text observed=2026-08-08T04:20:17.698342Z digest=sha256:af86a9347831678ab8941d4e01fbd1cbf12de6c492dcdb227c4719f39c7d7bfc

Observation ed480fc6-81e9-41c0-a127-6500b714971a · outbound

This paper cites Flow Matching for Generative Modeling.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Flow Matching for Generative Modeling

Reference 40

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source=pdf_text observed=2026-08-08T04:20:17.702672Z digest=sha256:848b13700fc44ad479ddd336d10b61f8cd9c84a715a20941ae7679fc06a12796

Observation 13de0e7e-4ccc-4bd0-bbfc-316db8033c25 · outbound

This paper cites LARA: Latent Action Representation Alignment for Vision-Language-Action Models.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment LARA: Latent Action Representation Alignment for Vision-Language-Action Models

Reference 41

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source=pdf_text observed=2026-08-08T04:20:17.707960Z digest=sha256:099728001e126d43614c8a244d997fc8315a72b8f6bf4c1acfca493e9aa2f15e

Observation 745ce748-b8d5-4ec5-b900-cf7f1d14e9c5 · outbound

This paper cites LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion

Reference 42

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source=pdf_text observed=2026-08-08T04:20:17.713043Z digest=sha256:b1655522487995e483e2b5a266fa7110dda6b48769921712ad2c63fc30a2f030

Observation bc3d9c78-2cd5-4b53-9a4c-1cecfb258ddb · outbound

This paper cites Unifying perception and action: A hybrid- modality pipeline with implicit visual chain-of-thought for robotic action generation.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Unifying perception and action: A hybrid- modality pipeline with implicit visual chain-of-thought for robotic action generation

Reference 43

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raw_fallback, observed 2026-08-08T04:20:19.408442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:17.717794Z digest=sha256:92eaefcf364d955b5ac5f5d41a529dd3acc1ae34e8c7b1b29896cc53b897268d

Observation 67d6486f-d4e1-4932-bd3d-51e284061543 · outbound

This paper cites Latent Action Learning Requires Supervision in the Presence of Distractors.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Latent Action Learning Requires Supervision in the Presence of Distractors

Reference 44

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source=pdf_text observed=2026-08-08T04:20:17.721810Z digest=sha256:db8bc3982ffc1e3ab2a0f67df4d67f6f524e1488ac887708c4dc6e2479ad3cd0

Observation c60be46d-ef60-4bb0-9bfe-b0fcc6a8cd73 · outbound

This paper cites Cosmos-embed1: A joint video-text embedder for physical ai, 2025.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Cosmos-embed1: A joint video-text embedder for physical ai, 2025

Reference 45

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raw_fallback, observed 2026-08-08T04:20:19.393027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:17.726667Z digest=sha256:c17aac3affae68884588490decf98b700ea8d7c2e46ad50e2e53c24344b2ca77

Observation 80cb2622-d304-4db9-9a44-f4131d897aa1 · outbound

This paper cites Baihu dataset.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Baihu dataset

Reference 46

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raw_fallback, observed 2026-08-08T04:20:19.377284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:17.731387Z digest=sha256:d287f9394008cd8e5c2bc1fb7986cecf2cad3ba79728b422fe2f4625d653e3fa

Observation 1f61b309-80d9-4290-9ca4-723161c95eca · outbound

This paper cites mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs

Reference 47

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source=pdf_text observed=2026-08-08T04:20:17.735904Z digest=sha256:ba3966a95255065b3cba893d5d62e43606e2b5952bba935abf4d54efa8853c7d

Observation 0a76d984-57a8-4cc9-b325-ca2139ae8ddc · outbound

This paper cites Reconstructing hands in 3d with transformers.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Reconstructing hands in 3d with transformers

Reference 48

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source=pdf_text observed=2026-08-08T04:20:17.740500Z digest=sha256:d633479308f6eeef29a6634f7881eccbc165673ea0b114b2070849b4a77ff5f3

Observation 7c76b65f-ff59-42b9-9ba4-09eef952411d · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 49

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source=pdf_text observed=2026-08-08T04:20:17.745291Z digest=sha256:5b756f891c4a7c6d434fa7f97e976188a246ae4fa91590942f3302e422f92912

Observation 7ea55de1-9e25-4592-918e-5463672ec670 · outbound

This paper cites EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment EgoVerse: An Egocentric Human Dataset for Robot Learning from Around the World

Reference 50

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source=pdf_text observed=2026-08-08T04:20:17.749807Z digest=sha256:1a7ed3ef5eba8a113f8d95cbd0618b5b52cfd2b32320576a95402b8864dc4d59

Observation 4cb9c265-bc4e-4f9d-bec3-23bfec796d23 · outbound

This paper cites Embodied Hands: Modeling and Capturing Hands and Bodies Together.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Embodied Hands: Modeling and Capturing Hands and Bodies Together

Reference 51

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source=pdf_text observed=2026-08-08T04:20:17.754322Z digest=sha256:fcc66b8657b3ee1de007221a8570d2dbee22a4b7f1f5cfd93ccf4ab752f99970

Observation bfcce5ac-aa81-4693-a97c-b6043d703c47 · outbound

This paper cites Xperience-10m: A large-scale egocentric multimodal dataset with structured 3d/4d annotations, 2026.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Xperience-10m: A large-scale egocentric multimodal dataset with structured 3d/4d annotations, 2026

Reference 52

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raw_fallback, observed 2026-08-08T04:20:19.351131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:17.782938Z digest=sha256:d95fe0b6c43dfdc8fa22e1d227c0a9cad340fc4ba6d263f251bcc2b52a2a50b6

Observation c4e4ba20-cd19-447b-8044-7863649f348a · outbound

This paper cites An Efficient Metric for Data Quality Measurement in Imitation Learning.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment An Efficient Metric for Data Quality Measurement in Imitation Learning

Reference 53

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verified exact
local_arxiv, observed 2026-08-08T04:20:18.595098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:17.811009Z digest=sha256:bb44187d1eeae21fa0d7fda70a0c9b31e06136e7da07213f45779719113fe606

Observation 49364af1-a6d4-452d-8c19-456d3b749db8 · outbound

This paper cites Emma-x: An embodied multimodal action model with grounded chain of thought and look-ahead spatial reasoning.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Emma-x: An embodied multimodal action model with grounded chain of thought and look-ahead spatial reasoning

Reference 54

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raw_fallback, observed 2026-08-08T04:20:19.334060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:17.854766Z digest=sha256:04603cc934ed87b194cf40a1fa5292d1ea27f338b3944c1ed78b75eb52fe7929

Observation 2e5c3cd3-caf2-4afa-b41b-067b9a6ea88b · outbound

This paper cites Galaxea g0.5 technical report.arxiv, 2026.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Galaxea g0.5 technical report.arxiv, 2026

Reference 55

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raw_fallback, observed 2026-08-08T04:20:19.318339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:17.868299Z digest=sha256:66444ac92dfeb5d80e0db7844cdb493a3ad48baaa1d4a95fbbd0aaf347cd3bfd

Observation 4d62c81b-731e-4fd1-bafd-25ad225d4eb2 · outbound

This paper cites Motubrain: An Advanced World Action Model for Robot Control.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Motubrain: An Advanced World Action Model for Robot Control

Reference 56

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source=pdf_text observed=2026-08-08T04:20:17.873076Z digest=sha256:1ed5184854b98ae722fe172dedd536ffa5a7133b436fb3586bf0dc6c9f269196

Observation d2755c85-91b4-40fb-ac52-1677357c9d8d · outbound

This paper cites Predictive in- verse dynamics models are scalable learners for robotic manipulation.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Predictive in- verse dynamics models are scalable learners for robotic manipulation

Reference 57

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verified fuzzy
raw_fallback, observed 2026-08-08T04:20:19.302893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:17.878492Z digest=sha256:58297a6ee79a07c947602440b049ae60d6c0dfd2a864c33f40c1ff8d772d5563

Observation 99637964-6c58-47f5-98f7-218681273eae · outbound

This paper cites Interndata-a1: Pioneering high-fidelity synthetic data for pre-training generalist policy.arXiv preprint arXiv:2511.16651, 2025.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Interndata-a1: Pioneering high-fidelity synthetic data for pre-training generalist policy.arXiv preprint arXiv:2511.16651, 2025

Reference 58

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source=pdf_text observed=2026-08-08T04:20:17.883021Z digest=sha256:84211b1655c3276d783e939bcc9c31507ff48eb0941cbeb138c3f18b1ee9de94

Observation 60678bf3-db2a-423d-8762-9066059d9dec · outbound

This paper cites Vggt: Visual geometry grounded transformer.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Vggt: Visual geometry grounded transformer

Reference 59

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raw_fallback, observed 2026-08-08T04:20:19.287600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:17.887745Z digest=sha256:1fb16d0f495932b466167c53587f3c97994f1b9b0580c5006e9a9e4e6d63fc80

Observation 8edb9feb-10ab-4b9b-88a5-b499a8ed7b6d · outbound

This paper cites Scaling proprioceptive-visual learning with heterogeneous pre-trained transformers.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Scaling proprioceptive-visual learning with heterogeneous pre-trained transformers

Reference 60

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raw_fallback, observed 2026-08-08T04:20:19.271822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:17.892249Z digest=sha256:3f455cc1684d0a27a83a37f1abb14a55e031f01e7f7ab10c89a2396ab301341a

Observation 40fb96b1-1180-4285-9095-e64b55b5f79a · outbound

This paper cites Vq-vla: Improving vision-language-action models via scaling vector-quantized action tokenizers.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Vq-vla: Improving vision-language-action models via scaling vector-quantized action tokenizers

Reference 61

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source=pdf_text observed=2026-08-08T04:20:17.896725Z digest=sha256:cba2233c56ffe62d41f7637a4ae0be454c578e4004d7188daf202920875210d4

Observation 8480c661-946f-4c66-9deb-eb5acb8461be · outbound

This paper cites Humanego: Zero-shot robot learning from minutes of human egocentric videos.arXiv e-prints, pages arXiv–2605, 2026.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Humanego: Zero-shot robot learning from minutes of human egocentric videos.arXiv e-prints, pages arXiv–2605, 2026

Reference 62

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raw_fallback, observed 2026-08-08T04:20:19.247523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:17.901082Z digest=sha256:dadb4abad9ecf9750a4891ae9154b9f93c768238494e4facb7bed1e0ba70034e

Observation 918693b3-e914-4992-9693-0fae7c5b7e5b · outbound

This paper cites RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation

Reference 63

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source=pdf_text observed=2026-08-08T04:20:17.905555Z digest=sha256:1ff17d7519dffcc7393173bcb0eccd99d85cc36a5b7781e429d361197b91e9c1

Observation 6e59e679-5677-4692-ab51-6814aaf0aa31 · outbound

This paper cites RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation

Reference 64

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source=pdf_text observed=2026-08-08T04:20:17.918768Z digest=sha256:d2187f3cacbda14efd514cfd8f1a5ae492ad2b182a8502e89c0d6fd25f844491

Observation 1d31e7d4-fdaa-4e38-98b1-9e465cf63053 · outbound

This paper cites RL Token: Bootstrapping Online RL with Vision-Language-Action Models.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment RL Token: Bootstrapping Online RL with Vision-Language-Action Models

Reference 65

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source=pdf_text observed=2026-08-08T04:20:17.942358Z digest=sha256:9ab7c0007796ea7c00766e3c9e739cf6cd0b631184d413a152acd8b897dbbd62

Observation 9addfd48-b0ce-41fd-a3a5-b9b61e6268fd · outbound

This paper cites Gigaworld-policy: An efficient action-centered world–action model.arXiv preprint arXiv:2603.17240, 2026.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Gigaworld-policy: An efficient action-centered world–action model.arXiv preprint arXiv:2603.17240, 2026

Reference 66

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source=pdf_text observed=2026-08-08T04:20:17.999798Z digest=sha256:772815669c50c1cee5d6baafd3c24f68799cb9d6576b3985bb0934a9585177bc

Observation cc4d0f29-1699-4bc0-901b-915f80d7efb2 · outbound

This paper cites Latent action pretraining from videos.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Latent action pretraining from videos

Reference 67

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verified fuzzy
raw_fallback, observed 2026-08-08T04:20:19.232813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:18.025997Z digest=sha256:e492c39d08e771e02c8c699b5211e2be343522332cfbdcd9d1243f491f168cac

Observation d7de02df-bdd7-4815-90b2-6a59d65b697e · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment World Action Models are Zero-shot Policies

Reference 68

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source=pdf_text observed=2026-08-08T04:20:18.032859Z digest=sha256:2592e9522553a6c909e47de4fb1132682da314a504912d68e386f1eaf5f19f5e

Observation 6127a04d-15b7-48aa-8494-b37d76481408 · outbound

This paper cites Genie Sim 3.0 : A High-Fidelity Comprehensive Simulation Platform for Humanoid Robot.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Genie Sim 3.0 : A High-Fidelity Comprehensive Simulation Platform for Humanoid Robot

Reference 69

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:20:18.038905Z digest=sha256:fd3d878836d35987d56d6b511cec9196a45dd1626c6c998df031635cb7603f67

Observation 2725f2c2-eb14-403b-843d-87eb122cc2a1 · outbound

This paper cites Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Qwen-RobotManip Technical Report: Alignment Unlocks Scale for Robotic Manipulation Foundation Models

Reference 70

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:20:18.044437Z digest=sha256:c3b3e407d752b92f8ad39ae5e271f67bc5efd286d1a134ea608ef560f18fbd8f

Observation 8fcfa032-8c04-4f04-b209-ca046708bcbe · outbound

This paper cites Fast-WAM: Do World Action Models Need Test-time Future Imagination?.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Fast-WAM: Do World Action Models Need Test-time Future Imagination?

Reference 71

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unresolved
no resolver link, observed 2026-08-08T04:20:18.049955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:20:18.049955Z digest=sha256:cbc5fabdbe8514a5f612e9f1f71cfdee2dfe71e5023ba040a6c8059ff272b4b2

Observation f216a178-9176-4952-8d7d-dde9833a9aff · outbound

This paper cites Robotic Control via Embodied Chain-of-Thought Reasoning.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Robotic Control via Embodied Chain-of-Thought Reasoning

Reference 72

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unresolved
no resolver link, observed 2026-08-08T04:20:18.055631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:20:18.055631Z digest=sha256:94720b76657237a96eddff0cc078660ebbc01e0a0a7f938c2413c8a142afe37f

Observation 3a61dded-a74b-4058-9477-5707da93762b · outbound

This paper cites Atomicvla: Unlocking the potential of atomic skill learning in robots, 2026.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Atomicvla: Unlocking the potential of atomic skill learning in robots, 2026

Reference 73

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unresolved
no resolver link, observed 2026-08-08T04:20:18.061102Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:20:18.061102Z digest=sha256:f035426f59a891f7f7c18abbe4a43f08f0bd92b396141c3b5bf089f1e281a21f

Observation 3905c5e6-cfc9-4635-955a-e431ed44d0ed · outbound

This paper cites Efros, Eli Shechtman, and Oliver Wang.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Efros, Eli Shechtman, and Oliver Wang

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:20:19.218191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:18.066384Z digest=sha256:3e06364d20f3d85f00fe55029673e483eea43b3dfcb6367970c1309168fd5776

Observation d3a32a04-3acf-40dc-8994-f45e6dcb8493 · outbound

This paper cites JoyAI-RA 0.1: A Foundation Model for Robotic Autonomy.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment JoyAI-RA 0.1: A Foundation Model for Robotic Autonomy

Reference 75

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no resolver link, observed 2026-08-08T04:20:18.073152Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:20:18.073152Z digest=sha256:9813253b879a232761822cac9075323bb874e9595024c4991475205a3feae809

Observation fb08cb4e-37ef-4f48-a50d-bd418300f58e · outbound

This paper cites Dreamvla: a vision-language-action model dreamed with comprehensive world knowledge.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Dreamvla: a vision-language-action model dreamed with comprehensive world knowledge

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:20:19.202799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:18.089381Z digest=sha256:79f167b2c1de294f2be2f0ed241d7ce3253e2c1d97b421d54d4e1bce144fee05

Observation 48253b1d-1e8b-4b68-a2bb-934fbdffb6f7 · outbound

This paper cites Cot-vla: Visual chain-of-thought reasoning for vision-language-action models.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Cot-vla: Visual chain-of-thought reasoning for vision-language-action models

Reference 77

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no resolver link, observed 2026-08-08T04:20:18.097497Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T04:20:18.097497Z digest=sha256:ee338abc1460566c5aaa7792cf0601907ad7ce9c1cd05bfb64939feeb3542443

Observation 21289431-3773-4879-9487-34d3f0d6fbbe · outbound

This paper cites Sim2real vla: Zero-shot generalization of synthesized skills to realistic manipulation.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Sim2real vla: Zero-shot generalization of synthesized skills to realistic manipulation

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:20:19.177763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:18.103196Z digest=sha256:a52b0d308f318271d553ec96104df844088d6f5ebbc55b05061bc19815cf19de

Observation 0b821915-bf46-41c2-8330-6e208628e715 · outbound

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

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

Reference 79

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unresolved
no resolver link, observed 2026-08-08T04:20:18.108528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:20:18.108528Z digest=sha256:8129c0203e7b5af88e2f4148e28d3f6f431089ed931a760abae8992e5cc06fbc

Observation ba009782-44f6-47f2-80f5-d6289af2b4da · outbound

This paper cites Rt-2: Vision-language-action models transfer web knowledge to robotic control.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Rt-2: Vision-language-action models transfer web knowledge to robotic control

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T04:20:19.161758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T04:20:18.114193Z digest=sha256:adf27179e1934bf3a466df4924ccfe011ac4c9936246fb6e9aff431aacc041e2

Observation 2441a3d6-23f3-4a82-99cc-c6675b880936 · outbound

This paper cites Galaxea Open-World Dataset and G0 Dual-System VLA Model.

JoyAI-RA 0.5: Scaling Robot Manipulation Learning via Dual Action Alignment Galaxea Open-World Dataset and G0 Dual-System VLA Model

Reference 2025

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unresolved
no resolver link, observed 2026-08-08T04:20:17.578972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:20:17.578972Z digest=sha256:8a012451a83c0ab8e93dde03a838ba8ed62261372b6ae98d4fe27605eb31027e

Pith citing papers

No inbound Pith citation observations are available.