Paper Citation Record · LEDGER

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

As of 15 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 19 inbound Pith citation observations for arXiv:2412.09858.

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

pith.paper-citation-record.v1
2412.09858 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:45:08.340242Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:20:33.558796Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:49:58.308235Z

Reference resolution

38 of 38 outbound references displayed

verified exact2
verified fuzzy9
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9464cbea-e381-424b-84d0-104b0cf6075e · outbound

This paper cites Ball, Laura Smith, Ilya Kostrikov, and Sergey Levine.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Ball, Laura Smith, Ilya Kostrikov, and Sergey Levine

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:45:09.227542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7d00e518-5cb2-4e1b-a6c1-db8b14f8a353 · outbound

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

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.172686Z

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Observation 4d00c172-07b8-4636-b490-b7b01f03a7f9 · outbound

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

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.178444Z

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Observation b6048207-513b-4f7c-a908-5cd37418cd31 · outbound

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

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning RT-1: Robotics Transformer for Real-World Control at Scale

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.183275Z

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Observation 71da2607-7bd9-4001-9cb3-c3a03890cc6a · outbound

This paper cites GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning GR-2: A Generative Video-Language-Action Model with Web-Scale Knowledge for Robot Manipulation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.187972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6376c945-8db7-430e-b11b-0a059467daf1 · outbound

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

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Diffusion Policy: Visuomotor Policy Learning via Action Diffusion

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.192472Z

Source-reported events for the cited work

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Observation ea1759bc-13fe-485e-8584-c0ece27fa990 · outbound

This paper cites an unresolved cited work.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T16:45:09.212538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 56e78ba4-9034-4b60-b157-dcc7cc89dfde · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning PaLM-E: An Embodied Multimodal Language Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.201887Z

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Observation 133ca315-e9c7-4d60-9efc-19a322f7eb0a · outbound

This paper cites Divide-and-Conquer Reinforcement Learning.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Divide-and-Conquer Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.206940Z

Source-reported events for the cited work

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Observation 45ed9d52-e918-4c2c-b326-4a4ab9434c93 · outbound

This paper cites Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, and Sergey Levine.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Zhao, Vikash Kumar, Aaron Rovinsky, Kelvin Xu, Thomas Devlin, and Sergey Levine

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.212255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a8b8572-bddb-4b40-8ab5-48cdc27b8151 · outbound

This paper cites Denoising Diffusion Probabilistic Models.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Denoising Diffusion Probabilistic Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.217077Z

Source-reported events for the cited work

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Observation b5d26e27-f1ce-415f-8192-5c006e478ce5 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:45:09.197288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0dc69b3c-bd94-44e2-bfb6-9bc071348992 · outbound

This paper cites Imitation Bootstrapped Reinforcement Learning.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Imitation Bootstrapped Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.226530Z

Source-reported events for the cited work

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Observation f6908ba4-07c1-41ce-a29b-a19df1ac8849 · outbound

This paper cites REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.231480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65a46871-d05d-4f35-a1c3-019521b0f284 · outbound

This paper cites Residual reinforcement learning for robot control.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Residual reinforcement learning for robot control

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.236377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1a588c8-75f0-4b30-8010-055f4d67368c · outbound

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

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning OpenVLA: An Open-Source Vision-Language-Action Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.241015Z

Source-reported events for the cited work

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Observation 8e58e469-aedd-447a-9037-38d835477199 · outbound

This paper cites Learning neural network policies with guided policy search under unknown dynamics.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Learning neural network policies with guided policy search under unknown dynamics

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:45:09.182494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d5c85c4c-6be1-4d02-a25f-7a66245bdd6e · outbound

This paper cites End-to-end training of deep visuomotor policies.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning End-to-end training of deep visuomotor policies

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:45:09.167150Z

Source-reported events for the cited work

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Observation c12b06fb-1ab1-4016-8a7b-10b941794990 · outbound

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

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning RDT-1B: a Diffusion Foundation Model for Bimanual Manipulation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.254826Z

Source-reported events for the cited work

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Observation b253e2e0-1fc5-4e49-a82d-6f9958016a5f · outbound

This paper cites Deep reinforcement learning for robotic assembly of mixed deformable and rigid objects.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Deep reinforcement learning for robotic assembly of mixed deformable and rigid objects

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:45:09.151743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 92555464-8fc0-4599-9a8b-ab1bfaabdf61 · outbound

This paper cites Reinforcement learning on variable impedance controller for high-precision robotic assembly.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Reinforcement learning on variable impedance controller for high-precision robotic assembly

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:45:09.137689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fa6b2229-d660-429f-bdb8-bb506c4d0fd9 · outbound

This paper cites Robust multi-modal policies for industrial assembly via reinforcement learning and demonstrations: A large-scale study.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Robust multi-modal policies for industrial assembly via reinforcement learning and demonstrations: A large-scale study

Reference 22

Resolution: verified exact; doi, observed 2026-08-11T16:45:08.394314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bad56456-90cb-4b0c-a706-99b789b1f465 · outbound

This paper cites RLIF : Interactive imitation learning as reinforcement learning.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning RLIF : Interactive imitation learning as reinforcement learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:45:09.123237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 38b03238-9dd2-4bce-b499-7e0e6178ffcf · outbound

This paper cites Serl: A software suite for sample-efficient robotic reinforcement learning.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Serl: A software suite for sample-efficient robotic reinforcement learning

Reference 24

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Observation 2d1e1726-17ef-4307-a47f-89c887070c2f · outbound

This paper cites FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.281586Z

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Observation f1e3aadc-b9aa-4feb-82ed-dabeb2145b61 · outbound

This paper cites Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.286467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fd743c9-b787-40de-9d20-290938471e95 · outbound

This paper cites Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.291703Z

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Observation d9bd3708-d93d-46a1-b73f-699fd238c627 · outbound

This paper cites Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Reference 28

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Observation 5c35a80e-161d-4f9b-8c33-529d13c75907 · outbound

This paper cites Learning complex dexterous manipulation with deep reinforcement learning and demonstrations.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Learning complex dexterous manipulation with deep reinforcement learning and demonstrations

Reference 29

Resolution: verified exact; doi, observed 2026-08-11T16:45:08.377828Z

Source-reported events for the cited work

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Observation fd3b14be-c3da-4175-88c6-c592dbe0daee · outbound

This paper cites Policy Distillation.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Policy Distillation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.304458Z

Source-reported events for the cited work

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Observation 9d732340-a4b3-4f62-a2bd-4b3bafde98bf · outbound

This paper cites Progressive neural networks.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Progressive neural networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:45:09.108525Z

Source-reported events for the cited work

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Observation dea355e5-946f-4da3-bdda-a0af9e9b3586 · outbound

This paper cites Deep reinforcement learning for industrial insertion tasks with visual inputs and natural rewards.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Deep reinforcement learning for industrial insertion tasks with visual inputs and natural rewards

Reference 32

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Observation bca4bdb5-3687-4851-ab65-b483ac75c891 · outbound

This paper cites Progress & compress: A scalable framework for continual learning.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Progress & compress: A scalable framework for continual learning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:45:09.093059Z

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Observation 096f0151-ea13-439f-ad17-5b1229f01b79 · outbound

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

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Octo: An Open-Source Generalist Robot Policy

Reference 34

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Observation e9c8f989-c18d-440c-8e3d-26ccbb8333cb · outbound

This paper cites Distral: Robust Multitask Reinforcement Learning.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Distral: Robust Multitask Reinforcement Learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.325750Z

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Observation 7f482e84-dc27-43bc-9efe-f8f676abc1bb · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 36

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Observation 264b91d2-72dc-4855-80c4-7cb63f9888fc · outbound

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

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning TinyVLA: Towards Fast, Data-Efficient Vision-Language-Action Models for Robotic Manipulation

Reference 37

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Observation f25fc5f3-bb27-48ee-9f85-5eefd3aa482b · outbound

This paper cites Zhao, Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Nicolas Heess, Jon Scholz, Stefan Schaal, and Sergey Levine.

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning Zhao, Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Nicolas Heess, Jon Scholz, Stefan Schaal, and Sergey Levine

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T16:45:08.340242Z

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Pith citing papers

Observation 4b34cab0-a854-47b8-b372-e815dbf85c9e · inbound

ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy cites this paper.

ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 6

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Observation 3364acc7-9aa7-4326-8492-fcdad8c6e926 · inbound

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning cites this paper.

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 78

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Observation 360cd47c-54bd-481e-a586-d2ea7a05add6 · inbound

Integrating Diffusion-based Multi-task Learning with Online Reinforcement Learning for Robust Quadruped Robot Control cites this paper.

Integrating Diffusion-based Multi-task Learning with Online Reinforcement Learning for Robust Quadruped Robot Control RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 22

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Arnold: a generalist muscle transformer policy cites this paper.

Arnold: a generalist muscle transformer policy RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 48

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Observation 298d2bfe-c995-4e35-9711-a71c32863790 · inbound

$\pi^{*}_{0.6}$: a VLA That Learns From Experience cites this paper.

$\pi^{*}_{0.6}$: a VLA That Learns From Experience RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:34:59.374709Z

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Observation 1fe7b4aa-83b4-4e27-a0c9-959c76ea977d · inbound

ALOE: Action-Level Off-Policy Evaluation for Vision-Language-Action Model Post-Training cites this paper.

ALOE: Action-Level Off-Policy Evaluation for Vision-Language-Action Model Post-Training RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 51

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Observation a6bac5bf-d19d-453b-b1a2-575a2262b002 · inbound

${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities cites this paper.

${\pi}_{0.7}$: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:45:21.728091Z

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Observation 1a33a8ec-78ce-4ec8-acf0-89a077ad6181 · inbound

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies cites this paper.

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 30

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Observation 8f56a2a4-f713-460f-b1f0-517b52dff45c · inbound

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies cites this paper.

Learning While Deploying: Fleet-Scale Reinforcement Learning for Generalist Robot Policies RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T08:15:32.390805Z

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Observation 6008e264-f2bc-4cc8-b535-58f40c74c76b · inbound

Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning cites this paper.

Multi-Objective Learning for Diffusion Models: A Statistical Theory under Semi-Supervised Learning RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 17

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Observation 17a9adad-e6d9-44dc-9c31-3d559f5d3484 · inbound

Flow-based Policy Adaptation without Policy Updates cites this paper.

Flow-based Policy Adaptation without Policy Updates RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:26:59.171127Z

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Observation 8270259e-b914-4de0-851f-481fa9787007 · inbound

DexPIE: Stable Dexterous Policy Improvement from Real-World Experience cites this paper.

DexPIE: Stable Dexterous Policy Improvement from Real-World Experience RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:07:30.753147Z

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Observation cfbea7c4-f093-4a13-9c56-293551becfd1 · inbound

AllDayNav: Lifelong Navigation via Real-World Reinforcement Learning cites this paper.

AllDayNav: Lifelong Navigation via Real-World Reinforcement Learning RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:07:38.967081Z

Source-reported events for the cited work

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Observation dc49a3a3-079f-48c7-82cc-22ea3731d402 · inbound

Improving Robotic Generalist Policies via Flow Reversal Steering cites this paper.

Improving Robotic Generalist Policies via Flow Reversal Steering RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:48:35.751705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 62d40101-1ed8-4d44-9e87-b271bf9dba30 · inbound

JoyAI-Sim: A Simulation-Enabled Interconversion Toolchain for the Embodied Data Pyramid cites this paper.

JoyAI-Sim: A Simulation-Enabled Interconversion Toolchain for the Embodied Data Pyramid RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T10:34:36.299082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e2a28978-94d0-46ca-aa7e-c48aa2622140 · inbound

Scalable Multi-Task Data Generation via Reinforcement Learning for Language-Conditioned Bimanual Dexterous Manipulation cites this paper.

Scalable Multi-Task Data Generation via Reinforcement Learning for Language-Conditioned Bimanual Dexterous Manipulation RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:19:42.939427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0fb83220-c451-4f5b-8c9c-c6527a00d5d1 · inbound

Scalable Multi-Task Data Generation via Reinforcement Learning for Language-Conditioned Bimanual Dexterous Manipulation cites this paper.

Scalable Multi-Task Data Generation via Reinforcement Learning for Language-Conditioned Bimanual Dexterous Manipulation RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T10:54:36.971120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e64a8b7e-6135-4813-bd8b-490bde4e5899 · inbound

InSight: Self-Guided Skill Acquisition via Steerable VLAs cites this paper.

InSight: Self-Guided Skill Acquisition via Steerable VLAs RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:49:58.309660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6f15f21a-c235-49f2-ad1e-e3fc6bf16095 · inbound

RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation cites this paper.

RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Reference 189

Resolution: unresolved; no resolver link, observed 2026-08-01T14:39:52.278110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.