Paper Citation Record · LEDGER

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:26:17.660152Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:55:40.358784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-06T19:26:17.660152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 898b5141-124a-41f3-8456-6dccdf659324 · inbound

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

Resolution: unresolved; no resolver link, observed 2026-08-05T16:41:54.320097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

Resolution: unresolved; no resolver link, observed 2026-08-02T23:48:00.200266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:36:10.916898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:34:39.422800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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.