Paper Citation Record · LEDGER

Residual Reinforcement Learning for Robot Control

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:1812.03201.

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

pith.paper-citation-record.v1
1812.03201 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:14:54.312313Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T11:39:46.881274Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7cbfcf38-225d-4b6b-86dd-a8881ceed2c1 · inbound

A Comparison of Action Spaces for Learning Manipulation Tasks cites this paper.

A Comparison of Action Spaces for Learning Manipulation Tasks Residual Reinforcement Learning for Robot Control

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T11:35:46.497355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7119433e-63c7-4298-b95b-6aefad78ae80 · inbound

Dynamic Action Interpolation: A Universal Approach for Accelerating Reinforcement Learning with Expert Guidance cites this paper.

Dynamic Action Interpolation: A Universal Approach for Accelerating Reinforcement Learning with Expert Guidance Residual Reinforcement Learning for Robot Control

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:14:54.312313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ce3016e-b097-4050-92bf-5297e3ec3799 · inbound

Gray-Box Computed Torque Control for Differential-Drive Mobile Robot Tracking cites this paper.

Gray-Box Computed Torque Control for Differential-Drive Mobile Robot Tracking Residual Reinforcement Learning for Robot Control

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T13:31:27.531515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1f749c5-d387-44fe-83df-a196f3fa2d02 · inbound

HandelBot: Real-World Piano Playing via Fast Adaptation of Dexterous Robot Policies cites this paper.

HandelBot: Real-World Piano Playing via Fast Adaptation of Dexterous Robot Policies Residual Reinforcement Learning for Robot Control

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-15T11:49:58.839323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 60af5cfe-a0dd-4186-a658-502e982feb52 · inbound

HandelBot: Real-World Piano Playing via Fast Adaptation of Dexterous Robot Policies cites this paper.

HandelBot: Real-World Piano Playing via Fast Adaptation of Dexterous Robot Policies Residual Reinforcement Learning for Robot Control

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-05-21T11:55:04.216099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 234ac503-a19e-45c7-9930-6f19e4ce2861 · inbound

CoRMA: Contrastive RMA for Contact-Rich Meta-Adaptation cites this paper.

CoRMA: Contrastive RMA for Contact-Rich Meta-Adaptation Residual Reinforcement Learning for Robot Control

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-22T05:41:08.548801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9541a2f8-49ec-46b3-ac82-f0ac0fe5695b · inbound

CoRMA: Contrastive RMA for Contact-Rich Meta-Adaptation cites this paper.

CoRMA: Contrastive RMA for Contact-Rich Meta-Adaptation Residual Reinforcement Learning for Robot Control

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-06-30T16:54:57.936474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9cba8f6-dd07-489d-bb94-55d0fe0ea713 · inbound

Application of Reinforcement Learning for Multigroup Energy Grid Optimization for Neutron Transport Criticality Problems cites this paper.

Application of Reinforcement Learning for Multigroup Energy Grid Optimization for Neutron Transport Criticality Problems Residual Reinforcement Learning for Robot Control

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-06-29T09:53:17.539724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bebe6664-399a-4ba9-b720-4dff9787566e · inbound

An Agency-Transferring Model-Free Policy Enhancement Technique cites this paper.

An Agency-Transferring Model-Free Policy Enhancement Technique Residual Reinforcement Learning for Robot Control

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-03T00:27:29.870338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3761bc26-95ef-42b8-b939-6853d3dcc301 · inbound

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

Improving Robotic Generalist Policies via Flow Reversal Steering Residual Reinforcement Learning for Robot Control

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-07-03T15:48:35.768547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c11115b6-9542-46fe-a824-fa97fed4c48e · inbound

Learning Process Rewards via Success Visitation Matching for Efficient RL cites this paper.

Learning Process Rewards via Success Visitation Matching for Efficient RL Residual Reinforcement Learning for Robot Control

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-04T09:59:44.446333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e8529928-3a4f-42e9-8364-524f5585d5f5 · inbound

Enforcing Human-like Kinematics in Dexterous Piano Playing via Adversarial Posture Regularization cites this paper.

Enforcing Human-like Kinematics in Dexterous Piano Playing via Adversarial Posture Regularization Residual Reinforcement Learning for Robot Control

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-04T11:39:46.882694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d08ac51b-1aec-47fe-9596-488bcd4bbe77 · inbound

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies cites this paper.

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies Residual Reinforcement Learning for Robot Control

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-07-03T11:58:05.715130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1fa53bb1-1a65-4934-a5ca-9dbd428d84a3 · inbound

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies cites this paper.

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies Residual Reinforcement Learning for Robot Control

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-12T08:26:59.428524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20293ff1-8855-489a-8e40-1989dc659d38 · inbound

FlowDAgger: Human-in-the-Loop Adaptation of Generative Robot Policies in Latent Space cites this paper.

FlowDAgger: Human-in-the-Loop Adaptation of Generative Robot Policies in Latent Space Residual Reinforcement Learning for Robot Control

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T06:05:18.192691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 552d55ff-da37-46a2-9d0d-199328349152 · inbound

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC cites this paper.

RAVEN: Reinforcement-Adaptive Visibility-Graph Planning for Robust Humanoid Navigation with Collision-Free MPC Residual Reinforcement Learning for Robot Control

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T22:35:37.354247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2db3407d-4d38-4fbe-814c-718dca8eb7b6 · inbound

Conformal Constraint Tightening for Chance-Constrained Motion Planning with Unknown Dynamics cites this paper.

Conformal Constraint Tightening for Chance-Constrained Motion Planning with Unknown Dynamics Residual Reinforcement Learning for Robot Control

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T04:54:12.185761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5db7fea-11db-4820-981c-ddc72416d264 · inbound

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? cites this paper.

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? Residual Reinforcement Learning for Robot Control

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-30T11:06:22.954758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ef21e19-4a49-49a0-bd4e-28aec6a260ac · inbound

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? cites this paper.

Do You Really Need to Pretrain Q-Functions for Online RL Fine-Tuning? Residual Reinforcement Learning for Robot Control

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T04:27:43.895668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.