Paper Citation Record · LEDGER

Imitation Bootstrapped Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2311.02198.

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

pith.paper-citation-record.v1
2311.02198 v6

Coverage vector

measured 0 of 0 reference resolution

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measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:22:49.650714Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:58:02.715158Z

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Outbound references

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Pith citing papers

Observation e2f0e55a-ef98-4bc1-841c-b4476a8e8720 · inbound

Diffusion Policy Policy Optimization cites this paper.

Diffusion Policy Policy Optimization Imitation Bootstrapped Reinforcement Learning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:48:14.893529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a537d976-ec31-47ec-a8b5-e08437152fc5 · inbound

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards cites this paper.

Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards Imitation Bootstrapped Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T11:52:46.600129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cf8627a-3638-4ea8-8eb6-cc6aca7ac105 · inbound

Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation cites this paper.

Lift3D Foundation Policy: Lifting 2D Large-Scale Pretrained Models for Robust 3D Robotic Manipulation Imitation Bootstrapped Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-12T11:06:12.881068Z

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Observation 111cb770-e039-4064-8b19-a495708468b8 · inbound

Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data cites this paper.

Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data Imitation Bootstrapped Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:00.750603Z

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

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning cites this paper.

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 abd4174c-d514-4e8b-9ee8-4ab1c9174b25 · inbound

Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning cites this paper.

Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning Imitation Bootstrapped Reinforcement Learning

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-09T11:31:10.676629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1514737c-eb75-48f4-9b1b-f28f1245b9dc · inbound

Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation cites this paper.

Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation Imitation Bootstrapped Reinforcement Learning

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T23:29:32.171148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 339b6e10-176d-4ec9-9ae2-d97fa84c9ee7 · 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 Imitation Bootstrapped Reinforcement Learning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-16T12:55:40.322580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 532c19c2-6b0f-4037-997e-8780c6c955fc · inbound

Reinforcement Learning via Implicit Imitation Guidance cites this paper.

Reinforcement Learning via Implicit Imitation Guidance Imitation Bootstrapped Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.332349Z

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Unavailable: canonical work link unavailable.

Observation f53a35b4-2377-4b1f-95e9-43b7c0f7c9be · inbound

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training cites this paper.

SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training Imitation Bootstrapped Reinforcement Learning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T19:53:06.280385Z

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Observation b9070ff3-c6e0-4ae7-87e4-127e0e14fd68 · inbound

LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning cites this paper.

LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning Imitation Bootstrapped Reinforcement Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:21:32.918278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d7d1aa64-5345-4c47-b20f-b200552b5bf9 · inbound

A KL-regularization Framework for Learning to Plan with Adaptive Priors cites this paper.

A KL-regularization Framework for Learning to Plan with Adaptive Priors Imitation Bootstrapped Reinforcement Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:24:53.179560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d648f7f7-a01e-4dba-91f0-eff6c569bcae · inbound

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows Imitation Bootstrapped Reinforcement Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-16T03:37:13.937215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 91e03d56-ccaa-484a-b157-72e9ca970545 · inbound

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows Imitation Bootstrapped Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T02:53:15.824747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7222a38-b5d0-4a80-96a8-d807dbd9c16b · inbound

From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning cites this paper.

From Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning Imitation Bootstrapped Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T23:46:32.301737Z

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Unavailable: canonical work link unavailable.

Observation d6a6fe9f-1b75-483a-a327-c51717606c98 · inbound

Behavioral Mode Discovery for Fine-tuning Multimodal Generative Policies cites this paper.

Behavioral Mode Discovery for Fine-tuning Multimodal Generative Policies Imitation Bootstrapped Reinforcement Learning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:17:06.066093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8fcaf121-ddac-49bc-994c-ada13c838715 · inbound

SARM2: Multi-Task Stage Aware Reward Modeling for Self Improving Robotic Manipulation cites this paper.

SARM2: Multi-Task Stage Aware Reward Modeling for Self Improving Robotic Manipulation Imitation Bootstrapped Reinforcement Learning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:07:39.404633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3913cbef-23f5-4d47-9b38-959db6257d77 · inbound

UniIntervene: Agentic Intervention for Efficient Real-World Reinforcement Learning cites this paper.

UniIntervene: Agentic Intervention for Efficient Real-World Reinforcement Learning Imitation Bootstrapped Reinforcement Learning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:58:02.716671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e8fe6da0-3bfe-4e77-89bc-446770c11f6c · 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? Imitation Bootstrapped Reinforcement Learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-30T11:06:22.667880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47dd6549-d3ae-4431-af91-e43b699b93cc · 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? Imitation Bootstrapped Reinforcement Learning

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T04:27:44.027011Z

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Observation 11549360-2aaa-4b05-9814-b85366f6f68e · inbound

Adaptation of Generalist Robot Policies with Minimal Data cites this paper.

Adaptation of Generalist Robot Policies with Minimal Data Imitation Bootstrapped Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T14:18:48.327281Z

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Unavailable: canonical work link unavailable.

Observation 28489720-f5ca-4c11-92ef-ba55cfc31bec · inbound

Learning Loco-Manipulation From SMPC Demonstrations With Sparse Offline-to-Online RL cites this paper.

Learning Loco-Manipulation From SMPC Demonstrations With Sparse Offline-to-Online RL Imitation Bootstrapped Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T00:22:49.650714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.