Paper Citation Record · LEDGER

Efficient Online Reinforcement Learning with Offline Data

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2302.02948.

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

pith.paper-citation-record.v1
2302.02948 v4

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 2026-08-09T06:31:02.800959+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:45.188595Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:49:57.181580Z

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation 07b8cd2f-ab37-4319-9b16-b246748fc2b7 · inbound

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies cites this paper.

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies Efficient Online Reinforcement Learning with Offline Data

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-13T13:48:36.436566Z

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.

Observation da1fdad5-7c8d-4786-9ebf-e5c3fdaf1061 · inbound

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own cites this paper.

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own Efficient Online Reinforcement Learning with Offline Data

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-24T06:44:02.559846Z

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.

Observation 9ca01919-e7c7-4a62-9b55-695b0f199b9b · inbound

Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL cites this paper.

Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL Efficient Online Reinforcement Learning with Offline Data

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:45.188595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54098eb7-f739-4b53-b9d7-90eaa0d274cc · inbound

Reinforcement Learning via Implicit Imitation Guidance cites this paper.

Reinforcement Learning via Implicit Imitation Guidance Efficient Online Reinforcement Learning with Offline Data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:37:46.315134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19b8f177-1080-4532-812f-1a5351fb1d6d · inbound

Decentralized Relaxed Smooth Optimization with Gradient Descent Methods cites this paper.

Decentralized Relaxed Smooth Optimization with Gradient Descent Methods Efficient Online Reinforcement Learning with Offline Data

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T21:34:28.644931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6af8edd1-46b1-4419-882f-c5d3db83d8a5 · inbound

Value Flows cites this paper.

Value Flows Efficient Online Reinforcement Learning with Offline Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T11:01:26.920260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ea21e37-3b0e-49ab-9fd5-8a67e61b2199 · inbound

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning cites this paper.

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning Efficient Online Reinforcement Learning with Offline Data

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:05:15.613254Z

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.

Observation 7a7d4669-fe08-4290-ab25-458ba3ca73e6 · inbound

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning cites this paper.

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning Efficient Online Reinforcement Learning with Offline Data

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T21:40:44.030470Z

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Unavailable: canonical work link unavailable.

Observation 93d52c32-20b8-454a-bc34-a47bfcea627a · inbound

Online World Modeling Enables Real-World Inverse Reinforcement Learning from Observation cites this paper.

Online World Modeling Enables Real-World Inverse Reinforcement Learning from Observation Efficient Online Reinforcement Learning with Offline Data

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T20:06:52.898450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44b8beff-9de2-4cae-95ce-d09ce9fe70b4 · inbound

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities cites this paper.

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities Efficient Online Reinforcement Learning with Offline Data

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:41:08.108166Z

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.

Observation f2bb1677-e9ad-4059-94aa-336f814d5aae · inbound

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities cites this paper.

Long-Horizon Q-Learning: Accurate Value Learning via n-Step Inequalities Efficient Online Reinforcement Learning with Offline Data

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:41:24.704833Z

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.

Observation e4ef87bb-5bf0-42bd-9790-d38f19d2060e · inbound

RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking cites this paper.

RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking Efficient Online Reinforcement Learning with Offline Data

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:37:08.164807Z

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.

Observation 4302685f-03af-401c-bfd5-d9e21e29b59e · inbound

RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking cites this paper.

RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking Efficient Online Reinforcement Learning with Offline Data

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:54:05.785098Z

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.

Observation d19e3344-8788-4200-ae8b-6b7fb000eb31 · inbound

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

Improving Robotic Generalist Policies via Flow Reversal Steering Efficient Online Reinforcement Learning with Offline Data

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:48:35.803777Z

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.

Observation 3122a81d-378e-485c-97e4-c1ebfff421a5 · inbound

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

Learning Process Rewards via Success Visitation Matching for Efficient RL Efficient Online Reinforcement Learning with Offline Data

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:44.514884Z

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.

Observation 3bf457a2-ff38-4369-8ac5-5166c4c1a1ca · inbound

An Introduction to Causal Reinforcement Learning cites this paper.

An Introduction to Causal Reinforcement Learning Efficient Online Reinforcement Learning with Offline Data

Reference 140

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:49:57.183066Z

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.

Observation 63993894-2958-492b-a60f-a338fef6ccec · inbound

OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies cites this paper.

OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies Efficient Online Reinforcement Learning with Offline Data

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-12T00:23:04.763773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0587974-934a-47ec-a15b-e711c698d88d · 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? Efficient Online Reinforcement Learning with Offline Data

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-30T11:06:21.826493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc8d6680-afd6-4aa9-abff-3fbe039a3cd8 · 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? Efficient Online Reinforcement Learning with Offline Data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T04:27:43.851239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.