Paper Citation Record · LEDGER

Boosting Offline Reinforcement Learning via Data Rebalancing

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2210.09241.

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

pith.paper-citation-record.v1
2210.09241 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:27:49.978621Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:25:45.854529Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 fbf7fc05-7fff-4ef7-a5cd-6f2bbb3f7db7 · inbound

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning cites this paper.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Boosting Offline Reinforcement Learning via Data Rebalancing

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:52:15.280066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 912e2045-4ae9-4daa-b764-dd6721502493 · inbound

Offline vs. Online Learning in Model-based RL: Lessons for Data Collection Strategies cites this paper.

Offline vs. Online Learning in Model-based RL: Lessons for Data Collection Strategies Boosting Offline Reinforcement Learning via Data Rebalancing

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T05:09:29.254979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1984199f-0fb1-41ab-8f4e-e89d1adbc13b · inbound

Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning cites this paper.

Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning Boosting Offline Reinforcement Learning via Data Rebalancing

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:25:45.856279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2fcc04d0-779f-40dc-b392-6b6163d91762 · inbound

CODS: Iterative Bellman-Residual Data Selection for Reusable Offline Reinforcement Learning cites this paper.

CODS: Iterative Bellman-Residual Data Selection for Reusable Offline Reinforcement Learning Boosting Offline Reinforcement Learning via Data Rebalancing

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T00:27:49.978621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.