Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.07523.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T04:39:06.014406Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T12:46:27.860463Z
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 47bb1096-30d7-43a5-a96a-02dbf597181b · inbound
Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies cites this paper.
Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:39:06.014406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e5df350-6c5b-40a5-8584-b9664a6ecbbb · inbound
Low-Rank Adaptation for Critic Learning in Off-Policy Reinforcement Learning cites this paper.
Low-Rank Adaptation for Critic Learning in Off-Policy Reinforcement Learning Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:46:27.863900Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a3db05dd-9295-402a-bc36-ca5c22c7c0fe · inbound
Extending Differential Temporal Difference Methods for Episodic Problems cites this paper.
Extending Differential Temporal Difference Methods for Episodic Problems Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:35:38.842202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.