Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.06343.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T01:16:01.059094Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T21:05:15.555085Z
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 68671fb2-9f57-4881-8874-fdb9f765ffe4 · inbound
Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning cites this paper.
Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Reference 52
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T21:05:15.557120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b0525c6a-6866-4df1-ad99-ddf4fe73614a · inbound
Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning cites this paper.
Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T21:40:44.973605Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2988e363-41f8-479f-90ad-9503baae70d0 · inbound
Deep Reinforcement Learning: From First Principles to Reasoning Models cites this paper.
Deep Reinforcement Learning: From First Principles to Reasoning Models Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T01:16:01.059094Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.