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 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:20:45.151102Z
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 9803b937-1ae1-49e1-b051-92f459b39cb4 · inbound
Remembering the Markov Property in Cooperative MARL cites this paper.
Remembering the Markov Property in Cooperative MARL Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:20:45.151102Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-20T06:33:59.587034+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.