Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2002.02829.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-30T14:49:29.137552Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T06:11:22.839895Z
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 9bdc9302-e4c8-40e7-962e-0a641dce73a8 · inbound
Revisiting Mixture Policies in Entropy-Regularized Actor-Critic cites this paper.
Revisiting Mixture Policies in Entropy-Regularized Actor-Critic Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:11:22.842950Z
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 9bd90051-df4b-4f1c-a682-047eff9bd130 · inbound
Autonomous Transition State Search with Soft Actor-Critic Reinforcement Learning cites this paper.
Autonomous Transition State Search with Soft Actor-Critic Reinforcement Learning Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T08:47:01.737491Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e540d67b-2188-418b-b546-5bc8c3045a16 · inbound
Hierarchical Soft Actor-Critic for Sparse-Reward Long-Horizon Reinforcement Learning cites this paper.
Hierarchical Soft Actor-Critic for Sparse-Reward Long-Horizon Reinforcement Learning Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)
Reference 10
- Resolution
- malformed identifier
- no resolver link, observed 2026-07-30T14:49:29.131546Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a40db98-bb95-44ea-b329-24d0d2ff932c · inbound
Hierarchical Soft Actor-Critic for Sparse-Reward Long-Horizon Reinforcement Learning cites this paper.
Hierarchical Soft Actor-Critic for Sparse-Reward Long-Horizon Reinforcement Learning Off-policy Maximum Entropy Reinforcement Learning : Soft Actor-Critic with Advantage Weighted Mixture Policy(SAC-AWMP)
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T14:49:29.137552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.