Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Distributional Robustness and Regularization in Reinforcement Learning
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2003.02894.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:39:15.637632Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T09:57:56.240528Z
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 85f75c8c-63bc-4c34-b9ec-0bd7e2bdbcf3 · inbound
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty cites this paper.
DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty Distributional Robustness and Regularization in Reinforcement Learning
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T09:12:14.710746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 919c6647-3049-4180-b935-9c4d6966324a · inbound
Robust Policy Optimization to Prevent Catastrophic Forgetting cites this paper.
Robust Policy Optimization to Prevent Catastrophic Forgetting Distributional Robustness and Regularization in Reinforcement Learning
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T05:37:24.433302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 24e13565-6d03-4ccc-97e2-e510605aff4e · inbound
When Dynamics Shift, Robust Task Inference Wins: Offline Imitation Learning with Behavior Foundation Models Revisited cites this paper.
When Dynamics Shift, Robust Task Inference Wins: Offline Imitation Learning with Behavior Foundation Models Revisited Distributional Robustness and Regularization in Reinforcement Learning
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T20:37:45.201601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5df27fb6-df88-4fd2-8b60-d494ac7029ff · inbound
Reinforcement Learning Disrupts Gradient-Based Adversarial Optimization cites this paper.
Reinforcement Learning Disrupts Gradient-Based Adversarial Optimization Distributional Robustness and Regularization in Reinforcement Learning
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T09:57:56.242039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 88f1c433-0416-48a4-bdf1-f5f8f2a8cef7 · inbound
Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions cites this paper.
Robust Average-Reward Markov Decision Processes: Minimax-Optimal Learning via Plug-in Reductions Distributional Robustness and Regularization in Reinforcement Learning
Reference 100
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:39:15.637632Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.