Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.16589.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:55.288950Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-09T06:00:36.035729Z
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 b770c689-eddb-4ee5-8fe2-74dabab080e7 · inbound
Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis cites this paper.
Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:45:55.288950Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63d12c80-e565-4da6-87b9-6c7f2d06fab5 · inbound
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning cites this paper.
Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:37:27.266178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49ee9c1c-6243-4ed4-b208-36e3c2b8e769 · inbound
Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation cites this paper.
Taming the Curses of Multiagency in Robust Markov Games with Large State Space through Linear Function Approximation The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:00:36.038080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d7c99203-09f1-416d-aeb3-0f61e06a57d4 · inbound
Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks cites this paper.
Online Security Learning in Cooperative Multi-Agent Systems under Hidden Byzantine Attacks The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:37:33.760273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.