Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.07198.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T12:06:20.410377Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T02:11:15.741874Z
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 e436da6d-d4cb-4263-92f1-287d22690f4f · inbound
Catoni Contextual Bandits are Robust to Heavy-tailed Rewards cites this paper.
Catoni Contextual Bandits are Robust to Heavy-tailed Rewards More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:06:20.410377Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90abeef2-eaea-45ce-a822-7ef69123956b · inbound
Value Flows cites this paper.
Value Flows More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:01:34.735036Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8df89cf0-199f-437a-9aea-bb257d1208cf · inbound
Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning cites this paper.
Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning
Reference 61
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:56:00.730098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 0f50cbd7-13b1-47b8-a3ef-c2e34c0a4efe · inbound
Quantile-Coupled Flow Matching for Distributional Reinforcement Learning cites this paper.
Quantile-Coupled Flow Matching for Distributional Reinforcement Learning More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T02:11:15.743849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.