Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.14172.
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 2026-07-14T15:33:56.723175Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T07:26:54.284863Z
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 d135011e-d623-42d0-aad9-4665fa75ed1b · inbound
A Finite-Iteration Theory for Asynchronous Categorical Distributional Temporal-Difference Learning cites this paper.
A Finite-Iteration Theory for Asynchronous Categorical Distributional Temporal-Difference Learning A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:00:56.829427Z
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 4f084cfd-76f2-49e3-9aa7-57f3a3fc0a6c · inbound
Quotient-Categorical Representations for Bellman-Compatible Average-Reward Distributional Reinforcement Learning cites this paper.
Quotient-Categorical Representations for Bellman-Compatible Average-Reward Distributional Reinforcement Learning A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T02:47:08.445334Z
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 f46de81f-57f1-4e30-ac3e-32e43350f5b7 · inbound
Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning cites this paper.
Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T07:26:54.286750Z
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 bb4895f7-e9e9-48c5-bbb0-d6e3836da0e6 · inbound
Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning cites this paper.
Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T15:33:56.723175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.