Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2212.13540.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T19:57:04.355613Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T19:57:04.583152Z
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 886bccc9-1dbf-444a-b1c8-8ed5779ce9bf · inbound
Improved Online Confidence Bounds for Multinomial Logistic Bandits cites this paper.
Improved Online Confidence Bounds for Multinomial Logistic Bandits Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T19:57:04.588808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.