Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1903.09338.
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 2026-08-03T16:46:58.826849Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T18:40:03.504745Z
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 b340604d-c2f6-492f-8467-2aa743e5e90f · inbound
A Geometric Theory of Cognition for Machine Intelligence cites this paper.
A Geometric Theory of Cognition for Machine Intelligence Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T16:46:58.826849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 500e94bc-9222-42aa-bcc2-2b9ae1d9076f · inbound
Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges cites this paper.
Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T18:40:03.506346Z
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.