Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.01439.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:32:45.076871Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T21:36:44.815481Z
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 c885c4ad-3f4f-4e05-a429-4a6fd4de01c3 · inbound
SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks cites this paper.
SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:32:45.076871Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e4d0a97-dae3-4eaf-9488-cc7487daf072 · inbound
Model Science: getting serious about verification, explanation and control of AI systems cites this paper.
Model Science: getting serious about verification, explanation and control of AI systems Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:17:08.557324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 633a687e-fecd-4605-a51c-e3eb4f0c8d09 · inbound
EntailLLM: Verifying LLM-Generated Vulnerability Discovery Paths with Domain Knowledge via Logic Programming cites this paper.
EntailLLM: Verifying LLM-Generated Vulnerability Discovery Paths with Domain Knowledge via Logic Programming Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction
Reference 61
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-04T21:36:44.893999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.