Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Hybrid LLM/Rule-based Approaches to Business Insights Generation from Structured Data
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.15604.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:19:35.791508Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T23:36:13.926626Z
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 786c126d-55f3-4bb5-a79a-ef5004f393fd · inbound
Revisiting Data Analysis with Pre-trained Foundation Models cites this paper.
Revisiting Data Analysis with Pre-trained Foundation Models Hybrid LLM/Rule-based Approaches to Business Insights Generation from Structured Data
Reference 156
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:26:14.157334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a865ae9-781c-42ad-9a93-1fccbf10712d · inbound
An Empirical Study on the Capability of LLMs in Decomposing Bug Reports cites this paper.
An Empirical Study on the Capability of LLMs in Decomposing Bug Reports Hybrid LLM/Rule-based Approaches to Business Insights Generation from Structured Data
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:19:35.791508Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6baef517-2df7-486d-9345-d6636c6919fb · inbound
Semantic Layers for Reliable LLM-Powered Data Analytics: A Paired Benchmark of Accuracy and Hallucination Across Three Frontier Models cites this paper.
Semantic Layers for Reliable LLM-Powered Data Analytics: A Paired Benchmark of Accuracy and Hallucination Across Three Frontier Models Hybrid LLM/Rule-based Approaches to Business Insights Generation from Structured Data
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:36:13.933375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.