Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.08520.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:57:16.022917Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T21:56:53.775509Z
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 9ab5d552-b385-4ccd-ac65-e578cb669bb2 · inbound
Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity cites this paper.
Detecting AI-Generated Text in Educational Content: Leveraging Machine Learning and Explainable AI for Academic Integrity Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:16.022917Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ca73eec-37c2-400c-8527-90aa0564401c · inbound
Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text cites this paper.
Leveraging Explainable AI for LLM Text Attribution: Differentiating Human-Written and Multiple LLMs-Generated Text Automated Question Generation for Science Tests in Arabic Language Using NLP Techniques
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T21:56:53.781646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.