Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.01001.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T11:08:24.623523Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T15:15:41.361263Z
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 16738db4-9576-4802-bade-c91faac82f45 · inbound
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models cites this paper.
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:08:24.623523Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f41c9e77-3ae6-44f0-9835-30959c7c0844 · inbound
Systematic Evaluation of Machine-Generated Reasoning and PHQ-9 Labeling for Depression Detection Using Large Language Models cites this paper.
Systematic Evaluation of Machine-Generated Reasoning and PHQ-9 Labeling for Depression Detection Using Large Language Models Beyond ChatGPT: Enhancing Software Quality Assurance Tasks with Diverse LLMs and Validation Techniques
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:15:41.409451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.