Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Which AI Technique Is Better to Classify Requirements? An Experiment with SVM, LSTM, and ChatGPT
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.11547.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:59:12.416493Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T23:59:12.565205Z
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 d2afb829-6e15-43d1-93dc-724fb719a186 · inbound
Synthline: A Product Line Approach for Synthetic Requirements Engineering Data Generation using Large Language Models cites this paper.
Synthline: A Product Line Approach for Synthetic Requirements Engineering Data Generation using Large Language Models Which AI Technique Is Better to Classify Requirements? An Experiment with SVM, LSTM, and ChatGPT
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T23:59:12.569442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5cca437b-e424-48f8-81c3-93a43c7d1f9b · inbound
The Few-shot Dilemma: Over-prompting Large Language Models cites this paper.
The Few-shot Dilemma: Over-prompting Large Language Models Which AI Technique Is Better to Classify Requirements? An Experiment with SVM, LSTM, and ChatGPT
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:31:54.812437Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.