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Paper Citation Record · LEDGER

Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.07698.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.07698 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:06.140579Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T13:26:08.219377Z

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 82645ce2-7e31-4c92-9de2-146cfedc5dc5 · inbound

Quantum-Based Software Engineering cites this paper.

Quantum-Based Software Engineering Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:06.140579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:06.140579Z digest=sha256:117de145148a5cf4c9f6839f0eadb806fc5a0a68fd6df459f067b6c9ca505c36

Observation 3f8e207b-7f8d-447a-8c46-6d674bf4233f · inbound

Automated Quantum Software and AI Engineering cites this paper.

Automated Quantum Software and AI Engineering Quantum vs. Classical Machine Learning Algorithms for Software Defect Prediction: Challenges and Opportunities

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:26:08.224878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T01:37:24.594859Z digest=sha256:6816d70d20cbf6453468e6897dc3f421c73dcfa8c6a640e2963ad0fa1094249f