Paper Citation Record · LEDGER

Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients?

As of 23 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2505.00037.

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

pith.paper-citation-record.v1
2505.00037 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:20:57.246294Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

verified exact2
verified fuzzy1
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30464a2d-d7d3-44c8-a408-0f8a7498a2a6 · outbound

This paper cites The Computational Limits of Deep Learning.

Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients? The Computational Limits of Deep Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:57.231129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42fc392e-d58c-4bde-86e1-362a141dc3aa · outbound

This paper cites By ranking biomarker using ridge-regression and grouping them by importance, we evaluated classification performance of both CSVM and QSVM across different experimental conditions.

Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients? By ranking biomarker using ridge-regression and grouping them by importance, we evaluated classification performance of both CSVM and QSVM across different experimental conditions

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:20:57.349331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a9058b97-6335-48fd-bb41-387525b155d5 · outbound

This paper cites Quantum Deep Learning for Mutant COVID-19 Strain Prediction.

Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients? Quantum Deep Learning for Mutant COVID-19 Strain Prediction

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:20:57.319642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6e72adfc-b01f-4505-994e-02595236b7cb · outbound

This paper cites Quantum Machine Learning with Application to Progressive Supranuclear Palsy Network Classification.

Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients? Quantum Machine Learning with Application to Progressive Supranuclear Palsy Network Classification

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:20:57.300575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3d58ea04-b6cb-44af-a637-64dc559482d0 · outbound

This paper cites Practical application improvement to Quantum SVM: theory to practice.

Can a Quantum Support Vector Machine algorithm be utilized to identify Key Biomarkers from Multi-Omics data of COVID19 patients? Practical application improvement to Quantum SVM: theory to practice

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T05:20:57.246294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.