Paper Citation Record · LEDGER

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning

As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2607.11701.

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

pith.paper-citation-record.v1
2607.11701 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T03:46:46.026308Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

16 of 16 outbound references displayed

verified exact0
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8bb03488-bf05-497e-b152-554ebf5595af · outbound

This paper cites Drug design by machine learning: Support vector machines for pharmaceutical data analysis,.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Drug design by machine learning: Support vector machines for pharmaceutical data analysis,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caac28fd-e397-44fd-b32f-6eec490b6e87 · outbound

This paper cites Q 2SAR: A Quantum Multi- ple Kernel Learning Approach for Drug Discovery,.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Q 2SAR: A Quantum Multi- ple Kernel Learning Approach for Drug Discovery,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 631e284d-c49d-4b70-b279-75b8636eff21 · outbound

This paper cites Quantum support vector machine for big data classification,.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Quantum support vector machine for big data classification,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd35ffbd-eb81-423f-af9b-5d3de7bec527 · outbound

This paper cites Power of data in quantum machine learning,.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Power of data in quantum machine learning,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38a1c6db-687f-4bc3-8365-0bde9be27cc7 · outbound

This paper cites Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning,.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Sampling-based sublinear low-rank matrix arithmetic framework for dequantizing quantum machine learning,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dab947af-66ee-4dd9-b0b6-d57bd95dfd0c · outbound

This paper cites Quantum Multiple Kernel Learning.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Quantum Multiple Kernel Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53a95731-7bd9-4bba-b98d-8e2c607484cf · outbound

This paper cites Gaultonet al.,The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods, Nucleic Acids Research, 2023.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Gaultonet al.,The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods, Nucleic Acids Research, 2023

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 335d6a08-95f2-4fc8-8b5c-5c27912256ae · outbound

This paper cites Fast Expectation Value Calculation Speedup of Quantum Approximate Optimization Algorithm: HoLCUs QAOA.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Fast Expectation Value Calculation Speedup of Quantum Approximate Optimization Algorithm: HoLCUs QAOA

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94617f2d-53bb-4949-bb36-1229597a0c45 · outbound

This paper cites Data Complexity: a threshold between Classical and Quantum Machine Learning - Part I,.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Data Complexity: a threshold between Classical and Quantum Machine Learning - Part I,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1a770fe-ec39-436d-8632-a75a10ccc920 · outbound

This paper cites Supervised learning with quantum- enhanced feature spaces,.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Supervised learning with quantum- enhanced feature spaces,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f00987b5-993b-4f3f-b90a-ba2be4b53211 · outbound

This paper cites Quantum machine learning in feature Hilbert spaces,.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Quantum machine learning in feature Hilbert spaces,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88f47ac1-4d9a-4b98-b7d1-9d652996e2d1 · outbound

This paper cites Exponential concentration in quantum kernel methods,.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Exponential concentration in quantum kernel methods,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dc803b8-7d56-4c94-84bb-0ad701ecb559 · outbound

This paper cites Enhancing Drug Discovery: Quantum Machine Learning for QSAR Prediction with Incomplete Data.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Enhancing Drug Discovery: Quantum Machine Learning for QSAR Prediction with Incomplete Data

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20accb01-a247-48b0-bb9d-68b88757ce12 · outbound

This paper cites Guidance for good practice in the application of machine learning in development of toxicological quantitative structure-activity relationships (QSARs),.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Guidance for good practice in the application of machine learning in development of toxicological quantitative structure-activity relationships (QSARs),

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c13de1d-c02b-4347-8d4d-8b096e849716 · outbound

This paper cites Pesticide effect on earthworm lethality via interpretable machine learning,.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Pesticide effect on earthworm lethality via interpretable machine learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f78cd21b-83fe-44fa-833c-3d1ff1276aab · outbound

This paper cites Logistic classification models for pH- permeability profile: Predicting permeability classes for the biopharma- ceutical classification system,.

$\mathtt{Q^2SAR}$: overcoming classical bottlenecks in drug discovery via quantum multiple kernel learning Logistic classification models for pH- permeability profile: Predicting permeability classes for the biopharma- ceutical classification system,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T03:46:46.026308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.