Paper Citation Record · LEDGER

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2507.15063.

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

pith.paper-citation-record.v1
2507.15063 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:47:08.921843Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T21:57:20.848868Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:37:14.596257Z

Reference resolution

31 of 31 outbound references displayed

verified exact2
verified fuzzy15
unresolved13
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c56ffe48-01ef-41fe-9ebe-47c1398e3fee · outbound

This paper cites Pasin, M.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Pasin, M

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.683843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 873daece-6382-4710-99ae-c331e54cbf76 · outbound

This paper cites Pasin, M.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Pasin, M

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.668124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8020d0b9-59cb-4a6d-979b-796655508646 · outbound

This paper cites Quantum Computation by Adiabatic Evolution.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Quantum Computation by Adiabatic Evolution

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:47:08.787749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d569713-f567-4379-b08f-16027061d71e · outbound

This paper cites Next-Generation Topology of D-Wave Quantum Processors.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Next-Generation Topology of D-Wave Quantum Processors

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T15:47:08.792451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18daec10-87a8-4fa0-9547-61c763cb4629 · outbound

This paper cites an unresolved cited work.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:47:09.652541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ce0cf0d6-1acc-4207-bf6c-8d60845d37e6 · outbound

This paper cites Lucas, Ising formulations of many np problems, Frontiers in Physics 2 (2014) 5.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Lucas, Ising formulations of many np problems, Frontiers in Physics 2 (2014) 5

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.636970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 19c26724-23af-4a4f-a79c-f9599b477d0a · outbound

This paper cites an unresolved cited work.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:47:09.623156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 99186ec1-96f1-4602-ad36-765ead88905d · outbound

This paper cites Mücke, R.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Mücke, R

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T15:47:08.810962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20f447c3-371c-4a52-a16b-331e08c54389 · outbound

This paper cites Pranjić, B.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Pranjić, B

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.608303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5f12f6b2-f06c-4884-8548-6db837a8b030 · outbound

This paper cites Nembrini, M.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Nembrini, M

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.592485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cbc08b6e-3bc1-45e6-ab97-a71687d2a37f · outbound

This paper cites Borle, N.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Borle, N

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.578275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e9b6d746-bdad-4729-a0fb-16f96c6ba32d · outbound

This paper cites Pasin, W.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Pasin, W

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.563003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ed923505-2b73-48c8-8cfa-cfca98c00e04 · outbound

This paper cites Cunha, C.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Cunha, C

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.548749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b70fd713-ce6e-4e45-a4d3-6537c4c9d11f · outbound

This paper cites an unresolved cited work.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:47:09.534185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a54c83cf-8c1d-47a3-ad79-5a5819417656 · outbound

This paper cites Molnar, Interpretable Machine Learning, 3 ed., 2025.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Molnar, Interpretable Machine Learning, 3 ed., 2025

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.518905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0fec7506-5ab3-4265-bc69-b08dbdde8f2c · outbound

This paper cites In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering In2Core: Leveraging Influence Functions for Coreset Selection in Instruction Finetuning of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:47:08.848541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f834549-4c6b-4453-bc3e-f37eeb7cf493 · outbound

This paper cites Bauckhage, N.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Bauckhage, N

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.501054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3702e098-d0f8-40d5-9336-e69df1bcfb9c · outbound

This paper cites Alvarez-Giron, J.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Alvarez-Giron, J

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.484376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d34af97d-0dc0-4da4-9cab-7f3ec136f607 · outbound

This paper cites Kurihara, S.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Kurihara, S

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.465015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 90f4cb4e-1dcf-42a3-ae3c-0081bef695e8 · outbound

This paper cites Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:47:09.253117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c4a5f04d-22a9-47d8-947d-91e58f101112 · outbound

This paper cites Matsumoto, Y.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Matsumoto, Y

Reference 21

Resolution: verified exact; doi, observed 2026-08-06T15:47:08.967308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 760486d8-2e9e-4798-9ca5-14803cfc90ff · outbound

This paper cites an unresolved cited work.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:47:09.445669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f3b0b370-fca6-4022-a02b-d0fe21616c5e · outbound

This paper cites Morstyn, Annealing-based quantum computing for combinatorial optimal power flow, IEEE Transactions on Smart Grid PP (2022) 1–1.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Morstyn, Annealing-based quantum computing for combinatorial optimal power flow, IEEE Transactions on Smart Grid PP (2022) 1–1

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:47:08.883213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43d2a736-d53c-42f9-9160-683907d1a761 · outbound

This paper cites an unresolved cited work.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:47:09.427232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4e7c78ad-2b6e-434a-a3cb-face3d24d692 · outbound

This paper cites Breiman, Random forests, Machine Learning 45 (2001) 5–32.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Breiman, Random forests, Machine Learning 45 (2001) 5–32

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:47:08.893154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03fbfdac-d691-438f-afec-e84d24735085 · outbound

This paper cites Debeer, C.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Debeer, C

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.391687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3a917654-ca9a-4369-a103-a14e929e268a · outbound

This paper cites an unresolved cited work.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Unresolved cited work

Reference 27

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T15:47:09.141633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c1e47d51-a03a-436c-b8d2-7835a589af34 · outbound

This paper cites Pasvolsky, D.-W.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Pasvolsky, D.-W

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.374685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b7e3909f-5f00-4216-a5d0-919b0f02fb9c · outbound

This paper cites Hutter, H.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Hutter, H

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:47:09.357864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5c98649a-4dd2-48c4-a886-3f2a44d1fe27 · outbound

This paper cites an unresolved cited work.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:47:09.342112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation db2cfb5b-b5d6-471f-a879-2612c25e5e34 · outbound

This paper cites an unresolved cited work.

Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:47:09.325722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation e6580c2a-f0c5-4654-acf2-8a7fd7b8dd44 · inbound

Quantum-Inspired Trace-Augmented Evidence Selection for Reasoning over Structured Hypothesis Spaces cites this paper.

Quantum-Inspired Trace-Augmented Evidence Selection for Reasoning over Structured Hypothesis Spaces Quantum Annealing for Machine Learning: Applications in Feature Selection, Instance Selection, and Clustering

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:37:14.597716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.