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Paper Citation Record · LEDGER

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application

As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1908.10778.

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

pith.paper-citation-record.v1
1908.10778 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:39:19.126141Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

40 of 40 outbound references displayed

  • verified exact4
  • verified fuzzy19
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7072bc3-0eaa-4240-94cf-876cf26902da · outbound

This paper cites Perdomo-Ortiz, M.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Perdomo-Ortiz, M

Reference 1

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Observation 5709e51e-a540-403f-81a7-69653a493331 · outbound

This paper cites Benedetti, D.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Benedetti, D

Reference 2

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Observation 9cea5d09-eac9-400e-a4a8-6b1b32de0396 · outbound

This paper cites an unresolved cited work.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Unresolved cited work

Reference 3

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Observation 2a8121a8-692d-4832-9e28-34fb949b3cf6 · outbound

This paper cites Liu and L.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Liu and L

Reference 4

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Observation 50ad1369-4a8a-47c9-b4aa-dd7e1813a9d6 · outbound

This paper cites The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine

Reference 5

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Observation 28914f0e-08a6-4b4f-9645-4d182e50f274 · outbound

This paper cites curse of dimensionality.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application curse of dimensionality

Reference 6

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Observation 62026c6d-8f5a-4c60-b26b-6c4da970f8c0 · outbound

This paper cites Training of Quantum Circuits on a Hybrid Quantum Computer.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Training of Quantum Circuits on a Hybrid Quantum Computer

Reference 7

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source=pdf_text observed=2026-08-14T10:39:18.932766Z digest=sha256:679bfaf4b028dad4c2b72837df29801c375268b1e5ee6f8e02d483c63a336386

Observation 04718d0d-866b-406c-b59e-f395986e7169 · outbound

This paper cites Generative model benchmarks for superconducting qubits.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Generative model benchmarks for superconducting qubits

Reference 8

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source=pdf_text observed=2026-08-14T10:39:18.939377Z digest=sha256:a81fc63cdc7ec27b819f81479dd943a8006825956b9b0f34d6bee14fd21694cf

Observation d877c6a1-2eab-494c-9aef-23e8bf819a19 · outbound

This paper cites Robust Implementation of Generative Modeling with Parametrized Quantum Circuits.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Robust Implementation of Generative Modeling with Parametrized Quantum Circuits

Reference 9

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source=pdf_text observed=2026-08-14T10:39:18.945018Z digest=sha256:6a86185fa40989556296719bb3ac8655918f75f3be84a7e2efbabadc7af71d1e

Observation e875817b-a9a6-4e69-a661-c0acbb77a082 · outbound

This paper cites Quantum Generative Adversarial Networks for Learning and Loading Random Distributions.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Quantum Generative Adversarial Networks for Learning and Loading Random Distributions

Reference 10

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Observation 067d214d-a4be-4ccb-a419-f8022cad31e8 · outbound

This paper cites Quantum Boltzmann Machine.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Quantum Boltzmann Machine

Reference 11

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Observation a2a388c1-7f6e-4514-ab85-b705259139af · outbound

This paper cites Quantum Neuron: an elementary building block for machine learning on quantum computers.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Quantum Neuron: an elementary building block for machine learning on quantum computers

Reference 12

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source=pdf_text observed=2026-08-14T10:39:18.965327Z digest=sha256:94a2e4935032fa2dc0e1b1e1e11912708cd7860c55044c6173974c9e617cd15d

Observation 677bbe3c-f7b3-440f-bdaf-c53c0c7f702c · outbound

This paper cites Realizing Quantum Boltzmann Machines Through Eigenstate Thermalization.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Realizing Quantum Boltzmann Machines Through Eigenstate Thermalization

Reference 13

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source=pdf_text observed=2026-08-14T10:39:18.970527Z digest=sha256:88579c3bf0ce8bba76086d1401b875288b3a91f1e37439d334abd0a92860e1da

Observation 7820c104-3d22-4438-9c37-d07bd94735b8 · outbound

This paper cites Rosenberg, P.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Rosenberg, P

Reference 14

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Observation adc31c2a-c3c7-4744-b7e1-6f858c7dc563 · outbound

This paper cites Marzec, Portfolio Optimization: Applications in Quantum Computing (John Wiley & Sons, Ltd, 2016), chap.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Marzec, Portfolio Optimization: Applications in Quantum Computing (John Wiley & Sons, Ltd, 2016), chap

Reference 15

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Observation 9e250202-4d8c-40dc-bf04-b1e454e60222 · outbound

This paper cites Rebentrost, B.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Rebentrost, B

Reference 16

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Observation d2a60db2-79ae-4a89-9064-a69a28e46869 · outbound

This paper cites an unresolved cited work.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Unresolved cited work

Reference 17

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Observation cd444f0e-49c9-4f35-bd62-16ec067bcb2d · outbound

This paper cites Woerner and D.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Woerner and D

Reference 18

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Observation 8e3e767d-90b9-45f8-aab0-78a131c4c0de · outbound

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Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Unresolved cited work

Reference 19

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Observation 7050bdd1-9c07-43a4-bba4-48f8e34b700d · outbound

This paper cites Stamatopoulos, D.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Stamatopoulos, D

Reference 20

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source=pdf_text observed=2026-08-14T10:39:19.011393Z digest=sha256:0a83e140e4b1700a136fa87dffdd037a55a52f803c94534118b8cf162b8b3473

Observation e9cd7eaf-43b8-4052-9b66-25b1564a2b4e · outbound

This paper cites Towards Prediction of Financial Crashes with a D-Wave Quantum Computer.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Towards Prediction of Financial Crashes with a D-Wave Quantum Computer

Reference 21

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Observation 7eb7a605-5f70-484c-ae4d-5c81d677e93d · outbound

This paper cites Towards Pricing Financial Derivatives with an IBM Quantum Computer.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Towards Pricing Financial Derivatives with an IBM Quantum Computer

Reference 22

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Observation b352287b-fa0f-4085-a27a-f01c5bd9b3bc · outbound

This paper cites Venturelli and A.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Venturelli and A

Reference 23

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source=pdf_text observed=2026-08-14T10:39:19.027633Z digest=sha256:bf126bad34761b333ecee3bdb6250984e12590f9b32c552d336753ff6420123b

Observation f0baa5ad-a1db-447a-a04a-c083e853cea2 · outbound

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Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Unresolved cited work

Reference 24

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Observation 7126705d-26dc-478c-a667-065329c0fe53 · outbound

This paper cites Markowitz, Portfolio selection, The Journal of Finance 7, 77 (1952), ISSN 00221082, 15406261.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Markowitz, Portfolio selection, The Journal of Finance 7, 77 (1952), ISSN 00221082, 15406261

Reference 25

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Observation 744b2168-1520-4a1c-a47f-db7436dbaed7 · outbound

This paper cites Moral-Escudero, R.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Moral-Escudero, R

Reference 26

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Observation 16ea771f-0639-44cb-8170-564d4aa1335f · outbound

This paper cites Kresta, Solving cardinality constrained portfolio optimiza- tion problem by binary particle swarm optimization algorithm, Acta academica karviniensia 11, 24 (2011).

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Kresta, Solving cardinality constrained portfolio optimiza- tion problem by binary particle swarm optimization algorithm, Acta academica karviniensia 11, 24 (2011)

Reference 27

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Observation eb82de84-3495-463b-89b5-09afe548d481 · outbound

This paper cites Farzi, A.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Farzi, A

Reference 28

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Observation 3ac611fa-008e-4fc6-b8e8-b9389aa215c1 · outbound

This paper cites Rifki and H.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Rifki and H

Reference 29

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Observation 40419882-447b-4cc0-8c78-84aab5088097 · outbound

This paper cites Ruiz-Torrubiano and A.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Ruiz-Torrubiano and A

Reference 30

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Observation ff037eb1-bdf9-453c-841a-626f27985c15 · outbound

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Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Unresolved cited work

Reference 31

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Observation c74f2a44-cbda-483e-b9d1-e37fd2dbfc0a · outbound

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Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-14T10:39:19.079254Z digest=sha256:07f4f25cbd6eaac3681187bd1d7a51b117cc703dcf91c39a4f18528489e30eed

Observation ed5e5b29-fd65-4949-b6c5-0613aa58f944 · outbound

This paper cites Tieleman, in Proceedings of the 25th International Confer- ence on Machine Learning(ACM, New York, NY , USA, 2008), ICML ’08, pp.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Tieleman, in Proceedings of the 25th International Confer- ence on Machine Learning(ACM, New York, NY , USA, 2008), ICML ’08, pp

Reference 33

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source=pdf_text observed=2026-08-14T10:39:19.084350Z digest=sha256:e619be0d0f3cd94bbe607772de30ec3b025173d88a11d41066a72e627f90cc08

Observation d4887fa1-df0d-4aa6-922a-34ea4281c0ea · outbound

This paper cites net/tutorial/rbm.html.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application net/tutorial/rbm.html

Reference 34

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source=pdf_text observed=2026-08-14T10:39:19.091850Z digest=sha256:e8519be1cbdc792adab54520ef0cd20c622931b72e7f8f73430ec681cb86e8ad

Observation 2f62cb19-14af-4dbe-b3bf-e8290746b980 · outbound

This paper cites Hansen, Y.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Hansen, Y

Reference 35

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source=pdf_text observed=2026-08-14T10:39:19.096322Z digest=sha256:84441765cf629860de85911cd299b44cea9bd2400438a58b0131c78b9ac1bdfa

Observation 86a251cc-1072-464c-9b7e-fa92b8b1dddc · outbound

This paper cites Hansen and A.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Hansen and A

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation a28010c8-ddb7-4a5f-942f-753035ec0c03 · outbound

This paper cites an unresolved cited work.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-14T10:39:19.523305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 71cdfaaa-c739-4722-a4cb-43a06986ae9a · outbound

This paper cites Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T10:39:19.113215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation da29b7ce-42ef-4b85-8d5a-3b4c323cae4b · outbound

This paper cites Modeling Sequences with Quantum States: A Look Under the Hood.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Modeling Sequences with Quantum States: A Look Under the Hood

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-14T10:39:19.119876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:39:19.119876Z digest=sha256:e02964e043533467cd70388e4af40f93be900eb891df909478cfca2eef246cac

Observation 096787b8-099c-40da-b089-b762cd73c6a1 · outbound

This paper cites Perdomo-Ortiz, A.

Classical versus Quantum Models in Machine Learning: Insights from a Finance Application Perdomo-Ortiz, A

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Pith citing papers

No inbound Pith citation observations are available.