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Paper Citation Record · LEDGER

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection

As of 13 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2411.15425.

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

pith.paper-citation-record.v1
2411.15425 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:22:40.593416Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

28 of 28 outbound references displayed

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External citation measurements

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Outbound references

Observation 0f0eea86-af7b-42b4-bbcc-397bc19a5f6b · outbound

This paper cites Reviews of Modern Physics 39, 883–893 (1967).

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Reviews of Modern Physics 39, 883–893 (1967)

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1e448bde-e509-42bb-8540-3926a038f277 · outbound

This paper cites IEEE Nanotechnology Magazine 18(3), 15–22 (2024) https://doi.org/10.1109/MNANO.2024.3378485.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection IEEE Nanotechnology Magazine 18(3), 15–22 (2024) https://doi.org/10.1109/MNANO.2024.3378485

Reference 2

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Unavailable: canonical work link unavailable.

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Observation 4f066c60-4625-4ff9-8425-14115d0d388e · outbound

This paper cites In: Data Management, Analytics and Innovation: Proceedings of ICDMAI 2020, Volume 1, pp.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection In: Data Management, Analytics and Innovation: Proceedings of ICDMAI 2020, Volume 1, pp

Reference 3

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Observation a04f3aa2-f208-4982-b3c9-45d390311283 · outbound

This paper cites Decentralized business review (2008) 19.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Decentralized business review (2008) 19

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3f9ac659-f63d-403b-96e6-9e1b4e2acac7 · outbound

This paper cites Empirical Economics 61(5), 2663–2683 (2021).

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Empirical Economics 61(5), 2663–2683 (2021)

Reference 5

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation bcefceef-aaf2-440b-9f02-acef7b6db4ca · outbound

This paper cites In: 2022 IEEE International Conference on Big Data (Big Data), pp.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection In: 2022 IEEE International Conference on Big Data (Big Data), pp

Reference 6

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation df13f076-4d9a-4ee3-974e-85f5731eb4c1 · outbound

This paper cites Frontiers in Physics 9, 665399 (2021).

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Frontiers in Physics 9, 665399 (2021)

Reference 7

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 7f16a594-04cd-419c-870f-d006d934382c · outbound

This paper cites Sensors 22(19), 7162 (2022).

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Sensors 22(19), 7162 (2022)

Reference 8

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Observation 35587849-cc1a-43e9-b2d1-f583a7a6077e · outbound

This paper cites In: Proceedings of the Web Conference 2021, pp.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection In: Proceedings of the Web Conference 2021, pp

Reference 9

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 9f394750-ac83-4db6-b73a-fd20843e733d · outbound

This paper cites IEEE Nanotechnology Magazine 17(2), 31–37 (2023) https://doi.org/10.1109/MNANO.2023.3249501.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection IEEE Nanotechnology Magazine 17(2), 31–37 (2023) https://doi.org/10.1109/MNANO.2023.3249501

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b3857297-509f-4ff7-95d4-cf6f04d73984 · outbound

This paper cites Machine learning 45, 5–32 (2001).

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Machine learning 45, 5–32 (2001)

Reference 11

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Observation 7badbc8e-ee60-4d13-89e6-58e177390e02 · outbound

This paper cites In: Proceedings of the 22nd Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, pp.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection In: Proceedings of the 22nd Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, pp

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2b06da79-6273-4531-80ab-ca8864ab9277 · outbound

This paper cites Clinical chemistry 39(4), 561–577 (1993).

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Clinical chemistry 39(4), 561–577 (1993)

Reference 13

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1ef7ea76-c056-40bd-8441-80ae6dc9e7ae · outbound

This paper cites https://1qbit.com.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection https://1qbit.com

Reference 14

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Observation f7eddc99-3b24-4045-81ce-2b80c9fd9225 · outbound

This paper cites Reports on Progress in Physics 83 (2019) https://doi.org/10.1088/1361-6633/ab85b8.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Reports on Progress in Physics 83 (2019) https://doi.org/10.1088/1361-6633/ab85b8

Reference 15

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Observation 78cdaf98-fc22-4749-b01a-c1a3c9681863 · outbound

This paper cites Science 220(4598), 671–680 (1983).

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Science 220(4598), 671–680 (1983)

Reference 16

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation af3bb1e8-8c9e-4689-9be0-0682aaffe8fc · outbound

This paper cites https://pypi.org/project/dwave-neal/.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection https://pypi.org/project/dwave-neal/

Reference 17

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 73f5828c-1da4-4ec1-b6d5-599c144b7983 · outbound

This paper cites Circulation 117(18), 2395–2399 (2008) 20.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Circulation 117(18), 2395–2399 (2008) 20

Reference 18

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Observation cd7e8b81-546e-491f-8acf-88aac3472e08 · outbound

This paper cites Journal of computer and system sciences 55(1), 119–139 (1997).

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Journal of computer and system sciences 55(1), 119–139 (1997)

Reference 19

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Observation 64b98204-d43c-4fdf-b657-71c87f5e7050 · outbound

This paper cites Statistics and its Interface 2(3), 349–360 (2009).

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Statistics and its Interface 2(3), 349–360 (2009)

Reference 20

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Observation ad825b61-fe87-4396-9874-e49618c5d6ed · outbound

This paper cites In: Advances in Neural Information Processing Systems, pp.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection In: Advances in Neural Information Processing Systems, pp

Reference 21

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Observation 4097af4d-0608-4d77-9dd2-dffcb519cfb3 · outbound

This paper cites Machine learning 20, 273–297 (1995).

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Machine learning 20, 273–297 (1995)

Reference 22

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Observation dda90244-20a9-4f0b-a527-bfc0d14e64e2 · outbound

This paper cites the Journal of machine Learning research 12, 2825–2830 (2011).

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection the Journal of machine Learning research 12, 2825–2830 (2011)

Reference 23

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Observation b19e0263-a724-4998-915e-37ec390870b2 · outbound

This paper cites In: Advances in Neural Information Processing Systems, pp.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection In: Advances in Neural Information Processing Systems, pp

Reference 24

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Observation 8bc151cf-2a62-4a64-b08d-859bd36322b5 · outbound

This paper cites an unresolved cited work.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Unresolved cited work

Reference 25

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6ee8d433-ce01-4775-8ae2-3436098ee777 · outbound

This paper cites In: 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), pp.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection In: 2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), pp

Reference 26

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 158f0f54-9a1d-45f6-8150-c4da34bbc3aa · outbound

This paper cites Journal of artificial intelligence research 16, 321–357 (2002).

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Journal of artificial intelligence research 16, 321–357 (2002)

Reference 27

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Unavailable: canonical work link unavailable.

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Observation e21d5f3e-107c-474d-b12a-50a7e36e6277 · outbound

This paper cites Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1 (2011) https://doi.org/10.

Efficient Bitcoin Address Classification Using Quantum-Inspired Feature Selection Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 1 (2011) https://doi.org/10

Reference 28

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