Paper Citation Record · LEDGER

Music Genre Classification Using Machine Learning Techniques

As of 15 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2509.01762.

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

pith.paper-citation-record.v1
2509.01762 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T12:15:17.531757Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

30 of 30 outbound references displayed

verified exact1
verified fuzzy28
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da274a12-4f87-478f-aadc-e2ccf8cf5459 · outbound

This paper cites and Yu, D., 2014.

Music Genre Classification Using Machine Learning Techniques and Yu, D., 2014

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.680388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5837370e-cccc-4ebc-86f7-9b44b502287d · outbound

This paper cites Music Genre Classification using Machine Learning Techniques.

Music Genre Classification Using Machine Learning Techniques Music Genre Classification using Machine Learning Techniques

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-05T12:15:17.654741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aac12a5b-dc62-46be-aed3-aea5b61fe29c · outbound

This paper cites and Kaestner, C.A., 2008, October.

Music Genre Classification Using Machine Learning Techniques and Kaestner, C.A., 2008, October

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.646895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b53f99e3-569c-4677-ba91-ea03ceed5eef · outbound

This paper cites and Kumar, V.V., 2019, March.

Music Genre Classification Using Machine Learning Techniques and Kumar, V.V., 2019, March

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.619751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b0eec3fe-5690-422f-b32a-4ef9571110fc · outbound

This paper cites and Aydin, N., 2020, September.

Music Genre Classification Using Machine Learning Techniques and Aydin, N., 2020, September

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.593591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation bed4c3a4-f917-4027-a952-bf4fbf4e0ac4 · outbound

This paper cites and Sharma, G., 2020.

Music Genre Classification Using Machine Learning Techniques and Sharma, G., 2020

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.559380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 153c4f21-4876-40d7-afb7-88a916c59493 · outbound

This paper cites and Dogo, E.M., 2021.

Music Genre Classification Using Machine Learning Techniques and Dogo, E.M., 2021

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.531827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eee56eaa-a89a-4d9f-b44f-ce105b4ef1ba · outbound

This paper cites and Mermelstein, P., 1990.

Music Genre Classification Using Machine Learning Techniques and Mermelstein, P., 1990

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.501694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3d1aa2d0-afd1-43a9-a8f7-80e1c8fc3fb8 · outbound

This paper cites Greedy function approxi- mation: a gradient boosting machine.

Music Genre Classification Using Machine Learning Techniques Greedy function approxi- mation: a gradient boosting machine

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.465119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6246c29e-c30e-48c0-bb40-5acd4a2f1270 · outbound

This paper cites and Ritter, M., 2017, March.

Music Genre Classification Using Machine Learning Techniques and Ritter, M., 2017, March

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.427055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e1265b58-2b55-441b-b08e-6bc4b7697aee · outbound

This paper cites and Delerue, O., 2000.

Music Genre Classification Using Machine Learning Techniques and Delerue, O., 2000

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.393772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a937b8be-2bc9-4d7a-b2f4-af5276112457 · outbound

This paper cites and Kurth, F., 2010, January.

Music Genre Classification Using Machine Learning Techniques and Kurth, F., 2010, January

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.360800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 21036d19-8c1f-46cd-813e-477dfc8ac699 · outbound

This paper cites and Friedman, J.,.

Music Genre Classification Using Machine Learning Techniques and Friedman, J.,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.319140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fb0b9969-d72f-414b-b689-4bea3b50e60d · outbound

This paper cites and Woraratpa- nya, T., 2012, March.

Music Genre Classification Using Machine Learning Techniques and Woraratpa- nya, T., 2012, March

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.249336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f0ccd3b2-48e4-4be9-85cd-32566f96c7ec · outbound

This paper cites and Cai, L.H., 2002, July.

Music Genre Classification Using Machine Learning Techniques and Cai, L.H., 2002, July

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.208309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 82f06708-a78e-439c-be30-e15843d1a047 · outbound

This paper cites and Schoner, B., 2012.

Music Genre Classification Using Machine Learning Techniques and Schoner, B., 2012

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.175916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b5ff14d4-d8ae-49e4-8dfb-c72ec8b6869f · outbound

This paper cites and Hinton, G.E.,.

Music Genre Classification Using Machine Learning Techniques and Hinton, G.E.,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.126606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9a2836c8-ee26-4cb5-bac5-b7f32d2a936b · outbound

This paper cites and Chun, A., 2010, Oc- tober.

Music Genre Classification Using Machine Learning Techniques and Chun, A., 2010, Oc- tober

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.049346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6bd41f51-e1f8-49c7-937b-d5b9e7c71362 · outbound

This paper cites and Rauber, A., 2005, September.

Music Genre Classification Using Machine Learning Techniques and Rauber, A., 2005, September

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.022787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5ce83483-c4b1-46b6-b7f7-d4c8daa4e072 · outbound

This paper cites and Schindler, A., 2016, August.

Music Genre Classification Using Machine Learning Techniques and Schindler, A., 2016, August

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:17.994369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8aaeef2a-cfb3-454c-9a47-c65d5aa0d530 · outbound

This paper cites and Ellis, D.P., 2005.

Music Genre Classification Using Machine Learning Techniques and Ellis, D.P., 2005

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:17.941405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation de83f072-752e-413f-b3d5-fe4654e5de6a · outbound

This paper cites and Lumini, A., 2016.

Music Genre Classification Using Machine Learning Techniques and Lumini, A., 2016

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:17.907000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e6219a68-01ff-48a3-8d54-6faaa32f0c54 · outbound

This paper cites Feature selection for music genre classification.

Music Genre Classification Using Machine Learning Techniques Feature selection for music genre classification

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:17.859386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation df01e073-abb0-4485-9bef-69c9ad735ee7 · outbound

This paper cites and Le, Q.V., 2019.

Music Genre Classification Using Machine Learning Techniques and Le, Q.V., 2019

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:17.804972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0f6fb9e6-66b6-4bf4-971c-b10104bb891f · outbound

This paper cites and Zoia, G., 2005.

Music Genre Classification Using Machine Learning Techniques and Zoia, G., 2005

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:17.766650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 06ffdec8-a95a-4a7c-a062-6e99f721649e · outbound

This paper cites and Batra, D., 2017.

Music Genre Classification Using Machine Learning Techniques and Batra, D., 2017

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:17.734296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d7788671-2e02-4637-a07f-880130d49e9d · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Music Genre Classification Using Machine Learning Techniques Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T12:15:17.523555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6b4daf7-17a1-4443-94d4-2daf2b0d3d89 · outbound

This paper cites and Waibel, A., 1998.

Music Genre Classification Using Machine Learning Techniques and Waibel, A., 1998

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:17.697834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fbff18bb-3056-4d74-b19e-af1710282d67 · outbound

This paper cites Springer Series in Statistics.

Music Genre Classification Using Machine Learning Techniques Springer Series in Statistics

Reference 2001

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.280629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 4fe9376b-04a8-4d10-a863-87a568615080 · outbound

This paper cites Advances in neural in- formation processing systems, 25.

Music Genre Classification Using Machine Learning Techniques Advances in neural in- formation processing systems, 25

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:15:18.095752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.