Paper Citation Record · LEDGER

Tuning Music Education: AI-Powered Personalization in Learning Music

As of 23 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2412.13514.

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

pith.paper-citation-record.v1
2412.13514 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:05:08.765547Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

47 of 47 outbound references displayed

verified exact1
verified fuzzy43
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5b9869d-941a-4b4b-87b8-acbc18d0bea2 · outbound

This paper cites Deep learning with audio: An explorative syllabus for music composition and production.

Tuning Music Education: AI-Powered Personalization in Learning Music Deep learning with audio: An explorative syllabus for music composition and production

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:10.389569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 63c0ed31-f6cf-4d59-b2e3-07b0cd0c0bd7 · outbound

This paper cites Simple and controllable music generation.

Tuning Music Education: AI-Powered Personalization in Learning Music Simple and controllable music generation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:10.352285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2049cd33-56c0-4f04-81be-9eb59d25316f · outbound

This paper cites Jukebox: A Generative Model for Music.

Tuning Music Education: AI-Powered Personalization in Learning Music Jukebox: A Generative Model for Music

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T13:05:08.360693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6878952f-f89a-4aef-8df5-1bd29120ce4c · outbound

This paper cites A hierarchical latent vector model for learning long-term structure in music.

Tuning Music Education: AI-Powered Personalization in Learning Music A hierarchical latent vector model for learning long-term structure in music

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:10.320072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 465eb359-18a7-460c-a012-e5fdbe35d32d · outbound

This paper cites Music ai’s potential impact: Scoping the terms of the debate about value.

Tuning Music Education: AI-Powered Personalization in Learning Music Music ai’s potential impact: Scoping the terms of the debate about value

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:10.286053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fb0a2374-494b-484a-863d-4de83a7ef792 · outbound

This paper cites Music training for the development of auditory skills.

Tuning Music Education: AI-Powered Personalization in Learning Music Music training for the development of auditory skills

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:10.253098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 71a86bf1-1a7d-4a37-b3f7-0c28433487b3 · outbound

This paper cites Music glocalization: Heritage and innovation in a digital age.

Tuning Music Education: AI-Powered Personalization in Learning Music Music glocalization: Heritage and innovation in a digital age

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:10.213101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e037f3cc-77d1-41c7-9004-94f3aeb61d8e · outbound

This paper cites Music education students’ intrinsic and extrinsic motivation: A quantsitative analysis of personal narratives.

Tuning Music Education: AI-Powered Personalization in Learning Music Music education students’ intrinsic and extrinsic motivation: A quantsitative analysis of personal narratives

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:10.170315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b4459973-a516-4c92-b374-2ba671c96257 · outbound

This paper cites Popular music education: A white paper by the association for popular music education.

Tuning Music Education: AI-Powered Personalization in Learning Music Popular music education: A white paper by the association for popular music education

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:10.134525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5cfe065d-3b86-4c82-98e5-85b5759a6d4d · outbound

This paper cites A systematic literature review of personalized learning terms.

Tuning Music Education: AI-Powered Personalization in Learning Music A systematic literature review of personalized learning terms

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T13:05:08.430582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f0e5811-fb75-41f0-ae04-89e88f1822b6 · outbound

This paper cites what" and.

Tuning Music Education: AI-Powered Personalization in Learning Music what" and

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:10.071579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b218b76f-cd22-4a2e-8d90-58e634dc17f4 · outbound

This paper cites Make it stick: The science of successful learning.

Tuning Music Education: AI-Powered Personalization in Learning Music Make it stick: The science of successful learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:10.038753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8a24dc23-1111-48fc-b21f-4e3bbbbc0fad · outbound

This paper cites personalizing.

Tuning Music Education: AI-Powered Personalization in Learning Music personalizing

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:10.011955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0ec2f5ba-8017-4112-ac34-dc08aa45bc23 · outbound

This paper cites Renwick and Johnmarshall Reeve.

Tuning Music Education: AI-Powered Personalization in Learning Music Renwick and Johnmarshall Reeve

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.983204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d4f0c204-0c2a-4646-81b3-d4e6880e12e2 · outbound

This paper cites Music education and emotional engagement.

Tuning Music Education: AI-Powered Personalization in Learning Music Music education and emotional engagement

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.949171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c35635f-614e-4801-bdb5-554080715a72 · outbound

This paper cites Applying research in motivation and learning to music education: What the experts say.

Tuning Music Education: AI-Powered Personalization in Learning Music Applying research in motivation and learning to music education: What the experts say

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.912129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cdc64287-9542-4450-92fe-b30b4b7d10b7 · outbound

This paper cites Self-determination theory: An approach to motivation in music education.

Tuning Music Education: AI-Powered Personalization in Learning Music Self-determination theory: An approach to motivation in music education

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.886799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c9369388-7662-43f5-bf0f-4f83f90f225e · outbound

This paper cites Coming of age: Teaching and learning popular music in academia.

Tuning Music Education: AI-Powered Personalization in Learning Music Coming of age: Teaching and learning popular music in academia

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.854765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee2bf969-b979-406c-b4dd-201cd72beaed · outbound

This paper cites The elephant in the room.

Tuning Music Education: AI-Powered Personalization in Learning Music The elephant in the room

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.814562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 101b0704-3d16-4852-8d6b-3607fe04faf9 · outbound

This paper cites Popular music pedagogies: An approach to teaching 21st-century skills.

Tuning Music Education: AI-Powered Personalization in Learning Music Popular music pedagogies: An approach to teaching 21st-century skills

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.793108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15476e32-7c57-4990-9436-af8e0904be2d · outbound

This paper cites Music education at the tipping point.

Tuning Music Education: AI-Powered Personalization in Learning Music Music education at the tipping point

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.762185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bb3b73d7-8ebf-4516-ab8b-0177ef7ef3a8 · outbound

This paper cites other 80%:.

Tuning Music Education: AI-Powered Personalization in Learning Music other 80%:

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.731538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 50aae4ee-21dd-4b61-8431-0875372a59cf · outbound

This paper cites Application of generative artificial intelligence (genai) in language teaching and learning: A scoping literature review.

Tuning Music Education: AI-Powered Personalization in Learning Music Application of generative artificial intelligence (genai) in language teaching and learning: A scoping literature review

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.698273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1c6dae52-e47f-4e90-9e1f-191cdd97430d · outbound

This paper cites 20 years of automatic chord recognition from audio.

Tuning Music Education: AI-Powered Personalization in Learning Music 20 years of automatic chord recognition from audio

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.661651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9050d0d1-28b2-46df-92ea-809437433db8 · outbound

This paper cites Beatnet: Crnn and particle filtering for online joint beat downbeat and meter tracking.

Tuning Music Education: AI-Powered Personalization in Learning Music Beatnet: Crnn and particle filtering for online joint beat downbeat and meter tracking

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.637294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 549af4aa-cc33-4543-a340-cb94a749b0d9 · outbound

This paper cites Automatic music transcription: An overview.

Tuning Music Education: AI-Powered Personalization in Learning Music Automatic music transcription: An overview

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.604301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6ad8773b-fb92-4662-b829-269237140c30 · outbound

This paper cites MT3: Multi-Task Multitrack Music Transcription.

Tuning Music Education: AI-Powered Personalization in Learning Music MT3: Multi-Task Multitrack Music Transcription

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T13:05:08.567915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caf4d8e9-29c5-4609-a51f-19d2e9ed6bbf · outbound

This paper cites Automatic music transcription and instrument transposition with differentiable rendering.

Tuning Music Education: AI-Powered Personalization in Learning Music Automatic music transcription and instrument transposition with differentiable rendering

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.577307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a05bdbfc-0314-490a-a630-1ab37f79f704 · outbound

This paper cites High-resolution piano transcription with pedals by regressing onset and offset times.

Tuning Music Education: AI-Powered Personalization in Learning Music High-resolution piano transcription with pedals by regressing onset and offset times

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.535444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 723e6143-af06-443e-8f0a-4c9eee0be2a4 · outbound

This paper cites Picogen: Generate piano covers with a two-stage approach.

Tuning Music Education: AI-Powered Personalization in Learning Music Picogen: Generate piano covers with a two-stage approach

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.507659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2a3a5223-7875-4761-8a03-b2939cb70209 · outbound

This paper cites PiCoGen2: Piano cover generation with transfer learning approach and weakly aligned data.

Tuning Music Education: AI-Powered Personalization in Learning Music PiCoGen2: Piano cover generation with transfer learning approach and weakly aligned data

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-11T13:05:08.861403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67f8fda9-5380-4a2c-bb63-77f10836961a · outbound

This paper cites Pop2piano: Pop audio-based piano cover generation.

Tuning Music Education: AI-Powered Personalization in Learning Music Pop2piano: Pop audio-based piano cover generation

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.482937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d8fc9aa8-530a-4f15-af69-1844451335b6 · outbound

This paper cites Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper.

Tuning Music Education: AI-Powered Personalization in Learning Music Guidelines: • The answer NA means that the abstract and introduction do not include the claims made in the paper

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.454107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d89f6c3d-90a9-46ba-9688-283ab5c917ff · outbound

This paper cites Limitations.

Tuning Music Education: AI-Powered Personalization in Learning Music Limitations

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.419353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bc33d408-702f-4745-89a4-792c74626885 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include theoretical results.

Tuning Music Education: AI-Powered Personalization in Learning Music Guidelines: • The answer NA means that the paper does not include theoretical results

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.386604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 67a52cfe-5bc6-4b2e-afb2-4a07659b01b2 · outbound

This paper cites As well, links to all the software products, libraries and papers used.

Tuning Music Education: AI-Powered Personalization in Learning Music As well, links to all the software products, libraries and papers used

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.343433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 23a9b361-ea60-44bc-9d1f-296eb0ebf560 · outbound

This paper cites However, the service used (Piano2Notes) is not open source, so we have provided the output we received from the service.

Tuning Music Education: AI-Powered Personalization in Learning Music However, the service used (Piano2Notes) is not open source, so we have provided the output we received from the service

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.294855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 22295369-4f20-45cd-991e-6c814d9a91d7 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Tuning Music Education: AI-Powered Personalization in Learning Music Guidelines: • The answer NA means that the paper does not include experiments

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.271937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 30298fa2-d60e-432d-ad30-40ad1cc5268e · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Tuning Music Education: AI-Powered Personalization in Learning Music Guidelines: • The answer NA means that the paper does not include experiments

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.239459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2df04251-f51f-46a0-9af3-c234cc7f6805 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not include experiments.

Tuning Music Education: AI-Powered Personalization in Learning Music Guidelines: • The answer NA means that the paper does not include experiments

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.200788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b9c274e3-1368-4ec3-b900-dc810c478fb5 · outbound

This paper cites Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics.

Tuning Music Education: AI-Powered Personalization in Learning Music Guidelines: • The answer NA means that the authors have not reviewed the NeurIPS Code of Ethics

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.169695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8e0a0f1a-0c48-4d08-a49c-5221beab23f4 · outbound

This paper cites Guidelines: • The answer NA means that there is no societal impact of the work performed.

Tuning Music Education: AI-Powered Personalization in Learning Music Guidelines: • The answer NA means that there is no societal impact of the work performed

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.128138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cd780a0b-d727-422b-b363-64cf9867acb3 · outbound

This paper cites Guidelines: • The answer NA means that the paper poses no such risks.

Tuning Music Education: AI-Powered Personalization in Learning Music Guidelines: • The answer NA means that the paper poses no such risks

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.089017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bb157d77-f4a9-4343-8da9-aa754edcb4b8 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not use existing assets.

Tuning Music Education: AI-Powered Personalization in Learning Music Guidelines: • The answer NA means that the paper does not use existing assets

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.057482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1acf0aef-acc1-4bc7-8750-da80c4601500 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not release new assets.

Tuning Music Education: AI-Powered Personalization in Learning Music Guidelines: • The answer NA means that the paper does not release new assets

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:09.024520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 475863e2-8ebf-4830-bb02-f0e17161dd5d · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Tuning Music Education: AI-Powered Personalization in Learning Music Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:08.997375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation beba5da3-706c-45e6-a968-2bc4ba2551c3 · outbound

This paper cites Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects.

Tuning Music Education: AI-Powered Personalization in Learning Music Guidelines: • The answer NA means that the paper does not involve crowdsourcing nor research with human subjects

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T13:05:08.960384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.