Paper Citation Record · LEDGER

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music

As of 14 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2608.06903.

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

pith.paper-citation-record.v1
2608.06903 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:44:12.790403Z

measured 35 of 35 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

35 of 35 outbound references displayed

verified exact0
verified fuzzy26
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97674fab-b148-40d7-96a2-b1174685049d · outbound

This paper cites The ai index 2025 annual report.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music The ai index 2025 annual report

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.309235Z

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.

Observation c048afd8-dbab-44a7-826b-66d622c969ab · outbound

This paper cites Cambridgeuniversity press, 2000.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Cambridgeuniversity press, 2000

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.293582Z

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.

Observation 02a0447c-63ce-4c4b-8de3-2676b8c94b08 · outbound

This paper cites A survey on deep learning for symbolic music generation: Representations, algorithms, evaluations, and challenges.ACM Computing Surveys, May 2023.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music A survey on deep learning for symbolic music generation: Representations, algorithms, evaluations, and challenges.ACM Computing Surveys, May 2023

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T18:44:12.664904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cef2f27a-dae3-4fef-930c-49b8feb503a1 · outbound

This paper cites Natural language processing methods for symbolic music generation and information retrieval: A survey.ACM Computing Surveys, 57(7):1–40, 2025.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Natural language processing methods for symbolic music generation and information retrieval: A survey.ACM Computing Surveys, 57(7):1–40, 2025

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.282214Z

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.

Observation cfc5efbc-eea2-4bd2-82bc-9a7143e8b551 · outbound

This paper cites Deep learning in music recommendation systems.Frontiers in Applied Mathematics and Statistics, 5:44, 2019.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Deep learning in music recommendation systems.Frontiers in Applied Mathematics and Statistics, 5:44, 2019

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.271774Z

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.

Observation 3aeab46e-8983-443a-9248-db21dd7f1b94 · outbound

This paper cites The usage of artificial intelli- gence technology in music education system under deep learning.Ieee Access, 12:130546–130556, 2024.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music The usage of artificial intelli- gence technology in music education system under deep learning.Ieee Access, 12:130546–130556, 2024

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.261051Z

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.

Observation 7af01ade-d711-4585-9d7f-d924e6408f16 · outbound

This paper cites Afirstlookatgenerativeartifi- cial intelligence based music therapy for mental disorders.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Afirstlookatgenerativeartifi- cial intelligence based music therapy for mental disorders

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.250013Z

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.

Observation 560f02dd-179f-413c-aecb-dfcfa7076d31 · outbound

This paper cites an unresolved cited work.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:44:13.238656Z

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.

Observation 5bccd6f8-a619-4292-bbd0-2f4c0ef0a8f4 · outbound

This paper cites Springer, 2020.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Springer, 2020

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.226810Z

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.

Observation d1e286f9-dfdc-456b-b2ac-b370c3a3e444 · outbound

This paper cites an unresolved cited work.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:44:13.214358Z

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.

Observation 3a861152-f1a7-4b97-9604-e4fa8ded9f28 · outbound

This paper cites an unresolved cited work.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:44:13.202401Z

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.

Observation bdd04593-e43c-4f88-b622-a5eb234ef3b0 · outbound

This paper cites instrumental.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music instrumental

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.190039Z

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.

Observation cc98f2b7-bb60-4705-b299-ce3adb40961d · outbound

This paper cites An expert system for harmonizing four- part chorales.Computer Music Journal, 12(3):43–51, 1988.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music An expert system for harmonizing four- part chorales.Computer Music Journal, 12(3):43–51, 1988

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.178573Z

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.

Observation b602c146-618b-487d-a3d5-501160c4ab54 · outbound

This paper cites Multiple viewpoint systems for music prediction.Journal of New Music Research, 24(1):51–73, 1995.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Multiple viewpoint systems for music prediction.Journal of New Music Research, 24(1):51–73, 1995

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.166670Z

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.

Observation 812757de-0123-4d00-ab38-ccbfeb5e613a · outbound

This paper cites Convolutionalrecurrentneuralnetworks for music classification.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Convolutionalrecurrentneuralnetworks for music classification

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.155756Z

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.

Observation bfa220e8-a08a-4cbf-a78e-ca00642cf534 · outbound

This paper cites Findingtemporal structure in music: Blues improvisation with lstm recur- rent networks.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Findingtemporal structure in music: Blues improvisation with lstm recur- rent networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.144956Z

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.

Observation 9308ef00-7197-4f7c-aa2b-64bb60d108b6 · outbound

This paper cites Musegan: Multi-track sequential generative adversarial networks for symbolic music generation and accompaniment.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Musegan: Multi-track sequential generative adversarial networks for symbolic music generation and accompaniment

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.133821Z

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.

Observation 304b7aa5-b024-46bc-ab03-e3c809c01c30 · outbound

This paper cites Music Transformer.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Music Transformer

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T18:44:12.727565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ddd9e8-d2de-47c3-ad66-9185a88d98ef · outbound

This paper cites Noise2Music: Text-conditioned Music Generation with Diffusion Models.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Noise2Music: Text-conditioned Music Generation with Diffusion Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T18:44:12.731924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 786b7152-3482-40c8-8261-e102682d0d20 · outbound

This paper cites A spiking neural network inspired by neuroscience and psychology forwesternmode-andkey-conditionedmusiclearningand composition.Scientific Reports, 16(1):12956, 2026.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music A spiking neural network inspired by neuroscience and psychology forwesternmode-andkey-conditionedmusiclearningand composition.Scientific Reports, 16(1):12956, 2026

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.123804Z

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.

Observation d01292dc-d09a-44ce-8df3-87517abdfd2f · outbound

This paper cites Foundation Models for Music: A Survey.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Foundation Models for Music: A Survey

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T18:44:12.741007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c925169e-6a83-4163-9278-9e1a28253e97 · outbound

This paper cites Notagen: advancing musicality in symbolic music generation with large language model training paradigms.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Notagen: advancing musicality in symbolic music generation with large language model training paradigms

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.113555Z

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.

Observation 2f129093-1024-4575-9afa-fb67d0ad9193 · outbound

This paper cites John Wiley & Sons, 2022.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music John Wiley & Sons, 2022

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.103256Z

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.

Observation b73fef97-18fe-4557-8e54-64c1359ed748 · outbound

This paper cites A Survey on Multimodal Music Emotion Recognition.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music A Survey on Multimodal Music Emotion Recognition

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T18:44:12.753401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 455741e5-94e0-4412-9782-217421da4733 · outbound

This paper cites The psychological basis of musicappreciation: Structure,self,source.Psychological Review, 130(1):260, 2023.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music The psychological basis of musicappreciation: Structure,self,source.Psychological Review, 130(1):260, 2023

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.092375Z

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.

Observation 8e7024f2-c8b8-462c-8f41-53db26d27cf0 · outbound

This paper cites Psychology Press, 2006.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Psychology Press, 2006

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.079931Z

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.

Observation 547b4923-3ce9-4bc1-8328-904fb7986e16 · outbound

This paper cites Music, health, and well-being: A review.International journal of qualitative studies on health and well-being, 8(1):20635, 2013.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Music, health, and well-being: A review.International journal of qualitative studies on health and well-being, 8(1):20635, 2013

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.068939Z

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.

Observation e8593d0e-1292-454c-bd11-033abab67063 · outbound

This paper cites Popular music, cul- tural memory, and heritage, 2016.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Popular music, cul- tural memory, and heritage, 2016

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.057176Z

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.

Observation 6bba682b-0008-4463-9846-a06868dbb7de · outbound

This paper cites Compu- tational copyright: Towards a royalty model for music generative ai.arXiv preprint arXiv:2312.06646, 2023.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Compu- tational copyright: Towards a royalty model for music generative ai.arXiv preprint arXiv:2312.06646, 2023

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T18:44:12.770836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52a52e28-add8-404e-9a5a-3227df195c8e · outbound

This paper cites Kluwer Law International BV, 2025.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Kluwer Law International BV, 2025

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.044861Z

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.

Observation c207c950-06ec-43d2-9b5a-676fe84e40f3 · outbound

This paper cites Artificial intelligence, post-work and musiclabor.INSAMJournalofContemporaryMusic, Art and Technology, (12):32–45, 2024.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Artificial intelligence, post-work and musiclabor.INSAMJournalofContemporaryMusic, Art and Technology, (12):32–45, 2024

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.032669Z

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.

Observation 8452f1f1-0588-4aca-af00-c8749a4b161b · outbound

This paper cites Fairness of large music models: From a culturally diverse perspective.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Fairness of large music models: From a culturally diverse perspective

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.019536Z

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.

Observation 4a774174-34e0-46ea-ad20-37fcda502163 · outbound

This paper cites Musicians’ ethical concerns about ai: an interview study.AI & SOCIETY, 41(2): 1075–1088, 2026.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Musicians’ ethical concerns about ai: an interview study.AI & SOCIETY, 41(2): 1075–1088, 2026

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:13.005465Z

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.

Observation 80e06f75-97f4-4271-9fa0-8d2622371327 · outbound

This paper cites Convention on the protection and promotion of the diversity of cultural expressions.https://www.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Convention on the protection and promotion of the diversity of cultural expressions.https://www

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:12.992122Z

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.

Observation 28d3d200-1300-4ec0-bc62-817abb34d82f · outbound

This paper cites Non-technical / Not model-focused.

Where Does AI Innovation Go? Measuring Research Attention Imbalance in AI Music Non-technical / Not model-focused

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:44:12.978245Z

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.

Pith citing papers

No inbound Pith citation observations are available.