Paper Citation Record · LEDGER

Improving AI-generated music with user-guided training

As of 21 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.04852.

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

pith.paper-citation-record.v1
2506.04852 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:38:32.721929Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy23
unresolved2
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malformed identifier2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9b1336a6-26a5-467c-acad-f3af2e0d501a · outbound

This paper cites Generative Adversarial Nets.

Improving AI-generated music with user-guided training Generative Adversarial Nets

Reference 1

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Source-reported events for the cited work

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Observation 3636e60f-1f2f-4ebd-adc3-7c391f4d02a0 · outbound

This paper cites Attention is all you need.

Improving AI-generated music with user-guided training Attention is all you need

Reference 2

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Source-reported events for the cited work

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Observation 890e0d4c-6ddd-4b36-b389-8d8f8a510379 · outbound

This paper cites Zero-shot text- to-image generation.

Improving AI-generated music with user-guided training Zero-shot text- to-image generation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:37.287866Z

Source-reported events for the cited work

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Observation ac8f8b7f-88c6-43c0-85d3-eb6dd20ab070 · outbound

This paper cites Scaling autoregressive models for content-rich text-to-image generation.

Improving AI-generated music with user-guided training Scaling autoregressive models for content-rich text-to-image generation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:37.142116Z

Source-reported events for the cited work

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Observation 5e4f816b-c40a-4de8-a2c3-0ca3b7513c99 · outbound

This paper cites Neural discrete representation learning.

Improving AI-generated music with user-guided training Neural discrete representation learning

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:36.972804Z

Source-reported events for the cited work

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Observation db75b073-49d9-4a20-9057-f9480510ef3d · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Improving AI-generated music with user-guided training High-resolution image synthesis with latent diffusion models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:36.792300Z

Source-reported events for the cited work

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Observation 91378e7e-948a-4bb4-9e67-c3409702f2de · outbound

This paper cites Scalable diffusion models with transformers.

Improving AI-generated music with user-guided training Scalable diffusion models with transformers

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:36.642746Z

Source-reported events for the cited work

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Observation 1037937d-9377-4138-a4a0-866b4eda5c77 · outbound

This paper cites Markov Melody Generator; 2011.

Improving AI-generated music with user-guided training Markov Melody Generator; 2011

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:36.469414Z

Source-reported events for the cited work

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Observation 6ce35cfb-730a-4eec-8676-fdba85116ec7 · outbound

This paper cites Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network.

Improving AI-generated music with user-guided training Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

Reference 9

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Source-reported events for the cited work

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Observation a6cce58a-7a0e-45ac-af4d-138bc3f0f1ef · outbound

This paper cites Long Short-Term Memory.

Improving AI-generated music with user-guided training Long Short-Term Memory

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:36.335823Z

Source-reported events for the cited work

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Observation 7f03fe52-8eac-4db7-98f3-c393141ac962 · outbound

This paper cites A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music; 2019.

Improving AI-generated music with user-guided training A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music; 2019

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:36.176970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3af7c410-1e03-4f7f-b61b-6250ecda3099 · outbound

This paper cites Jukebox: A genera- tive model for music.

Improving AI-generated music with user-guided training Jukebox: A genera- tive model for music

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:36.019252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe8b5d45-b732-4165-bd7a-36eb90ba88e2 · outbound

This paper cites GANSynth: Adversarial Neural Audio Synthesis; 2019.

Improving AI-generated music with user-guided training GANSynth: Adversarial Neural Audio Synthesis; 2019

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:35.768064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a8e90a45-3b3f-437c-a3b0-e47c78c4cedf · outbound

This paper cites Riffusion - Stable diffusion for real-time music generation.

Improving AI-generated music with user-guided training Riffusion - Stable diffusion for real-time music generation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:35.578870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d26120ef-524d-4a02-9260-5f0254d79ba9 · outbound

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

Improving AI-generated music with user-guided training Noise2Music: Text-conditioned Music Generation with Diffusion Models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:35.187138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c5e9ea77-f96e-4832-9da2-3471ad1e5b8b · outbound

This paper cites Moˆusai: Text-to-Music Generation with Long-Context Latent Diffusion; 2023.

Improving AI-generated music with user-guided training Moˆusai: Text-to-Music Generation with Long-Context Latent Diffusion; 2023

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bdeb44ff-5ef9-48b9-a7e8-f03c86a8e661 · outbound

This paper cites Human Computation: A Survey and Taxonomy of a Growing Field.

Improving AI-generated music with user-guided training Human Computation: A Survey and Taxonomy of a Growing Field

Reference 17

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Source-reported events for the cited work

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Observation ad8c7736-07e7-42e8-b3b7-1327dfac05d2 · outbound

This paper cites Toward a quality model for hybrid intelligence teams.

Improving AI-generated music with user-guided training Toward a quality model for hybrid intelligence teams

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:34.802570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bbd1f238-a19f-453b-adc1-c99b2ed79446 · outbound

This paper cites HI-TAM, a hybrid intelligence framework for training and adoption of generative design assistants.

Improving AI-generated music with user-guided training HI-TAM, a hybrid intelligence framework for training and adoption of generative design assistants

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:34.564382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ac5dabd6-e30a-4914-aa14-a34245088b45 · outbound

This paper cites Denoising diffusion implicit models.

Improving AI-generated music with user-guided training Denoising diffusion implicit models

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:34.348380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5390ff83-ce60-4258-82ec-5e3ec09b648c · outbound

This paper cites Denoising diffusion probabilistic models.

Improving AI-generated music with user-guided training Denoising diffusion probabilistic models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:34.207264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 12d35ce8-8cf7-45f2-a8ff-4b02de24ff2a · outbound

This paper cites Spherical linear interpolation and B ´ezier curves.

Improving AI-generated music with user-guided training Spherical linear interpolation and B ´ezier curves

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:34.005216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ed5173b5-bb0a-4e21-bd06-a40b4f9aa5ad · outbound

This paper cites Deep metric learning: A survey.

Improving AI-generated music with user-guided training Deep metric learning: A survey

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:33.814232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b4dca91-bb12-44e8-b48a-0ee2438c6160 · outbound

This paper cites Audio Diffusion.

Improving AI-generated music with user-guided training Audio Diffusion

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:33.646135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c5c2ff12-238b-4a6b-9767-a2140006b4f0 · outbound

This paper cites Facing the cold start problem in recommender systems.

Improving AI-generated music with user-guided training Facing the cold start problem in recommender systems

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:33.392729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation baa39674-b4dd-421e-9730-2aeea3d817d5 · outbound

This paper cites Characterizing the influence of confirmation bias on web search behavior.

Improving AI-generated music with user-guided training Characterizing the influence of confirmation bias on web search behavior

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:38:33.201262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5ee4f25e-bd06-4ff7-b317-a613101d76e0 · outbound

This paper cites an unresolved cited work.

Improving AI-generated music with user-guided training Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:38:35.357929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.