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Paper Citation Record · LEDGER

Benchmarking Music Generation Models and Metrics via Human Preference Studies

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.19085.

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

pith.paper-citation-record.v1
2506.19085 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:41:08.363814Z

measured 28 of 28 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

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved19
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db3d388d-bab2-4c93-821d-d88ad442e6a3 · outbound

This paper cites Fr\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Fr\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms

Reference 1

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Observation 0d9c23fc-6dd2-4aef-aca4-2798b3948ca4 · outbound

This paper cites Cnn architectures for large-scale audio classification,.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Cnn architectures for large-scale audio classification,

Reference 2

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Observation 439f87fa-8344-4674-9fc1-3a973dc37428 · outbound

This paper cites MusicLM: Generating Music From Text.

Benchmarking Music Generation Models and Metrics via Human Preference Studies MusicLM: Generating Music From Text

Reference 3

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Observation 78c5a8e9-6536-4152-801c-99f0fb94d247 · outbound

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

Benchmarking Music Generation Models and Metrics via Human Preference Studies Riffusion-stable diffusion for real-time music generation,

Reference 4

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Observation 5916771d-dcef-41ff-a9ad-cb66b8d002e1 · outbound

This paper cites Clap learning audio concepts from natural language supervision,.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Clap learning audio concepts from natural language supervision,

Reference 5

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Observation 8061b7cd-a01d-4092-8e4e-6988f14a1807 · outbound

This paper cites Natural language supervision for general-purpose audio representations,.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Natural language supervision for general-purpose audio representations,

Reference 6

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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.

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Observation cdec7458-427f-4e02-8f82-5adf2794f12d · outbound

This paper cites Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation,.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation,

Reference 7

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Observation 2aaa79df-2a5d-42d4-bc10-453bc07881fa · outbound

This paper cites Evaluating generative audio systems and their metrics.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Evaluating generative audio systems and their metrics

Reference 8

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local_arxiv, observed 2026-08-15T18:41:08.480133Z

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

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Observation 43c6233e-a0b0-4a8a-9867-a6117890bf41 · outbound

This paper cites Adapting frechet audio distance for generative music evaluation,.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Adapting frechet audio distance for generative music evaluation,

Reference 9

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Observation 948da723-3b9f-4bab-9a97-4ebdfff51363 · outbound

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

Benchmarking Music Generation Models and Metrics via Human Preference Studies Noise2Music: Text-conditioned Music Generation with Diffusion Models

Reference 10

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Observation 12ce9133-b659-4017-b101-f947b6045844 · outbound

This paper cites The mtg-jamendo dataset for automatic music tagging,.

Benchmarking Music Generation Models and Metrics via Human Preference Studies The mtg-jamendo dataset for automatic music tagging,

Reference 11

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

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Observation 9aae6ff8-95b4-4c42-a807-87e05aeef59f · outbound

This paper cites FMA: A Dataset For Music Analysis.

Benchmarking Music Generation Models and Metrics via Human Preference Studies FMA: A Dataset For Music Analysis

Reference 12

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Observation 72f2aaae-d030-468c-b1f7-64090cb076ff · outbound

This paper cites Evaluation of algorithms using games: The case of music tagging.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Evaluation of algorithms using games: The case of music tagging

Reference 13

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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.

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Observation ad36a96c-4b1e-48a7-8815-61b35ce5ad62 · outbound

This paper cites Simple and controllable music generation,.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Simple and controllable music generation,

Reference 14

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

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Observation 3cb2cbae-4970-43b0-a9ec-6a46b0d4bd85 · outbound

This paper cites AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining.

Benchmarking Music Generation Models and Metrics via Human Preference Studies AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining

Reference 15

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Observation 8b43321c-ee0f-4bd9-95e1-1eab3c52c66b · outbound

This paper cites Mustango: Toward Controllable Text-to-Music Generation.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Mustango: Toward Controllable Text-to-Music Generation

Reference 16

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Observation 7e059e21-6226-4434-ba3a-444a187a3b82 · outbound

This paper cites Fast Timing-Conditioned Latent Audio Diffusion.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Fast Timing-Conditioned Latent Audio Diffusion

Reference 17

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Observation 7fface9f-52f2-4c41-b8f9-8571222e54fa · outbound

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Benchmarking Music Generation Models and Metrics via Human Preference Studies Unresolved cited work

Reference 18

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Observation 2b958d07-60c8-4f05-9ac4-dc7a2cdfefd9 · outbound

This paper cites an unresolved cited work.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Unresolved cited work

Reference 19

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Observation 6819d7d1-2d2e-4750-9187-52b164ec8ce3 · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 20

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Observation 7849a48d-893f-4621-bff4-45d1f5dabc84 · outbound

This paper cites Prolific,.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Prolific,

Reference 21

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

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Observation 80cab03b-9481-4a36-a4ce-843db3560a59 · outbound

This paper cites Amazon mechanical turk,.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Amazon mechanical turk,

Reference 22

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Observation 76add4fe-7dba-4300-8701-84063971fb94 · outbound

This paper cites Data quality in on- line human-subjects research: Comparisons between mturk, prolific, cloudresearch, qualtrics, and sona,.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Data quality in on- line human-subjects research: Comparisons between mturk, prolific, cloudresearch, qualtrics, and sona,

Reference 23

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Observation c422fb56-ed73-4940-9b27-45fb0bb8ba1b · outbound

This paper cites Fast and accurate inference of plackett–luce models,.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Fast and accurate inference of plackett–luce models,

Reference 24

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

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Observation c0bef770-b242-4e22-a1fd-0af386203c05 · outbound

This paper cites Rank analysis of incomplete block designs: I. the method of paired comparisons,.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Rank analysis of incomplete block designs: I. the method of paired comparisons,

Reference 25

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Observation 190a0d05-9adb-4bf5-94f3-2a2709f7b1b2 · outbound

This paper cites Panns: Large-scale pretrained audio neural networks for audio pattern recognition,.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Panns: Large-scale pretrained audio neural networks for audio pattern recognition,

Reference 26

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Observation fb271fd9-322c-4cc7-8e81-a65c6589c74d · outbound

This paper cites High Fidelity Neural Audio Compression.

Benchmarking Music Generation Models and Metrics via Human Preference Studies High Fidelity Neural Audio Compression

Reference 27

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Observation 618987df-e798-44c1-9067-83f2a49f7f3e · outbound

This paper cites Available: http://hdl.handle.net/10230/42015.

Benchmarking Music Generation Models and Metrics via Human Preference Studies Available: http://hdl.handle.net/10230/42015

Reference 2019

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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.

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Pith citing papers

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