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Paper Citation Record · LEDGER

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis

As of 14 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2603.27218.

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Coverage vector

measured 38 of 38 reference resolution

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measured 39 of 39 standing notices

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:17:10.504242Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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  • malformed identifier1
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Outbound references

Observation 486ff310-8905-469c-b622-8dd01dce8cd8 · outbound

This paper cites Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis

Reference 1

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Observation b1703202-8222-4cce-9a04-80f902ba8643 · outbound

This paper cites affinity matrices.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis affinity matrices

Reference 2

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Observation 1824de4c-06e8-4e87-b78a-73e89f40100d · outbound

This paper cites double trimming.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis double trimming

Reference 3

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Observation f95bb972-f1b6-44b8-9749-d3c8fa95a699 · outbound

This paper cites Deep em- beddings achieve the highest scores across all datasets and algorithms, demonstrating clear improvements over spectrogram-based features.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Deep em- beddings achieve the highest scores across all datasets and algorithms, demonstrating clear improvements over spectrogram-based features

Reference 4

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Observation 9440a1dd-882b-429f-81a4-62d3b40a7c57 · outbound

This paper cites an unresolved cited work.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Unresolved cited work

Reference 5

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Observation 49b470c8-26d3-41ae-8313-df2482fc1dd2 · outbound

This paper cites Audio-based music structure analy- sis: Current trends, open challenges, and applications,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Audio-based music structure analy- sis: Current trends, open challenges, and applications,

Reference 6

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Observation bc5f6499-a3bb-4abc-bb37-fb25fc9cb385 · outbound

This paper cites Reductive, exclusionary, normalising: the limits of generative ai music,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Reductive, exclusionary, normalising: the limits of generative ai music,

Reference 7

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Observation 849434ce-78d9-48bb-8321-5467c33e6a8c · outbound

This paper cites Under- standing the potentials and limitations of prompt-based music generative ai,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Under- standing the potentials and limitations of prompt-based music generative ai,

Reference 8

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Observation 22494c37-01b0-4e6f-9801-19b34b3fcdd7 · outbound

This paper cites Automatic audio segmentation using a mea- sure of audio novelty,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Automatic audio segmentation using a mea- sure of audio novelty,

Reference 9

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Observation cdf208af-d1be-4302-a197-a692eb29be3c · outbound

This paper cites Un- supervised music structure annotation by time series structure features and segment similarity,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Un- supervised music structure annotation by time series structure features and segment similarity,

Reference 10

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Observation c1af9351-f9aa-49e7-bcea-aa3a37ad4366 · outbound

This paper cites Analyzing song structure with spectral clustering,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Analyzing song structure with spectral clustering,

Reference 11

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Observation 14910597-eb9e-4a3e-900d-8142134124fc · outbound

This paper cites Barwise music structure analysis with the correlation block- matching segmentation algorithm,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Barwise music structure analysis with the correlation block- matching segmentation algorithm,

Reference 12

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Observation 14fd8490-415d-4ef8-8534-6a79c55b36ea · outbound

This paper cites Unsupervised learning of deep fea- tures for music segmentation,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Unsupervised learning of deep fea- tures for music segmentation,

Reference 13

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Observation cbb3d6cb-217a-4d30-a652-c59d39f76316 · outbound

This paper cites Deep embed- dings and section fusion improve music segmentation,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Deep embed- dings and section fusion improve music segmentation,

Reference 14

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Observation d94620d6-e51a-4f56-a7fd-f9ca462a9245 · outbound

This paper cites Su- pervised metric learning for music structure feature,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Su- pervised metric learning for music structure feature,

Reference 15

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Observation bafd702d-389f-4680-8b16-0bda8c5caaea · outbound

This paper cites Self-supervised learning of multi-level audio repre- sentations for music segmentation,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Self-supervised learning of multi-level audio repre- sentations for music segmentation,

Reference 16

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Observation 3c4f940b-e2e6-4db0-a210-c81897c8c6a1 · outbound

This paper cites Music boundary detection us- ing neural networks on combined features and two- level annotations,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Music boundary detection us- ing neural networks on combined features and two- level annotations,

Reference 17

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Observation d9fcdc97-0ddd-4daf-aaa9-7a3fbc8a8b35 · outbound

This paper cites All-in-one metrical and func- tional structure analysis with neighborhood attentions on demixed audio,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis All-in-one metrical and func- tional structure analysis with neighborhood attentions on demixed audio,

Reference 18

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Observation c508dd91-335f-4864-b4f8-5fe88c6686ac · outbound

This paper cites Using pairwise link prediction and graph attention networks for mu- sic structure analysis,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Using pairwise link prediction and graph attention networks for mu- sic structure analysis,

Reference 19

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Observation 9f92f5e7-c27c-4962-baaf-dc548031901d · outbound

This paper cites Do foundational audio encoders un- derstand music structure?.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Do foundational audio encoders un- derstand music structure?

Reference 20

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Observation fd79b04b-2b9c-471f-89d3-ff2355a2ba44 · outbound

This paper cites Masked autoencoders that listen,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Masked autoencoders that listen,

Reference 21

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Observation 5fad3ff9-fb68-4ccc-a8bb-054687c776bd · outbound

This paper cites MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

Reference 22

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Observation 48702476-b1bc-49b9-91fa-14294ead536c · outbound

This paper cites A foundation model for music informatics,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis A foundation model for music informatics,

Reference 23

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Observation 4ad038d1-8247-4ea7-8c5d-41b3e08cfba5 · outbound

This paper cites Muq: Self-supervised music represen- tation learning with mel residual vector quantization,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Muq: Self-supervised music represen- tation learning with mel residual vector quantization,

Reference 24

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Observation 7556fb62-b8d2-4a17-b8ed-ffb49ac94cf1 · outbound

This paper cites M2d-clap: Masked modeling duo meets clap for learning general-purpose audio- language representation.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis M2d-clap: Masked modeling duo meets clap for learning general-purpose audio- language representation

Reference 25

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Observation 104f42f2-a532-4ee0-a3f7-aaaeeefdf42f · outbound

This paper cites MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning

Reference 26

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Observation a849079d-e663-440f-9852-a552d366aca9 · outbound

This paper cites High-fidelity audio compression with im- proved rvqgan,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis High-fidelity audio compression with im- proved rvqgan,

Reference 27

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Observation f5131481-6372-42e8-b465-851750c851c2 · outbound

This paper cites CoDiCodec: Unifying Continuous and Discrete Compressed Representations of Audio.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis CoDiCodec: Unifying Continuous and Discrete Compressed Representations of Audio

Reference 28

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Observation b4093137-c195-4931-bbd6-1a93b79b475c · outbound

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

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation,

Reference 29

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Observation 01459de3-2263-4cc8-a6e9-ec6fb6a65aa2 · outbound

This paper cites Beat this! accurate beat tracking without dbn postprocessing,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Beat this! accurate beat tracking without dbn postprocessing,

Reference 30

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Observation a74e29e6-eb99-426c-b1cf-93ed2fb1c4e7 · outbound

This paper cites Systematic exploration of computational music structure research,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Systematic exploration of computational music structure research,

Reference 31

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Observation 66c0f203-8ae5-4c25-b724-9b82ab12a8e0 · outbound

This paper cites Pytorch: An imperative style, high- performance deep learning library,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Pytorch: An imperative style, high- performance deep learning library,

Reference 32

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Observation ef621e77-6b27-4e58-9deb-d99dec8a74af · outbound

This paper cites mir eval: A transparent implementa- tion of common MIR metrics,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis mir eval: A transparent implementa- tion of common MIR metrics,

Reference 33

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Observation 3a2ecfb5-5dcb-47bf-bf2f-41e3958fbbe7 · outbound

This paper cites mirdata: Software for repro- ducible usage of datasets.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis mirdata: Software for repro- ducible usage of datasets

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Observation 8c3b21ae-8991-4eae-bfdb-ede1e89e013a · outbound

This paper cites RWC Music Database: Popular, Classical and Jazz Music Databases,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis RWC Music Database: Popular, Classical and Jazz Music Databases,

Reference 35

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Observation aa3c1535-9cdf-4875-9ab5-c3b938e7ea3e · outbound

This paper cites Rwc revisited: Towards a community- driven mir corpus,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Rwc revisited: Towards a community- driven mir corpus,

Reference 36

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Observation a3862a66-4905-47c8-95da-e5fad163ea36 · outbound

This paper cites Design and creation of a large-scale database of structural annotations,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Design and creation of a large-scale database of structural annotations,

Reference 37

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Observation 07a7ff44-da31-4a82-9ba2-7a6996be0ea0 · outbound

This paper cites The harmonix set: Beats, downbeats, and functional segment annotations of western popular music,.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis The harmonix set: Beats, downbeats, and functional segment annotations of western popular music,

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Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis cites this paper.

Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis Unsupervised Evaluation of Deep Audio Embeddings for Music Structure Analysis

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