Paper Citation Record · LEDGER

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders

As of 5 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2511.05350.

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

pith.paper-citation-record.v1
2511.05350 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:33:11.565375Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

44 of 44 outbound references displayed

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Outbound references

Observation cd1de54f-3780-49c2-bf4f-677a782af7f7 · outbound

This paper cites Meaning in music and information theory.The Journal of Aesthetics and Art Criticism, 15(4):412–424, 1957.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Meaning in music and information theory.The Journal of Aesthetics and Art Criticism, 15(4):412–424, 1957

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:06.250246Z

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Observation 4510bd53-fe99-49b8-aed2-4d2fb96bdfe9 · outbound

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

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Multiple viewpoint systems for music prediction.Journal of New Music Research, 24(1):51–73, 1995

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:06.333975Z

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Observation 05bc1cf5-ff22-4536-a836-f5600a76fa22 · outbound

This paper cites PhD thesis, Department of Computing, City University, London, UK, 2005.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders PhD thesis, Department of Computing, City University, London, UK, 2005

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:06.387106Z

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Observation 947aaaa6-25b3-466c-98c6-6c3f3fda2d63 · outbound

This paper cites Controlling surprisal in music generation via information content curve matching.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Controlling surprisal in music generation via information content curve matching

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:06.448317Z

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Observation 8d524c0f-ec89-42af-8a42-67b0f9d44957 · outbound

This paper cites Estimating musical surprisal in audio.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Estimating musical surprisal in audio

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:06.503354Z

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Observation e0374b48-53dc-4b53-b333-b64949fdb5c9 · outbound

This paper cites Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation.NeuroImage, 50(1):302–313, 2010.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Unsupervised statistical learning underpins computational, behavioural, and neural manifestations of musical expectation.NeuroImage, 50(1):302–313, 2010

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:06.582246Z

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Observation 976dc0ae-2851-4291-8b43-2bc250b1f388 · outbound

This paper cites Cortical encoding of melodic expectations in human temporal cortex.Elife, 9:e51784, 2020.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Cortical encoding of melodic expectations in human temporal cortex.Elife, 9:e51784, 2020

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:06.643112Z

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Observation bfba25cd-0665-4e64-b200-f492e33b6971 · outbound

This paper cites Predictive uncertainty in auditory sequence processing.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Predictive uncertainty in auditory sequence processing

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:06.668490Z

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Observation 4f69221b-2629-4fe2-8e91-31fc94c578c8 · outbound

This paper cites Pupil responses to pitch deviants reflect predictability of melodic sequences.Brain and Cognition, 138:103621, 2020.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Pupil responses to pitch deviants reflect predictability of melodic sequences.Brain and Cognition, 138:103621, 2020

Reference 9

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Observation 28f36de8-79b8-4eb8-8135-7731e7eb1016 · outbound

This paper cites Statistical learning of melodic patterns influences the brain’s response to wrong notes.Journal of cognitive neuroscience, 29 (12):2114–2122, 2017.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Statistical learning of melodic patterns influences the brain’s response to wrong notes.Journal of cognitive neuroscience, 29 (12):2114–2122, 2017

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:06.857630Z

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Observation 9381a601-1d50-46b6-b854-5e6bca2ed43e · outbound

This paper cites Detecting change in stochastic sound sequences.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Detecting change in stochastic sound sequences

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:06.962287Z

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Observation 87749f55-d5e7-4fee-afd4-803a073c1e77 · outbound

This paper cites A model for statistical regularity extraction from dynamic sounds.Acta Acustica united with Acustica, 105(1):1–4, 2019.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders A model for statistical regularity extraction from dynamic sounds.Acta Acustica united with Acustica, 105(1):1–4, 2019

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:07.110511Z

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Observation 03a03fbd-29b3-4453-918c-b0842ff03dcc · outbound

This paper cites Estimating musical surprisal from audio in autoregressive diffusion model noise spaces.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Estimating musical surprisal from audio in autoregressive diffusion model noise spaces

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:07.196138Z

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Observation 47163857-8412-4861-a609-f675bb86518e · outbound

This paper cites Diffusion is spectral autoregression, 2024.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Diffusion is spectral autoregression, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:07.360974Z

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Observation 492e598c-dad5-48b8-bbb3-8c7f9a5cb20f · outbound

This paper cites A Fourier Space Perspective on Diffusion Models.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders A Fourier Space Perspective on Diffusion Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:07.467555Z

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Observation a065e55e-cf1b-48d9-9910-c1c801c4453a · outbound

This paper cites Latent denoising makes good visual tokenizers.arXiv preprint arXiv:2507.15856, 2025.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Latent denoising makes good visual tokenizers.arXiv preprint arXiv:2507.15856, 2025

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:07.590998Z

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Observation c3b0e606-5c4f-4573-854b-8258354b2dad · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Elucidating the design space of diffusion-based generative models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:07.749343Z

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Observation 4ed766a7-b324-4bf4-9c4c-7e4a1d2e5963 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Scaling rectified flow transformers for high-resolution image synthesis

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:07.910282Z

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Observation f2fe698b-1819-4232-8823-3a31e669e8b5 · outbound

This paper cites Music2latent: Consistency autoencoders for latent audio compression.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Music2latent: Consistency autoencoders for latent audio compression

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:08.014255Z

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Observation eedb06ba-c350-44ea-87cb-8702c6703c80 · outbound

This paper cites Consistency models.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Consistency models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:08.124102Z

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Observation 3d760490-cc41-4f5e-9142-f7080a922354 · outbound

This paper cites Speech enhancement and dereverberation with diffusion-based generative models.IEEE ACM Trans.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Speech enhancement and dereverberation with diffusion-based generative models.IEEE ACM Trans

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:08.270765Z

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Observation 20564765-677e-4078-a178-00f185711bf6 · outbound

This paper cites Parker, CJ Carr, Zack Zukowski, Josiah Taylor, and Jordi Pons.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Parker, CJ Carr, Zack Zukowski, Josiah Taylor, and Jordi Pons

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:08.368232Z

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Observation 1d864324-35a5-4872-a9ae-e3aa470c38e4 · outbound

This paper cites Autoregressive image generation without vector quantization.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Autoregressive image generation without vector quantization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:08.511189Z

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Observation 11edc7b0-6381-4dc9-912d-b479d154337b · outbound

This paper cites Continuous autoregressive models with noise augmentation avoid error accumulation.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Continuous autoregressive models with noise augmentation avoid error accumulation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:08.674261Z

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Observation 7d39d037-df4a-4581-a750-94bf6b4deaed · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:08.904599Z

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Observation 40181827-e536-4c6c-82c3-a8db959dfcbd · outbound

This paper cites an unresolved cited work.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:09.073317Z

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Observation 8bf0656b-3970-4e2c-8420-568440a565b3 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:09.239481Z

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Observation f96414e3-18dd-45a2-8715-4238f0dccc84 · outbound

This paper cites Neural ordinary differential equations.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Neural ordinary differential equations

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:09.485256Z

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Observation ed502abf-241e-4314-8c05-fecf7ebd23e1 · outbound

This paper cites Layer Normalization.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Layer Normalization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:09.657600Z

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Observation 45a06459-c2be-4fcc-8dc3-70b1fe67afa1 · outbound

This paper cites Logistic-normal distributions: Some properties and uses.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Logistic-normal distributions: Some properties and uses

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:09.823249Z

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Observation 033e9867-cd4e-45a5-8495-a92821c4550e · outbound

This paper cites Visqol: an objective speech quality model.EURASIP Journal on Audio, Speech, and Music Processing, 2015(1):13, 2015.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Visqol: an objective speech quality model.EURASIP Journal on Audio, Speech, and Music Processing, 2015(1):13, 2015

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:09.935972Z

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Observation 3fe5d33f-76f9-40e3-b52e-2177b4331d9b · outbound

This paper cites Objective assessment of perceptual audio quality using visqolaudio.IEEE Transactions on Broadcasting, 63(4):693–705, 2017.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Objective assessment of perceptual audio quality using visqolaudio.IEEE Transactions on Broadcasting, 63(4):693–705, 2017

Reference 32

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Observation 3520ac7a-bea9-4211-a597-000b39e69e10 · outbound

This paper cites Visqol v3: An open source production ready objective speech and audio metric.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Visqol v3: An open source production ready objective speech and audio metric

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:10.402184Z

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Observation 5a2cde82-250c-484a-be9e-7e55182144b3 · outbound

This paper cites Sdr–half-baked or well done? InICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 626–630.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Sdr–half-baked or well done? InICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 626–630

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:10.599346Z

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Observation cd58a492-5929-43bb-80ef-5fda749b9ca3 · outbound

This paper cites High Fidelity Neural Audio Compression.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders High Fidelity Neural Audio Compression

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:10.762432Z

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Observation f69cdc1b-5d2c-466c-913e-a034dbd5e48d · outbound

This paper cites MusicLM: Generating Music From Text.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders MusicLM: Generating Music From Text

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:10.927449Z

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Observation 8df9358b-bcd5-4364-86dd-a11398193ccb · outbound

This paper cites Fréchet audio distance: A reference-free metric for evaluating music enhancement algorithms.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Fréchet audio distance: A reference-free metric for evaluating music enhancement algorithms

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:11.079857Z

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Observation 2213bb4a-7dcf-493e-bbf7-0b6ed4041e9d · outbound

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

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Large-scale contrastive language-audio pretraining with feature fusion and keyword- to-caption augmentation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:11.139125Z

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Observation 92941c68-c774-4120-944a-f89c9fe9f2ff · outbound

This paper cites an unresolved cited work.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:11.190177Z

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Observation 6e8acff7-b0e9-4fa4-a818-522a0b054a83 · outbound

This paper cites Investigating the cortical tracking of speech and music with sung speech.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Investigating the cortical tracking of speech and music with sung speech

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:11.270107Z

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Observation 751245a0-4414-42a3-a132-c4b02d144858 · outbound

This paper cites Neural signatures of musical and linguistic interactions during natural song listening.Hal preprint, 2024.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Neural signatures of musical and linguistic interactions during natural song listening.Hal preprint, 2024

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:11.350321Z

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Observation bc863112-f1fc-4552-95b6-62b2ab40ab86 · outbound

This paper cites Modelling the power spectra of natural images: statistics and information.Vision research, 36(17):2759–2770, 1996.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Modelling the power spectra of natural images: statistics and information.Vision research, 36(17):2759–2770, 1996

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:11.433889Z

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Observation 8f5f0f8c-6222-443d-b2f7-9f3f8c76e83c · outbound

This paper cites Nhss: A speech and singing parallel database.Speech Communication, 133:9–22, 2021.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders Nhss: A speech and singing parallel database.Speech Communication, 133:9–22, 2021

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:11.490266Z

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Observation 21d9fc01-5226-4e3a-80d8-9d64a12de930 · outbound

This paper cites The multivariate temporal response function (mtrf) toolbox: a matlab toolbox for relating neural signals to continuous stimuli.Frontiers in human neuroscience, 10:604, 2016.

Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders The multivariate temporal response function (mtrf) toolbox: a matlab toolbox for relating neural signals to continuous stimuli.Frontiers in human neuroscience, 10:604, 2016

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-03T23:33:11.565375Z

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