Paper Citation Record · LEDGER

Music-JEPA: Learning a World Model of Sound from Action

As of 22 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2607.22000.

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

pith.paper-citation-record.v1
2607.22000 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:12:47.611011Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:12:40.962023Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

verified exact4
verified fuzzy0
unresolved46
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af5362bb-95d7-4d1d-b047-3ad8e452d148 · outbound

This paper cites Music-JEPA: Learning a World Model of Sound from Action.

Music-JEPA: Learning a World Model of Sound from Action Music-JEPA: Learning a World Model of Sound from Action

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:40.962023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 593cc8b4-7f03-43c8-9805-c02377f9c65b · outbound

This paper cites an unresolved cited work.

Music-JEPA: Learning a World Model of Sound from Action Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:41.072877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9310074f-1716-43ea-aff3-6dd70e1fd63a · outbound

This paper cites an unresolved cited work.

Music-JEPA: Learning a World Model of Sound from Action Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:41.205908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8467e091-8626-4951-83e0-390fdb8bb302 · outbound

This paper cites We first describe the dataset, training procedure (Section 4.1), and baselines (Section 4.2).

Music-JEPA: Learning a World Model of Sound from Action We first describe the dataset, training procedure (Section 4.1), and baselines (Section 4.2)

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:41.324801Z

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Observation f5d89169-d190-4730-a375-c8576c0df9aa · outbound

This paper cites We demonstrate three key capabilities.

Music-JEPA: Learning a World Model of Sound from Action We demonstrate three key capabilities

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:41.453362Z

Source-reported events for the cited work

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Observation 462bfbe0-92a8-4f21-8846-349753783729 · outbound

This paper cites an unresolved cited work.

Music-JEPA: Learning a World Model of Sound from Action Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:41.590602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23b4aaf0-2ba9-41e0-b687-3f51ddca48c3 · outbound

This paper cites Hohwy,The predictive mind.

Music-JEPA: Learning a World Model of Sound from Action Hohwy,The predictive mind

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:41.687186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6f91316-3b83-4dae-886a-c0e6c5b8b914 · outbound

This paper cites A path towards autonomous machine in- telligence version 0.9.2, 2022-06-27,.

Music-JEPA: Learning a World Model of Sound from Action A path towards autonomous machine in- telligence version 0.9.2, 2022-06-27,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:41.809200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32630d7b-c87a-456f-94e3-a1723d7dd23b · outbound

This paper cites Self-supervised learning from im- ages with a joint-embedding predictive architec- ture,.

Music-JEPA: Learning a World Model of Sound from Action Self-supervised learning from im- ages with a joint-embedding predictive architec- ture,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:41.930874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2cc5bb5-4c14-4045-971a-6203a223747f · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Music-JEPA: Learning a World Model of Sound from Action V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:42.094860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c49ba69-6036-40ff-885a-caa58fac3cbb · outbound

This paper cites A-JEPA: Joint-Embedding Predictive Architecture Can Listen.

Music-JEPA: Learning a World Model of Sound from Action A-JEPA: Joint-Embedding Predictive Architecture Can Listen

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:42.238243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 163f1b05-700e-4916-8794-06d0bdd0842c · outbound

This paper cites Audio-JEPA: Joint-Embedding Predictive Architecture for Audio Representation Learning.

Music-JEPA: Learning a World Model of Sound from Action Audio-JEPA: Joint-Embedding Predictive Architecture for Audio Representation Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:42.365990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbeb8660-15de-45da-aa3e-bcea2e426376 · outbound

This paper cites Investigating design choices in joint-embedding predictive architectures for general audio repre- sentation learning,.

Music-JEPA: Learning a World Model of Sound from Action Investigating design choices in joint-embedding predictive architectures for general audio repre- sentation learning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:42.454661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0abb9ab-8540-4ab7-83f3-d55642f4f899 · outbound

This paper cites Stem-jepa: A joint-embedding predictive architecture for musical stem compatibility estimation,.

Music-JEPA: Learning a World Model of Sound from Action Stem-jepa: A joint-embedding predictive architecture for musical stem compatibility estimation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:42.597033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff2fffe6-2cd4-4508-a5fb-a3a954a1c02a · outbound

This paper cites Emergent musical properties of a transformer under contrastive self- supervised learning,.

Music-JEPA: Learning a World Model of Sound from Action Emergent musical properties of a transformer under contrastive self- supervised learning,

Reference 15

Resolution: verified exact; doi, observed 2026-08-01T06:14:13.236348Z

Source-reported events for the cited work

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Observation dfe89b82-c828-4a57-9547-4cf97014b229 · outbound

This paper cites Contrastive learning of musical representations,.

Music-JEPA: Learning a World Model of Sound from Action Contrastive learning of musical representations,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:42.864492Z

Source-reported events for the cited work

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Observation c62c7420-ea10-4613-91c8-b1ac2e417055 · outbound

This paper cites Masked autoencoders that listen,.

Music-JEPA: Learning a World Model of Sound from Action Masked autoencoders that listen,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:42.989580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 156b46a4-3d01-4dba-b295-8bd853c367dc · outbound

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

Music-JEPA: Learning a World Model of Sound from Action MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:43.155786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94a03cc4-6a09-411f-ab1a-3ab2fcaa2c62 · outbound

This paper cites Exponential moving av- erage normalization for self-supervised and semi- supervised learning,.

Music-JEPA: Learning a World Model of Sound from Action Exponential moving av- erage normalization for self-supervised and semi- supervised learning,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:43.299760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 246a3af9-8cc6-44cd-ade5-42df6ef4906a · outbound

This paper cites Iterative amortized policy optimization,.

Music-JEPA: Learning a World Model of Sound from Action Iterative amortized policy optimization,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:43.425331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2cf254a-9ada-4b50-b6b7-880df049d17f · outbound

This paper cites High-resolution sustain pedal depth estimation from piano audio across room acoustics,.

Music-JEPA: Learning a World Model of Sound from Action High-resolution sustain pedal depth estimation from piano audio across room acoustics,

Reference 21

Resolution: verified exact; doi, observed 2026-08-01T06:14:12.970082Z

Source-reported events for the cited work

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Observation f6f71b0d-2307-4902-b745-7082e314e94b · outbound

This paper cites Critique of World Model.

Music-JEPA: Learning a World Model of Sound from Action Critique of World Model

Reference 22

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Source-reported events for the cited work

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Observation 8a428ec8-1cc0-4fc3-8f65-79261938f527 · outbound

This paper cites Variance-Covariance Regularization Improves Representation Learning.

Music-JEPA: Learning a World Model of Sound from Action Variance-Covariance Regularization Improves Representation Learning

Reference 23

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Observation 13c6c331-710a-4d62-a806-d0e079823859 · outbound

This paper cites PAN: A world model for general, interactable, and long-horizon world simulation,.

Music-JEPA: Learning a World Model of Sound from Action PAN: A world model for general, interactable, and long-horizon world simulation,

Reference 24

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Observation d89bca9d-453e-47a2-9976-f60f22d1e218 · outbound

This paper cites Pointworld: Scaling 3d world models for in-the-wild robotic manipulation,.

Music-JEPA: Learning a World Model of Sound from Action Pointworld: Scaling 3d world models for in-the-wild robotic manipulation,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:44.082214Z

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Observation dc765bb4-dc8b-4fba-b9c3-8637aa5e78b8 · outbound

This paper cites A theory of cortical responses,.

Music-JEPA: Learning a World Model of Sound from Action A theory of cortical responses,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:44.212978Z

Source-reported events for the cited work

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Observation 6a24290f-0b31-4273-850d-d2c635c0b7bc · outbound

This paper cites an unresolved cited work.

Music-JEPA: Learning a World Model of Sound from Action Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:44.328214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b4f6962-1111-4dbe-85bd-83b6011ff5c9 · outbound

This paper cites London,Hearing in Time: Psychological Aspects of Musical Meter.

Music-JEPA: Learning a World Model of Sound from Action London,Hearing in Time: Psychological Aspects of Musical Meter

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:44.391764Z

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Observation 4bc32673-fe35-43c8-b288-f6313b164ceb · outbound

This paper cites Unsupervised disentanglement of content and style via variance- invariance constraints,.

Music-JEPA: Learning a World Model of Sound from Action Unsupervised disentanglement of content and style via variance- invariance constraints,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:45.267246Z

Source-reported events for the cited work

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Observation 6514da8e-e5ab-445e-9b71-f24898f1bb08 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Music-JEPA: Learning a World Model of Sound from Action An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 30

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Observation d05699c8-aae3-4f8d-a96c-d4ac62eab95b · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Music-JEPA: Learning a World Model of Sound from Action Emerging properties in self-supervised vision transformers,

Reference 31

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Observation d966f9b0-0e15-4ce9-bcc6-cdcef251e637 · outbound

This paper cites LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics.

Music-JEPA: Learning a World Model of Sound from Action LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 32

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Observation 9038b9cb-4fe1-40c7-8495-8f074d0d2290 · outbound

This paper cites Balancing information preservation and disentangle- ment in self-supervised music representation learn- ing,.

Music-JEPA: Learning a World Model of Sound from Action Balancing information preservation and disentangle- ment in self-supervised music representation learn- ing,

Reference 33

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Observation 68352f67-509d-4375-9439-a0ade8d4962e · outbound

This paper cites Audio barlow twins: Self-supervised audio represen- tation learning,.

Music-JEPA: Learning a World Model of Sound from Action Audio barlow twins: Self-supervised audio represen- tation learning,

Reference 34

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Observation 0750932b-266f-4471-9fc8-6cd496787145 · outbound

This paper cites PESTO: pitch estimation with self-supervised transposition-equivariant objective,.

Music-JEPA: Learning a World Model of Sound from Action PESTO: pitch estimation with self-supervised transposition-equivariant objective,

Reference 35

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Observation 6be93974-6482-47b7-829c-3fced9f5bbe1 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Music-JEPA: Learning a World Model of Sound from Action Adam: A Method for Stochastic Optimization

Reference 36

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Observation 5c7452a7-6724-491c-bea4-87ad6124a6fd · outbound

This paper cites Bootstrap your own latent - a new approach to self-supervised learning,.

Music-JEPA: Learning a World Model of Sound from Action Bootstrap your own latent - a new approach to self-supervised learning,

Reference 37

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Observation 441b6b8d-9ae3-4d50-a9e1-3af44a8d294c · outbound

This paper cites ASAP: a dataset of aligned scores and performances for piano transcription,.

Music-JEPA: Learning a World Model of Sound from Action ASAP: a dataset of aligned scores and performances for piano transcription,

Reference 38

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Observation 5271a9ff-aece-468e-b047-8c0cb3beeb9c · outbound

This paper cites Closing the train-test gap in world models for gradient-based planning,.

Music-JEPA: Learning a World Model of Sound from Action Closing the train-test gap in world models for gradient-based planning,

Reference 39

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Observation 7c58a97f-5e86-4c97-b493-11653bb3657a · outbound

This paper cites Tem- poral straightening for latent planning,.

Music-JEPA: Learning a World Model of Sound from Action Tem- poral straightening for latent planning,

Reference 40

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Observation 2fbcf5b4-4e5f-43c5-a457-408cb5b44bc8 · outbound

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Music-JEPA: Learning a World Model of Sound from Action Tutorial on amortized optimization for learning to optimize over continuous domains,

Reference 41

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Observation a9321afb-314f-4ed5-bea3-b7eb62499eda · outbound

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Music-JEPA: Learning a World Model of Sound from Action Latent Geometry Beyond Search: Amortizing Planning in World Models

Reference 42

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Observation b1c09ccd-d0d4-401b-9d21-d04dafb52111 · outbound

This paper cites Enabling factorized piano music modeling and generation with the MAE- STRO dataset,.

Music-JEPA: Learning a World Model of Sound from Action Enabling factorized piano music modeling and generation with the MAE- STRO dataset,

Reference 43

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Observation ede7d27e-11cb-4756-958c-b7b6e30ccba9 · outbound

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

Music-JEPA: Learning a World Model of Sound from Action Beat this! accurate beat tracking without DBN postprocessing,

Reference 48

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Observation b3cc2071-3d37-4f1b-8568-716014f3b21d · outbound

This paper cites madmom: a new Python Audio and Mu- sic Signal Processing Library,.

Music-JEPA: Learning a World Model of Sound from Action madmom: a new Python Audio and Mu- sic Signal Processing Library,

Reference 49

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Observation eff797c3-b216-4486-bd87-9cf6ac6e3613 · outbound

This paper cites High-resolution piano transcription with pedals by regressing onset and offset times,.

Music-JEPA: Learning a World Model of Sound from Action High-resolution piano transcription with pedals by regressing onset and offset times,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T06:12:47.335715Z

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Observation ed5d03ec-d920-41ad-aec3-e60e99a8f1d3 · outbound

This paper cites Available: https://doi.org/10.1109/ TASLP.2021.3121991.

Music-JEPA: Learning a World Model of Sound from Action Available: https://doi.org/10.1109/ TASLP.2021.3121991

Reference 51

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This paper cites Scoring time intervals using non-hierarchical transformer for automatic piano transcription,.

Music-JEPA: Learning a World Model of Sound from Action Scoring time intervals using non-hierarchical transformer for automatic piano transcription,

Reference 52

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Observation aa78319c-ff7a-49b9-bd36-49d39fa6d2bc · outbound

This paper cites Available: http://archives.ismir.net/ ismir2020/paper/000127.pdf.

Music-JEPA: Learning a World Model of Sound from Action Available: http://archives.ismir.net/ ismir2020/paper/000127.pdf

Reference 541

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Observation 28ab99fc-51d1-4b8f-916b-d5a64efef46c · outbound

This paper cites [Online].

Music-JEPA: Learning a World Model of Sound from Action [Online]

Reference 2021

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Observation ea6ddf7b-cf18-4572-b4dc-7a4905e03cbb · outbound

This paper cites Variance-Covariance Regularization Improves Representation Learning.

Music-JEPA: Learning a World Model of Sound from Action Variance-Covariance Regularization Improves Representation Learning

Reference 2023

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Observation 8c384633-909e-4c97-af7b-3a1a2a9b14f7 · outbound

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Music-JEPA: Learning a World Model of Sound from Action Critique of World Model

Reference 2025

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Pith citing papers

Observation af5362bb-95d7-4d1d-b047-3ad8e452d148 · inbound