Paper Citation Record · LEDGER

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning

As of 9 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 6 inbound Pith citation observations for arXiv:2508.12709.

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

pith.paper-citation-record.v1
2508.12709 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:22:49.188235Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:17:10.613604Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

54 of 54 outbound references displayed

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External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation a1b92a94-f7d9-4200-af6c-7ea462fb2c4c · outbound

This paper cites Springer Berlin Heidelberg, 1993.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Springer Berlin Heidelberg, 1993

Reference 1

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Observation a6bcd634-96da-4dc8-a132-b3040e4001b5 · outbound

This paper cites Ahmed, Omer San, and Sivaramakrishnan Lakshmivarahan.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Ahmed, Omer San, and Sivaramakrishnan Lakshmivarahan

Reference 2

Resolution: verified exact; doi, observed 2026-08-05T19:22:52.693967Z

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Observation 61dfe38c-c9b2-41b6-acc5-fb6491a4c3a9 · outbound

This paper cites Aranson and Lorenz Kramer.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Aranson and Lorenz Kramer

Reference 3

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Observation 85e03b5b-d973-431b-abe0-e38064d60ad6 · outbound

This paper cites an unresolved cited work.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Unresolved cited work

Reference 4

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Observation df5e09f4-863f-42e2-b97c-99ced48ea782 · outbound

This paper cites Allen-cahn equation for modeling temporal evolution of non-conserved field variables in cancer cell 21 Preprint– contact: oliver.mai@uni-muenster.de – September 18, 2025 migration.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Allen-cahn equation for modeling temporal evolution of non-conserved field variables in cancer cell 21 Preprint– contact: oliver.mai@uni-muenster.de – September 18, 2025 migration

Reference 5

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Observation 7dd2dcd8-3f7d-4334-bc53-3bc48c35c9ca · outbound

This paper cites Bergstra et al.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Bergstra et al

Reference 6

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Observation da5e948c-6d7f-462c-ae93-cd9e3e249e54 · outbound

This paper cites Hyperopt: a python library for model selection and hyperparameter optimization.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Hyperopt: a python library for model selection and hyperparameter optimization

Reference 7

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Observation 047c75cd-b2f7-49bb-9617-eb034c6e2907 · outbound

This paper cites Bock and K.J.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Bock and K.J

Reference 8

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Observation cfcc51e5-7279-403c-8d23-a98d010183ba · outbound

This paper cites Brunton, Joshua L.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Brunton, Joshua L

Reference 9

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Observation ccaad131-e86a-437e-8ac5-c1849838269b · outbound

This paper cites Fitting partial differential equations to space-time dynamics.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Fitting partial differential equations to space-time dynamics

Reference 10

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Observation 334606c8-1142-42ff-b880-19ea3b6c2f10 · outbound

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MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Unresolved cited work

Reference 11

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Observation d2e4cc5f-03b8-411c-8bc2-941afb273755 · outbound

This paper cites Six decades of the fitzhugh–nagumo model: A guide through its spatio-temporal dynamics and influence across disciplines.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Six decades of the fitzhugh–nagumo model: A guide through its spatio-temporal dynamics and influence across disciplines

Reference 12

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Observation fdb448cc-6df6-4526-b691-d0342977d93b · outbound

This paper cites Kutz, and Steven Brunton.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Kutz, and Steven Brunton

Reference 13

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This paper cites An improved sparse identification of nonlinear dynamics with akaike information criterion and group sparsity.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning An improved sparse identification of nonlinear dynamics with akaike information criterion and group sparsity

Reference 14

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Observation d163b0eb-1b08-4085-b877-dc5bcc8d95df · outbound

This paper cites Identification of the fitzhugh–nagumo model dynamics via deter- ministic learning.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Identification of the fitzhugh–nagumo model dynamics via deter- ministic learning

Reference 15

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Observation 5fe28ccf-ad0a-4b1d-a750-693742d0bd8b · outbound

This paper cites Asymptotic behaviour of travelling waves for the delayed fisher–kpp equation.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Asymptotic behaviour of travelling waves for the delayed fisher–kpp equation

Reference 16

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Observation a4b9a328-3688-4ba0-b089-5210c1d9f402 · outbound

This paper cites Automatically discovering ordinary differential equa- tions from data with sparse regression.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Automatically discovering ordinary differential equa- tions from data with sparse regression

Reference 17

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Observation 71cc4e16-2db8-46c4-a432-b0c80df31a97 · outbound

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MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Unresolved cited work

Reference 18

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Observation 6cf0132d-64a1-4059-9acd-9da3ca1e2c8c · outbound

This paper cites Impulses and physiological states in theoretical models of nerve membrane.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Impulses and physiological states in theoretical models of nerve membrane

Reference 19

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This paper cites Parameter identification in noisy extended systems: A hydrodynamic case.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Parameter identification in noisy extended systems: A hydrodynamic case

Reference 20

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Observation e5ab0226-65d1-4ecf-b651-319be586805b · outbound

This paper cites Guay and D.D.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Guay and D.D

Reference 21

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Observation dabe6eda-1a11-4d37-9a6b-acca4c2e760d · outbound

This paper cites Harris, K.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Harris, K

Reference 22

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MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Unresolved cited work

Reference 23

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Observation 6f5d17bc-3ed4-497f-b705-8e2f6d5a0914 · outbound

This paper cites A Tutorial on Numerical Methods for State and Parameter Estimation in Nonlinear Dynamic Systems, pages 67–88.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning A Tutorial on Numerical Methods for State and Parameter Estimation in Nonlinear Dynamic Systems, pages 67–88

Reference 24

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Observation 9fbb3dea-1e00-47a9-87dc-14243042674b · outbound

This paper cites An approximate analytical solution of the allen-cahn equation using homotopy perturbation method and homotopy analysis method.Heliyon, 5(12):e03060, 2019.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning An approximate analytical solution of the allen-cahn equation using homotopy perturbation method and homotopy analysis method.Heliyon, 5(12):e03060, 2019

Reference 25

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Observation 5969ec0f-bce8-4167-b274-76d40aa99eab · outbound

This paper cites Basic principles and practical applications of the cahn–hilliard equation.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Basic principles and practical applications of the cahn–hilliard equation

Reference 26

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Observation 01b2d4a6-95a9-4ace-a5df-45dfbda5800a · outbound

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MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Unresolved cited work

Reference 27

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Observation c1c726b9-cabc-42e9-8d47-2a801daa3519 · outbound

This paper cites Kolmogorov, I.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Kolmogorov, I

Reference 28

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Observation f526f6ef-dd21-4e36-8597-fdff66816dfc · outbound

This paper cites Sparse identification of evolution equations via Bayesian model selection.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Sparse identification of evolution equations via Bayesian model selection

Reference 29

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MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Unresolved cited work

Reference 30

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This paper cites Pde-net 2.0: Learning pdes from data with a numeric- symbolic hybrid deep network.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Pde-net 2.0: Learning pdes from data with a numeric- symbolic hybrid deep network

Reference 31

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This paper cites Machlanski, S.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Machlanski, S

Reference 32

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This paper cites Cheeseman, Ivo F.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Cheeseman, Ivo F

Reference 33

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Observation 5ab13416-6907-4708-87d9-acc08ed24b02 · outbound

This paper cites TSME PyPi repository, 2024.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning TSME PyPi repository, 2024

Reference 34

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Observation 9d30f537-2c4c-4e83-9496-13ca0730911e · outbound

This paper cites TSME examples GitHub repository, 2025.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning TSME examples GitHub repository, 2025

Reference 35

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MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Unresolved cited work

Reference 36

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This paper cites Messenger and David M.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Messenger and David M

Reference 37

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MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Nagumo, S

Reference 38

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This paper cites Naozuka, Heber L.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Naozuka, Heber L

Reference 39

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This paper cites Probabilistic gram- mars for modeling dynamical systems from coarse, noisy, and partial data.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Probabilistic gram- mars for modeling dynamical systems from coarse, noisy, and partial data

Reference 40

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This paper cites Brunton, and J.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Brunton, and J

Reference 41

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This paper cites Rudy, Steven L.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Rudy, Steven L

Reference 42

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This paper cites Gottwald, Gilles Vilmart, and Karl Perron.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Gottwald, Gilles Vilmart, and Karl Perron

Reference 43

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This paper cites Shraiman, A.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Shraiman, A

Reference 44

Resolution: verified exact; doi, observed 2026-08-05T19:22:49.812426Z

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This paper cites Gurevich, and Uwe Thiele.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Gurevich, and Uwe Thiele

Reference 45

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Observation 4e77da8b-0b58-4c19-b8e6-db07dea86675 · outbound

This paper cites Stephany.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Stephany

Reference 46

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Observation 8994fade-df16-49d8-a5b5-d0e7d84944ff · outbound

This paper cites Weakident: Weak formulation for identifying differential equation using narrow-fit and trimming.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Weakident: Weak formulation for identifying differential equation using narrow-fit and trimming

Reference 47

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Observation d6b9c288-327e-4f5e-bbf3-7f445f2fcc21 · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Courna- peau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St ´efan J.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Oliphant, Matt Haberland, Tyler Reddy, David Courna- peau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, St ´efan J

Reference 48

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This paper cites V oss, M.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning V oss, M

Reference 49

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Observation c8ac41a0-dd59-4a29-aef6-dbcf71257760 · outbound

This paper cites V oss, Paul Kolodner, Markus Abel, and J ¨urgen Kurths.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning V oss, Paul Kolodner, Markus Abel, and J ¨urgen Kurths

Reference 50

Resolution: verified exact; doi, observed 2026-08-05T19:22:49.489370Z

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This paper cites VOSS, JENS TIMMER, and J ¨URGEN KURTHS.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning VOSS, JENS TIMMER, and J ¨URGEN KURTHS

Reference 51

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Observation c8fea9c6-56ae-4dbb-8c24-b1a0c641bae9 · outbound

This paper cites Experiment data-driven mod- eling of tokamak discharge in east.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Experiment data-driven mod- eling of tokamak discharge in east

Reference 52

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MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Unresolved cited work

Reference 53

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This paper cites Wave fronts for a class of delayed fisher–kpp equa- tions.

MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning Wave fronts for a class of delayed fisher–kpp equa- tions

Reference 54

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Pith citing papers

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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 MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning

Reference 26

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TinyMU: A Compact Audio-Language Model for Music Understanding cites this paper.

TinyMU: A Compact Audio-Language Model for Music Understanding MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning

Reference 20

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Observation 1dd9d386-dc4a-4340-b48a-0fd71a2cf548 · inbound

S-SONDO: Self-Supervised Knowledge Distillation for General Audio Foundation Models cites this paper.

S-SONDO: Self-Supervised Knowledge Distillation for General Audio Foundation Models MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning

Reference 8

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Frequency-Aware Self-Supervised Music Representation Learning cites this paper.

Frequency-Aware Self-Supervised Music Representation Learning MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning

Reference 30

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Frequency-Aware Self-Supervised Music Representation Learning cites this paper.

Frequency-Aware Self-Supervised Music Representation Learning MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning

Reference 30

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Observation 569447fa-fd62-4faa-b0c7-2ec1c4a98ffd · inbound

A Self-Supervised Approach for Minimal-Annotation Hydroacoustic Data Exploration cites this paper.

A Self-Supervised Approach for Minimal-Annotation Hydroacoustic Data Exploration MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning

Reference 15

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