Paper Citation Record · LEDGER

Watermarking Training Data of Music Generation Models

As of 13 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2412.08549.

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

pith.paper-citation-record.v1
2412.08549 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:49:42.644020Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

34 of 34 outbound references displayed

verified exact1
verified fuzzy11
unresolved20
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b4fc50c-148d-452d-bd59-0e2c70a3e2bc · outbound

This paper cites MusicLM: Generating Music From Text.

Watermarking Training Data of Music Generation Models MusicLM: Generating Music From Text

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.493048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e77c646d-161e-4080-94c0-570f7c70ccd4 · outbound

This paper cites Exploring Musical Roots: Applying Audio Embeddings to Empower Influence Attribution for a Generative Music Model.

Watermarking Training Data of Music Generation Models Exploring Musical Roots: Applying Audio Embeddings to Empower Influence Attribution for a Generative Music Model

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.498822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f55a1c4c-707f-48c2-a764-804c6f1d796e · outbound

This paper cites The Foundation Model Transparency Index.

Watermarking Training Data of Music Generation Models The Foundation Model Transparency Index

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.503886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72974984-af44-4359-b1f4-081815b6dda0 · outbound

This paper cites Membership inference attacks from first principles.

Watermarking Training Data of Music Generation Models Membership inference attacks from first principles

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.508901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1aa6627-8508-4aa4-ba03-fab83f4d81c3 · outbound

This paper cites The secret sharer: Evaluating and testing unintended memorization in neural networks.

Watermarking Training Data of Music Generation Models The secret sharer: Evaluating and testing unintended memorization in neural networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:49:43.239823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d384d416-f36a-47f7-bafc-559860d3de46 · outbound

This paper cites Extracting training data from diffusion models.

Watermarking Training Data of Music Generation Models Extracting training data from diffusion models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.518790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74cc6489-2926-4a80-88a0-a7c43c7c6dfe · outbound

This paper cites WavMark: Watermarking for Audio Generation.

Watermarking Training Data of Music Generation Models WavMark: Watermarking for Audio Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.523782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 842e10d4-237e-4195-897f-144f26e8fafb · outbound

This paper cites Simple and controllable music generation.Advances in Neural Information Processing Systems, 36, 2024.

Watermarking Training Data of Music Generation Models Simple and controllable music generation.Advances in Neural Information Processing Systems, 36, 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:49:43.215446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cda9306e-a24b-479b-8603-ca2444a1d2ad · outbound

This paper cites drake” and “the weeknd.

Watermarking Training Data of Music Generation Models drake” and “the weeknd

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:49:43.201210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 71efc51c-b708-43d3-8d2b-1343d35cf49e · outbound

This paper cites The Accuracy of Restricted Boltzmann Machine Models of Ising Systems.

Watermarking Training Data of Music Generation Models The Accuracy of Restricted Boltzmann Machine Models of Ising Systems

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-11T17:49:42.939012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 53bf9283-ae66-43c5-8a06-9fb49b60fac5 · outbound

This paper cites Blind Baselines Beat Membership Inference Attacks for Foundation Models.

Watermarking Training Data of Music Generation Models Blind Baselines Beat Membership Inference Attacks for Foundation Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.541917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e4452b-ea1c-45cc-beae-ca09d3d58b21 · outbound

This paper cites Oliveira, and Lei Li.

Watermarking Training Data of Music Generation Models Oliveira, and Lei Li

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:49:43.186658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 99fb7e17-010c-43dd-ad92-c7e33690bdcf · outbound

This paper cites High Fidelity Neural Audio Compression.

Watermarking Training Data of Music Generation Models High Fidelity Neural Audio Compression

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.550671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79c9ba49-fd6c-4aa0-9051-3c09f957c784 · outbound

This paper cites VampNet: Music Generation via Masked Acoustic Token Modeling.

Watermarking Training Data of Music Generation Models VampNet: Music Generation via Masked Acoustic Token Modeling

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.555192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2c079d5-4f31-486e-a9cf-d31c5f05f356 · outbound

This paper cites Beyonce and adele publisher accuses firms of training ai on songs, 5 2024.

Watermarking Training Data of Music Generation Models Beyonce and adele publisher accuses firms of training ai on songs, 5 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:49:43.171226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c60cd0b0-d033-4a6b-b28e-cf6e3479a24b · outbound

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

Watermarking Training Data of Music Generation Models Cnn architectures for large-scale audio classification

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.564085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 307249fa-1126-49ff-b5d9-98f6b22d93e6 · outbound

This paper cites Deduplicating training data mitigates privacy risks in language models.

Watermarking Training Data of Music Generation Models Deduplicating training data mitigates privacy risks in language models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.568425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4715ead8-532b-4910-83b6-6a049752cac8 · outbound

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

Watermarking Training Data of Music Generation Models Fr\'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.572599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c8c330e-7ff4-43fc-ad6f-7aa86c472e58 · outbound

This paper cites Spread-spectrum watermarking of audio.

Watermarking Training Data of Music Generation Models Spread-spectrum watermarking of audio

Reference 19

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T17:49:42.848840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eef78128-14a6-4b2f-9f57-b24eae8f1c56 · outbound

This paper cites Us record labels sue ai music generators suno and udio for copyright infringement, 6 2024.

Watermarking Training Data of Music Generation Models Us record labels sue ai music generators suno and udio for copyright infringement, 6 2024

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:49:43.135861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb938b15-2c87-467d-814e-7b3490621349 · outbound

This paper cites High-Fidelity Audio Compression with Improved RVQGAN.

Watermarking Training Data of Music Generation Models High-Fidelity Audio Compression with Improved RVQGAN

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.586137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af0fffd-21f7-489e-95d5-0a9d131b6fac · outbound

This paper cites Copyright traps for large language models.

Watermarking Training Data of Music Generation Models Copyright traps for large language models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:49:43.119201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation df123b63-996c-4378-a84c-7fb2e9685ec7 · outbound

This paper cites SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It).

Watermarking Training Data of Music Generation Models SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.595502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccfeb941-96af-4616-8150-de5f2670dd91 · outbound

This paper cites An empirical analysis of memorization in fine-tuned autoregressive language models.

Watermarking Training Data of Music Generation Models An empirical analysis of memorization in fine-tuned autoregressive language models

Reference 24

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T17:49:43.103573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8fe65e3c-d85a-4ba1-924e-ae7707f3d4bb · outbound

This paper cites Scalable Extraction of Training Data from (Production) Language Models.

Watermarking Training Data of Music Generation Models Scalable Extraction of Training Data from (Production) Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.604514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f123f29a-ae1c-4520-9dbe-625ab934b436 · outbound

This paper cites Neuroscience.

Watermarking Training Data of Music Generation Models Neuroscience

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:49:43.087022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b68656ff-c954-4223-885a-0974d9112536 · outbound

This paper cites Radioactive data: tracing through training.

Watermarking Training Data of Music Generation Models Radioactive data: tracing through training

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:49:43.070458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a613d2c7-bd8d-4df8-b9ce-9f991142d1f6 · outbound

This paper cites Proactive detection of voice cloning with localized watermarking.

Watermarking Training Data of Music Generation Models Proactive detection of voice cloning with localized watermarking

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:49:43.054870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 69c31db6-ee10-4f7f-85fd-38deee4f91d8 · outbound

This paper cites Membership inference attacks against machine learning models.

Watermarking Training Data of Music Generation Models Membership inference attacks against machine learning models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.622035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98925e5f-ef38-4f5a-b144-caa5fa8e11b8 · outbound

This paper cites Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models.

Watermarking Training Data of Music Generation Models Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.626494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 008dd644-b76e-4192-a6ea-30db9354e809 · outbound

This paper cites Understanding and Mitigating Copying in Diffusion Models.

Watermarking Training Data of Music Generation Models Understanding and Mitigating Copying in Diffusion Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.631137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f89619cb-0bd7-4fa8-a6fa-fc233740f2d9 · outbound

This paper cites Machine learning models that remember too much.

Watermarking Training Data of Music Generation Models Machine learning models that remember too much

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.636010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f277eb8-4e0d-4b5d-8a75-36c50b8b621a · outbound

This paper cites DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models.

Watermarking Training Data of Music Generation Models DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T17:49:42.639842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3985e18b-1eb5-4a38-be99-f777f4bc8ed1 · outbound

This paper cites Enhanced membership inference attacks against machine learning models.

Watermarking Training Data of Music Generation Models Enhanced membership inference attacks against machine learning models

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T17:49:43.017701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.