Paper Citation Record · LEDGER

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models

As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 4 inbound Pith citation observations for arXiv:2505.16306.

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

pith.paper-citation-record.v1
2505.16306 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:56.973279Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:55.280579Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:50:12.622669Z

Reference resolution

40 of 40 outbound references displayed

verified exact1
verified fuzzy32
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9efc2332-6bf7-45d7-aff9-f81f0e0fd96e · outbound

This paper cites One of the most significant advantages of SSL mod- els is their ability to leverage unlabeled audio data, enabling the possibility of training with large-scale datasets.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models One of the most significant advantages of SSL mod- els is their ability to leverage unlabeled audio data, enabling the possibility of training with large-scale datasets

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:01.921801Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5432a338-3e0a-41d7-958d-62c4f8c5292e · outbound

This paper cites an unresolved cited work.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:06:01.723689Z

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Observation 4e428a11-788d-4cad-b699-519f384a2c3d · outbound

This paper cites Work performed during an internship at Tencent AI Lab.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Work performed during an internship at Tencent AI Lab

Reference 3

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Observation 2257135f-cad6-4523-8a82-668e65d577b7 · outbound

This paper cites However, re- search in this area has been hindered by the limitations in data access [6].

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models However, re- search in this area has been hindered by the limitations in data access [6]

Reference 4

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Observation 46bac54d-5dd4-4305-8af0-d80f5213af3d · outbound

This paper cites Layer-wise analysis provides us with a detailed perspective on the relationship between the performance of each specific layer and each specific task.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Layer-wise analysis provides us with a detailed perspective on the relationship between the performance of each specific layer and each specific task

Reference 5

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Observation 39a9a0a6-60e4-4052-bea7-1b5c7ae6983e · outbound

This paper cites Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models

Reference 6

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Observation 6c7e2d90-dd72-4f85-8010-59217d9f5447 · outbound

This paper cites SSL outperforms low-level features.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models SSL outperforms low-level features

Reference 7

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Source-reported events for the cited work

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Observation 2a2c04ad-e596-4459-afc8-422aafedc336 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models wav2vec 2.0: A framework for self-supervised learning of speech representations

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:00.112543Z

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Observation 85d6cc51-2b55-4f3b-885c-427bfc96bd02 · outbound

This paper cites Mert: Acoustic music un- derstanding model with large-scale self-supervised training, 2023.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Mert: Acoustic music un- derstanding model with large-scale self-supervised training, 2023

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:00.892246Z

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Observation d8f84f0a-0a37-42db-a3e9-68fc1698e0a4 · outbound

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Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Unresolved cited work

Reference 10

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Observation f1945d7b-1e6b-47e4-bd1b-aac6b4dfd18a · outbound

This paper cites A Foundation Model for Music Informatics.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models A Foundation Model for Music Informatics

Reference 11

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Source-reported events for the cited work

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Observation d70d69ec-f262-4e6d-9acb-7913b0d923e4 · outbound

This paper cites Contrastive learn- ing of musical representations.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Contrastive learn- ing of musical representations

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:00.736849Z

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Observation d9a493ef-32e2-400e-9217-934118d4d34b · outbound

This paper cites Codified audio language modeling learns useful representations for music information retrieval.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Codified audio language modeling learns useful representations for music information retrieval

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:00.556330Z

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Observation b138a273-f183-4747-8d7d-8b2a8f188898 · outbound

This paper cites Supervised and Unsupervised Learning of Audio Representations for Music Understanding.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Supervised and Unsupervised Learning of Audio Representations for Music Understanding

Reference 14

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Source-reported events for the cited work

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Observation c2bf2af4-3915-4dc3-91b7-ecdb7f6e5993 · outbound

This paper cites Freeman, Jessie Wang, Sherry Cai, and KatherineM.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Freeman, Jessie Wang, Sherry Cai, and KatherineM

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:00.431173Z

Source-reported events for the cited work

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Observation 315b912d-4b93-4224-aa5c-b09749dee9b4 · outbound

This paper cites wav2vec: Unsupervised pre-training for speech recognition.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models wav2vec: Unsupervised pre-training for speech recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:06:00.230779Z

Source-reported events for the cited work

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Observation 25d1bd04-b69d-4344-a163-75ea9161965a · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Hubert: Self-supervised speech representation learning by masked prediction of hidden units

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:59.928652Z

Source-reported events for the cited work

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Observation 218c925e-a4aa-4497-ba42-15e85c138bfd · outbound

This paper cites MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 18

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Source-reported events for the cited work

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Observation 93e2fabd-2865-48a5-bb8b-88f70466276e · outbound

This paper cites Self-supervised learning with random-projection quantizer for speech recognition.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Self-supervised learning with random-projection quantizer for speech recognition

Reference 19

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Observation b6d2a11f-30f8-4932-8eb3-a91a6585aefb · outbound

This paper cites Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?

Reference 20

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Observation ad8b857a-d35a-4139-9563-4b7cb6a970f6 · outbound

This paper cites Layer-wise analysis of a self-supervised speech representation model.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Layer-wise analysis of a self-supervised speech representation model

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:59.394216Z

Source-reported events for the cited work

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Observation c035fea0-94a9-4f72-bed2-aef1cf739023 · outbound

This paper cites Liu, Cheng- I Lai, Haibin Wu, Jiatong Shi, Xuankai Chang, Hsiang-Sheng Tsai, Wen-Chin Huang, Tzu hsun Feng, Po-Han Chi, Yist Y.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Liu, Cheng- I Lai, Haibin Wu, Jiatong Shi, Xuankai Chang, Hsiang-Sheng Tsai, Wen-Chin Huang, Tzu hsun Feng, Po-Han Chi, Yist Y

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 77e055ca-dc0f-400b-b57b-2b65d10e45a9 · outbound

This paper cites MARBLE: Music Audio Representation Benchmark for Universal Evaluation.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models MARBLE: Music Audio Representation Benchmark for Universal Evaluation

Reference 23

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Source-reported events for the cited work

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Observation e56e578f-8b3a-4696-b2f1-43f5bb32b03e · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:59.057122Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 377bcae6-c52f-4742-8655-64623ff324cc · outbound

This paper cites Advances in residual vector quantization: A review.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Advances in residual vector quantization: A review

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:58.877723Z

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Observation 6cf9e074-cb8e-4a1e-8941-39bdc97b284b · outbound

This paper cites The million song dataset.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models The million song dataset

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:58.692091Z

Source-reported events for the cited work

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Observation fa72f0d1-d06c-43f9-92cd-631e3e0d6125 · outbound

This paper cites Relations between two sets of variates.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Relations between two sets of variates

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:58.557201Z

Source-reported events for the cited work

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Observation cd1447f1-e243-4277-b2f7-4ec82ae1aeaa · outbound

This paper cites Svcca: Singular vector canonical correlation analysis for deep learning dynamics and interpretability.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Svcca: Singular vector canonical correlation analysis for deep learning dynamics and interpretability

Reference 28

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Observation a980500c-e345-4267-828b-e9528db167d4 · outbound

This paper cites A neural network that finds a naturalistic so- lution for the production of muscle activity.Nature Neuroscience, page 1025–1033, Jul 2015.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models A neural network that finds a naturalistic so- lution for the production of muscle activity.Nature Neuroscience, page 1025–1033, Jul 2015

Reference 29

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Observation 6c0c51e5-f56c-471a-a48f-0438729b505a · outbound

This paper cites Morcos, Maithra Raghu, and Samy Bengio.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Morcos, Maithra Raghu, and Samy Bengio

Reference 30

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Observation 5e80005a-8637-412d-9ac7-f8a0d9613f3f · outbound

This paper cites Neu- ral audio synthesis of musical notes with wavenet autoencoders.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Neu- ral audio synthesis of musical notes with wavenet autoencoders

Reference 31

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Observation 9826e2c9-f844-4b75-9456-a9b9e296db94 · outbound

This paper cites V ocalset: A singing voice dataset.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models V ocalset: A singing voice dataset

Reference 32

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Observation 621ffcf2-1421-48d8-850f-a471c50c7a3e · outbound

This paper cites Tzanetakis and P.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Tzanetakis and P

Reference 33

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Observation c6b6f3c0-e917-40c0-9004-3552bfc45adc · outbound

This paper cites Caro, Erik M.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Caro, Erik M

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:57.754059Z

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Observation ab32d531-7d2a-45b1-b59b-7745c758fc49 · outbound

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

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models The harmonix set: Beats, downbeats, and functional segment annotations of western popular music

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:57.668921Z

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Observation 60082b96-8d3c-42eb-a152-06b10dfa428b · outbound

This paper cites Evaluation of algorithms using games: The case of mu- sic tagging.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Evaluation of algorithms using games: The case of mu- sic tagging

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:57.609063Z

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Observation 341419e3-4c77-4e32-a151-59477eb26d50 · outbound

This paper cites Two data sets for tempo estimation and key detection in electronic dance music annotated from user corrections.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Two data sets for tempo estimation and key detection in electronic dance music annotated from user corrections

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:57.512753Z

Source-reported events for the cited work

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Observation 4cc1e258-4270-4c12-bc7a-01dcf23f582b · outbound

This paper cites Mir eval: A transparent implementation of common mir metrics.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Mir eval: A transparent implementation of common mir metrics

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:57.419662Z

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Observation 30a79f16-94e4-41ef-91c5-4ab9dd9e0b5e · outbound

This paper cites Deep contextualized word representations.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Deep contextualized word representations

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:57.335343Z

Source-reported events for the cited work

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Observation 999f0691-12ec-4619-915f-d4b0badc3a51 · outbound

This paper cites Comparative layer- wise analysis of self-supervised speech models.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Comparative layer- wise analysis of self-supervised speech models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:05:57.247631Z

Source-reported events for the cited work

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Pith citing papers

Observation 39a9a0a6-60e4-4052-bea7-1b5c7ae6983e · inbound