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Paper Citation Record · LEDGER

MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2501.01108.

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

pith.paper-citation-record.v1
2501.01108 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:43:06.290192Z

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

0 of 0 outbound references displayed

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  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

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

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f1609d88-6b95-49b9-99b1-6f267395e0c8 · inbound

Towards Hallucination-Free Music: A Reinforcement Learning Preference Optimization Framework for Reliable Song Generation cites this paper.

Towards Hallucination-Free Music: A Reinforcement Learning Preference Optimization Framework for Reliable Song Generation MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T23:43:06.290192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:43:06.290192Z digest=sha256:6040922ab985973a1c61b513867760029c87f76d986d84dd881dbb7e4fe1f305

Observation 9ea7b282-98af-4e89-a446-fe71f12d221b · inbound

The AudioMOS Challenge 2025 cites this paper.

The AudioMOS Challenge 2025 MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T12:41:28.086037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:41:28.086037Z digest=sha256:9b95668197a8460cd992a729cc57c2fccd65efe05d090fefe487b3244a3662de

Observation 644e5120-df8e-454d-a734-6720a1df409f · inbound

Qwen3-Omni Technical Report cites this paper.

Qwen3-Omni Technical Report MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:20:37.908994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-11T00:20:37.406351Z digest=sha256:e7504ebbf9f9e1be2778bc9b3c2c65ba5a46f31b13874a49f44c3813dcbfd40b

Observation 431debaa-7bc1-4168-9d89-fdad44ba8f09 · inbound

SongFormer: Scaling Music Structure Analysis with Heterogeneous Supervision cites this paper.

SongFormer: Scaling Music Structure Analysis with Heterogeneous Supervision MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T10:46:16.847561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-18T10:45:09.089710Z digest=sha256:4110cbdfb2b9bf9073e754c50470be348d78270c793665fc7c3a69e7c8186ee0

Observation 1f31a174-8633-4e17-9659-dab533bdfcf6 · inbound

Revisiting Audio-language Pretraining for Learning General-purpose Audio Representation cites this paper.

Revisiting Audio-language Pretraining for Learning General-purpose Audio Representation MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T21:06:12.382168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:06:12.382168Z digest=sha256:8060b7831f1ce1b0da6e9e167a48264587008ad620900f6c5477cbdac54bd1c7

Observation 17484b94-1b38-4d80-bc7d-a3ef2264da95 · inbound

Song Aesthetics Evaluation with Multi-Stem Attention and Hierarchical Uncertainty Modeling cites this paper.

Song Aesthetics Evaluation with Multi-Stem Attention and Hierarchical Uncertainty Modeling MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T09:53:17.035715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:53:17.035715Z digest=sha256:3b7d39a17ca495c58ca1c54269de580f2cd55172632e7ec3efb21b57bb632927

Observation dad0b3c9-d006-4929-8cdd-cdfc23a95b72 · inbound

TADA! Tuning Audio Diffusion Models through Activation Steering cites this paper.

TADA! Tuning Audio Diffusion Models through Activation Steering MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-21T13:44:11.559770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T13:40:47.112814Z digest=sha256:e0ffa6ea0c32c982766694c41c83493f4f853ebf3ed0cc863987f6f78edcd955

Observation 278df64b-dfcc-4a83-90d8-d63e069ffbaf · inbound

Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity cites this paper.

Expectation and Acoustic Neural Network Representations Enhance Music Identification from Brain Activity MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T11:40:03.231410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-21T11:36:06.967549Z digest=sha256:456027580dbe3a4f593121bf530f99088a4bc2326a28e243100a03c6e6320771

Observation c1174bbd-5f24-4a02-8439-eedc36f3a386 · inbound

Leveraging Artist Catalogs for Cold-Start Music Recommendation cites this paper.

Leveraging Artist Catalogs for Cold-Start Music Recommendation MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:05:58.942847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:48:04.815916Z digest=sha256:40c4983b63d87dae5d0d7df9d1275e9733562d108f9527702f8ab3ff19d62df3

Observation 0c1959c6-52a9-4332-9ff2-769462418f25 · inbound

Revisiting Content-Based Music Recommendation: Efficient Feature Aggregation from Large-Scale Music Models cites this paper.

Revisiting Content-Based Music Recommendation: Efficient Feature Aggregation from Large-Scale Music Models MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:40:30.803472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T02:39:46.434831Z digest=sha256:e041d4e0f5ede86df90b7058c4e909fea95a13bdf7729a9c83422fb577dcdf61

Observation ce00352c-dab0-44dc-bde5-5f642c450665 · inbound

Adopting State-of-the-Art Pretrained Audio Representations for Music Recommender Systems cites this paper.

Adopting State-of-the-Art Pretrained Audio Representations for Music Recommender Systems MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 107

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:01:13.270020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T07:17:42.922029Z digest=sha256:7faa61db04ab4d1ec8408dc77d28cf264f5a6e6831930a18d8e5368ed426b4f2

Observation 09678ea7-ccfd-4125-8c5a-429fb08c4c39 · inbound

S2Accompanist: A Semantic-Aware and Structure-Guided Diffusion Model for Music Accompaniment Generation cites this paper.

S2Accompanist: A Semantic-Aware and Structure-Guided Diffusion Model for Music Accompaniment Generation MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T22:52:50.496167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-19T22:50:08.321514Z digest=sha256:650de4533fdaa442081cbd90b1734701a023dc8a5465cef3bd81b064c900da6f

Observation 0e572cf8-a02f-4dc9-a1ff-933a13c47f75 · inbound

UniVocal: Unified Speech-Singing Code-Switching Synthesis cites this paper.

UniVocal: Unified Speech-Singing Code-Switching Synthesis MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 91

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T00:46:24.538753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-28T13:17:13.510587Z digest=sha256:e91c0a68cec4bced3c7648cd8d18ad1e58af07ead60e976bfe1ea5dfccc605f4

Observation 0afdad27-e97c-41f5-b204-9ac793b001bd · inbound

FIGMA: Towards FIne-Grained Music retrievAl cites this paper.

FIGMA: Towards FIne-Grained Music retrievAl MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T15:47:06.185655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T23:32:09.401023Z digest=sha256:4635e55e22245d5b6dd572e890906cd66b04ad9960b396edea94860bc1c42e63

Observation 3f107914-97fb-409c-a448-b80b998cab54 · inbound

Making the Most of Limited Data: Score-Aware Training for Text-to-Music Generation cites this paper.

Making the Most of Limited Data: Score-Aware Training for Text-to-Music Generation MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:07:08.935007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T23:00:07.144841Z digest=sha256:f49146fa109348638f905eec1023b5696c644b824007fe532ad450a583f0b902

Observation 898bec03-8a77-490c-93c9-935918f5a392 · inbound

MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations cites this paper.

MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-09T22:56:37.689183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-09T22:50:19.910504Z digest=sha256:c7967b909b72fbd23678adf7504a4acfc62e0921a899a3192eae610d97c4a37e