Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-09T22:50:19.910504Z
Paper Citation Record · LEDGER
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations
As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.06929.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
18 of 18 outbound references displayed
- verified exact4
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier1
- metadata mismatch13
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1072641c-65d8-42b1-8537-ad07252dc834 · outbound
This paper cites MusicLM: Generating Music From Text.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations MusicLM: Generating Music From Text
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T22:56:37.696138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 44298672-28fe-4ed1-b597-0e77f43a5107 · outbound
This paper cites Yue: Scaling open foundation models for long-form music generation.arXiv:2503.08638.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations Yue: Scaling open foundation models for long-form music generation.arXiv:2503.08638
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-09T22:56:37.701417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 600d09f4-f8de-4494-9ec8-54884b5f3f2b · outbound
This paper cites Simple and Controllable Music Generation.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations Simple and Controllable Music Generation
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T22:56:37.707451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e7f9d0d1-e9b9-4121-a88e-17fbe8afea2a · outbound
This paper cites An Order-Complexity Model for Aesthetic Quality Assessment of Homophony Music Performance.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations An Order-Complexity Model for Aesthetic Quality Assessment of Homophony Music Performance
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T22:56:37.674070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f846dc8d-16f9-4d8f-af17-f167e909f6d7 · outbound
This paper cites VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations VGA-Bench: A Unified Benchmark and Multi-Model Framework for Video Aesthetics and Generation Quality Evaluation
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T22:56:37.669414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 59ce9b40-46a9-4d32-bdd8-1ed7ce3ca9e2 · outbound
This paper cites MusicEval: A Generative Music Dataset with Expert Ratings for Automatic Text-to-Music Evaluation.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations MusicEval: A Generative Music Dataset with Expert Ratings for Automatic Text-to-Music Evaluation
Reference 6
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T22:56:37.678628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d667087a-b95b-4c98-8d1d-e65143c5955e · outbound
This paper cites SongEval: A Benchmark Dataset for Song Aesthetics Evaluation.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations SongEval: A Benchmark Dataset for Song Aesthetics Evaluation
Reference 7
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T22:56:37.681071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d964627b-e420-4bcf-9b05-9f5d78d2e872 · outbound
This paper cites Representation Learning with Contrastive Predictive Coding.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations Representation Learning with Contrastive Predictive Coding
Reference 8
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T22:56:37.666824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5f366497-13ab-40eb-81e1-dc16c74b7c3e · outbound
This paper cites wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Reference 9
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T22:56:37.686760Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 898bec03-8a77-490c-93c9-935918f5a392 · outbound
This paper cites MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization.
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 2026-08-20T06:33:59.587034+00:00.
Observation 6dfb6e8a-eceb-49a8-86e2-e512d2929b61 · outbound
This paper cites MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T22:56:37.693891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 78d1d03f-b467-40ad-987b-e1ac16b2d8a7 · outbound
This paper cites PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition
Reference 12
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T22:56:37.704915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2006652f-8513-41f3-a7e3-23792a6fb7ef · outbound
This paper cites HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection
Reference 13
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T22:56:37.676298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b51faf86-aaf9-4d13-bebe-22df0c5875a7 · outbound
This paper cites Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T22:56:37.698704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d12fc94d-a7a1-498d-9425-c935bf44bf23 · outbound
This paper cites Learning Transferable Visual Models From Natural Language Supervision.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations Learning Transferable Visual Models From Natural Language Supervision
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T22:56:37.671742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f71dce6b-3382-45ae-8e88-1d384566a4c6 · outbound
This paper cites In: Zong, C., Xia, F., Li, W., Navigli, R.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations In: Zong, C., Xia, F., Li, W., Navigli, R
Reference 16
- Resolution
- malformed identifier
- doi_truncated, observed 2026-07-09T22:56:37.576043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b7a178b7-dd9b-4d32-8089-5881920c0e1d · outbound
This paper cites MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of Music.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of Music
Reference 17
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T22:56:37.691467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 51ab03d3-e8b9-42c9-9972-1da17493b4bf · outbound
This paper cites Qwen2.5 Technical Report.
MADB: A Large-Scale Music Aesthetics Dataset with Professional and Multi-Dimensional Annotations Qwen2.5 Technical Report
Reference 18
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-09T22:56:37.684247Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.