Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
musicnn: Pre-trained convolutional neural networks for music audio tagging
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1909.06654.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:55.675139Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T17:23:45.472156Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 63c24c38-405f-4925-bd16-d7ed4da42898 · inbound
Universal Music Representations? Evaluating Foundation Models on World Music Corpora cites this paper.
Universal Music Representations? Evaluating Foundation Models on World Music Corpora musicnn: Pre-trained convolutional neural networks for music audio tagging
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:34:55.675139Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18ca0133-2cc2-4ffe-9f21-aeab7596264b · 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 musicnn: Pre-trained convolutional neural networks for music audio tagging
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:01:13.300715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 66ee0426-d398-4b1a-b807-682640b4a72d · inbound
Multimodal Music Recommendation System using LLMs cites this paper.
Multimodal Music Recommendation System using LLMs musicnn: Pre-trained convolutional neural networks for music audio tagging
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T17:23:45.473551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.