Paper Citation Record · LEDGER

musicnn: Pre-trained convolutional neural networks for music audio tagging

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1909.06654.

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

pith.paper-citation-record.v1
1909.06654 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 2026-08-11T20:29:54.360572Z

measured 0 of 1 external citation measurements

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 b618e5c1-cae3-4c1b-a007-95014eb3f470 · inbound

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation cites this paper.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation musicnn: Pre-trained convolutional neural networks for music audio tagging

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T20:29:54.360572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.