Paper year
2025
Detect emerging, bridge-candidate, and undercited papers inside a curated audio-ML corpus, then expose the signals behind every recommendation.
Paper dossier
Review source metadata, abstract, authors, topics, and local similarity context before moving into explanation and ranking views.
Paper year
2025
Citations
0
Authors
5
Topic labels
3
Source readout
Transactions of the International Society for Music Information Retrieval
tismir
Core corpus
6
Ranking readout
Ranking details could not be loaded (API 503).
This article details a correction to: Gómez-Marín, D., Ospina-Caicedo, R., Díaz-Cely, J., Paz, J., Jordà, S. and Herrera, P. (2024) 'Salsa, a Dataset for Beat Estimation in Salsa Music', Transactions of the International Society for Music Information Retrieval, 7(1), p. 264-273. Available at: https://doi.org/10.5334/tismir.183.
Neighborhood labels
Topic labels are imported metadata and can be noisy; use them as coarse navigation hints, not authoritative classifications.
Music and Audio ProcessingMusic Technology and Sound StudiesDiverse Musicological Studies
Neighbor surface
Similar papers use a separately configured neighbor embedding; it may differ from the embedding version used by the current ranked run.
Selective Annotation of Few Data for Beat Tracking of Latin American Music Using Rhythmic Features
0.520Next handoff
01
Use Recommended to see whether this paper behaves like an emerging or undercited signal in the current ranked feed, or how it appears on the bridge preview / diagnostics view.
02
Use Trends to understand whether its attached labels are heating up or cooling down inside the curated corpus.
03
Use Evaluation to compare the dossier readout against citation and recency baselines for the same resolved family run.