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
1
Authors
5
Topic labels
3
Source readout
Transactions of the International Society for Music Information Retrieval
tismir
Core corpus
6
Ranking readout
This block uses the same resolved ranking run as Recommended. Ranks here are materialized paper_scores ranks; live Emerging may be reordered by the bounded ML scorer. Family rank is global within each family, but rank is only shown when this paper lands inside the surfaced top 50.
Families present
3
Top 50
3
Run label
shadow-generalization-product-candidate-ranking-v1
Snapshot
source-snapshot-shadow-generalization-v1-20260521
Scope: family global | run rank-83787b91ef
Emerging
In top 50 at rank 22
Emerging: embedding slice fit vs included-corpus centroid (title+abstract), plus citation velocity and topic growth; not universal relevance. Bridge signal not used here.
Signals: semantic=0.8041, citation_velocity=0.0600, topic_growth=0.9050, diversity_penalty=0.0000
Embedding slice fit (corpus centroid): high; used in final ranking (contribution to score: 0.1608)
Recent attention: low; used in final ranking (contribution to score: 0.0300)
Topic momentum: high; used in final ranking (contribution to score: 0.2715)
Cross-cluster signal: not computed for this run
Similarity penalty: reduces score when non-zero (contribution to score: 0.0000)
Bridge
In top 50 at rank 8
Multi-topic paper in active topics; no cluster_version on this run so bridge_score was not computed.
Signals: citation_velocity=0.0600, topic_growth=0.9050, diversity_penalty=0.0000
Semantic match: not computed for this run
Recent attention: low; used in final ranking (contribution to score: 0.0210)
Topic momentum: high; used in final ranking (contribution to score: 0.5882)
Cross-cluster signal: not computed for this run
Topic breadth penalty: reduces score when non-zero (contribution to score: 0.0000)
Under-cited
In top 50 at rank 20
Low-cite candidate pool (see docs/candidate-pool-low-cite.md v0): core corpus, recency floor, citation ceiling, title+abstract gate; popularity penalty among pool members only. Semantic and bridge not yet modeled.
Signals: citation_velocity=0.0600, topic_growth=0.9050, diversity_penalty=0.2789
Semantic match: not computed for this run
Recent attention: low; used in final ranking (contribution to score: 0.0180)
Topic momentum: high; used in final ranking (contribution to score: 0.6335)
Cross-cluster signal: not computed for this run
Pool popularity penalty: reduces score when non-zero (contribution to score: -0.0697)
Over the past two decades, the music information retrieval (MIR) community has grown significantly in both the volume and diversity of research contributions. However, questions remain about who is represented within the community-and who is not. The influence of Western views shapes MIR research, affecting author representation, topic selection, cross-cultural considerations, and reproducibility. While discussions on the impact of Western centricity have gained traction in adjacent fields, there remains a need to critically assess its presence and limitations within MIR. This study analyzes the corpus of 2,458 ISMIR conference papers published from 2000-2024 to examine the geographic and institutional distribution of authors. Our findings indicate that International Society for Music Information Retrieval research remains Western-centric, with disproportionate representation from the Global North yet with increasing cross-institutional collaborations. We provide design suggestions to support a more geographically diverse authorship. In support of our findings and to facilitate future research, we release the aggregated data as an open dataset, ISMIR25Meta, along with a topic-based visualizer, ISMIR25Viz.
Neighborhood labels
Topic labels are imported metadata and can be noisy; use them as coarse navigation hints, not authoritative classifications.
Music and Audio ProcessingDiverse Musicological StudiesInformation Retrieval and Search Behavior
Neighbor surface
Similar papers use a separately configured neighbor embedding; it may differ from the embedding version used by the current ranked run.
Next 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.