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Paper Citation Record · LEDGER

Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.09026.

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

pith.paper-citation-record.v1
2409.09026 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:48:04.815916Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T21:01:13.258461Z

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 a12b4cdf-efc2-41a9-b819-d6c5d0224b51 · inbound

Leveraging Artist Catalogs for Cold-Start Music Recommendation cites this paper.

Leveraging Artist Catalogs for Cold-Start Music Recommendation Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:05:58.968833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T17:48:04.815916Z digest=sha256:2a296dbc34794671591e34ae610de10e3452ed05fb2141f14b76c2d7000f64b4

Observation c4d43410-f67d-4bd4-acbe-8ee3a300f572 · 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 Towards Leveraging Contrastively Pretrained Neural Audio Embeddings for Recommender Tasks

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:01:13.262826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T07:17:42.922029Z digest=sha256:b12e90bde63a4254986252935986d198058b805619ab28dc5b7600cd33cb41c3