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Paper Citation Record · LEDGER

Supervised and Unsupervised Learning of Audio Representations for Music Understanding

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2210.03799.

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

pith.paper-citation-record.v1
2210.03799 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:55.715841Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:16:43.591453Z

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 b138a273-f183-4747-8d7d-8b2a8f188898 · inbound

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models cites this paper.

Layer-wise Investigation of Large-Scale Self-Supervised Music Representation Models Supervised and Unsupervised Learning of Audio Representations for Music Understanding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T15:05:55.715841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:05:55.715841Z digest=sha256:388a024dfe482e75be4d7e62930deb1ac06291bcff62a0211e0b1752e17fa9a0

Observation 2a9027ad-44c0-42fd-8723-1f28eb2e4486 · 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 Supervised and Unsupervised Learning of Audio Representations for Music Understanding

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:01:13.331077Z

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.

source=pdf_text observed=2026-05-08T07:17:42.922029Z digest=sha256:8974f28fe399449393797b21efbd546330392d11e1feb753982093bbe8d08a91

Observation 4e3f27c2-d2b9-4f2b-ba68-6b3357dc84b4 · inbound

Evaluating Pretrained Music Embeddings for Cross-Performance Jazz Standard Recognition cites this paper.

Evaluating Pretrained Music Embeddings for Cross-Performance Jazz Standard Recognition Supervised and Unsupervised Learning of Audio Representations for Music Understanding

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T06:16:43.592722Z

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.

source=arxiv_source observed=2026-07-02T06:13:43.057972Z digest=sha256:f6f01f3af21ec852fef203418baca274b2d02a3ce0efa99b807a079d3a76b941