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Paper Citation Record · LEDGER

Codified audio language modeling learns useful representations for music information retrieval

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2107.05677.

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

pith.paper-citation-record.v1
2107.05677 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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:59:53.056721Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:16:43.593768Z

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 f053fbdc-f007-4176-b7d4-82c4dcc87072 · inbound

CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following cites this paper.

CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following Codified audio language modeling learns useful representations for music information retrieval

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T00:59:53.056721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:59:53.056721Z digest=sha256:8af6a63451c3ecc4d32ce5ce02a47c889e707040c65f12e561c136fde3423403

Observation 7d52f9b4-467b-4e6a-bef9-a1991bc0a7b9 · inbound

Segment Transformer: AI-Generated Music Detection via Music Structural Analysis cites this paper.

Segment Transformer: AI-Generated Music Detection via Music Structural Analysis Codified audio language modeling learns useful representations for music information retrieval

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-04T20:54:13.052289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:54:13.052289Z digest=sha256:50b8e147e640f8a44170b857066c0a1db249b9518282911311a7840672b1c371

Observation e9841c64-7d82-4b9a-abed-63404979e0bb · 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 Codified audio language modeling learns useful representations for music information retrieval

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:01:13.407921Z

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=sha256:9c5403876c50a6d95bae3a5fcf0eef1b7213299b53422511177ddc54f7895b08

Observation c6e35b38-8692-4de5-899d-f07ad2c2d1b2 · inbound

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

Evaluating Pretrained Music Embeddings for Cross-Performance Jazz Standard Recognition Codified audio language modeling learns useful representations for music information retrieval

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-02T06:16:43.595080Z

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=sha256:4b598cf79177f9d17468db148494234f26d55cf14fc35d6ba876e1503a63e248