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Paper Citation Record · LEDGER

A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features

As of 10 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.19688.

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

pith.paper-citation-record.v1
2607.19688 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:01:57.196476Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2974b1a1-0e9b-4ee9-8600-2a5f2a49e72e · outbound

This paper cites and Bosch, Juan Jos.

A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features and Bosch, Juan Jos

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T12:01:57.107208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:01:57.107208Z digest=sha256:310549d825cdd7f3ac5d3c8df5ce61665b42f86b02aa11e488d2563062fb3388

Observation b4429c7c-5232-414b-8d29-a9fedb23b98d · outbound

This paper cites Proc.\ International Society for Music Information Retrieval Conference (ISMIR) , year =.

A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features Proc.\ International Society for Music Information Retrieval Conference (ISMIR) , year =

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T12:01:57.112671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:01:57.112671Z digest=sha256:c9ceb717876853d1e4a83c87a44eaf91e24eabd63c23433af886428254933da7

Observation 3dd3cebd-f8cf-4656-9ffa-b7cbf254a057 · outbound

This paper cites Hybrid Spectrogram and Waveform Source Separation , booktitle =.

A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features Hybrid Spectrogram and Waveform Source Separation , booktitle =

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T12:01:57.117854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:01:57.117854Z digest=sha256:043189bb6fc96870cec21b96ec5cb1fc283f6e4755bbfde46fd0af85508bb834

Observation d949e0fb-134b-4f84-8d6c-0bedcbd70441 · outbound

This paper cites ACE-Step: A Step Towards Music Generation Foundation Model.

A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features ACE-Step: A Step Towards Music Generation Foundation Model

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T12:01:57.134742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:01:57.134742Z digest=sha256:25d156671539189d94763002602146b43562f5ba32d51d66c4ea5b906f019e06

Observation fc659d8a-97ad-45bd-a337-b574650c0eeb · outbound

This paper cites arXiv preprint arXiv:2602.00744 , year =.

A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features arXiv preprint arXiv:2602.00744 , year =

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T12:01:57.148754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:01:57.148754Z digest=sha256:e549028d32c31fa05a66bb6844d3fbdacfb50a7e1b4ba6c9d6e79e07629faa7e

Observation 65899607-4d16-4a30-8b71-4dd354758b53 · outbound

This paper cites A Decomposed Retrieval-Edit-Rerank Framework for Chord Generation.

A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features A Decomposed Retrieval-Edit-Rerank Framework for Chord Generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T12:01:57.153922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:01:57.153922Z digest=sha256:f7cd18d9a4d83bb748665cab856e384fa1f0cab7f677d60012a1719dac0da4b6

Observation 48d248f8-310a-40e6-94d8-691579ad0681 · outbound

This paper cites SongEval: A Benchmark Dataset for Song Aesthetics Evaluation.

A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features SongEval: A Benchmark Dataset for Song Aesthetics Evaluation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T12:01:57.166253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:01:57.166253Z digest=sha256:6a8478a061f99ad108bc55c9f6ae1078672faa555174bf9c63b8e71ad27c2000

Observation c4a383f7-f9a9-48d0-a923-a667b84af665 · outbound

This paper cites Proc.\ International Society for Music Information Retrieval Conference (ISMIR) , year =.

A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features Proc.\ International Society for Music Information Retrieval Conference (ISMIR) , year =

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T12:01:57.171725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:01:57.171725Z digest=sha256:d5e916c53c437481b3ae9f2d02c5bb6b019c479da537c82e4c95a1a48e5a1818

Observation fd68d909-d93b-4c12-a825-7060332a346c · outbound

This paper cites Proc.\ International Conference on Learning Representations (ICLR) , year =.

A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features Proc.\ International Conference on Learning Representations (ICLR) , year =

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T12:01:57.176335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:01:57.176335Z digest=sha256:16f5d431309f74e83cfbe2cbe43662240d394d05f058c0da9c4fd14acc09728f

Observation ea72b92a-4c41-4212-bc68-4facf1e553c0 · outbound

This paper cites an unresolved cited work.

A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T12:01:57.181086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:01:57.181086Z digest=sha256:e03058524c811b16f9e85bdcc43f8849928c905d9592afd1f03f2a244524fb79

Observation 9214f34e-227b-434a-bd65-2a17eb1a88bd · outbound

This paper cites an unresolved cited work.

A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T12:01:57.186054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:01:57.186054Z digest=sha256:601ca17de8f5ad9a20485d6cdbc2abc48d8c26f64a01db99b021194001d0b98d

Observation e178b6d2-9eb0-419b-92e7-139a2000bda1 · outbound

This paper cites 2019 , howpublished =.

A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features 2019 , howpublished =

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T12:01:57.190549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:01:57.190549Z digest=sha256:28340a1860f22650832f944ddb58546bd7288c11d5623f2fe90c81e38aaeb3c5

Observation c62f5672-e9ac-4f83-8923-7e233367d29b · outbound

This paper cites SongBench: A Fine-Grained Multi-Aspect Benchmark for Song Quality Assessment.

A Diagnostic Evaluation Framework for AI-Generated Cover Songs Using Music-Theoretic and Acoustic Features SongBench: A Fine-Grained Multi-Aspect Benchmark for Song Quality Assessment

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T12:01:57.196476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:01:57.196476Z digest=sha256:361775059ea790d18cdd3a3ee366937d764d3d1592bc8a2cab900c4726a99297

Pith citing papers

No inbound Pith citation observations are available.