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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 9 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 2026-08-09T06:31:02.800959+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=sha256:7121107fa7c4429b27ef38b47d37d23149ec13ad62e477bb99293da9503a2027

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:adac816ef4aabf524962366147983453244f1dc6e91ec85ace7808c3790f3bd9

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:ab317ab669ebeab48ed30c71665b76108979b15f35f311e79a28bec8fd6695bb

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=sha256:67cb3f5471ec1bc85f9aa11fcfdb790c8afbb7d1f23b17ab2fee8d10bb2a7790

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:b7224ea71f77532bb431ab58925222e02c5990e1ca30154b38a161f9e307aaee

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:f27e3e964a0d658496fc48c2d5a5f22d4faab9f1f056234866ff2a32511871e2

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=sha256:163b87d155d59e1d9a1f678e91d2a9653e48b7a9c886e7509a7995e6d64cb0e7

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=sha256:8bbc6a946591661efa94e464d2f0281e9cfcbddeeadfa2948b36788e8a264ffa

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:a1253467455b7d867e65c03595b3e8bcd692400a0acb67d27c9abd187ef32c35

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=sha256:438c64cf57f8ebfc59d9f20b7df9925e927306285015c27c8fb79a30e92e9185

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=sha256:06815c8db004ffec0cb82210a72032fbe3c83a39a17f47194d15dbdf028bfa19

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:c19c7ecb5c1e19f60e204a269b601bd2f3c09c40a2614bfb26431c24b65a9209

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=sha256:470661e78d68db3710d8f278032fe2daf3bc8a9edaf0c5bc79a866ea4f898327

Pith citing papers

No inbound Pith citation observations are available.