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Paper Citation Record · LEDGER

A Comprehensive Survey for Evaluation Methodologies of AI-Generated Music

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.13736.

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

pith.paper-citation-record.v1
2308.13736 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:47:17.634160Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T00:45:12.348646Z

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 b4b6b0b0-5d18-4f6c-ae1c-85f110e50889 · inbound

Missing Melodies: AI Music Generation and its "Nearly" Complete Omission of the Global South cites this paper.

Missing Melodies: AI Music Generation and its "Nearly" Complete Omission of the Global South A Comprehensive Survey for Evaluation Methodologies of AI-Generated Music

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T21:49:25.885118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:49:25.885118Z digest=sha256:04f872bd8a47410c32ea4b205ab187e030931361a6b615d970ccd68771909709

Observation 72b31457-76c3-46f6-acf4-8adaff82c9f6 · inbound

Workflow-Based Evaluation of Music Generation Systems cites this paper.

Workflow-Based Evaluation of Music Generation Systems A Comprehensive Survey for Evaluation Methodologies of AI-Generated Music

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:03.141641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:46:03.141641Z digest=sha256:36b923348671d28cc7a9677e7d7d9e733658ec3357347aa5b8abfd27694df1c2

Observation 6b68b129-e91d-448f-9282-f7233acd1893 · inbound

APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music cites this paper.

APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music A Comprehensive Survey for Evaluation Methodologies of AI-Generated Music

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:56:29.727988Z

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=2026-05-07T13:27:41.439049Z digest=sha256:4f1761972c06b312859850d41c14cd0ad757166b0d01150b30794d58163d4872

Observation 593e7019-97a1-4f0c-a4b4-56dfd7385c60 · inbound

APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music cites this paper.

APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music A Comprehensive Survey for Evaluation Methodologies of AI-Generated Music

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:45:12.350450Z

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=2026-07-01T00:35:42.697038Z digest=sha256:607c4c6899d7e2fb0c044622f79e4d65facaa43372f25b3252748f6d8a6acbd2

Observation 1fa807b5-de20-4c5b-a697-7c3065412157 · inbound

Agogic: Performance-Timed Music Tokens for LLM-Native Text-to-Symbolic-Music Generation cites this paper.

Agogic: Performance-Timed Music Tokens for LLM-Native Text-to-Symbolic-Music Generation A Comprehensive Survey for Evaluation Methodologies of AI-Generated Music

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T14:47:17.634160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:47:17.634160Z digest=sha256:898c993b135e4fcce3d69df5be88e4495946de8e4bc9dfb2ec9799acca2c78c2