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Paper Citation Record · LEDGER

A Comprehensive Survey for Evaluation Methodologies of AI-Generated Music

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 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 2026-08-07T04:46:03.141641Z

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 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=sha256:9fc28793c4033e2cd5f16c7877360072f8deb2d87b4872cb30fa93ad7b401c46

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T13:27:41.439049Z digest=sha256:378e20a1663adc9cd55568291b5a100d65b3fbd1168d84258235614a467077cb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T00:35:42.697038Z digest=sha256:839ed13f255cfc6cd5abb101dd5f87eef237a95edb7957cb2c3722e405fb8e47