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Paper Citation Record · LEDGER

A Survey of AI Music Generation Tools and Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.12982.

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

pith.paper-citation-record.v1
2308.12982 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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:12:24.890167Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T11:54:51.333331Z

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 b743b388-2dad-45b3-bd29-672b2f5f2ae2 · inbound

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation cites this paper.

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation A Survey of AI Music Generation Tools and Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T05:12:24.890167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:12:24.890167Z digest=sha256:22b40a7d6ed7debdb5c89b99334ea82162184a9adf2301d37cb4aa170cc5fc3a

Observation 4fab12ea-830e-4523-88a1-003bf2ce35af · inbound

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

Workflow-Based Evaluation of Music Generation Systems A Survey of AI Music Generation Tools and Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:03.018166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:46:03.018166Z digest=sha256:f9995b65a0fa54cc6e6398d587cd90ac57b4544dc82110941f3ccaf83c302933

Observation 77c9e2c9-706b-4bec-a59e-1004d2d5784a · inbound

Go witheFlow: Real-time Emotion Driven Audio Effects Modulation cites this paper.

Go witheFlow: Real-time Emotion Driven Audio Effects Modulation A Survey of AI Music Generation Tools and Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-22T11:54:51.335840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T11:52:21.283734Z digest=sha256:66b6c6a6bcb69734b61a4e3614d0e7fac6e7a17959af4210a8587fdbdf45eefe

Observation 52214299-d7d1-48eb-967c-2241f9f9eedc · inbound

Go witheFlow: Real-time Emotion Driven Audio Effects Modulation cites this paper.

Go witheFlow: Real-time Emotion Driven Audio Effects Modulation A Survey of AI Music Generation Tools and Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-04T12:45:58.331430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:45:58.331430Z digest=sha256:ac9316b32ff1ff452ecdb95791ee3ed89756120a165e7e83ffba7af35fa966c5

Observation cd58edfe-44e9-4f54-a93e-784203c3d84b · inbound

From Daily Song to Daily Self: Supporting Reflective Songwriting of Deaf and Hard-of-Hearing Individuals through Generative Music AI cites this paper.

From Daily Song to Daily Self: Supporting Reflective Songwriting of Deaf and Hard-of-Hearing Individuals through Generative Music AI A Survey of AI Music Generation Tools and Models

Reference 136

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T15:36:13.407951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T15:34:22.360954Z digest=sha256:216b94205cc8389b138c68c1ef88a16620e2364842b18105e971fe2f538d8a04