Paper Citation Record · LEDGER

A Survey of AI Music Generation Tools and Models

As of 7 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 2026-08-07T06:34:17.273281+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.

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.

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 2026-08-07T06:34:17.273281+00:00.

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.

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 2026-08-07T06:34:17.273281+00:00.