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Paper Citation Record · LEDGER

A Survey of AI Music Generation Tools and Models

As of 10 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 2026-08-09T06:31:02.800959+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=sha256:360b66412fa16f347316d4a84a220b3c8caa4c971911a8266f7344b2f5340972

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:cdca1d62d6305b6df65b61f89510bc24d0cb8e31e7749fbec7cd2e475545d895

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

source=pdf_text observed=2026-05-22T11:52:21.283734Z digest=sha256:61c4e893e8d63f5560272eeca47ccc977ff7cdb306010c0a538a187a3f27a287

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

source=pdf_text observed=2026-05-15T15:34:22.360954Z digest=sha256:0941b7d2ea0d7d5a7a765a48c98d6e1f0c1960a65b561e9ea5206c4f639e5125