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Paper Citation Record · LEDGER

FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2201.10936.

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

pith.paper-citation-record.v1
2201.10936 v4

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 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:28:26.626971Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:26:12.969864Z

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 d5362403-a65a-4566-9025-37955489269a · inbound

Generative AI for Music and Audio cites this paper.

Generative AI for Music and Audio FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T15:10:14.176396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:10:14.176396Z digest=sha256:1b78c94a704522aad51b8e0b3ed07e2d762fbd5885fa6956d4ccdbf7444de763

Observation 7e52ab80-47bb-47db-90a8-982eb5a055a6 · inbound

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance cites this paper.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:13.945899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:13.945899Z digest=sha256:3c7f5e99efce9f4b7823387606dcc1c9f1441fecef29bb426dd877ef9f2ca633

Observation 6b245563-a57d-49d2-a805-a36491e6fdad · inbound

Composer Vector: Style-steering Symbolic Music Generation in a Latent Space cites this paper.

Composer Vector: Style-steering Symbolic Music Generation in a Latent Space FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:58:09.035407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T18:53:32.258468Z digest=sha256:414036cd2b5fdaad16210d1fc8e506eb81a7dac7356d0c690563ee28f6109fc3

Observation 74f19f28-3b97-4330-8d72-5ded756af6a6 · inbound

Latent Space Disentanglement via Activation Steering for Interpretable Attribute Control in Symbolic Music Generation cites this paper.

Latent Space Disentanglement via Activation Steering for Interpretable Attribute Control in Symbolic Music Generation FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T20:26:12.972134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T21:06:00.198911Z digest=sha256:d72e8a6b130a3019328211437c6cb2cbcbbcc7c7ae993bff107530cd937bfedf

Observation cffb460f-ea7f-46bd-8e1f-9d125e47fcf4 · inbound

Do Text-to-Music Models Really Follow Instructions? A Counterfactual Evaluation of Key and Beat Grouping cites this paper.

Do Text-to-Music Models Really Follow Instructions? A Counterfactual Evaluation of Key and Beat Grouping FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T00:28:26.626971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:28:26.626971Z digest=sha256:fa1d645cce599de2ce185fc992283889e6076fd64861b55506ca6a90107ee1dd