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Paper Citation Record · LEDGER

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1709.06298.

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

pith.paper-citation-record.v1
1709.06298 v2

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

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:27:56.793383Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T18:16:07.441155Z

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 1dfce699-058b-4465-ab9b-e11e3b8109db · inbound

Classical Music Prediction and Composition by means of Variational Autoencoders cites this paper.

Classical Music Prediction and Composition by means of Variational Autoencoders MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-25T18:16:07.446028Z

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=2026-05-25T18:14:31.305397Z digest=sha256:266fd9379cde77bcb7b88ad665b1f44f4d355c0494beae4cfe46c4ad3071e940

Observation 991eaf91-7425-4d41-9e0a-00cd0a568f3a · inbound

LSTM Based Music Generation System cites this paper.

LSTM Based Music Generation System MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T15:27:56.793383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:27:56.793383Z digest=sha256:8effd2e42f20cd38a38115799c8a437bd11eb92682c4c4c9b49276dae62ad042

Observation 051c7edc-84bc-492e-9831-8792d3205456 · inbound

Musical Attention Transformer: Music Generation Using a Music-Specific Attention Model cites this paper.

Musical Attention Transformer: Music Generation Using a Music-Specific Attention Model MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-21T01:44:22.736487Z

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=2026-05-21T01:44:20.282896Z digest=sha256:0f5e2cabc1a59d985f4f2f449db6bb2667d4ed7caf9f15279e14fa22d1a16586