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Paper Citation Record · LEDGER

MMM : Exploring Conditional Multi-Track Music Generation with the Transformer

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2008.06048.

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

pith.paper-citation-record.v1
2008.06048 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:44.614639Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:55:59.039374Z

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 db998460-ee34-4d73-8e1b-6c7ca5feccfa · inbound

Generative AI for Music and Audio cites this paper.

Generative AI for Music and Audio MMM : Exploring Conditional Multi-Track Music Generation with the Transformer

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T15:10:14.158686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:10:14.158686Z digest=sha256:9fa93f28e81363b263238b761aa1314b914ed102ef7e924f56fd417947ac5f17

Observation c79265e7-0249-48ae-8a68-880dc6e8699a · inbound

Exploring the Needs of Practising Musicians in Co-Creative AI Through Co-Design cites this paper.

Exploring the Needs of Practising Musicians in Co-Creative AI Through Co-Design MMM : Exploring Conditional Multi-Track Music Generation with the Transformer

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T22:48:55.267029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:48:55.267029Z digest=sha256:f124af93145e1e4872ff343a0762110a63c8a0713819f12c398d2b9be67c26e1

Observation 0dee9259-3909-4923-a573-cc3c578bdb90 · inbound

Calliope: An Online Generative Music System for Symbolic Multi-Track Composition cites this paper.

Calliope: An Online Generative Music System for Symbolic Multi-Track Composition MMM : Exploring Conditional Multi-Track Music Generation with the Transformer

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T11:59:44.614639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:59:44.614639Z digest=sha256:66b05c3683873d0eb1ec973135f9754061f29071815f8ce3d09eeeb5eb5412e1

Observation 9d2eec2b-73f6-46f9-aa8d-51c4f8601eba · inbound

Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition cites this paper.

Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition MMM : Exploring Conditional Multi-Track Music Generation with the Transformer

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T11:59:11.187006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:59:11.187006Z digest=sha256:fee31d89cf8abbe206a310296cf18323b9202e7bad34974611ec8ef78fdc31eb

Observation 72072e8d-d76a-4b9c-bb9a-1a028a60f279 · inbound

Moonbeam: A MIDI Foundation Model Using Both Absolute and Relative Music Attributes cites this paper.

Moonbeam: A MIDI Foundation Model Using Both Absolute and Relative Music Attributes MMM : Exploring Conditional Multi-Track Music Generation with the Transformer

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:21:25.442635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:21:25.442635Z digest=sha256:23d28f5ea984e60c59298dce6d38cc0699004fff3f2241f5fb43b1b7c1214875

Observation c25ced79-d50a-499f-b567-019f41e45128 · inbound

The Florence Price Art Song Dataset and Piano Accompaniment Generator cites this paper.

The Florence Price Art Song Dataset and Piano Accompaniment Generator MMM : Exploring Conditional Multi-Track Music Generation with the Transformer

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T21:54:43.978521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:54:43.978521Z digest=sha256:52fc0604fdd1ecccc0dbfd04367ce91614b367ad74ea3adac99bd464be4d2338

Observation e5d067be-5dcf-47ce-af7c-bb25a1901ff0 · inbound

Towards Real-Time Human-AI Musical Co-Performance: Accompaniment Generation with Latent Diffusion Models and MAX/MSP cites this paper.

Towards Real-Time Human-AI Musical Co-Performance: Accompaniment Generation with Latent Diffusion Models and MAX/MSP MMM : Exploring Conditional Multi-Track Music Generation with the Transformer

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:55:59.044482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T16:55:05.793926Z digest=sha256:8d281f53e225442e500aa75ab0ad6c6a2b92f42a9a2bd4592f0244d0290b5462