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Paper Citation Record · LEDGER

Deep Learning Techniques for Music Generation -- A Survey

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1709.01620.

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

pith.paper-citation-record.v1
1709.01620 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:01:41.339438Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

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 53026e53-00ef-48f7-8b3f-f8ded6cb97ae · inbound

MIDI-Sandwich: Multi-model Multi-task Hierarchical Conditional VAE-GAN networks for Symbolic Single-track Music Generation cites this paper.

MIDI-Sandwich: Multi-model Multi-task Hierarchical Conditional VAE-GAN networks for Symbolic Single-track Music Generation Deep Learning Techniques for Music Generation -- A Survey

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-25T10:15:37.240130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-25T10:11:27.285841Z digest=sha256:a402473895bf92af928681f2ce5a7e2f7b32082efdb4cfe24aef204cd81531a2

Observation 55769eac-14c3-4d8f-9a65-5b90ed403803 · inbound

The Bach Doodle: Approachable music composition with machine learning at scale cites this paper.

The Bach Doodle: Approachable music composition with machine learning at scale Deep Learning Techniques for Music Generation -- A Survey

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-24T21:19:57.036793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-24T21:19:20.315206Z digest=sha256:847dc19fedc3c95ed4f529f086ad0eb6e96cf0a95f2f172ecbb819d2634c7ce2

Observation 321e340e-a6ab-4a46-b2a6-b19ffa844313 · inbound

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction cites this paper.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Deep Learning Techniques for Music Generation -- A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T15:31:40.921093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:31:40.921093Z digest=sha256:448d1c7a76dabb29767cdce00d9db21a1d2b17496802fc58c7ea66dc47405e14

Observation bd959b71-0e04-455b-86bf-81d322349224 · inbound

Overview of Tasks and Investigation of Subjective Evaluation Methods in Environmental Sound Synthesis and Conversion cites this paper.

Overview of Tasks and Investigation of Subjective Evaluation Methods in Environmental Sound Synthesis and Conversion Deep Learning Techniques for Music Generation -- A Survey

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T10:56:05.992095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:56:05.992095Z digest=sha256:d8dc1f24a4606b21fc66555e7ed5ada6c1c291b83c86c6aa27a3ce8b4450acfc

Observation 3378e29b-e4c5-49e9-a60e-dc35804cfd4c · inbound

The Wiki Music dataset: A tool for computational analysis of popular music cites this paper.

The Wiki Music dataset: A tool for computational analysis of popular music Deep Learning Techniques for Music Generation -- A Survey

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T10:52:26.079215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:52:26.079215Z digest=sha256:d04e3e07c3bde3db6f98a633ea7949969d3197edbdf8d16f9c28595cccef624d

Observation 1280ca23-5de8-41e7-9c7d-0a0fdd97bf2f · inbound

On Parallelism in Music and Language: A Perspective from Symbol Emergence Systems based on Probabilistic Generative Models cites this paper.

On Parallelism in Music and Language: A Perspective from Symbol Emergence Systems based on Probabilistic Generative Models Deep Learning Techniques for Music Generation -- A Survey

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T14:05:06.339195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:05:06.339195Z digest=sha256:8f42a3d4cb2839666ed47ae22c925de5b61bbbcd96896d4610eda345a7a4f1ee

Observation cc9544c0-1f72-4c41-a204-ed43c26c49be · inbound

Apollo: An Interactive Environment for Generating Symbolic Musical Phrases using Corpus-based Style Imitation cites this paper.

Apollo: An Interactive Environment for Generating Symbolic Musical Phrases using Corpus-based Style Imitation Deep Learning Techniques for Music Generation -- A Survey

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T12:01:41.339438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:01:41.339438Z digest=sha256:d5780c73558f74054967ebc82139be38570d2d41349c09d13399b8a65c7da523

Observation b58f7ccc-1dc9-4ae7-aa56-ee9705b5794d · 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 Deep Learning Techniques for Music Generation -- A Survey

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T11:59:11.137400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:59:11.137400Z digest=sha256:c036885b7a59c6946e7539152b7fdae59b998024784305c8f28bbd27cb1f590f

Observation c6e7d2f7-3e74-4251-a566-02a37e43f82f · inbound

Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling cites this paper.

Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling Deep Learning Techniques for Music Generation -- A Survey

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T11:37:44.244833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:37:44.244833Z digest=sha256:f6399379fa1435d17c2594dbc5cd55265e89ea8e13cd0f078dc5f1fd6063cccc

Observation 4708c301-b512-447b-a4c1-d0a5d871b8d8 · inbound

CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation cites this paper.

CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation Deep Learning Techniques for Music Generation -- A Survey

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-05T15:44:06.402825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:44:06.402825Z digest=sha256:53881f3e1658c5c0f3d04930618065c1cde0581275afdbd967a6bca5d5bf5385

Observation 3ebab6dd-a58c-41ee-8773-034d80976665 · inbound

Mathematical Foundations of Polyphonic Music Generation via Structural Inductive Bias cites this paper.

Mathematical Foundations of Polyphonic Music Generation via Structural Inductive Bias Deep Learning Techniques for Music Generation -- A Survey

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T17:18:09.608511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T17:15:49.588729Z digest=sha256:e580ea7b06841c1759de59adcd77a9f77ec1e49678291bea63b3f8e42a18c7b7

Observation 0d708556-ca7b-4bc0-83b3-56e47befa2ec · inbound

Quantum-Inspired Harmonic Decision Models: A Computational Framework for Music Generation cites this paper.

Quantum-Inspired Harmonic Decision Models: A Computational Framework for Music Generation Deep Learning Techniques for Music Generation -- A Survey

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-11T10:12:35.910892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T10:12:35.910892Z digest=sha256:04424dae522a8fd53cb3b40bf0e14637da4cea298c00cdcc544a84e9b3de387a

Observation 5367614e-2450-418f-a216-2aeca297d85e · inbound

Designing Maintainable Hybrid Generative Systems: A Quantum-Inspired Approach to Automated Music Harmony Generation cites this paper.

Designing Maintainable Hybrid Generative Systems: A Quantum-Inspired Approach to Automated Music Harmony Generation Deep Learning Techniques for Music Generation -- A Survey

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T10:54:49.051877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-08T10:46:29.772260Z digest=sha256:ff98a02f34872d830c9523060d77c7f581ff76588968b300d836bb956ca23f50