Pith. sign in

Paper Citation Record · LEDGER

A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1803.05428.

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

pith.paper-citation-record.v1
1803.05428 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:01:41.389139Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-27T05:30:35.675950Z

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 c0da29f7-c965-497a-af70-bc0760557c70 · inbound

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

Classical Music Prediction and Composition by means of Variational Autoencoders A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-25T18:16:07.506897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T18:14:31.305397Z digest=sha256:16c10e1f4bde622db8de820e77b974134d62aea9ee996df538ec713d5002ce1d

Observation a1b66d87-9187-470b-b821-6d482cd38153 · inbound

Mechanisms of Artistic Creativity in Deep Learning Neural Networks cites this paper.

Mechanisms of Artistic Creativity in Deep Learning Neural Networks A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-05-25T12:20:47.543973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T12:19:33.131149Z digest=sha256:74a732a028fc6ad5353ad69f4551bd627227bd4aa3bd4e8286a90f4c557119a7

Observation fe8f828f-6d23-44d0-94e7-1b70f88a664e · inbound

Translating Visual Art into Music cites this paper.

Translating Visual Art into Music A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T05:30:03.065429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:30:03.065429Z digest=sha256:9e6d1d28910c8c53911d80e0c3d6b30a2a677e16bc55bc3c3820be2452937b1a

Observation bcdaa9a9-4476-425e-aa2a-b72b7cbd4ebe · 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 A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T12:01:41.389139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:01:41.389139Z digest=sha256:4e6c36d48bf3ea63f3784d37d39727d3b8cc0c16c4f1600cc349de0a50578e13

Observation 7ab5445a-2df6-414a-88d9-147a8306277f · 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 A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T11:59:44.645367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:59:44.645367Z digest=sha256:f7fb0db36355edecda478d34dc48becf740e6ae41950b15df39233bb5b80db6f

Observation 1b1df683-5951-4204-aa87-f7cd965b98e7 · inbound

Workflow-Based Evaluation of Music Generation Systems cites this paper.

Workflow-Based Evaluation of Music Generation Systems A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:03.273753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:46:03.273753Z digest=sha256:58a45ea17fbc818cac9465b5390cb8204723a4a27eaa1759e802b8fde9ca75cb

Observation d004bc94-4650-4759-9ec7-5b7d6da71eab · 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 A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T01:44:22.718222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T01:44:20.282896Z digest=sha256:75f4e330fa72c7cc6e554943d1f38930f543f315a35f92123d298ea9c1e2008f

Observation 561db453-9a09-4d78-9604-78da5e57ce4d · inbound

Generative Modeling of Bach-Style Symbolic Music: A Comparative Study of Autoregressive, Latent-Variable, and Adversarial Approaches cites this paper.

Generative Modeling of Bach-Style Symbolic Music: A Comparative Study of Autoregressive, Latent-Variable, and Adversarial Approaches A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T05:30:35.677978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-27T05:28:39.977098Z digest=sha256:101c52a099ae2ea6fbe45a41937152a2d419edfed8a45e1e25c2d3c887d9e88a