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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T18:14:31.305397Z digest=sha256:979c235ad6fe9bcc0e6a9849af0bd86dddc27082e2a67a9fa72f627e95d46207

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

source=pdf_text observed=2026-05-25T12:19:33.131149Z digest=sha256:eb1d42561519a0477eae8ce045d6f84b2d3c6bccb2eb6fb2cd03853606b0c064

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=sha256:36479126d4bfcaac9eb14c2d5643ce45ddf99315fc10888669a724cd8542243b

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=sha256:410263f64e378599b9a890bfe38731476169c835fbe5962824e6c60dcdf1c6aa

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:a0e66b979043305eaa04aef7bfb9abe94ca69b8385509db899b6830f12364b16

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=sha256:408a24dc4171260dc59144d26402645fcf1eb1ff2060058a04d61db2f49d6959

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

source=pdf_text observed=2026-05-21T01:44:20.282896Z digest=sha256:9a748bb17d6e225b140c696d72d6b06bb7d620ff2b112800774cf8a8d9058878

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

source=arxiv_source observed=2026-06-27T05:28:39.977098Z digest=sha256:bda86b0d63b59228eb35033823887fa464bfe3c1ee3115d7f5abf1a60aef65d7