Paper Citation Record · LEDGER

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:1908.09484.

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

pith.paper-citation-record.v1
1908.09484 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:12:55.825721Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact0
verified fuzzy22
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5153c30f-3e40-4939-a359-8e4e30520980 · outbound

This paper cites MidiNet: A convolutional generative adversarial network for symbolic-domain music generation,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques MidiNet: A convolutional generative adversarial network for symbolic-domain music generation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.338944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 74e260d1-2b81-4685-b73c-5828555817cb · outbound

This paper cites Project Magenta: Generating long-term structure in songs and stories,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Project Magenta: Generating long-term structure in songs and stories,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.322546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4f9a9238-d65c-4313-a418-dd1531755afb · outbound

This paper cites JazzGAN: Improvising with generative adver- sarial networks,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques JazzGAN: Improvising with generative adver- sarial networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.306823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f0670beb-a8fc-4abc-8403-c7dd4ce5d2ad · outbound

This paper cites Generative adversarial nets,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Generative adversarial nets,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.291196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2397cd6d-0d4d-4346-9dcf-dcd8b005b7ea · outbound

This paper cites Auto-Encoding Variational Bayes.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Auto-Encoding Variational Bayes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T11:12:55.720971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1627a0db-5fb2-45b0-a46f-0d157d8b1ee8 · outbound

This paper cites MuseGAN: Symbolic-domain music generation and accompaniment with multi-track sequential generative adversarial networks,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques MuseGAN: Symbolic-domain music generation and accompaniment with multi-track sequential generative adversarial networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.276461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6a2913a7-f215-41ad-b0a8-317902e794f2 · outbound

This paper cites A hierarchical latent vector model for learning long-term structure in music,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques A hierarchical latent vector model for learning long-term structure in music,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.260656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2258d722-5af9-45b7-9613-e706d262dd4c · outbound

This paper cites AI methods in algorithmic composition: A comprehensive survey,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques AI methods in algorithmic composition: A comprehensive survey,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.240607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6e97efc9-04ad-4f96-aa0c-47cecc945aa8 · outbound

This paper cites Song from PI: A musically plausible network for pop music generation,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Song from PI: A musically plausible network for pop music generation,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.223678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 32b366a5-1c4b-4856-81ad-9818a993884f · outbound

This paper cites Music transcription modelling and composition using deep learning.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Music transcription modelling and composition using deep learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T11:12:55.745450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8182e649-3e17-4647-97ca-5a67d4ebe6b2 · outbound

This paper cites Hadjeres, F.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Hadjeres, F

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.206746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5ad4a616-d8dc-4a6f-afa8-1b2580dc24ae · outbound

This paper cites A Survey on Transfer Learning,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques A Survey on Transfer Learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.190544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 91ad6b23-1036-4d70-8545-9235f6ea7f90 · outbound

This paper cites Learning and trans- ferring mid-level image representations using convolutional neural net- works,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Learning and trans- ferring mid-level image representations using convolutional neural net- works,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.175473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 66757a4d-582f-4037-b000-1f7798e655fb · outbound

This paper cites What makes ImageNet good for transfer learning?.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques What makes ImageNet good for transfer learning?

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T11:12:55.763938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd60d5a4-7db3-413e-b0ec-38348e5cb2dd · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T11:12:55.768765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65fec88a-cf50-41b4-a08e-36520a7e61a2 · outbound

This paper cites ASR for under-resourced languages from probabilistic transcription,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques ASR for under-resourced languages from probabilistic transcription,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.157269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 94c9bf08-7ece-40d2-b591-61ff3654b0e8 · outbound

This paper cites On the evaluation of generative models in music,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques On the evaluation of generative models in music,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.140077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a6e6597d-6216-4922-884c-900eaebe99d2 · outbound

This paper cites an unresolved cited work.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-14T11:12:56.123106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 25b1ed57-e1be-4d0e-bb56-55fa3d23297e · outbound

This paper cites Transfer learning for music classiﬁcation and regression tasks,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Transfer learning for music classiﬁcation and regression tasks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.105273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 11ee4762-b0cb-43a3-9b8b-f7b29a5467ae · outbound

This paper cites Transfer learning,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Transfer learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.088222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 97fe42fb-01e3-4e49-92a4-00479f9fdf91 · outbound

This paper cites Transfer learning in MIR: sharing learned latent representations for music audio classiﬁcation and similarity,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Transfer learning in MIR: sharing learned latent representations for music audio classiﬁcation and similarity,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.072077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8b05d219-4cf9-4cf7-8ad9-ccc77e8000b2 · outbound

This paper cites Representation learning of music using artist labels,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Representation learning of music using artist labels,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.053431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2193ba12-b2af-4e97-91df-603003a8e87b · outbound

This paper cites V ocal melody extraction with semantic segmenta- tion and audio-symbolic domain transfer learning,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques V ocal melody extraction with semantic segmenta- tion and audio-symbolic domain transfer learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.029334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4714dc3f-bd61-4f3e-99be-e7f1fe092c74 · outbound

This paper cites Learning domain-adaptive latent representations of music signals using variational autoencoders,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Learning domain-adaptive latent representations of music signals using variational autoencoders,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:56.008875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 91adbd50-fcbd-4245-a144-98c82b967c3b · outbound

This paper cites Pypianoroll: Open source Python package for handling multitrack pianoroll,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Pypianoroll: Open source Python package for handling multitrack pianoroll,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:55.987285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4cdc4a28-48c0-4f62-bca2-747dcface508 · outbound

This paper cites Lead sheet generation and arrangement via a hybrid generative model,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Lead sheet generation and arrangement via a hybrid generative model,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:55.967932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 103918cf-8656-45b4-aa39-9b1c45315e03 · outbound

This paper cites Realtime chord recognition of musical sound: A system using common Lisp,.

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques Realtime chord recognition of musical sound: A system using common Lisp,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:12:55.945595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.