Paper Citation Record · LEDGER

LSTM Based Music Generation System

As of 16 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:1908.01080.

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

pith.paper-citation-record.v1
1908.01080 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:27:56.872528Z

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 exact2
verified fuzzy15
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc75c44b-730a-4524-b9b7-d61118ebaa47 · outbound

This paper cites Fundamentals of Music & Properties of Sound – Music Theory Lesson,.

LSTM Based Music Generation System Fundamentals of Music & Properties of Sound – Music Theory Lesson,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.351423Z

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 7fd04025-9147-40bf-a831-dfe395409315 · outbound

This paper cites A simple genetic algorithm for music generation by means of algorithmic information theory,.

LSTM Based Music Generation System A simple genetic algorithm for music generation by means of algorithmic information theory,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.333925Z

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 229ea0d4-ddd7-4ec0-81b9-1d9ad0a44e5f · outbound

This paper cites A Critical Review of Recurrent Neural Networks for Sequence Learning.

LSTM Based Music Generation System A Critical Review of Recurrent Neural Networks for Sequence Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T15:27:56.742747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ade3fb9b-6776-4506-ace8-07157d92b7ab · outbound

This paper cites A Comparative Analysis of Algorithmic Music Generation on GPUs and FPGAs,.

LSTM Based Music Generation System A Comparative Analysis of Algorithmic Music Generation on GPUs and FPGAs,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.314214Z

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 ab8a4985-405f-493e-8ead-6a862173d7f8 · outbound

This paper cites An algebra for tree -based music generation,.

LSTM Based Music Generation System An algebra for tree -based music generation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.295532Z

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 31b79616-5ce5-44c3-bd63-c94c1168e7b5 · outbound

This paper cites Music generation with Markov models,.

LSTM Based Music Generation System Music generation with Markov models,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.277767Z

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 e37f01af-8664-4c4f-9ddb-9f4438ffbcd7 · outbound

This paper cites Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription.

LSTM Based Music Generation System Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T15:27:56.766544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 940d799d-d9dc-435d-962f-3646d73df835 · outbound

This paper cites Interactive Music Generation with Positional Constraints using Anticipation-RNNs.

LSTM Based Music Generation System Interactive Music Generation with Positional Constraints using Anticipation-RNNs

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:27:56.981240Z

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 e16b4f67-fc95-4519-9362-2e5800ebbcc9 · outbound

This paper cites System and method for automatic music generation using a neural network architecture,.

LSTM Based Music Generation System System and method for automatic music generation using a neural network architecture,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.261791Z

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 7e36e1c4-30ea-4ecf-87b8-f5991cb1f08b · outbound

This paper cites Artificial neural networks,.

LSTM Based Music Generation System Artificial neural networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.245686Z

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 aa422cbe-2c9f-464b-aea8-69a6f6959080 · outbound

This paper cites Generative adversarial nets,.

LSTM Based Music Generation System Generative adversarial nets,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.229073Z

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 991eaf91-7425-4d41-9e0a-00cd0a568f3a · outbound

This paper cites MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment.

LSTM Based Music Generation System MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T15:27:56.793383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f48d8dd-5ee1-4950-8bf5-a6548244d9bd · outbound

This paper cites Magenta,.

LSTM Based Music Generation System Magenta,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T15:27:56.798409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f41aed14-9aa6-4af7-a240-80a708d7358b · outbound

This paper cites Generating Music using an LSTM Network.

LSTM Based Music Generation System Generating Music using an LSTM Network

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:27:56.937956Z

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 1e224ce2-2558-49c0-8e2f-5b6934a15b49 · outbound

This paper cites Long Short -Term Memory,.

LSTM Based Music Generation System Long Short -Term Memory,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.193874Z

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 048d4bf8-e3f1-4640-b653-49abf6126818 · outbound

This paper cites Learning lon g-term dependencies with gradient descent is difficult,.

LSTM Based Music Generation System Learning lon g-term dependencies with gradient descent is difficult,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.177327Z

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 8d1918f5-5ec0-428a-9098-0961c6390d97 · outbound

This paper cites Dropout: A Simple Way to Prevent Neural Networks from Overfitting,.

LSTM Based Music Generation System Dropout: A Simple Way to Prevent Neural Networks from Overfitting,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T15:27:56.819964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 768ac3e7-5515-4989-a31e-2bc25da26ca0 · outbound

This paper cites Densely connected convolutional networks.,.

LSTM Based Music Generation System Densely connected convolutional networks.,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T15:27:56.825001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d91784d-3f40-4beb-b31d-2b6b68c0c574 · outbound

This paper cites an unresolved cited work.

LSTM Based Music Generation System Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:27:57.140601Z

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 054a1809-5c43-4c5a-b943-3bb0d39090b5 · outbound

This paper cites Rnndrop: A novel dropout for rnns in asr,.

LSTM Based Music Generation System Rnndrop: A novel dropout for rnns in asr,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T15:27:56.835100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81d31ec8-41fe-45bb-914d-3169c9a3c9b7 · outbound

This paper cites Lecture 6.5 -rmsprop: Divide the gradient by a running average of its recent magnitude,.

LSTM Based Music Generation System Lecture 6.5 -rmsprop: Divide the gradient by a running average of its recent magnitude,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-14T15:27:56.840993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e98990c-08b6-4b5a-8b94-4d13bf69c291 · outbound

This paper cites Multistability of recurrent neural networks with time-varying delays and the piecewise linear activation function.,.

LSTM Based Music Generation System Multistability of recurrent neural networks with time-varying delays and the piecewise linear activation function.,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.102657Z

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 4e3dfb67-f60a-472b-9845-c4d90d93f2fc · outbound

This paper cites Descending into ML: Traini ng and Loss,.

LSTM Based Music Generation System Descending into ML: Traini ng and Loss,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.086749Z

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 1598fdb7-1793-43fd-9a1e-8db84111e1c7 · outbound

This paper cites Music Research,.

LSTM Based Music Generation System Music Research,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.070051Z

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 1cd02a52-e749-45b0-a8a3-0a0e45a46bd6 · outbound

This paper cites Musical_Matrices,.

LSTM Based Music Generation System Musical_Matrices,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.052707Z

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 181530aa-5ea3-444d-929d-77a6ee5b7fbc · outbound

This paper cites ADADELTA: An Adaptive Learning Rate Method.

LSTM Based Music Generation System ADADELTA: An Adaptive Learning Rate Method

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T15:27:56.866536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eefed30c-a4c4-4fb0-9e63-1bf7be76bffc · outbound

This paper cites The million song dataset,.

LSTM Based Music Generation System The million song dataset,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:27:57.034995Z

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.