Paper Citation Record · LEDGER

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction

As of 16 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:1908.00948.

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

pith.paper-citation-record.v1
1908.00948 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:31:41.039314Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:31:40.865418Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T15:31:41.162462Z

Reference resolution

29 of 29 outbound references displayed

verified exact2
verified fuzzy21
unresolved5
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 703efb8b-cea6-4718-a634-270f9ef552cd · outbound

This paper cites an unresolved cited work.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:31:41.656931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fcc838b2-2c8f-44b2-9ea7-b839f6fa7b62 · outbound

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

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:31:41.169950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1f5aba0c-7abf-4755-83e3-1e629b283e5b · outbound

This paper cites one-shot.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction one-shot

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.638019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 371ef9a1-ad4f-497a-9822-08a5f002bb95 · outbound

This paper cites transfer function.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction transfer function

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.617480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e7fb2a09-42ce-41cd-9c0b-ddc52d7c10b4 · outbound

This paper cites an unresolved cited work.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:31:41.596063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6890fcfb-1d3d-461a-b9a9-f4f8f88b0808 · outbound

This paper cites an unresolved cited work.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-14T15:31:41.576994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 20c374b6-0d47-4b0f-8423-c18dd3dd04d0 · outbound

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

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction A hierarchical latent vector model for learn- ing long-term structure in music,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.557287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1879623a-22ab-4262-b248-5c9fb2165002 · outbound

This paper cites Learning a Latent Space of Multitrack Measures.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Learning a Latent Space of Multitrack Measures

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-14T15:31:41.142009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6b76225b-8873-4123-849c-9409d955962d · outbound

This paper cites Gradient-based learning of higher- order image features,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Gradient-based learning of higher- order image features,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.538323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

This paper cites Deep Learning Techniques for Music Generation -- A Survey.

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.

Observation 6a424df5-c51b-4441-ac04-1b68ac5d31a1 · outbound

This paper cites Conditional neural sequence learn- ers for generating drums’ rhythms,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Conditional neural sequence learn- ers for generating drums’ rhythms,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.520040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a361a54c-b2f5-4c19-9a14-c7f0f8f422af · outbound

This paper cites Combining LSTM and feed for- ward neural networks for conditional rhythm composi- tion,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Combining LSTM and feed for- ward neural networks for conditional rhythm composi- tion,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.502712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 45e8215b-1d15-4fb8-8f0a-e3a6c60c7d44 · outbound

This paper cites An intelligent drum machine for electronic dance music production and perfor- mance,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction An intelligent drum machine for electronic dance music production and perfor- mance,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.484288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f8d7af75-d5df-4ae3-a84f-f2605034415c · outbound

This paper cites Musegan: Multi-track sequential generative adversar- ial networks for symbolic music generation and accom- paniment,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Musegan: Multi-track sequential generative adversar- ial networks for symbolic music generation and accom- paniment,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.464236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a492825d-d9e5-41cc-b4f6-c08dc207b612 · outbound

This paper cites DeepBach: A steerable model for bach chorales generation,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction DeepBach: A steerable model for bach chorales generation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.443959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5d77748c-bf5a-4e93-8667-cc465a355abe · outbound

This paper cites Deepj: Style- speciﬁc music generation,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Deepj: Style- speciﬁc music generation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.425993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a0f7f563-7333-4fd2-aa7a-e257e44c31f8 · outbound

This paper cites Anticipation-rnn: enforc- ing unary constraints in sequence generation, with ap- plication to interactive music generation,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Anticipation-rnn: enforc- ing unary constraints in sequence generation, with ap- plication to interactive music generation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.409032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d8558e97-9380-4344-a74a-ec5b3de9227c · outbound

This paper cites Imposing higher-level structure in polyphonic music generation using convolutional restricted Boltzmann machines and constraints,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Imposing higher-level structure in polyphonic music generation using convolutional restricted Boltzmann machines and constraints,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.393049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 93aa446b-de6e-4124-b290-055a04dc6684 · outbound

This paper cites Audio style transfer,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Audio style transfer,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.372456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 426afb82-fc33-4fd5-bfe6-054d1a83ecba · outbound

This paper cites An overlap-add tech- nique based on waveform similarity (WSOLA) for high quality time-scale modiﬁcation of speech,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction An overlap-add tech- nique based on waveform similarity (WSOLA) for high quality time-scale modiﬁcation of speech,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.223162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation aa858764-e1e4-4850-b14a-7067984de6c8 · outbound

This paper cites Lead sheet generation and ar- rangement by conditional generative adversarial net- work,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Lead sheet generation and ar- rangement by conditional generative adversarial net- work,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.330890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a02e5c8f-7b78-46a4-ac5b-1e4ee5a0d5ed · outbound

This paper cites A predictive model for music based on learned interval representations,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction A predictive model for music based on learned interval representations,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.309715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 794ee47f-f1e7-404c-a5c9-df58a16a63e5 · outbound

This paper cites Adversarial Autoencoders.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Adversarial Autoencoders

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T15:31:41.008024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f50c6d9-5050-44dd-b907-b822fb08b449 · outbound

This paper cites Self-normalizing neural networks,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Self-normalizing neural networks,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.288505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e77996f7-d8d8-49e3-891a-2d75d5c88c43 · outbound

This paper cites Learning transposition-invariant interval features from symbolic music and audio,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Learning transposition-invariant interval features from symbolic music and audio,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.265962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 31ae0738-c944-4b8e-9275-818baa627a5e · outbound

This paper cites A cluster separation measure,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction A cluster separation measure,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.242297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 26375f91-5c25-45c3-8a1c-beeae3e8c28e · outbound

This paper cites MIREX Onset Detection Task,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction MIREX Onset Detection Task,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.205861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1cb2c080-c2a8-4263-a26d-74c0ab740826 · outbound

This paper cites On multi-view feature learning,.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction On multi-view feature learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:31:41.187450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0a8c6069-6d7d-48fb-b51e-c91b10d970ca · outbound

This paper cites an unresolved cited work.

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Unresolved cited work

Reference 2018

Resolution: parse uncertain; raw_fallback, observed 2026-08-14T15:31:41.351940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

Observation fcc838b2-2c8f-44b2-9ea7-b839f6fa7b62 · inbound