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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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:40.871911Z digest=sha256:c063a241a21f02638108431d106e30a88c443ee98932cb4e6231b5a4b1e437e4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:40.880901Z digest=sha256:8de74d0d6b0597c46ceda32239908ea09e80a5a20739957beda50dde37e04683

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:40.895306Z digest=sha256:b5cf7fedf713c3f5e7a66fb9c85874745a9564e514673b35f1a09fe1fffbc5c4

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:40.901052Z digest=sha256:509de820d6ed895bd4e18883608ca84b2f21af421f23636d5f75edb3ecebcf1e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:40.906554Z digest=sha256:42f460ea1ccb13280b053d0adae0aa34aeee539300b73161177a4d7ce46a59a0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:40.913830Z digest=sha256:92979bd0b60f99ba55bbf3ea765fada6bb853951a085f20c433fa70399dda4c4

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.

source=pdf_text observed=2026-08-14T15:31:40.921093Z digest=sha256:bdd389fff1748afa31ff7f4d2165aa4c0f9a423ecbf1f04969b884770e41df20

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:40.927744Z digest=sha256:ed2c521e8c387032c7700297af90019183d4225cfd128527ff062ac72a68616a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:40.933898Z digest=sha256:e8f09dbe6e3b9f69f26d1ae3a92aa3a9dc4e64e542a70982ba3c92115cc96a41

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:40.944372Z digest=sha256:7e1d509e2ae9081fa84dc037520cc7fc84f2607d7913c59b4530931b1c592d1c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:40.952398Z digest=sha256:d7d3e1cfe4bd0e7390f6a433f61d85b86d7b5599119bd696b9f84e02d0a7ebea

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:40.959929Z digest=sha256:96de41befa5fd5f6fc50cc6d557c3756745c22d9b1fce5d7383472eb17c46364

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:40.985743Z digest=sha256:53dc5f775f5ce3beb93b1d141cbb17c87623792bd8e9ec392fddbd152cde23d5

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

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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.

source=pdf_text observed=2026-08-14T15:31:41.008024Z digest=sha256:6484ad3f9018095b89a2b79675d7ec3dd715dc004d0d3a48532e32b9b4a05762

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:41.013917Z digest=sha256:c48592e44d0d6f527e45530c129e66f3db8458167deeacbc52980e9b25196b40

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:41.019003Z digest=sha256:13e6b204782e26db5123debfb90977ec8b1afbf1ca53070f6cf43b51e53d55a2

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:41.033811Z digest=sha256:f07f46da640c81aa61e216abb13e8af94897ba09061df369c1f5bac1ea188062

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:41.039314Z digest=sha256:47d5a8031bec6fa5f2ebd788721a850cf288d1ccf83e0cb11e9654baf674300e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:40.991943Z digest=sha256:b51140c7edfe3389b3649cfb1837e7aabee5c86bbadc312c7960318fa53f4f7b

Pith citing papers

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

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

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:31:40.865418Z digest=sha256:0f2e3a3031687708a7bd8a06fe6ccf2e1d749816cbfcd6eb98927c7b73118196