Paper Citation Record · LEDGER

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 2 inbound Pith citation observations for arXiv:2507.00466.

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

pith.paper-citation-record.v1
2507.00466 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:19:24.353833Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:19:20.051018Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:32:42.467482Z

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy29
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34db255c-df0f-4162-8de1-dbcd0a6c7fff · outbound

This paper cites Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:20.051018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39a2f368-712e-4e72-80a2-7ad0ce4e7df9 · outbound

This paper cites The model follows an encoder- decoder transformer architecture, designed to translate an input MIDI segment into the corresponding beat sequence.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture The model follows an encoder- decoder transformer architecture, designed to translate an input MIDI segment into the corresponding beat sequence

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:30.945733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 03ec2a9b-6a87-4e90-bc6c-76ebb2d2ad3d · outbound

This paper cites Firstly, we extract the notes and the beat annotations from the MIDI files using the PrettyMIDI library [17].

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Firstly, we extract the notes and the beat annotations from the MIDI files using the PrettyMIDI library [17]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:30.825691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 99e165d6-d43c-4bc4-b1e0-efd33cd2fe75 · outbound

This paper cites 3.1 Datasets For the training and evaluation of the model, datasets con- taining synchronized MIDI and beat annotations are essen- tial.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture 3.1 Datasets For the training and evaluation of the model, datasets con- taining synchronized MIDI and beat annotations are essen- tial

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:30.689287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d69f6082-c570-43f9-bcea-0e03e7f7f8a6 · outbound

This paper cites an unresolved cited work.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:19:30.573426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 47307947-a064-4a0d-9b6d-e76248df588b · outbound

This paper cites 4.1 Ablation Study In the ablation study, we show the effect of various hyperpa- rameters, encoding schemes, and data augmentation strate- gies.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture 4.1 Ablation Study In the ablation study, we show the effect of various hyperpa- rameters, encoding schemes, and data augmentation strate- gies

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:30.421216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a51370ee-2d82-452d-94a7-8a6e83caca54 · outbound

This paper cites Model Architecture 𝑓b 𝑓db T5 96.03 % 59.52 % GPT2 88.69 % 45.22 % Table 4.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Model Architecture 𝑓b 𝑓db T5 96.03 % 59.52 % GPT2 88.69 % 45.22 % Table 4

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:30.259586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5d9b9c5d-db70-4546-a5c8-0182500a00fa · outbound

This paper cites an unresolved cited work.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:19:30.149302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8fcbc6a-da1d-437e-ad80-89ae414eb7a5 · outbound

This paper cites an unresolved cited work.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:19:30.029988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f8f34be8-6067-46ee-8c18-d9ae2bfa78ce · outbound

This paper cites Auto- matic Music Transcription: An Overview,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Auto- matic Music Transcription: An Overview,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:29.861037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 606b3f71-4dc0-4ac4-a14f-4531ab01dfa9 · outbound

This paper cites Enhanced Beat Tracking with Context-Aware Neural Networks,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Enhanced Beat Tracking with Context-Aware Neural Networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:29.666267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0a989c05-626d-4497-a7da-476b43f64199 · outbound

This paper cites Joint Beat and Downbeat Tracking with Recurrent Neural Networks,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Joint Beat and Downbeat Tracking with Recurrent Neural Networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:29.501095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bcbb92f0-7832-423b-bb13-74ff602e7c5e · outbound

This paper cites Temporal Convolutional Networks for Musical Audio Beat Tracking,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Temporal Convolutional Networks for Musical Audio Beat Tracking,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:29.321408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 41220ed8-1c78-42a7-9491-779c73fd2729 · outbound

This paper cites Beat Transformer: Demixed Beat and Downbeat Tracking with Dilated Self-Attention,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Beat Transformer: Demixed Beat and Downbeat Tracking with Dilated Self-Attention,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:29.168297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7f31c969-3ad2-4d29-98dd-2caffd26345f · outbound

This paper cites Beat This! Accurate beat tracking without DBN postprocessing,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Beat This! Accurate beat tracking without DBN postprocessing,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:29.000356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0906490f-7e00-4ec9-a044-c0f53a262d8d · outbound

This paper cites From MIDI to Traditional Mu- sical Notation,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture From MIDI to Traditional Mu- sical Notation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:28.847276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 90595787-9eeb-4873-b12b-d711d371e3fc · outbound

This paper cites Temperley,Music and Probability.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Temperley,Music and Probability

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:28.710193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef651d19-bfb3-4b68-8669-dd36fc565dd9 · outbound

This paper cites Transcribing Human Piano Performances Into Music Notation,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Transcribing Human Piano Performances Into Music Notation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:28.551881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation de10f815-ce8e-41e2-ad8c-f98597ba8ca0 · outbound

This paper cites A Parse-Based Framework for Coupled Rhythm Quan- tization and Score Structuring,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture A Parse-Based Framework for Coupled Rhythm Quan- tization and Score Structuring,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:28.398326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 202ad09e-2cb4-4cac-8039-c53461304ca7 · outbound

This paper cites Non-Local Musical Statistics As Guides for Audio-To-Score Piano Transcription,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Non-Local Musical Statistics As Guides for Audio-To-Score Piano Transcription,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:28.231422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e99064ac-f5e1-45a3-b6aa-305a238e66c3 · outbound

This paper cites Per- formance MIDI-To-Score Conversion by Neural Beat Tracking,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Per- formance MIDI-To-Score Conversion by Neural Beat Tracking,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:28.085284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f62926d5-e3bf-4cf1-9f7e-b267017c5c5b · outbound

This paper cites Note-Level Auto- matic Guitar Transcription Using Attention Mechanism,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Note-Level Auto- matic Guitar Transcription Using Attention Mechanism,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:27.881183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 402a0be8-e5ca-4688-b746-72f05cbd8444 · outbound

This paper cites End-to-End Piano Performance- MIDI To Score Conversion with Transformers,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture End-to-End Piano Performance- MIDI To Score Conversion with Transformers,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:27.732440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5a1dfd0-bc4a-487e-809b-4d2490f5bb13 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:27.585628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c809bb1a-128e-46c4-bf62-0bc707b32cec · outbound

This paper cites Intuitive Analysis, Creation and Manipulation of MIDI Data with pretty_midi,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Intuitive Analysis, Creation and Manipulation of MIDI Data with pretty_midi,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:27.474807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6dd55b0d-9ba5-473c-a51b-0cb4eaeeada0 · outbound

This paper cites Sequence-to-Sequence Piano Transcription with Transformers,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Sequence-to-Sequence Piano Transcription with Transformers,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:27.163662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dda3af2b-b98f-4409-aba7-923af4e48223 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:23.334890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c14b638-7429-4ff5-a549-11a5c343d475 · outbound

This paper cites Adafactor: Adaptive Learn- ing Rates with Sublinear Memory Cost,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Adafactor: Adaptive Learn- ing Rates with Sublinear Memory Cost,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:26.803456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33ce600d-1530-4918-ba59-8df863b3f19c · outbound

This paper cites A-MAPS: Augmented MAPS Dataset with Rhythm and Key Annotations,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture A-MAPS: Augmented MAPS Dataset with Rhythm and Key Annotations,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:26.489739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4dd67a98-684d-4382-8efd-9703c4e57595 · outbound

This paper cites Multipitch Es- timation of Piano Sounds Using a New Probabilistic Spectral Smoothness Principle,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Multipitch Es- timation of Piano Sounds Using a New Probabilistic Spectral Smoothness Principle,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:26.120552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a21d2e8c-b7b2-485e-9beb-9c51b442d80c · outbound

This paper cites ASAP: A Dataset of Aligned Scores and Performances for Piano Transcription,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture ASAP: A Dataset of Aligned Scores and Performances for Piano Transcription,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:25.773124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 84ff17b3-f426-4a84-9773-8fbf1f035023 · outbound

This paper cites GuitarSet: A Dataset for Guitar Transcription,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture GuitarSet: A Dataset for Guitar Transcription,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:25.492528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b650fb42-0e63-4640-a860-f90a0bd3db6e · outbound

This paper cites The François Leduc Dataset,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture The François Leduc Dataset,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:24.026802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa517d87-86a9-4056-b093-1c5f65696c52 · outbound

This paper cites High Resolu- tion Guitar Transcription via Domain Adaptation,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture High Resolu- tion Guitar Transcription via Domain Adaptation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:25.061546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9bf840cd-e99d-4103-889f-a9989c207c91 · outbound

This paper cites MIR_EV AL: A Transparent Implementation of Common MIR Met- rics,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture MIR_EV AL: A Transparent Implementation of Common MIR Met- rics,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:19:24.701525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e70981b8-42ef-4be2-8049-d78e88009bdf · outbound

This paper cites Language models are unsupervised multitask learners,.

Beat and Downbeat Tracking in Performance MIDI Using an End-to-End Transformer Architecture Language models are unsupervised multitask learners,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:24.353833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 34db255c-df0f-4162-8de1-dbcd0a6c7fff · inbound