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Paper Citation Record · LEDGER

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance

As of 18 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 4 inbound Pith citation observations for arXiv:2506.23869.

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

pith.paper-citation-record.v1
2506.23869 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

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measured 86 of 86 standing notices

One-hop event checks from named stored sources.

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measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:36:09.585227Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:41:03.359858Z

Reference resolution

82 of 82 outbound references displayed

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External citation measurements

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Outbound references

Observation 7414864d-7b6e-42c3-a724-85150d12e7b6 · outbound

This paper cites Scaling Self-Supervised Representation Learning for Symbolic Piano Performance.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Scaling Self-Supervised Representation Learning for Symbolic Piano Performance

Reference 1

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Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Unresolved cited work

Reference 2

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Observation dffad3b7-890a-4a21-9be9-eeb2d6c67fdd · outbound

This paper cites Critically, we show that this contrastive ap- proach is effective only when applied as a secondary finetuning phase.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Critically, we show that this contrastive ap- proach is effective only when applied as a secondary finetuning phase

Reference 3

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Observation 458a8988-cd4a-45ba-bdb5-88824456634f · outbound

This paper cites In this section, we focus on related work specific to the subfield of symbolic music modeling.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance In this section, we focus on related work specific to the subfield of symbolic music modeling

Reference 4

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Observation 1caaf117-d139-4121-944c-f4a5d25a199a · outbound

This paper cites Our ex- periments show that this pretraining framework effectively adapts to generative modeling, MIDI-embedding genera- tion, and supervised MIR tasks.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Our ex- periments show that this pretraining framework effectively adapts to generative modeling, MIDI-embedding genera- tion, and supervised MIR tasks

Reference 5

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Observation 8e26973f-1b94-49ce-8838-000aad441795 · outbound

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Reference 6

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Observation 1e32c94a-7535-4e95-9be2-8210f6e6fc15 · outbound

This paper cites (2006) IMSLP/Petrucci music library.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance (2006) IMSLP/Petrucci music library

Reference 7

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Reference 8

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Observation 45330b19-2dbd-4ab0-a198-77fbbc3de005 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance LLaMA: Open and Efficient Foundation Language Models

Reference 9

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Observation ddce8eb6-7a42-40c4-8891-21212c7aeb3c · outbound

This paper cites Additional support was provided by EleutherAI and StabilityAI, as well as a compute grant from the Ministry of Science and ICT of Korea and Gwangju Metropolitan City.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Additional support was provided by EleutherAI and StabilityAI, as well as a compute grant from the Ministry of Science and ICT of Korea and Gwangju Metropolitan City

Reference 10

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Observation b653d3f1-5935-4af1-822f-9197e32cef2f · outbound

This paper cites A survey on self-supervised learning: Algo- rithms, applications, and future trends,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance A survey on self-supervised learning: Algo- rithms, applications, and future trends,

Reference 11

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Observation f44ef40f-4052-473c-993c-ec05c35a4017 · outbound

This paper cites NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms

Reference 12

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Observation d6daa5a8-3ab7-401f-aa17-876bb31da27f · outbound

This paper cites MuPT: A Generative Symbolic Music Pretrained Transformer.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance MuPT: A Generative Symbolic Music Pretrained Transformer

Reference 13

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Observation 2ec4481a-59f4-4341-84ae-d340ad9736e2 · outbound

This paper cites MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training

Reference 14

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Observation 1ba867fd-b79a-4b63-83ac-d5d0db1592f3 · outbound

This paper cites CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval

Reference 15

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Observation 8aa00c73-d172-4c89-95ed-7dc59e9d73f4 · outbound

This paper cites Learning-based methods for comparing se- quences, with applications to audio-to-midi alignment and matching,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Learning-based methods for comparing se- quences, with applications to audio-to-midi alignment and matching,

Reference 16

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Observation 0d3222ef-4ee6-40e8-9bd2-190d0ff2fae0 · outbound

This paper cites Simple and control- lable music generation,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Simple and control- lable music generation,

Reference 17

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Observation ee030c03-3831-44e7-959c-61080470258e · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Learning transferable visual models from natural language supervision,

Reference 18

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Observation ca1dcac3-5898-4a56-8ae9-a51f4ae5a008 · outbound

This paper cites HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

Reference 19

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Observation 5e40d5d3-7dd1-437f-b73f-7aedc08c0ce6 · outbound

This paper cites Lima: Less is more for alignment,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Lima: Less is more for alignment,

Reference 20

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Observation 24c4b046-487c-40cb-b587-2fe01b558410 · outbound

This paper cites Big transfer (bit): General visual representation learning,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Big transfer (bit): General visual representation learning,

Reference 21

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Observation 62f42dd3-c0c1-4d0c-9e21-5dd102e3b288 · outbound

This paper cites AudioGen: Textually Guided Audio Generation.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance AudioGen: Textually Guided Audio Generation

Reference 22

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Observation 7595e9c7-94ca-4dae-bc73-11f9b8444449 · outbound

This paper cites Audiolm: A language mod- eling approach to audio generation,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Audiolm: A language mod- eling approach to audio generation,

Reference 23

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Observation 87a60cae-c985-4560-9159-70ef497c09d2 · outbound

This paper cites High Fidelity Neural Audio Compression.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance High Fidelity Neural Audio Compression

Reference 24

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Observation 78d63a9f-3830-4997-80c4-44f6b12bfce9 · outbound

This paper cites Soundstream: An end-to-end neu- ral audio codec,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Soundstream: An end-to-end neu- ral audio codec,

Reference 25

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Observation 96bcdcd7-80a4-4a09-b17b-e1edf176b1ea · outbound

This paper cites MusicLM: Generating Music From Text.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance MusicLM: Generating Music From Text

Reference 26

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Observation b6bf5bc8-4d91-45fb-a10d-889e603dac41 · outbound

This paper cites Pijama: Piano jazz with automatic midi annotations,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Pijama: Piano jazz with automatic midi annotations,

Reference 27

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Observation 3c98019a-3e37-4006-9c37-234a473243e3 · outbound

This paper cites SoundStorm: Efficient Parallel Audio Generation.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance SoundStorm: Efficient Parallel Audio Generation

Reference 28

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This paper cites Anticipatory Music Transformer.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Anticipatory Music Transformer

Reference 29

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This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance wav2vec 2.0: A framework for self-supervised learning of speech representations,

Reference 30

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Observation 68c4881c-5ef5-4b5f-af8e-617eb8cd1509 · outbound

This paper cites Auto- matic music transcription: An overview,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Auto- matic music transcription: An overview,

Reference 31

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Observation 3b2e7515-ab85-4177-b5c4-bdf8c04e0f5a · outbound

This paper cites The autoregressive paradigm for symbolic music generation, which models music as a stream of tokens, gained traction by adapting architectures from natural language processing [33].

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance The autoregressive paradigm for symbolic music generation, which models music as a stream of tokens, gained traction by adapting architectures from natural language processing [33]

Reference 32

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This paper cites High- resolution piano transcription with pedals by regressing onset and offset times,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance High- resolution piano transcription with pedals by regressing onset and offset times,

Reference 33

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This paper cites Automatic Piano Transcription with Hierarchical Frequency-Time Transformer.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Automatic Piano Transcription with Hierarchical Frequency-Time Transformer

Reference 34

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source=pdf_text observed=2026-08-06T21:36:11.562834Z digest=sha256:97d7ea55770c46f41dc5606084f808491cf4f577f35877bcdb115a7e6f522523

Observation da342b6a-ae42-43f4-a07f-f5655a478348 · outbound

This paper cites Scoring Time Intervals using Non-Hierarchical Transformer For Automatic Piano Transcription.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Scoring Time Intervals using Non-Hierarchical Transformer For Automatic Piano Transcription

Reference 35

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:11.613262Z digest=sha256:662b69355aaedf2809c117139e624f2c42b94b172f9235de9906791ac1d5251c

Observation 191fce4c-9776-4a66-a577-23459a827b9b · outbound

This paper cites GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music

Reference 36

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source=pdf_text observed=2026-08-06T21:36:11.676395Z digest=sha256:4d2f782213a214db6c435a83e88d9b2a71fd77c91a0a87d0331729a1621fbf37

Observation 8a6ebb19-e6bd-45b4-9a47-18a91af049d8 · outbound

This paper cites Atepp: A dataset of automatically transcribed expres- sive piano performance,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Atepp: A dataset of automatically transcribed expres- sive piano performance,

Reference 37

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raw_fallback, observed 2026-08-06T21:36:17.666815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:11.772025Z digest=sha256:0b9e89d1f4b909a1a04c51833b72e9b71a43ad99b3af64e6752eef66fb4e515c

Observation f1c2a187-d3fe-4e43-9559-7684bdfe725f · outbound

This paper cites Aria-midi: A dataset of piano midi files for symbolic music modeling,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Aria-midi: A dataset of piano midi files for symbolic music modeling,

Reference 38

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raw_fallback, observed 2026-08-06T21:36:17.632048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:12.104783Z digest=sha256:a4e97bb662563a21cffe5ad3e2c14fcb2da5e816c02c4da2b98b9f556a6c9209

Observation 98b62046-ddb8-4ca8-abae-dacef19b325a · outbound

This paper cites Pop music transformer: Beat-based modeling and generation of expressive pop piano compositions,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Pop music transformer: Beat-based modeling and generation of expressive pop piano compositions,

Reference 39

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raw_fallback, observed 2026-08-06T21:36:17.477261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:13.703842Z digest=sha256:c672308cc6d137d02afa0007dab5ab3ed56fd3bf79ce4de58c17acad80737804

Observation d1c67a60-6461-4d75-863f-753aae9b8ede · outbound

This paper cites Museformer: Transformer with fine-and coarse-grained attention for music generation,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Museformer: Transformer with fine-and coarse-grained attention for music generation,

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:13.837106Z digest=sha256:740088cbf29c4696a99c6df4d9e6bf0c27bc73414ced42a21447e7ef90fa7689

Observation bd336438-fdb2-43ef-aa08-bea9ee0904d4 · outbound

This paper cites Suno AI v3.5,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Suno AI v3.5,

Reference 41

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:12.601524Z digest=sha256:55ad8a290d4094867581950697d9e576c48bab7481d403b7a9da2186ef98aa50

Observation e6c7bf88-ab4e-4007-bb3f-9320c283bcf1 · outbound

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

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Deepbach: A steerable model for bach chorales generation,

Reference 42

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raw_fallback, observed 2026-08-06T21:36:17.575931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:12.767344Z digest=sha256:550f2323948d024a9b14fc5458582f22c325506cb0f9eacb06ef17d01f8d07f4

Observation 80c34434-9665-42d2-8c9b-8e6d619cc3c9 · outbound

This paper cites Counterpoint by Convolution.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Counterpoint by Convolution

Reference 43

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verified exact
local_arxiv, observed 2026-08-06T21:36:16.865196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:12.881022Z digest=sha256:5e2c0e2eaa9c1b03ac94120c5f17f6d0f04800c00be3d206a544a891559914ba

Observation be5ea3de-aa6d-4570-8ff0-2f502b68ce82 · outbound

This paper cites Automatic stylistic composition of bach chorales with deep lstm,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Automatic stylistic composition of bach chorales with deep lstm,

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.559217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:13.039676Z digest=sha256:77a7ec84ef62da7aca12ebce44ef5832f4ba862510e8a251abaeb6bad13a2e45

Observation 8db2c2a3-1ba0-4da1-af50-4f480f2ecc9b · outbound

This paper cites This time with feeling: Learning expressive musical performance,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance This time with feeling: Learning expressive musical performance,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.542067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:13.147654Z digest=sha256:52027467626646460f5f9dd362582f8733230f30c83a5003ce87a2a1c851e3b2

Observation 09e3312a-f3b5-4a37-be69-d2d77d7957c6 · outbound

This paper cites Music Transformer.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Music Transformer

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:13.236841Z digest=sha256:de0c9edceb31b8a9effecda86d58842656d80c94e6bba7ba58781040494238bd

Observation aa7046d1-bc79-46fa-8c03-23fb7db9258b · outbound

This paper cites Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset

Reference 47

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source=pdf_text observed=2026-08-06T21:36:13.358905Z digest=sha256:a858daf6384e6143bff10f54cbf20f180c9281ea3ea72213b5b8974d32dfcad3

Observation 49fa01b2-09db-4ef9-82d3-14861dd66547 · outbound

This paper cites Generating piano music with transformer,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Generating piano music with transformer,

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.519734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:13.511229Z digest=sha256:b46da070ab0275e88954de62cb94c9fe62a0ab6e23ca0ca89d5c275a377a82c8

Observation 0e6699c8-0cf8-49b4-bcbd-5530276aad93 · outbound

This paper cites Musenet,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Musenet,

Reference 49

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.495959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:13.608668Z digest=sha256:65181e15aaca4ebf22f4993830b8c581dd821b77c34a1da335001be192f14e64

Observation e6043afa-28b5-4a29-8730-45c2e5e82866 · outbound

This paper cites MIDI specification,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance MIDI specification,

Reference 50

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.350027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:14.705607Z digest=sha256:49e00e76624e967011de7fa9865a506cb582c7bded1473c67d77dfc285ba54d0

Observation 51fa43d6-c57f-4a78-9ebc-c9df0277aa13 · outbound

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

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Sequence-to-Sequence Piano Transcription with Transformers

Reference 51

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T21:36:14.755357Z digest=sha256:8dd52b87a30a7ea0b31e27cd2c3cf35650456b3fc5331b0398f5fab37a6986e8

Observation 7e52ab80-47bb-47db-90a8-982eb5a055a6 · outbound

This paper cites FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

Reference 52

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source=pdf_text observed=2026-08-06T21:36:13.945899Z digest=sha256:3c7f5e99efce9f4b7823387606dcc1c9f1441fecef29bb426dd877ef9f2ca633

Observation 72c394b2-664a-4058-b5c4-cbeb2ce7920e · outbound

This paper cites MuseCoco: Generating Symbolic Music from Text.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance MuseCoco: Generating Symbolic Music from Text

Reference 53

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:14.047219Z digest=sha256:690aa558d2130a60b5cae5b0dcce526be80ada713a060bac4a5cc189eb79a2ed

Observation 8e380494-d17a-427b-a96a-62709cc56a94 · outbound

This paper cites Abc notation,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Abc notation,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.440090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:14.155739Z digest=sha256:9742ca705459dcd91afa62f80457f7020d28295579b03f6e8b77bb1112e4272b

Observation b0430762-e89a-4eaf-a5a9-328a11afd62d · outbound

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

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance A hierarchical latent vector model for learning long-term structure in music,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.419974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:14.273433Z digest=sha256:b787b5c6665c3904b6538f6416448c71a6118966681029018f2b91d893d6254b

Observation 8f397e76-b023-472b-92c4-405633a415a9 · outbound

This paper cites CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models

Reference 56

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source=pdf_text observed=2026-08-06T21:36:14.340784Z digest=sha256:b6c9ff9eb36f15411820900b64b312e5150484d53215972f61843ae8cb2ad7c6

Observation 21e18040-db83-4d05-b5f8-a73b704d1720 · outbound

This paper cites CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance CLaMP 3: Universal Music Information Retrieval Across Unaligned Modalities and Unseen Languages

Reference 57

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source=pdf_text observed=2026-08-06T21:36:14.446726Z digest=sha256:27dbae6fe51ceac1935c1748d2c233e399b1f81ef7cf3cbb4c170f17400d30a5

Observation 8ca3f7ca-a0c0-4498-a3b7-3e3f210e0fd9 · outbound

This paper cites Joint beat and downbeat tracking with recurrent neural networks.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Joint beat and downbeat tracking with recurrent neural networks

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.398416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:14.507472Z digest=sha256:fc51e7029d4a2749506216e5b3db44ba26dba99c15b67efc783f066dc5e59d37

Observation 69ef4dd5-220f-4dd4-89d2-d1b1adb5dda8 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to- text transformer,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Exploring the limits of transfer learning with a unified text-to- text transformer,

Reference 59

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raw_fallback, observed 2026-08-06T21:36:17.382102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:14.573883Z digest=sha256:13a85119d43c8337a4781c074daa6f07a2e71c6e421f7384a622296449ce789d

Observation c826df1d-60ca-47d0-8cd7-6908d9c70988 · outbound

This paper cites MusicXML: An internet-friendly format for sheet music,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance MusicXML: An internet-friendly format for sheet music,

Reference 60

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.365146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:14.645247Z digest=sha256:84f5b2c899b2b5ad1ca3547a0ca781eb6fac181da1df2f607f1d5f548f1d43f5

Observation 682dac19-74a5-4f1f-8fa0-4f29de95957a · outbound

This paper cites A simple framework for contrastive learning of visual rep- resentations,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance A simple framework for contrastive learning of visual rep- resentations,

Reference 61

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raw_fallback, observed 2026-08-06T21:36:17.281262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:15.606096Z digest=sha256:f3480d9226317d0a8f06c979fcbe795ef513a15d21ffda4a65b606e27423c23d

Observation e3cb6a48-130c-4a19-8f95-769ab7cfeac5 · outbound

This paper cites Contrastive Learning of Musical Representations.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Contrastive Learning of Musical Representations

Reference 62

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:15.724165Z digest=sha256:af8bda4ea15a3edba63a67518c64418b969a7510a884f9476a6b7c5a5b00851c

Observation 4fdea804-aca2-4a6d-ab2e-d2aa5eb6429d · outbound

This paper cites Teaching Arithmetic to Small Transformers.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Teaching Arithmetic to Small Transformers

Reference 63

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no resolver link, observed 2026-08-06T21:36:14.817089Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:14.817089Z digest=sha256:f199c184c61180d4cab480a4084e85d9555da5bc4c6532a6b45b38292599e3b4

Observation 3fa04146-cb6c-4860-b6c9-f962d1d1a8ff · outbound

This paper cites Transformers Can Do Arithmetic with the Right Embeddings.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Transformers Can Do Arithmetic with the Right Embeddings

Reference 64

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:14.868726Z digest=sha256:db2b3c5136c9bdb58e4f86483eae3cca25403dc1095c96adcfd788b034819eef

Observation ab04afa2-f7f5-4aa7-b2d6-0f0d1f7a8029 · outbound

This paper cites Compound word transformer: Learning to compose full-song music over dynamic directed hypergraphs,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Compound word transformer: Learning to compose full-song music over dynamic directed hypergraphs,

Reference 65

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:14.950415Z digest=sha256:8212d0e569c24e6dd52ea983f4813b88d7ae5d45b1bc1501bb293bfd0033b86b

Observation 218e8264-ffd3-46e6-af11-689d5685a3a5 · outbound

This paper cites The Llama 3 Herd of Models.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance The Llama 3 Herd of Models

Reference 66

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:15.006331Z digest=sha256:bddb7470bfb54abc01f67db1b58a7fbac6aa4d3ac7d4aa36c32029854adf4c5d

Observation 64711fd0-3729-416c-906a-2c5d2f925d51 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Training Compute-Optimal Large Language Models

Reference 67

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:15.039300Z digest=sha256:01d6498c20238537c230b5517a72f6c580030f8ebf12fd2f7e3a1d60c3e95ff9

Observation 35d51f36-9eb1-441d-be46-534ee5e4a050 · outbound

This paper cites Attention is all you need,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Attention is all you need,

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:15.146754Z digest=sha256:2273707e955723cc3307cbe25fdd020c8144bd4c34bf9419d8c76bb38e115a01

Observation 877e0c2a-bfb8-452f-bdf9-26b81ab37c19 · outbound

This paper cites Layer Normalization.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Layer Normalization

Reference 69

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:15.271504Z digest=sha256:8d76932a9b59de26f4e1ad83738993e60c599982630c7b140cca397eedf43113

Observation fa3b4e17-3fbc-4fe7-b691-9427f5c76d42 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 70

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:15.385705Z digest=sha256:a90db85c3fb9dd7202d1cc67a0bdec971c1a76f8bf585f15cc904c30c4f233ca

Observation 0281c2fe-88bd-4584-946e-0747d2ffb93e · outbound

This paper cites Root mean square layer normalization,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Root mean square layer normalization,

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.302023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T21:36:15.494829Z digest=sha256:d3ff430f3d45bf802c08f66a46fd6fc76baae900779a5f18fa084bac5cf9c087

Observation a08c199e-21f8-4172-87ff-11d7c6bfdf56 · outbound

This paper cites Towards proper contrastive self-supervised learning strategies for mu- sic audio representation,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Towards proper contrastive self-supervised learning strategies for mu- sic audio representation,

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.264716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e4e498b8-192c-4da1-bf4a-e0c71812611f · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 75

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Observation cedb1e69-68d1-476d-80de-dea42f136b79 · outbound

This paper cites Improving Text Embeddings with Large Language Models.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Improving Text Embeddings with Large Language Models

Reference 76

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Observation 042c3dd8-b624-4796-8de9-02b16caf19cb · outbound

This paper cites MuLan: A Joint Embedding of Music Audio and Natural Language.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance MuLan: A Joint Embedding of Music Audio and Natural Language

Reference 77

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Observation 5e2292fc-7cdb-4aff-83dc-b78db00911ab · outbound

This paper cites Pianoteq,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Pianoteq,

Reference 78

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ec3bd0a0-9d00-4923-8000-cf85af7dc4f9 · outbound

This paper cites BERT-like Pre-training for Symbolic Piano Music Classification Tasks.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance BERT-like Pre-training for Symbolic Piano Music Classification Tasks

Reference 79

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Observation 300ac7a1-da7e-4ebf-aa45-4557ed1505c7 · outbound

This paper cites Learning to Generate Music With Sentiment.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Learning to Generate Music With Sentiment

Reference 80

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 7af0fa36-0256-4ed7-9d7d-a9600c00945e · outbound

This paper cites MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

Reference 81

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Observation b2c1e7c7-2140-4082-aa16-1f4d7fd0e266 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 82

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Observation c0b004a7-8192-4ca0-a4fd-86aaa3345843 · outbound

This paper cites an unresolved cited work.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Unresolved cited work

Reference 1536

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 1129288f-fe22-4d4d-a6ab-69020b27bfb6 · outbound

This paper cites Available: https://openreview.net/ forum?id=X5hrhgndxW.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Available: https://openreview.net/ forum?id=X5hrhgndxW

Reference 2025

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

Observation 7414864d-7b6e-42c3-a724-85150d12e7b6 · inbound

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance cites this paper.

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance Scaling Self-Supervised Representation Learning for Symbolic Piano Performance

Reference 1

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Observation e5d9190e-cd68-4b06-8f4f-efe9c8795f89 · inbound

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection cites this paper.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Scaling Self-Supervised Representation Learning for Symbolic Piano Performance

Reference 21

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Observation 819b68c0-1184-4137-a8e5-780ddd4be34e · inbound

Tipiano: Cascaded Piano Hand Motion Synthesis via Fingertip Priors cites this paper.

Tipiano: Cascaded Piano Hand Motion Synthesis via Fingertip Priors Scaling Self-Supervised Representation Learning for Symbolic Piano Performance

Reference 1

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arxiv_id, observed 2026-05-10T23:45:51.916818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 8d39f305-ef24-4d87-81e0-b8192ad89c1d · inbound

BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps cites this paper.

BEAT: Tokenizing and Generating Symbolic Music by Uniform Temporal Steps Scaling Self-Supervised Representation Learning for Symbolic Piano Performance

Reference 65

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arxiv_id, observed 2026-05-11T13:41:03.365959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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