Pith. sign in

Paper Citation Record · LEDGER

Scaling Self-Supervised Representation Learning for Symbolic Piano Performance

As of 8 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.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:36:16.409188Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

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

  • verified exact2
  • verified fuzzy37
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:09.585227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:09.585227Z digest=sha256:b919ba2af9066db983eba237302fce5fd35944d5aaded35e7b14b5626a01992c

Observation 4dc5a660-8211-40d2-a212-6d4ee91028d5 · outbound

This paper cites an unresolved cited work.

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

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:09.652507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:09.652507Z digest=sha256:1c269547680b9d671a8e40f0cf934075bd8200a75d98ab583ce05c8e6e6b8654

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:09.742627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:09.742627Z digest=sha256:520e3920f6e850cc9a1f32532086befe99e7c25eb163ed4e836b056d95355adb

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:18.070837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:09.846596Z digest=sha256:35fb20d3aa8480c8cebac6923c8e55b6baec830e6a522389ef427116b7dfb2ac

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.952425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:10.178699Z digest=sha256:8894c6a43a0e484005e137bbf373c43f30207f21bbe585b16b27cfb574d0635a

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

This paper cites an unresolved cited work.

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

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:36:18.025835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:09.995675Z digest=sha256:1ce7042d6829ba3f4ac0ea0eddfd8f77f67ef475e7240bbbbd593f7efe475536

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.862719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:10.644476Z digest=sha256:735a8ef60a3c21eae768ce2907c711e55e00201453204b5eca25c93d79d45a84

Observation 52a77f92-4275-438b-82b4-047977cbb27f · outbound

This paper cites an unresolved cited work.

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

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:36:17.975970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:10.135862Z digest=sha256:2eea61f4b0818275ec01df350e1d60aa10d2aca61971924eb8190f8f6d34f48a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:10.732162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:10.732162Z digest=sha256:1b6abcab0ef1919799db631acedf45938a94e7e88192b0127829d9a2ef6b2415

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.923726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:10.225460Z digest=sha256:0d45b30af0538e4e9ba66f8bd2b54dc0b4630da7600550b3d20230e44784571f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.903322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:10.281618Z digest=sha256:6884c95d9dc5d8a7e03fc8317ea251add77cdbfac2b8f8b82de4eadc2f9b0d9d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:10.326516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:10.326516Z digest=sha256:4434031765bca164872080155cabeee4b75ccd0daf4af9d823cdfe0d3815c7e4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:10.382481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:10.382481Z digest=sha256:48c96e3b30dfc3b045f459d10769f849bb038413c721a10c1024d61f8c5124b4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:10.446740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:10.446740Z digest=sha256:4c5086d75905746113851ab862b45af0ff2d79aa61d6852991822c9a44dff272

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:10.506023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:10.506023Z digest=sha256:b315ff9b7f12fdfcc98f85d8b7231195e83d7f5ecbf7a8a92a96b7eb997379b5

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.880899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:10.570710Z digest=sha256:3f2fb6a388b186c8a8ca8fe1d40e1881ae72e0b4f02406c0040a3bff502f9c7c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.745843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:11.147831Z digest=sha256:92fd96cadad05588aeccfbc4644e2dca0121d90373087bf0c2f73cb77dbd69e7

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:10.687725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:10.687725Z digest=sha256:fc0c9f2a61e09f84570d2f8ac0b2e23bc7b5797afacc9d552bfd84523cbdd71c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:11.289042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:11.289042Z digest=sha256:14129b7108963f109b997ab59de6503ec6b5bee6959ed44d6f3c01347ef5fc44

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.830411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:10.785067Z digest=sha256:fa82039cf5759401ea4a53769d12c30030e79e8316dd9addda7ad2220fe03b33

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.803985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:10.826366Z digest=sha256:7e2aebcc5fd091094775ff9559a04f49b61fc1b771ba030f0a0d0e2802267c6e

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:10.880679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:10.880679Z digest=sha256:ca3d3d502d8ca77ce474ceec5da1fca3d2162dbb13fb427c705af64d03cff5e3

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.781865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:10.934401Z digest=sha256:5ec5eacfffddfc7c456b57bcf5361e43cc312ed0dc0dcb57aaf5037a5317f0a5

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:11.003485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:11.003485Z digest=sha256:3d45cac0ed791d7304b6e3331b23ef10ad7aa20ee74fe440bb404c92bf1c465c

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.762425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:11.032057Z digest=sha256:a33c033a768740baad74b1d523794a0dbc7cee4c8945aeb7cc661fe1f65371ca

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:11.094999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:11.094999Z digest=sha256:22b791b1067086e310eb6510194bf598688f54c854bea041c7a0f4e724d67d14

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.649987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:11.950407Z digest=sha256:7cc167201c7cf1ca384cb0f8f833d47c972922d33c7a25aa09e6a84c999c190f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:11.213704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:11.213704Z digest=sha256:8e6f2b7d2e0ccfe569540b8f84e41ba3ed616834388190b75e06ed501994f22d

Observation b89a9610-3c65-4510-84d9-7fac7a810d46 · outbound

This paper cites Anticipatory Music Transformer.

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

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:12.450819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:12.450819Z digest=sha256:b04397c7e71d3ccb6658afa1bbbae6532d111d60e36b8126d872ce930a5ad3c3

Observation 7f004397-6d41-4b6b-a2a4-18d41e44e236 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.722820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:11.355636Z digest=sha256:d38f68387f0c6e5b3a27a549251b62c78384aa7bc61b2a509f99dabc832257cd

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.706655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:11.409118Z digest=sha256:07f82c81e8e6a169f75e3e7b72864fd105b542979f35d3e9787f3bd62e0607ba

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:18.046970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:09.911917Z digest=sha256:264313662c8c5a5daeb60110efad7c6ccdf3689c1cd066b88cfade51355bbd8d

Observation 7d2b3a28-62b8-48aa-add5-06edb51f308d · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.683518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:11.488755Z digest=sha256:a3a4e118a41f8f7030c826a329d58245a06b9c328ed5b5e0f050dfe2ded50bb4

Observation 5f856e34-4184-42a9-92f5-004aac965b7c · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:11.562834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:11.562834Z digest=sha256:871185681292aa07a221b406b83bef4390bcc1aa4fa4e685c80c07a089658cb2

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:11.613262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:11.613262Z digest=sha256:84d1c726e4675ab1e35f593513badc6c25bd9b9062b07041df91bb37f99b9ed3

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:11.676395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:11.676395Z digest=sha256:827d01ad9650bb11c15ab4de95cac8529d2cc0137bd149d5869a459a9257776b

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:11.772025Z digest=sha256:0beb5537d74bb3fb92069a1f684064d1cd0ceb8548bbdd3ac54759dbfd86affe

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:12.104783Z digest=sha256:fdd38797dbd42376592d676f29dfbcdc41bbf75308639fdfb3fee802620026a7

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:13.703842Z digest=sha256:85a9d527cde4f3d50108fe857bd07447818e2953a28e7825e2ba2decbbb3540a

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.457679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:13.837106Z digest=sha256:c13483aaa6bd8a3647390950e904f3099dcc630ad3c2c8a38bd7265d7ff2937b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.593250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:12.601524Z digest=sha256:942bf4ee9e94826e2830bdd1df12301ed317c7bbbe0f40a594d01504ae408287

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:12.767344Z digest=sha256:34b50e6a004e638967dac60a9b188520cdfcc9a0c9ef42fde7e8a491b754b675

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:12.881022Z digest=sha256:634c9e8e841473c5a9e068698d3fc6626dbf459ecadae3fdd7b11bb77b5b8cde

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:13.039676Z digest=sha256:f895325f9fadbec2dbc242ea99a3e16861c21c923b33bab584da0fc09f3f2940

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:13.147654Z digest=sha256:a89de0ae8b5d37425ad458cb16615e75d3f4d16bb59f3caedb3993889be25175

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:13.236841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:13.236841Z digest=sha256:f6a3839ca0758d3747aab1410aa1661ec66db87feb684bce50108f8974bc2d7c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:13.358905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:13.358905Z digest=sha256:37b8da5bb39604a0b1ed957c15632de67e522e02a0654631a2a0da6d46234458

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:13.511229Z digest=sha256:0b0e632841f200151d602260381c190542077ea4f6cce902f7cdf57f2526dcb1

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

This paper cites Musenet,.

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

Reference 49

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:13.608668Z digest=sha256:5b64b464e6a46e0c44e70a42802af25c32a00b9c41d28569caa069bf2b47ae97

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:14.705607Z digest=sha256:dda2b6e5797c6038d70194cf8c94d69e07285fa223b45a7a73cee82d13fa2684

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:14.755357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:14.755357Z digest=sha256:d9640a22b95cb0000539cbe4009af60544b64de74c74c930d96a6998b746856e

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:13.945899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:13.945899Z digest=sha256:3ca2f723b95a142a2bf709651a29cbedc0e3dc1bb4445d33e0b590e57d40e840

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:14.047219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:14.047219Z digest=sha256:9404c17300598635b7495e46fdcdf558fe2970972bcd9dbebd211360d727ea85

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:14.155739Z digest=sha256:4ffe18c909c3d8fcbd7e0abcafacc6c35ec4ddcdd9dc08b3c4e787b3a238e0f2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:14.273433Z digest=sha256:8ac9f12b9263dfc558ed8b0811953c3a41810ce56c98c325ab318cd7be1c7ea7

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:14.340784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:14.340784Z digest=sha256:2a84547a68357686f792c291f1822d9a994c18b84417a21c56939dac567623f4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:14.446726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:14.446726Z digest=sha256:f45bd19af34474dac58793cedd4e9a13ac2846b44586ebb4e0c0e00066c8c0d1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:14.507472Z digest=sha256:5ccb22760291da9f61ef880da2b47b9c65b0ebbb484a5744616bd31fc963b995

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:14.573883Z digest=sha256:fcef432ed63da8685786c42ac4d16c5dc11aafa387d133271da3c4ca2bb65854

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:14.645247Z digest=sha256:b6a40fd0c338bc959f5976f74c2dfcb09d86e0058292f35e39dc7705a2602f1e

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

Resolution
verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:15.606096Z digest=sha256:1e19a8aa375bb9effd7badc9421671d3f8f046ec0207e359fcfd0aa44c8f7049

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:15.724165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:15.724165Z digest=sha256:171ff1cbf196c7c07ba61b56fadb313989cd5767fdb7d8561c79b224816b75b9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:14.817089Z digest=sha256:59bf76e9b49ebb607223c74d705074c0e29c5c2b200413683fb5ea5b6b71ac74

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:14.868726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:14.868726Z digest=sha256:c7fb6835781b545ab1a289432a5e42b0176f3d47f3b9b270e82a32e2ef5b25a2

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:14.950415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:14.950415Z digest=sha256:7bf67c1ea8c2efcca658f3da5f9299561d620e8e6786cbf406e7e4d3559489a6

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:15.006331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:15.006331Z digest=sha256:1a4e0a85a5ebf3a48f85af43824c48ae2c0e7cdd2eaa92cfc02da841c833ae08

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:15.039300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:15.039300Z digest=sha256:181a6b11cb8cf7a0f07d864b5710d0f8448b5b0d2eaf02f16ba98f310aa6bbb5

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:15.146754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:15.146754Z digest=sha256:001c45b174105839a5b32febe196ff4ef8949585390f465991431318fab9308f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:15.271504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:15.271504Z digest=sha256:074cb4b777c716363dda56626b0aa3f6b6dd4b570b61d19a30b5fefb280e9cb7

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:15.385705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:15.385705Z digest=sha256:56a621c06ebedfc7b2b78fdb7919c266bfbb660393719ae57fdada90929524f8

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:15.494829Z digest=sha256:b500bfef145222fa198a1fb0634f64395d91e38df5cb64e8bac7a661e0c88eaa

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:15.875215Z digest=sha256:839088e229cfeaa5acdd268a25713be90761d759f148d15762156385ae561694

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:16.049273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:16.049273Z digest=sha256:8abd8f24d98bb492dfe24cfc5f01ce9f3d86358068896ec9fa714f47969000a4

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:16.170040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:16.170040Z digest=sha256:3fb8ea9004d51a887cb9efd7d89ed09b376f00928a79db13e56f9968c9e239cc

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:16.292351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:16.292351Z digest=sha256:4ee4dc2a626d7c40b7f7661f7ec2a9012a9ac6ddc78458d3497d891e6a4ecda6

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

This paper cites Pianoteq,.

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

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.248226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:16.378584Z digest=sha256:19f95fe2d1d66ff03715302263e445eb1bb4a391ff4fdee7ba1b504f63358648

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:16.394050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:16.394050Z digest=sha256:0853504cb08fd742fc69b4c269367f8d238e2088895c88d0b7e0a64f0926606e

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

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:36:16.484234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:16.398622Z digest=sha256:f39a9a40a5dafe24baffee4caf220833ee2912b527106d0037385e1bbd15cf5b

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:16.403568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:16.403568Z digest=sha256:9dc46fafbeab81e6993c5c1e8006b87677c4664772d9d75cb5a49e12f251f478

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:16.409188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:16.409188Z digest=sha256:cf5266be0c6c1fca7287f8f233992b728d9f7d3ea81844a977cc242e2d73db5d

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

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:36:17.998302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:10.074623Z digest=sha256:52b2a87d27d61dc58e8de36158699e20210327fda648df53fe91d5563585ebbc

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:36:17.612509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:36:12.257270Z digest=sha256:cc8b0f33dd3813920470e4f5827d072d3e598ec72ebe09aec388cf76185254e7

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

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:09.585227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:09.585227Z digest=sha256:b919ba2af9066db983eba237302fce5fd35944d5aaded35e7b14b5626a01992c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:47.096114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:56:47.096114Z digest=sha256:cf8f55b5211d8cbba8cec2d5a213198f8dbda069c316904aa06e12f0a5bca890

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:53:56.992250Z digest=sha256:38c296adeeaabb1a486baf8a2359d1129264c51da8c838fd54a1b2c2ff636497

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

Resolution
verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T01:18:04.842423Z digest=sha256:feec98273d935b9d693dde4b01e42c560dada3a10c526238d5ac3e9e2e35eaca