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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2507.12175.

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

pith.paper-citation-record.v1
2507.12175 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:56:47.195173Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

  • verified exact1
  • verified fuzzy32
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b793deeb-f7e7-4e64-a0ad-df7c26acb757 · outbound

This paper cites Music performance analysis: A survey,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Music performance analysis: A survey,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T16:56:49.233482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cd6b1ffe-a185-4d2b-80d4-eb3680d1f251 · outbound

This paper cites How does the teacher rate? observations from the neuropiano dataset,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection How does the teacher rate? observations from the neuropiano dataset,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T16:56:49.114577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:46.992211Z digest=sha256:1d5e84ef23f9dea659722116da3f2a5fdd4a895e42d2c6f5d4b4f511e7ec5498

Observation ff8a5aa5-3b76-4970-851c-376712b71b23 · outbound

This paper cites Performance error detection and post-processing for fast and accurate symbolic music alignment.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Performance error detection and post-processing for fast and accurate symbolic music alignment

Reference 3

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:46.997381Z digest=sha256:d33c9a60c38fc553c5a2b28e2766b0dd6d34de651f7acd71ed3db397ed6656d4

Observation e63011d4-dade-4f02-853f-11087fa2dee0 · outbound

This paper cites Score-informed transcription for automatic piano tutoring,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Score-informed transcription for automatic piano tutoring,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:48.830680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.002680Z digest=sha256:1c1f96db48b5387da359a5de74ee3a1125a756952d67de8c2addb66cf696b12f

Observation c0b1b75b-2da5-441b-bf04-c93d3b086faf · outbound

This paper cites M ¨uller, Fundamentals of music processing: Audio, analysis, algo- rithms, applications.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection M ¨uller, Fundamentals of music processing: Audio, analysis, algo- rithms, applications

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:48.728525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.007888Z digest=sha256:1a94d9e7c6272774b9973a91e1b8e159aad3445daf536a29eb81cc7e0f34ebd8

Observation 80089dc4-a1df-4d5b-b09f-936d731d16f3 · outbound

This paper cites Cross-modal music retrieval and applications: An overview of key methodologies,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Cross-modal music retrieval and applications: An overview of key methodologies,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:48.599743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.012950Z digest=sha256:3bd82fcdde5b3b42af12b1992682ae15af3a325de07f586c0b5b78175b4c7267

Observation 9669c568-f9ac-4511-9a4b-27b06831c152 · outbound

This paper cites Structure-aware audio-to-score alignment using progressively dilated convolutional neural networks,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Structure-aware audio-to-score alignment using progressively dilated convolutional neural networks,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:48.490554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.018288Z digest=sha256:7c79bc45716f517e705250ada6b6bd0cc3b70b8ece05e8cc5f59ecea5c85664f

Observation fd1f485a-bb05-4217-afd2-474cbd37fe97 · outbound

This paper cites Exact indexing of dynamic time warping,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Exact indexing of dynamic time warping,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:48.345122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.024173Z digest=sha256:fddcfc1938118205f879ab47ba3c998b733d2c952cbbc8c3de81b2800f39d60c

Observation 0fd26c94-85c1-4cf5-ae3a-5498ca3f10a6 · outbound

This paper cites Audio-to-score alignment using deep automatic music transcription,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Audio-to-score alignment using deep automatic music transcription,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:48.214317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.030271Z digest=sha256:6dfb59e5f0a3fb5a76de45c79375e025e1515fc2d3499b546c39863e16cbc610

Observation a26d57be-6f97-44e3-a265-a42721269969 · outbound

This paper cites Automatic note-level score- to-performance alignments in the asap dataset,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Automatic note-level score- to-performance alignments in the asap dataset,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:48.075893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.035798Z digest=sha256:046c3064244b8ceaef2b4b93987f186cf40f47dac54dad6778faa5f2fbcacf03

Observation 1acd8171-36f5-46b6-a89c-77fe242ba8fc · outbound

This paper cites Handling repeats and jumps in score-performance synchronization.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Handling repeats and jumps in score-performance synchronization

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.943285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.042242Z digest=sha256:45ce6e16381d484c5426c98adab37e30739bc2b0227ddb4240bc1044cb9df7e7

Observation b2189936-ccb9-4e16-8d7d-75117ba42cb3 · outbound

This paper cites Improved handling of repeats and jumps in audio-sheet image synchronization,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Improved handling of repeats and jumps in audio-sheet image synchronization,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.820225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.047931Z digest=sha256:8667de1c980a0b5250da7a314afb694c2f2a737abc1d13040de4eacf8a2dd399

Observation 309b46db-ed52-45bb-ac76-6f1178274061 · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:47.055149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:56:47.055149Z digest=sha256:ac1f7ef009edf83f4dc01f8750f1df0070bb6bcd11c5bb1c6f839d6160a21370

Observation c852cbd3-5b13-444f-b388-6858624aeecf · outbound

This paper cites Thegluenote: Learned representations for robust and flexible note alignment,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Thegluenote: Learned representations for robust and flexible note alignment,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.720376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.060778Z digest=sha256:f8cf84e6425ca237b6c7dface7fc5d69dddaa75736e80cd695ffdf82c2c93c80

Observation 478fa1c3-8489-475b-9f67-34bb93caa27e · outbound

This paper cites Detecting music performance errors with transformers,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Detecting music performance errors with transformers,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.691632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.065575Z digest=sha256:70d43cd6454ff27b577206e0345c3e459cd05e46235d1d553688491051c6ec87

Observation 9c7f9a3b-1a5d-44a5-9f0b-fe05efe58edb · outbound

This paper cites Identifying missing and extra notes in piano recordings using score-informed dictionary learning,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Identifying missing and extra notes in piano recordings using score-informed dictionary learning,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.666949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.071377Z digest=sha256:25204fe8433b6128a8b5175fd27e8e8690c00871e4bed65f26ad7176b72e0d42

Observation c6aa07cc-805b-4463-935d-c487259a9629 · outbound

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

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Compound word transformer: Learning to compose full-song music over dynamic directed hypergraphs,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.641084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.076040Z digest=sha256:6466a8cb4b9baacf76e6f88c98f97eecdf687b34b084ac271048d995658bbaa9

Observation c038bb4e-1116-4b84-86bc-2567c136fc13 · outbound

This paper cites Mt3: Multi-task multitrack music transcription,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Mt3: Multi-task multitrack music transcription,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.617745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.081459Z digest=sha256:25936f56ffdf4ae12b490ffe78ec1dd28b42d5a3f260b40c69b2597f9e6a0756

Observation ba394f14-bfba-454a-a2a8-44f3c8983f3b · outbound

This paper cites ImprovNet -- Generating Controllable Musical Improvisations with Iterative Corruption Refinement.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection ImprovNet -- Generating Controllable Musical Improvisations with Iterative Corruption Refinement

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:47.086068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:56:47.086068Z digest=sha256:9b3d49bed9f73c80fe8d066bae61f85f560f3c580c6c4a5eed51d6d52cf8454e

Observation d830d5d6-bd71-4546-89d1-cd5f2707e363 · outbound

This paper cites Pertok: Expressive encoding and modeling of symbolic musical ideas and variations,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Pertok: Expressive encoding and modeling of symbolic musical ideas and variations,

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.596912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.091571Z digest=sha256:ed9745c91a7575a7d6cea13cf7d833b1b0ce05374fa0bda6b2377bf2a1b1e0b2

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

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

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=sha256:0028ae9b3d50f9a6e4339a5fdda3a106f02e30775c4426258b99e743549a6f76

Observation 6eda210d-55c2-4f9b-a376-f09284441280 · outbound

This paper cites Yourmt3+: Multi- instrument music transcription with enhanced transformer architectures and cross-dataset stem augmentation,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Yourmt3+: Multi- instrument music transcription with enhanced transformer architectures and cross-dataset stem augmentation,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.572993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.100949Z digest=sha256:c6533f78cd4f9a634df662f87b21a53289d28098efae757ebb58fe44216da8cd

Observation ac08d74d-dc23-4e6d-9e3d-391d5d5fcd79 · outbound

This paper cites Musicxml 4.0,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Musicxml 4.0,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.555536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.105451Z digest=sha256:dbbb33608bb63afaefc87c5ea89570bfe784fa1a8bd120fef9ae76a2dea42284

Observation ff533672-fae5-4262-801e-d68b61a27f94 · outbound

This paper cites A statistical analysis of the abc music notation corpus: Exploring duplication,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection A statistical analysis of the abc music notation corpus: Exploring duplication,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.538736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.109807Z digest=sha256:b125b80592fc68283a54652216805aaa2d2ee77d15dd5738816a881dbe1f13ca

Observation f4ae67ea-0cf5-40c8-be78-28b960fa01b6 · outbound

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

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:47.115122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:56:47.115122Z digest=sha256:6996d16bc38aef3ab63a1cec1367b161c1117e9d634251ce7791e371f820901b

Observation de43b365-d251-49e6-af6a-2c9896c1a6df · outbound

This paper cites Music2latent: Consistency autoencoders for latent audio compression,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Music2latent: Consistency autoencoders for latent audio compression,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.523506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.120933Z digest=sha256:d911773cb3d385b59657fa355a921b7b41dd541cf522bb7777894fe7e6d9b907

Observation 0951bdf8-201d-4f3c-a147-e012c1ae7d93 · outbound

This paper cites TorchScale: Transformers at Scale.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection TorchScale: Transformers at Scale

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:47.125644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:56:47.125644Z digest=sha256:d8811e0251880e6bd1ec8104830aecc76f6c788b86ae71a7cbf2f79ab5ce1504

Observation b588ff92-ed6d-4480-af63-fcabec6d405a · outbound

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

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 28

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raw_fallback, observed 2026-08-06T16:56:47.508837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.130702Z digest=sha256:514cb553d13bf7d4323cd158808a0145c603b89c0fd2bc7a7f39d8d4fce52aa9

Observation 0a271391-4b7e-4300-9ad5-6649d9be95b0 · outbound

This paper cites Longnet: Scaling transformers to 1,000,000,000 tokens,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Longnet: Scaling transformers to 1,000,000,000 tokens,

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.494774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.135364Z digest=sha256:e30b5648d0bb554327f49113aeb00e275068c9558633655ce91cde345d362821

Observation 303e9301-ebd1-4949-a157-de73c2df5394 · outbound

This paper cites Enabling factorized piano music modeling and generation with the MAESTRO dataset,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Enabling factorized piano music modeling and generation with the MAESTRO dataset,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.480478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.139966Z digest=sha256:2b923623d768bbd6a0c7ba16d7c268a34d0bda83426fd245bd7f7f859192978e

Observation 1beb14a2-1ddc-4c39-95b4-224a25394189 · outbound

This paper cites Simulating piano performance mistakes for music learning,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Simulating piano performance mistakes for music learning,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.465822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.144953Z digest=sha256:62b0942edd028db2da9c9235aaf65f19ebfcac20bfd33a46ce379e36951e6a90

Observation 8966ab40-8909-4022-8acd-2d180194eaaf · outbound

This paper cites MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:47.155746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:56:47.155746Z digest=sha256:82757b7a0a71d2b080bca5eb6e7cd625403a44f0427c5b0deaad7ec3323b2b7f

Observation a36d0b6d-29ad-4719-b428-df9d0a9c4fba · outbound

This paper cites Vienna 4x22 Piano Corpus, Rematched,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Vienna 4x22 Piano Corpus, Rematched,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.450235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.160989Z digest=sha256:220d75c2c2ecfb04534f398f8bb29322c5ecfaaa9e0a80857d083b8ec89d2ebe

Observation b962b939-04a9-45b1-8d88-d38e38adb4eb · outbound

This paper cites Nanot5: Fast & simple pre-training and fine-tuning of t5 models with limited resources,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Nanot5: Fast & simple pre-training and fine-tuning of t5 models with limited resources,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.434066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.165935Z digest=sha256:e5ecbc645b3539246ef173417a893a8dc01243ef02d3e1b5982bfceba776121f

Observation 6e76062d-c8f2-43d6-a82c-ea62d812f02a · outbound

This paper cites Mir eval: A transparent implementation of common mir metrics.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Mir eval: A transparent implementation of common mir metrics

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.417139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.171244Z digest=sha256:e8fb92768c8744ae4755caafbfb70ec0e8f35b3b45bcbe05d272cc79fadc2d2d

Observation 86601f08-7366-4adf-a602-8f459072e4e3 · outbound

This paper cites Score-informed identification of missing and extra notes in piano recordings,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Score-informed identification of missing and extra notes in piano recordings,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.402437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.176553Z digest=sha256:c43f25c74e91641c6be46406ed4b6316e5d648b82c11893abec3cfcdad4e56f1

Observation 756dec5e-4f46-42a3-9585-7c4910c8ed72 · outbound

This paper cites Automatic piano transcription with hierarchical frequency-time transformer,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Automatic piano transcription with hierarchical frequency-time transformer,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.386893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.181186Z digest=sha256:b04863b357c3274e6b78ea699733e81e11e0a3fa191eedf9446636b6bde8356f

Observation 340fae00-4bec-4c9b-97e3-3f9c60e21d17 · outbound

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

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Scoring Time Intervals using Non-Hierarchical Transformer For Automatic Piano Transcription

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:56:47.257777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.186132Z digest=sha256:0ece2edc8159e4c8d60df82403a0eb4e4b81a8d2f7e9df778b0522635a29d771

Observation 0304f04d-8dcb-450b-ba9b-e635fe258ae5 · outbound

This paper cites The magaloff project: An interim report,.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection The magaloff project: An interim report,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:47.370026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:56:47.190938Z digest=sha256:14e4e0f80894ca506c6177c87ae7feaf3a1a35abfb37ff393605f46a1b61755a

Observation 73fa8b7d-b78a-4a23-bea3-a17da28a8017 · outbound

This paper cites Neural Turing Machines.

RUMAA: Repeat-Aware Unified Music Audio Analysis for Score-Performance Alignment, Transcription, and Mistake Detection Neural Turing Machines

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:47.195173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:56:47.195173Z digest=sha256:3af3f20ec6b6ff0e0c03b8bc5f6c5538b02b3f9f4d435a4048976012303d3d93

Pith citing papers

No inbound Pith citation observations are available.