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Paper Citation Record · LEDGER

MuScriptor: An Open Model for Multi-Instrument Music Transcription

As of 17 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2607.08168.

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

pith.paper-citation-record.v1
2607.08168 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:27:04.468269Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:27:00.964148Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T12:07:03.533393Z

Reference resolution

44 of 44 outbound references displayed

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Outbound references

Observation 5b4f0703-0445-4ed6-adef-9dd4f258494d · outbound

This paper cites MuScriptor: An Open Model for Multi-Instrument Music Transcription.

MuScriptor: An Open Model for Multi-Instrument Music Transcription MuScriptor: An Open Model for Multi-Instrument Music Transcription

Reference 1

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Observation 58f6ba09-92d6-48ad-b9c6-008758b5fb32 · outbound

This paper cites To train it, we gather a dataset of 170k recordings (11k hours) with aligned note annotations that covers most musical genres, alongside a synthetic dataset of 1.45M MIDIs.

MuScriptor: An Open Model for Multi-Instrument Music Transcription To train it, we gather a dataset of 170k recordings (11k hours) with aligned note annotations that covers most musical genres, alongside a synthetic dataset of 1.45M MIDIs

Reference 2

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Observation 61712ae2-8cf5-41c3-b17b-80d7e4b0964b · outbound

This paper cites an unresolved cited work.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Unresolved cited work

Reference 3

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Observation 738349e0-825e-496b-a58a-a96c3433bdcb · outbound

This paper cites MuScriptor: An Open Model for Multi-Instrument Music Transcription.

MuScriptor: An Open Model for Multi-Instrument Music Transcription MuScriptor: An Open Model for Multi-Instrument Music Transcription

Reference 4

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Observation 3c1c57e9-9b9e-46e7-9782-ff0e1e51a8f6 · outbound

This paper cites an unresolved cited work.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Unresolved cited work

Reference 5

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Observation 42715b5b-18f8-44eb-9c9c-c2e7af541106 · outbound

This paper cites an unresolved cited work.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Unresolved cited work

Reference 6

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Observation a66bcaf8-1b8b-447b-acea-ee3c4aa0d5b3 · outbound

This paper cites Extend- ing this framework, we investigate training on both large- scale synthetic and real music audio datasets (Section 3.1).

MuScriptor: An Open Model for Multi-Instrument Music Transcription Extend- ing this framework, we investigate training on both large- scale synthetic and real music audio datasets (Section 3.1)

Reference 7

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Observation ff645b00-14ef-4042-823e-d7cd43228479 · outbound

This paper cites Unless stated otherwise, all results are for the 1.3B parameters model with instrument conditioning.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Unless stated otherwise, all results are for the 1.3B parameters model with instrument conditioning

Reference 8

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Observation 241bbb4a-d2cb-4de0-8f27-6ce3e77a5609 · outbound

This paper cites To train MuScriptor, we collected synthetic and real music audio datasets with aligned note annota- tions, and used a reinforcement learning approach for post- training refinement.

MuScriptor: An Open Model for Multi-Instrument Music Transcription To train MuScriptor, we collected synthetic and real music audio datasets with aligned note annota- tions, and used a reinforcement learning approach for post- training refinement

Reference 9

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Observation a6785721-bc84-4a6a-bec7-19060f8bf081 · outbound

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

MuScriptor: An Open Model for Multi-Instrument Music Transcription Enabling factorized piano music modeling and generation with the MAESTRO dataset,

Reference 10

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Observation 417c1d12-cbf8-4a11-aeb3-12ce961465b1 · outbound

This paper cites GuitarSet: A dataset for guitar transcription,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription GuitarSet: A dataset for guitar transcription,

Reference 11

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Observation e079a942-3306-44ed-91a5-a3fc615ab8e2 · outbound

This paper cites Deep unsupervised drum transcription,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Deep unsupervised drum transcription,

Reference 12

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Observation c0cb44c6-8b8a-4dfc-b412-184005930e81 · outbound

This paper cites In- creasing drum transcription vocabulary us- ing data synthesis,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription In- creasing drum transcription vocabulary us- ing data synthesis,

Reference 13

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Observation 24c5e09e-b4a3-433f-b58d-4552c2432102 · outbound

This paper cites MT3: multi-task multitrack music transcription,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription MT3: multi-task multitrack music transcription,

Reference 14

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Observation 9b2fc83c-7416-4636-b85b-67cb740af814 · outbound

This paper cites Automatic transcription of piano music,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Automatic transcription of piano music,

Reference 15

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Observation 60934ba4-72c8-4451-8b30-4f5ed5b2b81d · outbound

This paper cites Non-negative matrix factorization for polyphonic music transcription,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Non-negative matrix factorization for polyphonic music transcription,

Reference 16

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Observation cf58adb1-60f6-41c8-8b7b-f5769b2adb6d · outbound

This paper cites A discriminative model for polyphonic piano transcription,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription A discriminative model for polyphonic piano transcription,

Reference 17

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Observation 9b6b6a57-7449-4c0f-affa-8b5a78a8597d · outbound

This paper cites Polyphonic piano note transcription with recurrent neural networks,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Polyphonic piano note transcription with recurrent neural networks,

Reference 18

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Observation 0b9dffa6-2817-46c5-97a8-46967789cb17 · outbound

This paper cites An end- to-end neural network for polyphonic piano music transcription,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription An end- to-end neural network for polyphonic piano music transcription,

Reference 19

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Observation 23870655-d830-432b-9d18-8b9d3b0c3a2c · outbound

This paper cites Sync toolbox: A python package for efficient, robust, and accurate music synchronization,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Sync toolbox: A python package for efficient, robust, and accurate music synchronization,

Reference 20

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Observation 32c76631-34f5-4c0d-9213-38e3ab228003 · outbound

This paper cites Onsets and frames: Dual-objective piano transcription,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Onsets and frames: Dual-objective piano transcription,

Reference 21

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Observation befd81e0-d6af-4ab5-a079-9d5b7d54ac4c · outbound

This paper cites Sequence-to-sequence piano transcrip- tion with transformers,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Sequence-to-sequence piano transcrip- tion with transformers,

Reference 22

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Observation 57dd9e38-af69-41dd-93bc-f79ad4216514 · outbound

This paper cites YourMT3+: multi-instrument mu- sic transcription with enhanced transformer ar- chitectures and cross-dataset stem augmentation,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription YourMT3+: multi-instrument mu- sic transcription with enhanced transformer ar- chitectures and cross-dataset stem augmentation,

Reference 23

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Observation d77813b4-90b5-4a66-8d75-daecf75cf9ff · outbound

This paper cites Advancing multi-instrument music tran- scription: Results from the 2025 AMT challenge,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Advancing multi-instrument music tran- scription: Results from the 2025 AMT challenge,

Reference 24

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Observation 0d68515f-011e-4bdc-8889-9f5c843af088 · outbound

This paper cites A foundation model for music informatics,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription A foundation model for music informatics,

Reference 25

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Observation d1f05862-7ebd-45e6-a0ba-3ef51675598f · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

MuScriptor: An Open Model for Multi-Instrument Music Transcription DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 26

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Observation 05dadb8d-b59c-4f7b-91a5-577f1ba4e1df · outbound

This paper cites Unaligned supervi- sion for automatic music transcription in the wild,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Unaligned supervi- sion for automatic music transcription in the wild,

Reference 27

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Observation 4faff6a0-4d39-41ae-afc4-5418c4f9dedb · outbound

This paper cites To- wards realistic synthetic data for automatic drum transcription,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription To- wards realistic synthetic data for automatic drum transcription,

Reference 28

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Observation 76d66218-9a26-44a5-b671-3acfc22b586f · outbound

This paper cites Learn from virtual guitar: A comparative analysis of automatic guitar transcription using synthetic and real audio,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Learn from virtual guitar: A comparative analysis of automatic guitar transcription using synthetic and real audio,

Reference 29

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Observation 41c53378-22c8-4614-8cac-b3fb959588cb · outbound

This paper cites Learning-based methods for com- paring sequences, with applications to Audio-to- MIDI alignment and matching,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Learning-based methods for com- paring sequences, with applications to Audio-to- MIDI alignment and matching,

Reference 30

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Observation 30df0557-ff4a-455c-b5a8-1ba33d681f21 · outbound

This paper cites High fidelity neural audio compression,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription High fidelity neural audio compression,

Reference 31

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Observation c6361cdc-52cd-4de8-b0e9-1b94cfe1651a · outbound

This paper cites Using activation functions for improving measure- level audio synchronization,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Using activation functions for improving measure- level audio synchronization,

Reference 32

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Observation bc96746b-2744-4f4d-8bd3-30ce4e535966 · outbound

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

MuScriptor: An Open Model for Multi-Instrument Music Transcription Simple and control- lable music generation,

Reference 34

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Observation 7495cc71-24ef-4242-840e-2f3680df06c2 · outbound

This paper cites Classifier-Free Diffusion Guidance.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Classifier-Free Diffusion Guidance

Reference 35

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Observation 4550f4e7-bd3f-4d6e-a1b7-cd3ca55178d7 · outbound

This paper cites mir_eval: A transparent implementation of common MIR metrics,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription mir_eval: A transparent implementation of common MIR metrics,

Reference 36

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Observation 288af8e8-a527-492b-a9b6-9bc78cb487d9 · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist reinforcement learning,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Simple statistical gradient-following algorithms for connectionist reinforcement learning,

Reference 37

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Observation 9fb2fc96-3cc6-4567-8564-daf7c6b7c55d · outbound

This paper cites Multi- ple fundamental frequency estimation by mod- eling spectral peaks and non-peak regions,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Multi- ple fundamental frequency estimation by mod- eling spectral peaks and non-peak regions,

Reference 39

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Observation 517c4d54-4452-41b8-b944-1c6900c6df31 · outbound

This paper cites Dagstuhl ChoirSet: A multitrack dataset for MIR research on choral singing,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Dagstuhl ChoirSet: A multitrack dataset for MIR research on choral singing,

Reference 40

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Observation a8f2a9c7-fa4e-47e8-9902-40f8762b0408 · outbound

This paper cites Score-informed source separation for multichannel orchestral recordings,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Score-informed source separation for multichannel orchestral recordings,

Reference 41

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source=pdf_text observed=2026-08-04T04:27:04.108158Z digest=sha256:52c9ac12994a0cb50bea79739eed8b657ddeb97945fd04617c1999d73a730a0b

Observation b8018552-1ce5-4e0b-9823-076a3b8a7019 · outbound

This paper cites RWC revisited: Towards a community-driven MIR corpus,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription RWC revisited: Towards a community-driven MIR corpus,

Reference 42

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source=pdf_text observed=2026-08-04T04:27:04.235014Z digest=sha256:23fc3a1808a9e894ce242fa5d7d6fd8a63436b7cd6d6b5dfec9916aa3473a1e7

Observation 561c0d0d-c69a-4ded-afa9-f21a8229acd9 · outbound

This paper cites MERT: acoustic music understanding model with large-scale self-supervised training,.

MuScriptor: An Open Model for Multi-Instrument Music Transcription MERT: acoustic music understanding model with large-scale self-supervised training,

Reference 44

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source=pdf_text observed=2026-08-04T04:27:04.468269Z digest=sha256:2bca7c1e3c8fe5cb3b1d55164167650d103725c542d247cb82aa2013cddb6e30

Observation 98746333-f807-4c82-8ed4-8828ec514fb5 · outbound

This paper cites Available: https://archives.ismir.net/ ismir2022/paper/000090.pdf.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Available: https://archives.ismir.net/ ismir2022/paper/000090.pdf

Reference 756

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source=pdf_text observed=2026-08-04T04:27:03.436742Z digest=sha256:ff3cf20204892bb6b68401cb8e5fb3d4d74c0e80c69f444d35553d3f987ec4a7

Observation 750e4ff9-6ea5-4c08-9bb4-60aec910ec24 · outbound

This paper cites Available: https://doi.org/10.1109/ ICASSP48485.2024.10448314.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Available: https://doi.org/10.1109/ ICASSP48485.2024.10448314

Reference 1230

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source=pdf_text observed=2026-08-04T04:27:02.921163Z digest=sha256:bcdd41c6f79e7ca71779a8e39c6f1c046d4d5d63a2b55376863e4d3717cedf2d

Observation c8ce63f9-9b2f-4394-8abc-ac4d4b66c9cd · outbound

This paper cites Available: https://doi.org/10.1109/ TASLP.2016.2533858.

MuScriptor: An Open Model for Multi-Instrument Music Transcription Available: https://doi.org/10.1109/ TASLP.2016.2533858

Reference 2016

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Pith citing papers

Observation 4dd1d743-91e9-4a06-a22f-162d039f1bec · inbound

MuScriptor: An Open Model for Multi-Instrument Music Transcription cites this paper.

MuScriptor: An Open Model for Multi-Instrument Music Transcription MuScriptor: An Open Model for Multi-Instrument Music Transcription

Reference 5

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source=pdf_text observed=2026-07-10T11:59:41.497214Z digest=sha256:20368464a6eefa94c47d74b360a74e349c40ed5794ce550e8877f183b54dbdf3

Observation 738349e0-825e-496b-a58a-a96c3433bdcb · inbound

MuScriptor: An Open Model for Multi-Instrument Music Transcription cites this paper.

MuScriptor: An Open Model for Multi-Instrument Music Transcription MuScriptor: An Open Model for Multi-Instrument Music Transcription

Reference 4

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