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Paper Citation Record · LEDGER

From Prediction to Collaboration: Interactive Symbolic Music Analysis

As of 5 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2607.13587.

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

pith.paper-citation-record.v1
2607.13587 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:46:42.967498Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:46:38.998647Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved26
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 85e7b650-66a5-40eb-988d-3f37a86a94d2 · outbound

This paper cites From Prediction to Collaboration: Interactive Symbolic Music Analysis.

From Prediction to Collaboration: Interactive Symbolic Music Analysis From Prediction to Collaboration: Interactive Symbolic Music Analysis

Reference 1

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Observation d867eff5-a1dd-4866-bc98-e4a99bab4d4c · outbound

This paper cites Early systems used recurrent and multi-task formulations [8, 9], while later attention-based models improved the han- dling of longer-range harmonic context [10].

From Prediction to Collaboration: Interactive Symbolic Music Analysis Early systems used recurrent and multi-task formulations [8, 9], while later attention-based models improved the han- dling of longer-range harmonic context [10]

Reference 2

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no resolver link, observed 2026-08-02T04:46:39.140524Z

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Observation b6c71d66-6680-4db3-86c1-0184a4f14bbb · outbound

This paper cites f: Ger6/V/i.

From Prediction to Collaboration: Interactive Symbolic Music Analysis f: Ger6/V/i

Reference 3

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Observation 4b2367dd-1909-4991-b7b5-dba5dcf15337 · outbound

This paper cites Post-hoc voter.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Post-hoc voter

Reference 4

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source=pdf_text observed=2026-08-02T04:46:39.454560Z digest=sha256:c4fd25965e1a577e33e655a65583e532a89a42028cf5c51793a111fc6b88015b

Observation 8bc01ea2-e11a-425a-ae44-398eb92f5a38 · outbound

This paper cites an unresolved cited work.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-02T04:46:39.650377Z digest=sha256:13b8cf399e32b50df64881c423ad81a9975519c7cd0c268ce4623510e2820a39

Observation 4737d4eb-06bb-4be2-8ae5-64225a48771d · outbound

This paper cites Analysts, however, do not reason about notes in isolation; they work with harmonic labels placed at change-points and scoped to beats, measures, or longer segments.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Analysts, however, do not reason about notes in isolation; they work with harmonic labels placed at change-points and scoped to beats, measures, or longer segments

Reference 6

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Unavailable: canonical work link unavailable.

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Observation cf061384-66dd-4499-81bd-c993ef83ee9f · outbound

This paper cites an unresolved cited work.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-02T04:46:40.010067Z digest=sha256:2feca08d0f4d344b4ecb09771482c012b5bcce82c250bd7649ff63ee16b53b82

Observation c92ae447-28b0-4498-bdd9-81480b520d36 · outbound

This paper cites Towards a Unified Model of Musical Form: Bridging Music The- ory, Digital Corpus Research, and Computation.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Towards a Unified Model of Musical Form: Bridging Music The- ory, Digital Corpus Research, and Computation

Reference 8

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Observation f1ba9730-d80b-4a79-9b5e-513f5a4a91b9 · outbound

This paper cites Musicbert: Symbolic music understanding with large- scale pre-training,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Musicbert: Symbolic music understanding with large- scale pre-training,

Reference 9

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Observation 05f9a5b4-53ea-4bdc-8a1b-92c755b89448 · outbound

This paper cites Rnbert: Fine-tuning a masked language model for roman numeral analysis,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Rnbert: Fine-tuning a masked language model for roman numeral analysis,

Reference 10

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Observation 161ff0b1-9666-4c06-b278-ec4d5e9b7bc9 · outbound

This paper cites Roman numeral anal- ysis with graph neural networks: Onset-wise predic- tions from note-wise features,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Roman numeral anal- ysis with graph neural networks: Onset-wise predic- tions from note-wise features,

Reference 11

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Observation 175076d5-4468-4d80-9a0b-3e9bb0b21930 · outbound

This paper cites Analysisgnn: Unified music analysis with graph neural networks,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Analysisgnn: Unified music analysis with graph neural networks,

Reference 12

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Observation 3e2ed2a3-e201-4752-a120-e2b2a5d81126 · outbound

This paper cites Dilemmadata: A symbolic dataset for music research,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Dilemmadata: A symbolic dataset for music research,

Reference 13

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Observation d2db9425-a1b3-48b4-88bc-040a8ab955c7 · outbound

This paper cites AugmentedNet: A Roman Numeral Analysis Network with Synthetic Training Examples and Additional Tonal Tasks,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis AugmentedNet: A Roman Numeral Analysis Network with Synthetic Training Examples and Additional Tonal Tasks,

Reference 14

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Observation 3d2fd332-a1d5-4c51-844a-557d49982e35 · outbound

This paper cites A corpus and a modular infrastructure for the empirical study of (an)notated music,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis A corpus and a modular infrastructure for the empirical study of (an)notated music,

Reference 15

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Observation f97c694e-5d1a-4c5f-925a-63306cac1305 · outbound

This paper cites Functional harmony recognition of symbolic music data with multi-task recurrent neural networks,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Functional harmony recognition of symbolic music data with multi-task recurrent neural networks,

Reference 16

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Observation 6105ff34-59f7-4351-bd1a-ec4f185f6b0f · outbound

This paper cites Not all roads lead to rome: Pitch representation and model archi- tecture for automatic harmonic analysis,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Not all roads lead to rome: Pitch representation and model archi- tecture for automatic harmonic analysis,

Reference 17

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Observation ac5306b3-761c-4868-910e-ab3e09b4bf2f · outbound

This paper cites Attend to chords: Improving harmonic analysis of symbolic music using transformer- based models,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Attend to chords: Improving harmonic analysis of symbolic music using transformer- based models,

Reference 18

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Observation d14f6618-21ce-4c35-b10f-d4f762851302 · outbound

This paper cites A deep learning method for enforcing coherence in automatic chord recognition,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis A deep learning method for enforcing coherence in automatic chord recognition,

Reference 19

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Observation 3b3dd696-0238-4b7e-8e30-43c556c88e59 · outbound

This paper cites The neural autoregressive distribution estimator,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis The neural autoregressive distribution estimator,

Reference 20

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Observation 55273e84-bce0-4085-b874-853285794c74 · outbound

This paper cites Interpretable music harmonic analysis through multi- linear mixture of experts,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Interpretable music harmonic analysis through multi- linear mixture of experts,

Reference 21

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Observation 6262930b-cc41-41d1-ac14-28836f78429f · outbound

This paper cites When in rome, listen to your corpus: A meta-corpus of functional harmony,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis When in rome, listen to your corpus: A meta-corpus of functional harmony,

Reference 22

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Observation 3d51ef88-7822-4c3a-bfff-b5094f2d1550 · outbound

This paper cites The Annotated Mozart Sonatas: Score, Harmony, and Cadence,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis The Annotated Mozart Sonatas: Score, Harmony, and Cadence,

Reference 23

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doi_truncated, observed 2026-08-02T04:48:29.081239Z

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Observation 62bebcde-4f52-4be6-8595-508292cf76b3 · outbound

This paper cites musicbert-large,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis musicbert-large,

Reference 24

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Observation e6085f71-885b-40ff-848e-308964a5ead1 · outbound

This paper cites GraphMuse: A Library for Symbolic Music Graph Processing.

From Prediction to Collaboration: Interactive Symbolic Music Analysis GraphMuse: A Library for Symbolic Music Graph Processing

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 7752214b-e238-4117-9f18-29ba6a9e0414 · outbound

This paper cites Gradient surgery for multi-task learning,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Gradient surgery for multi-task learning,

Reference 26

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Observation 690e063e-5014-4b54-999c-f1412c57a5d5 · outbound

This paper cites Conflict- averse gradient descent for multi-task learning,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Conflict- averse gradient descent for multi-task learning,

Reference 27

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Observation d708609e-ce9c-4878-84d6-2e1ae156cb63 · outbound

This paper cites Gradnorm: Gradient normalization for adap- tive loss balancing in deep multitask networks,.

From Prediction to Collaboration: Interactive Symbolic Music Analysis Gradnorm: Gradient normalization for adap- tive loss balancing in deep multitask networks,

Reference 28

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Pith citing papers

Observation 85e7b650-66a5-40eb-988d-3f37a86a94d2 · inbound

From Prediction to Collaboration: Interactive Symbolic Music Analysis cites this paper.

From Prediction to Collaboration: Interactive Symbolic Music Analysis From Prediction to Collaboration: Interactive Symbolic Music Analysis

Reference 1

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