Paper Citation Record · LEDGER

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval

As of 5 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:1906.10996.

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

pith.paper-citation-record.v1
1906.10996 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T15:25:26.576792Z

measured 33 of 33 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 2026-05-25T15:25:26.576792Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T15:25:58.956344Z

Reference resolution

32 of 32 outbound references displayed

verified exact3
verified fuzzy26
unresolved3
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c793992-3474-4b24-909c-63af84cc5dfd · outbound

This paper cites Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:25:58.959665Z

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Observation 02b39ee0-856a-4c2a-8bf8-2ceaeaa78076 · outbound

This paper cites an unresolved cited work.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-25T15:25:59.878998Z

Source-reported events for the cited work

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Observation 3640109c-4a5b-4b4f-935c-2f21c649bb17 · outbound

This paper cites tempo” (more pre- cisely: the perceived “speed.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval tempo” (more pre- cisely: the perceived “speed

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.885555Z

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Observation e42a157c-e093-4735-b27d-cde13a9e6866 · outbound

This paper cites In our end-to-end audio– sheet music retrieval application, the results improved sub- stantially compared to the state of the art.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval In our end-to-end audio– sheet music retrieval application, the results improved sub- stantially compared to the state of the art

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.871846Z

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Observation 4f3f44cc-1ace-4301-b757-db1201a6fdf8 · outbound

This paper cites Look, lis- ten and learn.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Look, lis- ten and learn

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.793257Z

Source-reported events for the cited work

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Observation bc1ceb2f-05c1-4cc6-bae0-8180f49fb214 · outbound

This paper cites Fast identiﬁcation of piece and score position via sym- bolic ﬁngerprinting.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Fast identiﬁcation of piece and score position via sym- bolic ﬁngerprinting

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.799855Z

Source-reported events for the cited work

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Observation 9c95b116-a452-4141-ad4c-3e9ff95dd5b5 · outbound

This paper cites Neural machine translation by jointly learning to align and translate.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Neural machine translation by jointly learning to align and translate

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.832742Z

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.

Observation d728b99f-d868-49f1-b054-e3340afe6e60 · outbound

This paper cites Retrieving audio recordings us- ing musical themes.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Retrieving audio recordings us- ing musical themes

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.796535Z

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.

Observation 3109e456-b8f3-4a72-a0e5-4e7a4afb23aa · outbound

This paper cites A Dictionary of Musical Themes.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval A Dictionary of Musical Themes

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.822857Z

Source-reported events for the cited work

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Observation 333c5bbb-1aec-4af1-8666-5b81ade1c672 · outbound

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

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Polyphonic piano note transcription with recurrent neural networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.803201Z

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.

Observation 46a36704-dd78-4fdd-bc58-de2a3862be26 · outbound

This paper cites Simonsen.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Simonsen

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.857346Z

Source-reported events for the cited work

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Observation af7c4f40-2b94-466b-9085-a3503250003b · outbound

This paper cites Le, and Oriol Vinyals.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Le, and Oriol Vinyals

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.845624Z

Source-reported events for the cited work

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Observation 9ef098d4-0736-4414-96ee-0459e1e01a32 · outbound

This paper cites An attack/decay model for piano transcription.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval An attack/decay model for piano transcription

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.812703Z

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.

Observation 6ee5a995-851b-4f8b-a902-9f47a0f574c1 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:25:58.947200Z

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.

Observation 88e99aaf-ed7a-42b0-85b0-31ff4b13139c · outbound

This paper cites Learning audio–sheet music correspondences for cross-modal retrieval and piece identiﬁcation.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Learning audio–sheet music correspondences for cross-modal retrieval and piece identiﬁcation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.806607Z

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.

Observation 9c24cd7a-f144-419c-bb8e-472b3daa3bfc · outbound

This paper cites Attention as a perspective for learning tempo-invariant audio queries.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Attention as a perspective for learning tempo-invariant audio queries

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.838580Z

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.

Observation 5049bd3c-bf2c-45e9-b0d0-f6b9251560e2 · outbound

This paper cites End-to-end cross- modality retrieval with CCA projections and pairwise ranking loss.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval End-to-end cross- modality retrieval with CCA projections and pairwise ranking loss

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.882259Z

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.

Observation 450c9b46-17fa-4acb-8b24-c0d4c816a194 · outbound

This paper cites Sheet music-audio identiﬁca- tion.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Sheet music-audio identiﬁca- tion

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.864603Z

Source-reported events for the cited work

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Observation bd84b631-3dfd-4132-a155-64821e84ee1f · outbound

This paper cites Further steps towards a standard testbed for Optical Music Recognition.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Further steps towards a standard testbed for Optical Music Recognition

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.842115Z

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.

Observation 030e427e-0b08-4e33-affd-08ea0063c611 · outbound

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

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Onsets and frames: Dual- objective piano transcription

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.815838Z

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.

Observation a5b5aa08-c30a-4278-a15a-dbcf04f0a45d · outbound

This paper cites Bridging printed music and audio through alignment using a mid-level score representation.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Bridging printed music and audio through alignment using a mid-level score representation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.860981Z

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.

Observation b98bdce3-ff3e-41e8-a1c9-1a29b1bcdb03 · outbound

This paper cites Deep polyphonic ADSR piano note transcription.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Deep polyphonic ADSR piano note transcription

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.809513Z

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.

Observation 0ead705c-eceb-4421-bcb2-6bed4caba65d · outbound

This paper cites On the potential of simple framewise approaches to piano transcription.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval On the potential of simple framewise approaches to piano transcription

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.826519Z

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.

Observation 42c7da38-d271-426e-ba25-b57b0e0d5522 · outbound

This paper cites Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:25:58.953423Z

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.

Observation 1adf266c-e3aa-42e2-b425-5c196cfb72b0 · outbound

This paper cites Automated syn- chronization of scanned sheet music with audio record- ings.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Automated syn- chronization of scanned sheet music with audio record- ings

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.853791Z

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.

Observation c597bb1f-90d8-414c-b21a-02ce912ede2e · outbound

This paper cites Cross-modal music re- trieval and applications: An overview of key method- ologies.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Cross-modal music re- trieval and applications: An overview of key method- ologies

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.819297Z

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.

Observation 8bce24c9-1cea-4966-8757-e2c08bc53e8b · outbound

This paper cites Attention and augmented recurrent neural networks.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Attention and augmented recurrent neural networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.849978Z

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.

Observation e4c3f49e-117c-4227-9db0-0f889b01b43f · outbound

This paper cites New ap- proaches to optical music recognition.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval New ap- proaches to optical music recognition

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.868270Z

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.

Observation d45414f6-202d-4b54-99cf-2f23d3b903dc · outbound

This paper cites an unresolved cited work.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-25T15:25:59.829823Z

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.

Observation e9e3840a-bc1b-4cd8-8dcb-673edf943c27 · outbound

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

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval An end-to-end neural network for polyphonic piano music transcription

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.875633Z

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.

Observation bdc39332-7b9a-46ef-bb78-3c741ffa125a · outbound

This paper cites Automatic drum transcription for polyphonic record- ings using soft attention mechanisms and convolutional neural networks.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Automatic drum transcription for polyphonic record- ings using soft attention mechanisms and convolutional neural networks

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T15:25:59.790080Z

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.

Observation b465b7bb-edff-483f-a2a0-dd87f5387022 · outbound

This paper cites an unresolved cited work.

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-05-25T15:25:59.835425Z

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.

Pith citing papers

Observation 7c793992-3474-4b24-909c-63af84cc5dfd · inbound