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Paper Citation Record · LEDGER

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio

As of 18 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2501.12907.

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

pith.paper-citation-record.v1
2501.12907 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:44:25.854817Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:28:27.054010Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T12:16:17.039197Z

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy27
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ea45ea59-70db-4ef6-ae17-38eaee126f55 · outbound

This paper cites an unresolved cited work.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:44:26.409192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.686136Z digest=sha256:59bd6a789c0dfdedc4189346f98c5fb7f8a8c8f59baf47dc829c58bab84a92d1

Observation 6012e83c-cf7f-4b0b-b5ae-965bbf33695a · outbound

This paper cites The music information retrieval evaluation exchange: Some observations and insights,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio The music information retrieval evaluation exchange: Some observations and insights,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.393772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.695987Z digest=sha256:809c6b4e4e2f1c17a143c9e3593e1b81d4bb37086cdca1ded7211055886465c2

Observation 56bd9eae-6b69-43f8-90ca-2b039ac2c6ba · outbound

This paper cites Feature learning and deep architectures: New directions for music informatics,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Feature learning and deep architectures: New directions for music informatics,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.377237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.703057Z digest=sha256:96c8eebeeb9c9f74d4acf5685f9cf133b5e077d09c9de56f7fafa3db7922ca27

Observation 0980727d-ed00-4eec-8f72-7f6a929b59a2 · outbound

This paper cites Audio self-supervised learning: A survey,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Audio self-supervised learning: A survey,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.360748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.709262Z digest=sha256:70e48610eab652fecbdf66e88c7017dcd8aafd9238f356517c67a378d83a4b68

Observation 8657cdcb-779e-4cfd-b84e-d79c33c27a87 · outbound

This paper cites AudioLDM 2: Learning holistic audio generation with self-supervised pretraining,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio AudioLDM 2: Learning holistic audio generation with self-supervised pretraining,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.342085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.716303Z digest=sha256:d1dad3abed0c746cf2fdec112c7fadf4586e03f772a20c0ae2cd1effa1b05e6b

Observation e572031f-76d1-47b6-9837-a46786c19775 · outbound

This paper cites BYOL for audio: Self-supervised learning for general- purpose audio representation,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio BYOL for audio: Self-supervised learning for general- purpose audio representation,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.325109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.722993Z digest=sha256:5bd67911402b6da866bd5740a64fbd240248b35f73891a527f9406405997af8c

Observation f53d88d1-a522-4025-98a1-e0905b9a5bf2 · outbound

This paper cites Contrastive learning of musical representations,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Contrastive learning of musical representations,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.309122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.728652Z digest=sha256:cdba09aba7343d709952aa524f6e763d6cd885ffd1a7cc630588a9bf89da1190

Observation 9a34e826-f6f6-42af-8e86-10fd8c859567 · outbound

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

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio MERT: Acoustic music understanding model with large-scale self-supervised training,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.292778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.733182Z digest=sha256:932131d0f5a1f07eae40a28e3af75a882813ce38d07458af572ff71b5e4c5a42

Observation f95b3ba0-224b-4637-9bac-af408622518f · outbound

This paper cites SPICE: Self-supervised pitch estimation,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio SPICE: Self-supervised pitch estimation,

Reference 9

Resolution
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raw_fallback, observed 2026-08-10T16:44:26.277192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.738602Z digest=sha256:df56f174dc20628bd220ea39b164b9bba69ddb1935b7401c53fd2cbea7c0243d

Observation e67901a0-0e99-46e2-a3e3-dd3382ac6a03 · outbound

This paper cites PESTO: Pitch estimation with self-supervised transposition-equivariant objective,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio PESTO: Pitch estimation with self-supervised transposition-equivariant objective,

Reference 10

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raw_fallback, observed 2026-08-10T16:44:26.260540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.744272Z digest=sha256:65bcdc700c087f3f2ee0c81882a617f56ee0f73f16449bd4d5f1ec52eacccd53

Observation 21c49883-2c7d-4a17-ad3d-85da4aa6b2ce · outbound

This paper cites Equivariant self-supervision for musical tempo estimation,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Equivariant self-supervision for musical tempo estimation,

Reference 11

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raw_fallback, observed 2026-08-10T16:44:26.243403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.750837Z digest=sha256:cf1cc078acb85200ce1f943a6af2b5bb5663b9580a1b29194d4616573a5db9cb

Observation ec6854a3-3794-4173-b9e8-1c586c5cff7f · outbound

This paper cites Adapting pitch- based self supervised learning models for tempo estimation,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Adapting pitch- based self supervised learning models for tempo estimation,

Reference 12

Resolution
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raw_fallback, observed 2026-08-10T16:44:26.226083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.756264Z digest=sha256:0e1dec9a917a17be4766a3f3bb50aaa245cd40aaab11f8e120b1dfaa0f09af1c

Observation 72a5b304-d808-40da-a52f-674441bbc0d0 · outbound

This paper cites Zero- note samba: Self-supervised beat tracking,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Zero- note samba: Self-supervised beat tracking,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T16:44:25.761910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:44:25.761910Z digest=sha256:4a73908506dd802fa0dc3598c00218e0ed1ecec481146810feb3047c2277dcba

Observation b9fff85e-d6b1-4ce7-9fd3-f6b00946bb21 · outbound

This paper cites Deep unsupervised drum transcription,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Deep unsupervised drum transcription,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.197945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.767102Z digest=sha256:41d78b07d19d8775b6dc6594c820058b42cbf19fee590c26d626b4fd9b845cfb

Observation dd0201b6-d56c-4141-8612-bf8566ffa258 · outbound

This paper cites Learning multi-level representations for hierarchical music structure analysis,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Learning multi-level representations for hierarchical music structure analysis,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.178924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.772368Z digest=sha256:ee707824b7ca9d2a958f22a96f67f937ac5f23c0c95ae4ceefbed0558c2a0536

Observation dcf77b99-62a6-4410-adf6-6a7537d93718 · outbound

This paper cites Stone: Self-supervised tonality estimator,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Stone: Self-supervised tonality estimator,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.160873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.778078Z digest=sha256:ff08da023dc876e59a4b93375e43ce05493680492847cb8df6c6d5677799b9ad

Observation 171eda44-fa2b-4b96-ba7d-edc6b9689e23 · outbound

This paper cites Genre-agnostic key clas- sification with convolutional neural networks,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Genre-agnostic key clas- sification with convolutional neural networks,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.144637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.783503Z digest=sha256:5c143af4b1e0360b48c243da4fca03cf744f95e94a4b78c44caa97e07fcbbe75

Observation 219d3194-17a5-4932-a8e6-3903e627c7ca · outbound

This paper cites Krumhansl, Cognitive foundations of musical pitch , Oxford University Press, 2001.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Krumhansl, Cognitive foundations of musical pitch , Oxford University Press, 2001

Reference 18

Resolution
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raw_fallback, observed 2026-08-10T16:44:26.128174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.788617Z digest=sha256:fc1b09243deb7a9fce7e2cd6c59425f97235bf931092425ef34e01a7b75a3820

Observation 83eda29b-5ce9-4fb2-9c38-b52675ebb76a · outbound

This paper cites Madmom: A new Python audio and music signal processing library,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Madmom: A new Python audio and music signal processing library,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.110000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.794543Z digest=sha256:2c668c44383208ad4234ebdb55d9a60b138b7ca9b7ba5f9b46892edc9294300e

Observation f4976b41-ecbe-49e0-b383-b7d9d4288714 · outbound

This paper cites Fmak: A dataset of key and mode annotations for the free music archive–extended abstract,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Fmak: A dataset of key and mode annotations for the free music archive–extended abstract,

Reference 20

Resolution
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raw_fallback, observed 2026-08-10T16:44:26.091198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.799744Z digest=sha256:9eac004b107b852f71863cae0ec130c5e493435010942a31829d9029251e1f2e

Observation 1d9fb74b-05d2-491b-b5a1-f9b7813bc4d5 · outbound

This paper cites FMA: A dataset for music analysis,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio FMA: A dataset for music analysis,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.074920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.804961Z digest=sha256:0bcd2a1b686b541df8538aec4f832392612b69ef959239515f794add86194b97

Observation f83e56db-3ba5-4da0-8e5e-29928a25bb4e · outbound

This paper cites Genre-specific key profiles,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Genre-specific key profiles,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.059370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.810341Z digest=sha256:554e27b67c2690df3d9d96836c566b5c29f1b6b7b01d3992e535f3d8a4299de8

Observation dc223fc0-f37f-4941-a0cb-a08854b5a78f · outbound

This paper cites Giantsteps key dataset,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Giantsteps key dataset,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.043809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.815265Z digest=sha256:f97f09843a2cb83d8dbc7431c9bb2b2d9516263445ca5d4955c878201b1a8481

Observation 87fa55f2-eb68-409c-90f3-4d72660bb5b3 · outbound

This paper cites Schubert winterreise dataset: A multimodal scenario for music analysis,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Schubert winterreise dataset: A multimodal scenario for music analysis,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.027643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.819489Z digest=sha256:01d5d527e0f19d60f34d48e68d989fd686d97f42ebdcea1aeff25e2fc0c41c68

Observation 960d4699-98b2-40fd-873a-c50ee3f76aa2 · outbound

This paper cites mir eval: A Transparent Implementation of Common MIR Metrics.,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio mir eval: A Transparent Implementation of Common MIR Metrics.,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:26.009734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.824604Z digest=sha256:c167f64a693a341ac3587515a48fd894405a06065d3c3533fa3657b436667b67

Observation 3c3f8301-3ba7-48fb-8751-b273deae79a7 · outbound

This paper cites An experimental comparison of multi-view self-supervised methods for music tagging,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio An experimental comparison of multi-view self-supervised methods for music tagging,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:25.990112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.829296Z digest=sha256:1a859bef209c38b1a48c609c2826f9ee1b40ced0442054217482d91aeb173b52

Observation 30f5e1f2-d29f-4399-a52e-ffb03174c2df · outbound

This paper cites an unresolved cited work.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-10T16:44:25.971528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.834470Z digest=sha256:04c0fb22b933122d18f1aaf844af600d1520a57c5dd0f63b0fbec2e6dffd1e97

Observation a9c1814c-170b-4773-afc1-9babe23cd141 · outbound

This paper cites Blues tonality,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Blues tonality,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:25.953336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.839148Z digest=sha256:e169efbdaa39fdf57ceac5fd1f6782e5fef00a70793057d5239fe775219d3550

Observation 2cee0dc8-c833-409c-9728-92f1f924dd97 · outbound

This paper cites The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future use.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio The GTZAN dataset: Its contents, its faults, their effects on evaluation, and its future use

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T16:44:25.844336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:44:25.844336Z digest=sha256:cceaf92b54deec7ccaa98afa0fc62f9d7ca701f952316edd4fd7ee49c8329316

Observation 1b413a7f-a4ef-421a-a588-d6c7aa0630a9 · outbound

This paper cites Tonal cognition,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Tonal cognition,

Reference 30

Resolution
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raw_fallback, observed 2026-08-10T16:44:25.933869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.849866Z digest=sha256:568000ed3cb1ca266dd75efdc16d1dd26c8ef4a61b2eb4d1a9bd6927ae08652f

Observation 140d1a02-8738-4107-9500-20f5f1481c3a · outbound

This paper cites Learning the helix topology of musical pitch,.

S-KEY: Self-supervised Learning of Major and Minor Keys from Audio Learning the helix topology of musical pitch,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T16:44:25.915816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T16:44:25.854817Z digest=sha256:ef3755fe1496d8d445a0a3d2458a934a5ca26d6b3c930f2ab7da7d642f7196e3

Pith citing papers

Observation 087ed2f8-ff0b-42c0-9621-87e777581fd1 · inbound

Do Text-to-Music Models Really Follow Instructions? A Counterfactual Evaluation of Key and Beat Grouping cites this paper.

Do Text-to-Music Models Really Follow Instructions? A Counterfactual Evaluation of Key and Beat Grouping S-KEY: Self-supervised Learning of Major and Minor Keys from Audio

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:28:27.873320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-16T00:28:27.054010Z digest=sha256:0e5549e1af4a27d24e9b50df3623e55648f965b34d5d676d3156ae35f87bb424