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Paper Citation Record · LEDGER

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis

As of 20 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2507.13572.

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

pith.paper-citation-record.v1
2507.13572 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:25:59.112448Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T10:45:09.089710Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T10:46:16.839701Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy30
  • unresolved4
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c67a551f-1346-4309-8e42-21a9f9645c71 · outbound

This paper cites Lerdahl and R.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Lerdahl and R

Reference 1

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no resolver link, observed 2026-08-06T16:25:59.000976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation de70fd7c-76c7-4217-b406-9b964306486d · outbound

This paper cites Learning hierarchical metrical structure beyond measures,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Learning hierarchical metrical structure beyond measures,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 44891fa1-ce5b-4c06-9c67-9d11acc1a82f · outbound

This paper cites Beat tracking by dynamic programming,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Beat tracking by dynamic programming,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 55983181-da2c-434f-9161-b551e4bb6ea8 · outbound

This paper cites Better beat tracking through robust onset aggregation,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Better beat tracking through robust onset aggregation,

Reference 4

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raw_fallback, observed 2026-08-06T16:25:59.424774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 75549747-4105-4fdd-9e62-a41cf879f35a · outbound

This paper cites Joint beat and downbeat tracking with recurrent neural networks.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Joint beat and downbeat tracking with recurrent neural networks

Reference 5

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raw_fallback, observed 2026-08-06T16:25:59.416091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 08c19f68-6f32-459d-8545-79e8ebca5d97 · outbound

This paper cites Using pairwise link prediction and graph attention networks for music structure analysis,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Using pairwise link prediction and graph attention networks for music structure analysis,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3a50caee-24a8-474c-9bb8-2c59d734c3d6 · outbound

This paper cites Automatic audio segmentation using a measure of audio novelty,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Automatic audio segmentation using a measure of audio novelty,

Reference 7

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raw_fallback, observed 2026-08-06T16:25:59.399245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 51b9e3b5-64ec-4785-9bc9-9990325a8d83 · outbound

This paper cites Structural segmentation of musical audio by constrained clustering,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Structural segmentation of musical audio by constrained clustering,

Reference 8

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raw_fallback, observed 2026-08-06T16:25:59.390631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.024770Z digest=sha256:208d169d3b5a1aab275f12db516257c2d0f85fb3099a12fdefd8a4e32077f8a4

Observation 170ac536-c434-456f-a96e-2fbe4a5d8861 · outbound

This paper cites Convex non-negative matrix factorization for automatic music structure identification,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Convex non-negative matrix factorization for automatic music structure identification,

Reference 9

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raw_fallback, observed 2026-08-06T16:25:59.382151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.028527Z digest=sha256:5acfdbd7257257ddece4b7e494008026409d6544975ab9040bfc8888c832dd06

Observation 57c0a86c-754f-4db2-a60c-c23aa8a00f39 · outbound

This paper cites Music segment similarity using 2d-fourier magnitude coefficients,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Music segment similarity using 2d-fourier magnitude coefficients,

Reference 10

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raw_fallback, observed 2026-08-06T16:25:59.373408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0116ee43-1663-423b-9019-20b5922cb459 · outbound

This paper cites Boundary detection in music structure analysis using convolutional neural networks.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Boundary detection in music structure analysis using convolutional neural networks

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.034606Z digest=sha256:df16b2758f46254605632f009e5a6be2bf380d42361a42ae67385e03a275e6b2

Observation 8bc4e561-862e-4b89-b1a3-ac7eba0b9dd0 · outbound

This paper cites Supervised chorus detection for popular music using convolutional neural network and multi-task learning,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Supervised chorus detection for popular music using convolutional neural network and multi-task learning,

Reference 12

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raw_fallback, observed 2026-08-06T16:25:59.356095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ef123738-d268-4d3f-9e45-3f5e1961aaa7 · outbound

This paper cites Supervised metric learning for music structure features,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Supervised metric learning for music structure features,

Reference 13

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raw_fallback, observed 2026-08-06T16:25:59.346355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fdc95b7c-0cc2-4104-856e-cba98accadf7 · outbound

This paper cites To catch a chorus, verse, intro, or anything else: Analyzing a song with structural functions,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis To catch a chorus, verse, intro, or anything else: Analyzing a song with structural functions,

Reference 14

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raw_fallback, observed 2026-08-06T16:25:59.337783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.044324Z digest=sha256:d1ac254189927f1a68a7d2ac84afc0ffc0b7e3b0c9c7b186fe073f7309c4bc8b

Observation b3b23695-54f1-444d-b91d-24ef467c3c2e · outbound

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

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Learning multi-level representations for hierarchical music structure analysis,

Reference 15

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raw_fallback, observed 2026-08-06T16:25:59.329106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 59e39db6-790c-4e82-9adc-25838ee7877d · outbound

This paper cites MIREX 2013: Structural segmentation,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis MIREX 2013: Structural segmentation,

Reference 16

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raw_fallback, observed 2026-08-06T16:25:59.320786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.050517Z digest=sha256:877bc578c68280ec5d6ec6f8339eeb5b0aa1e394cb78abd4846ade0453e5a794

Observation 146748b1-f43c-495a-a0f2-30a48e401884 · outbound

This paper cites A meta-analysis of the mirex structure segmentation task,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis A meta-analysis of the mirex structure segmentation task,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 49ee8b53-8c76-4f59-9647-cc35789f0dbd · outbound

This paper cites Audio-based music structure analysis: Current trends, open challenges, and applications,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Audio-based music structure analysis: Current trends, open challenges, and applications,

Reference 18

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raw_fallback, observed 2026-08-06T16:25:59.303736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.057860Z digest=sha256:c4634223de84beb9fd80be5033972b6af62672f67659b38ed36c18ee52f52ece

Observation 85f486b5-0cf8-4662-a7a6-9a9a00239bf8 · outbound

This paper cites Enhanced hierarchical music structure annotations via feature level similarity fusion,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Enhanced hierarchical music structure annotations via feature level similarity fusion,

Reference 19

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raw_fallback, observed 2026-08-06T16:25:59.295347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 64f33f4f-730c-4716-b8b4-1c0081883f99 · outbound

This paper cites Music structure boundary detection and labelling by a deconvolution of path-enhanced self-similarity matrix,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Music structure boundary detection and labelling by a deconvolution of path-enhanced self-similarity matrix,

Reference 20

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raw_fallback, observed 2026-08-06T16:25:59.286921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 04457351-be19-4f7a-9aee-d1e41371b7e8 · outbound

This paper cites Lerch, An introduction to audio content analysis: Music Information Retrieval tasks and applications.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Lerch, An introduction to audio content analysis: Music Information Retrieval tasks and applications

Reference 21

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raw_fallback, observed 2026-08-06T16:25:59.277233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.068135Z digest=sha256:f6e90b8e5bc4067f7e8f04a7cda4d0320837dc9818b2acb128280e9954ef211f

Observation 42c819b0-3377-40cb-84ba-41cced877a28 · outbound

This paper cites State of the art report: Audio-based music structure analysis.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis State of the art report: Audio-based music structure analysis

Reference 22

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raw_fallback, observed 2026-08-06T16:25:59.268254Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8ad01484-755d-47a4-9503-6cc5cbcd9a73 · outbound

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

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis MERT: acoustic music understanding model with large-scale self-supervised training,

Reference 23

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raw_fallback, observed 2026-08-06T16:25:59.258631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b957e592-df68-4ab5-8463-ea391d77d59b · outbound

This paper cites A foundation model for music informatics,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis A foundation model for music informatics,

Reference 24

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raw_fallback, observed 2026-08-06T16:25:59.249280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.077608Z digest=sha256:34a3315a5e15d57da42ee0a4665f267e73574d606c93578dc936c06a91d335ed

Observation 37c5fb8f-8a6a-4294-b859-091ca024a8af · outbound

This paper cites MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization

Reference 25

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no resolver link, observed 2026-08-06T16:25:59.081198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:25:59.081198Z digest=sha256:933f6d6bf11fbbd57b4ef1c84a56e8b6c803e29c3e7c0554bac3dccca090c6f4

Observation 452baee2-4d0c-44ca-9630-7ec2c95cb14b · outbound

This paper cites Foundation Models for Music: A Survey.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Foundation Models for Music: A Survey

Reference 26

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no resolver link, observed 2026-08-06T16:25:59.084669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:25:59.084669Z digest=sha256:99db0dfe2b99120e6588630cb91c2580842ad9ce3b6b645cb8aca6e427bf31f8

Observation 46807ca8-087f-45f8-aeea-ca87f927b455 · outbound

This paper cites MARBLE: Music Audio Representation Benchmark for Universal Evaluation,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis MARBLE: Music Audio Representation Benchmark for Universal Evaluation,

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-06T16:25:59.239251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1eb0dbe8-0a36-4cde-bea4-bfa774a7ee92 · outbound

This paper cites Codified audio language modeling learns useful representations for music information retrieval,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Codified audio language modeling learns useful representations for music information retrieval,

Reference 28

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raw_fallback, observed 2026-08-06T16:25:59.229878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.091332Z digest=sha256:7bfb1ebbea58cc8d3461eb4f40bbb6a0932125f3024b871027248259077db319

Observation 6ca707a2-bb16-43b3-ad1e-70486f813e59 · outbound

This paper cites The Harmonix Set: Beats, Downbeats, and Functional Segment Annotations of Western Popular Music.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis The Harmonix Set: Beats, Downbeats, and Functional Segment Annotations of Western Popular Music

Reference 29

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raw_fallback, observed 2026-08-06T16:25:59.220088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.094443Z digest=sha256:f82054e1a4ecee208b50c114a2f72aa38501aa0bf023fad6db47a7d6e16dc18a

Observation d3d954f1-3703-4438-8669-4acf5fa3ca1c · outbound

This paper cites RWC Music Database: Popular, Classical and Jazz Music Databases.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis RWC Music Database: Popular, Classical and Jazz Music Databases

Reference 30

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raw_fallback, observed 2026-08-06T16:25:59.209853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.097424Z digest=sha256:3d1eb6656dabfd5fae47ff5c8d0deb5b536f097dab9afb6173cb58d68383a178

Observation 4f9df570-a245-455b-a192-4792ffe9d224 · outbound

This paper cites Conformer: Convolution-augmented transformer for speech recognition,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Conformer: Convolution-augmented transformer for speech recognition,

Reference 31

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raw_fallback, observed 2026-08-06T16:25:59.199524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.100301Z digest=sha256:060109cfdca53e3199ab1ab204ab653884c6f38f1bc3bb477e648057765fadf8

Observation 41bffe38-141f-4907-a487-20a9f9dcbfc3 · outbound

This paper cites Focal loss for dense object detection,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Focal loss for dense object detection,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T16:25:59.103240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:25:59.103240Z digest=sha256:ded55ab2514d59029646d2722bb376636f3e83a77690e4ecc4cfbb23a8779bb4

Observation 27d34473-6fda-4183-a855-d5ad7be0a1ad · outbound

This paper cites All-in-one metrical and functional structure analysis with neighborhood attentions on demixed audio,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis All-in-one metrical and functional structure analysis with neighborhood attentions on demixed audio,

Reference 33

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raw_fallback, observed 2026-08-06T16:25:59.184307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.106121Z digest=sha256:db3abdd49f32d517cf49adfa83035c142b8873c2d5ba03b2fa27bab8af3925d4

Observation aa67e238-5309-4494-a726-5049b2b81340 · outbound

This paper cites Evaluation of CNN-based Automatic Music Tagging Models.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis Evaluation of CNN-based Automatic Music Tagging Models

Reference 34

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local_arxiv, observed 2026-08-06T16:25:59.144700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.108992Z digest=sha256:b697b8b2e85d204b6c299b0e5e59bdbb75e59e359037a1a03f59441decee94af

Observation ea187e2d-2d54-49bd-bedb-8da1444b457d · outbound

This paper cites SpecTNT: a time-frequency transformer for music audio,.

Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis SpecTNT: a time-frequency transformer for music audio,

Reference 35

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raw_fallback, observed 2026-08-06T16:25:59.173570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T16:25:59.112448Z digest=sha256:501bd805a17947b2424bb80b77d6ad2e1691d6e38b09bf2fc140e5a6e5360690

Pith citing papers

Observation 04620ffc-b674-45f6-bb29-ef2170136499 · inbound

SongFormer: Scaling Music Structure Analysis with Heterogeneous Supervision cites this paper.

SongFormer: Scaling Music Structure Analysis with Heterogeneous Supervision Temporal Adaptation of Pre-trained Foundation Models for Music Structure Analysis

Reference 26

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arxiv_id, observed 2026-05-18T10:46:16.842389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T10:45:09.089710Z digest=sha256:be6d2e4573b8f2100086c320300573fd1c69ba2a5ee67dfca462bcbfacf0fd53