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Paper Citation Record · LEDGER

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation

As of 12 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2412.05694.

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

pith.paper-citation-record.v1
2412.05694 v1

Coverage vector

measured 42 of 42 reference resolution

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Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 7e885b16-e339-46bf-b04a-f3993a60a774 · outbound

This paper cites In: Proceedings of the 20th ACM International Conference on Multimedia, pp.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: Proceedings of the 20th ACM International Conference on Multimedia, pp

Reference 1

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This paper cites Master’s thesis, Mississippi College (2018).

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation Master’s thesis, Mississippi College (2018)

Reference 2

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This paper cites In: 2003 International Conference on Multimedia and Expo.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: 2003 International Conference on Multimedia and Expo

Reference 3

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This paper cites In: IEEE Conference on Computer Vision and Pattern Recognition, vol.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: IEEE Conference on Computer Vision and Pattern Recognition, vol

Reference 4

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This paper cites In: The Second International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, pp.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: The Second International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, pp

Reference 5

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This paper cites In: KES’2000.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: KES’2000

Reference 6

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Observation 7ac15913-8415-4ee3-9e49-8087aeb6c74f · outbound

This paper cites Image and Vision Computing 21(13-14), 1077–1086 (2003) 19.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation Image and Vision Computing 21(13-14), 1077–1086 (2003) 19

Reference 7

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Observation 7ec5e084-037c-4824-84a0-183ae45e1a63 · outbound

This paper cites International Journal of Computer Vision 53, 71–92 (2003).

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation International Journal of Computer Vision 53, 71–92 (2003)

Reference 8

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This paper cites ACM (2023).

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation ACM (2023)

Reference 9

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Observation c32c673b-630a-4dd4-ac88-073849fa12c9 · outbound

This paper cites In: Proceedings of the 28th ACM International Conference on Multimedia, pp.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: Proceedings of the 28th ACM International Conference on Multimedia, pp

Reference 10

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This paper cites In: Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: Pro- ceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp

Reference 11

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Observation 7b44fbbd-cb41-4e07-be24-2659b9ba55cf · outbound

This paper cites In: Proceedings of the 20th ACM International Conference on Multimedia, pp.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: Proceedings of the 20th ACM International Conference on Multimedia, pp

Reference 12

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This paper cites In: Proceedings of the 25th ACM International Conference on Multimedia, pp.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: Proceedings of the 25th ACM International Conference on Multimedia, pp

Reference 13

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Observation 00eecc1a-5602-4953-9d33-c5bae8142b0b · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence45(9), 10850–10869 (2023).

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation IEEE Transactions on Pattern Analysis and Machine Intelligence45(9), 10850–10869 (2023)

Reference 14

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This paper cites In: Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P.S., Wortman Vaughan, J.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P.S., Wortman Vaughan, J

Reference 15

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Observation 5b923e0c-7104-41df-9900-92a9596b67a5 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 16

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This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 17

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Observation 2773e169-e9d7-4048-be4d-35a4990944d8 · outbound

This paper cites Text-to-image Diffusion Models in Generative AI: A Survey.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation Text-to-image Diffusion Models in Generative AI: A Survey

Reference 18

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Observation 0b23dc04-a9b3-4eca-98a9-3cac7c4b62f6 · outbound

This paper cites In: International Conference on Machine Learning, 20 pp.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: International Conference on Machine Learning, 20 pp

Reference 19

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Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP

Reference 20

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Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

Reference 21

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This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp

Reference 22

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Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation Hugging Face

Reference 23

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Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation A Survey on Video Diffusion Models

Reference 24

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Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: Advances in Neural Information Processing Systems vol

Reference 25

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Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 26

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Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: Proceedings of the 12th Annual ACM International Conference on Multimedia, pp

Reference 27

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Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion

Reference 28

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Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation musicnn: Pre-trained convolutional neural networks for music audio tagging

Reference 29

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This paper cites In: Proceedings of the 2021 International Joint Conference on Neural Networks (IJCNN), pp.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: Proceedings of the 2021 International Joint Conference on Neural Networks (IJCNN), pp

Reference 30

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This paper cites In: Proceedings of the ICASSP 2022 IEEE International Confer- ence on Acoustics, Speech and Signal Processing (ICASSP), pp.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: Proceedings of the ICASSP 2022 IEEE International Confer- ence on Acoustics, Speech and Signal Processing (ICASSP), pp

Reference 31

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Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation LP-MusicCaps: LLM-Based Pseudo Music Captioning

Reference 32

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Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response

Reference 33

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Observation 78265776-e333-4a2b-8aa0-97c6030443e1 · outbound

This paper cites In: Advances in Neural Information Processing Systems vol.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: Advances in Neural Information Processing Systems vol

Reference 34

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e7b345f3-9c53-4ee7-80c3-a6ed581e2465 · outbound

This paper cites In: Advances in Neural Information Processing Systems vol.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation In: Advances in Neural Information Processing Systems vol

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ff8d2097-71cf-4ea5-a0ce-84df90d36d68 · outbound

This paper cites an unresolved cited work.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:29:54.657418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3ae55627-5675-4455-8328-6e6eca0669aa · outbound

This paper cites US Patent App.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation US Patent App

Reference 37

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e0e55f76-cf4b-4890-8a0e-b0bc26b1fd3d · outbound

This paper cites PhD thesis, Queen Mary, University of London (2001).

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation PhD thesis, Queen Mary, University of London (2001)

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:54.626604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 42f12d83-cd39-4f88-b570-1e2b3487a98e · outbound

This paper cites GitHub repository.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation GitHub repository

Reference 39

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation cc29fe55-d1fb-4b47-8680-ca61727c994f · outbound

This paper cites IEEE Transactions on Acoustics, Speech, and Signal Processing 26(1), 43–49 (1978).

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation IEEE Transactions on Acoustics, Speech, and Signal Processing 26(1), 43–49 (1978)

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T20:29:54.406442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b54e1bb5-ffb8-47a6-be61-90414a15019a · outbound

This paper cites Revista Informatic˘ a Economic˘ a2(46), 94 (2008).

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation Revista Informatic˘ a Economic˘ a2(46), 94 (2008)

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:54.586059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T20:29:54.410227Z digest=sha256:23a2679610e795175b24efd0a043611473c48f6c9c5d9f81d692d8f079f6e6fa

Observation f2efd128-e32c-4650-b767-3c4fa763782e · outbound

This paper cites Intelligent Data Analysis 11(5), 561–580 (2007) 22.

Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation Intelligent Data Analysis 11(5), 561–580 (2007) 22

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:54.572306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Pith citing papers

No inbound Pith citation observations are available.