Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:29:54.414352Z
Paper Citation Record · LEDGER
Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation
As of 13 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
42 of 42 outbound references displayed
- verified exact0
- verified fuzzy29
- unresolved13
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External citation measurements
No source-named external measurement is stored.
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation af83a81e-9c80-403b-a626-d8cfdef8cb6a · outbound
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fee8669e-174e-4a08-b8f9-08c7550cf94f · outbound
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
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9c9533b6-44f2-4f8e-9ec2-c1807f7389ac · outbound
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 899116bf-d8ae-487b-8e98-ecf9216358b5 · outbound
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation aefa0445-4656-4d33-86d4-ae9d5a13304a · outbound
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d8a42072-a7d5-4b61-8533-8101450b4f85 · outbound
This paper cites ACM (2023).
Reference 9
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:29:54.865285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 92de68c1-81be-4ae7-bf3d-e8753c60d85f · outbound
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
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
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 129ce848-1d49-49bb-8bb6-d48b8f49b211 · outbound
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
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 5d95f13e-06f5-4dfd-9fc0-c792f8740592 · outbound
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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b43d4af1-4782-4cc5-b34b-334e09f8e94e · outbound
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7c4614a6-cdc5-4e16-86ca-d30e5eb20a41 · outbound
This paper cites CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP.
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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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aee742a0-fa88-44c0-b47e-6898b4f601e4 · outbound
This paper cites Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2f5246e-512d-483b-8a08-4d6d6d8a6c08 · 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 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e737de1d-ee89-4318-bfbd-050ac49bee5e · outbound
This paper cites Hugging Face.
Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation Hugging Face
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 6c2e3f56-952f-4a94-9a6c-3ad4f5b39a5b · outbound
This paper cites A Survey on Video Diffusion Models.
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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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d207e72-3aa9-4abc-bdb2-c281e1f0dbf1 · 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 25
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 99a00a15-9d7c-4106-aaa8-a1b3503d465f · outbound
This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc1d2b16-93fd-45a8-8ae0-f7515c84aaee · outbound
This paper cites In: Proceedings of the 12th Annual ACM International Conference on Multimedia, pp.
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
- Resolution
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- raw_fallback, observed 2026-08-11T20:29:54.723792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 2fa31471-94e2-4c59-8004-4f6e7a7fa5b9 · outbound
This paper cites AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion.
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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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b618e5c1-cae3-4c1b-a007-95014eb3f470 · outbound
This paper cites musicnn: Pre-trained convolutional neural networks for music audio tagging.
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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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19cb612a-a9f6-4efb-9e5d-34a91d1ea395 · outbound
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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d4258680-51f0-4095-a5bd-c9235c28fc0f · outbound
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
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation ef2a7171-98f1-4fb8-842f-c7842861de31 · outbound
This paper cites LP-MusicCaps: LLM-Based Pseudo Music Captioning.
Combining Genre Classification and Harmonic-Percussive Features with Diffusion Models for Music-Video Generation LP-MusicCaps: LLM-Based Pseudo Music Captioning
Reference 32
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 276e7626-7318-4f4d-b915-f444dc6148c9 · outbound
This paper cites MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
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 2026-08-13T06:32:02.005865+00:00.
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 2026-08-13T06:32:02.005865+00:00.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:29:54.644545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
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 2026-08-13T06:32:02.005865+00:00.
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
- raw_fallback, observed 2026-08-11T20:29:54.609991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
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.
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 2026-08-13T06:32:02.005865+00:00.
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 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
No inbound Pith citation observations are available.