Paper Citation Record · LEDGER

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models

As of 23 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 2 inbound Pith citation observations for arXiv:2506.17886.

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

pith.paper-citation-record.v1
2506.17886 v2

Coverage vector

measured 70 of 70 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

70 of 70 outbound references displayed

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External citation measurements

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Outbound references

Observation ed0920a8-c9d3-47c0-a97d-6fc1c8cfe3ae · outbound

This paper cites GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models

Reference 1

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GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Unresolved cited work

Reference 2

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Observation 5abc4c99-22ab-4541-9072-8478ddd18aa9 · outbound

This paper cites Using a pretrained latent space op- timized for audio-audio retrieval, we train a generative dif- fusion model conditioned on text to generate audio latent embeddings in this space.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Using a pretrained latent space op- timized for audio-audio retrieval, we train a generative dif- fusion model conditioned on text to generate audio latent embeddings in this space

Reference 3

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This paper cites a rock song.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models a rock song

Reference 4

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GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Unresolved cited work

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Observation 6f8aa8cf-5252-435b-8bd6-a0bed5a93190 · outbound

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GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models does not mean

Reference 6

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GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Unresolved cited work

Reference 7

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Observation 783d38eb-a68b-43e7-b466-f877f07707da · outbound

This paper cites Contrastive audio-language learning for music,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Contrastive audio-language learning for music,

Reference 8

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Observation 3be2fcb2-89a8-4eb7-8f96-117f30c219ed · outbound

This paper cites Mulan: A joint em- bedding of music audio and natural language,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Mulan: A joint em- bedding of music audio and natural language,

Reference 9

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Observation 1750edf8-a126-4b4f-b69b-f7c43db5410c · outbound

This paper cites Large-scale con- trastive language-audio pretraining with feature fusion and keyword-to-caption augmentation,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Large-scale con- trastive language-audio pretraining with feature fusion and keyword-to-caption augmentation,

Reference 10

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Observation 131abbe4-db9a-4324-bed0-9510b723969a · outbound

This paper cites Collap: Contrastive long-form language-audio pretraining with musical temporal structure augmentation,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Collap: Contrastive long-form language-audio pretraining with musical temporal structure augmentation,

Reference 11

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This paper cites Clap learning audio concepts from natural language supervi- sion,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Clap learning audio concepts from natural language supervi- sion,

Reference 12

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Observation b2bd12bd-c2b2-4138-87fb-2b0671e685b7 · outbound

This paper cites Denoising diffusion probabilistic models,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Denoising diffusion probabilistic models,

Reference 13

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This paper cites AudioLDM: Text- to-audio generation with latent diffusion models,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models AudioLDM: Text- to-audio generation with latent diffusion models,

Reference 14

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Observation 33e189d6-8557-48ac-91b9-4c0d8bfbedb1 · outbound

This paper cites Audioldm 2: Learning holistic audio generation with self-supervised pretrain- ing,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Audioldm 2: Learning holistic audio generation with self-supervised pretrain- ing,

Reference 15

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Observation ed749373-da6f-4a8c-9420-d5ebff72d5c0 · outbound

This paper cites MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies

Reference 16

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Observation 39e0218a-2ad5-4e8b-9e36-bee4ec1cd302 · outbound

This paper cites Music con- trolnet: Multiple time-varying controls for music gen- eration,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Music con- trolnet: Multiple time-varying controls for music gen- eration,

Reference 17

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This paper cites Text-to- audio generation using instruction guided latent diffu- sion model,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Text-to- audio generation using instruction guided latent diffu- sion model,

Reference 18

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Observation c0857d57-fbfd-427a-a6b5-c940aeeef7db · outbound

This paper cites Diff-a-riff: Musical accompaniment co-creation via latent diffu- sion models,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Diff-a-riff: Musical accompaniment co-creation via latent diffu- sion models,

Reference 19

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This paper cites Ditto: diffusion inference-time t-optimization for mu- sic generation,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Ditto: diffusion inference-time t-optimization for mu- sic generation,

Reference 20

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GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Long-form mu- sic generation with latent diffusion,

Reference 21

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Observation c0f21343-fca6-4ea1-a2e2-5c0728cbb755 · outbound

This paper cites Fast timing- conditioned latent audio diffusion,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Fast timing- conditioned latent audio diffusion,

Reference 22

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Observation a8752a35-85d6-4b5b-ada1-e9b2218d7938 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 23

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GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Null-text inversion for editing real images using guided diffusion models,

Reference 24

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This paper cites Dynamic prompt learning: Addressing cross-attention leakage for text- based image editing,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Dynamic prompt learning: Addressing cross-attention leakage for text- based image editing,

Reference 25

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This paper cites Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions

Reference 26

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GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Compositional in- version for stable diffusion models,

Reference 27

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This paper cites Learn- ing transferable visual models from natural language supervision,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Learn- ing transferable visual models from natural language supervision,

Reference 28

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GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Sigmoid loss for language image pre-training,

Reference 29

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Observation 32ed8994-28c1-459d-84b9-b4e7bb584e19 · outbound

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GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Improving fine- grained understanding in image-text pre-training,

Reference 30

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Observation d3daaa15-e3e2-43eb-8e5c-f337cc98f713 · outbound

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GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models A simple framework for contrastive learning of visual represen- tations,

Reference 31

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This paper cites T-clap: Temporal- enhanced contrastive language-audio pretraining,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models T-clap: Temporal- enhanced contrastive language-audio pretraining,

Reference 32

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Observation 7e5b7515-5304-410e-949a-90a8706efc91 · outbound

This paper cites Augment, drop & swap: Improving diversity in llm captions for efficient music-text representation learning,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Augment, drop & swap: Improving diversity in llm captions for efficient music-text representation learning,

Reference 33

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Observation 342b023c-404f-4bc3-8ab8-f4b657832a22 · outbound

This paper cites Cacophony: An improved contrastive audio-text model,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Cacophony: An improved contrastive audio-text model,

Reference 34

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Observation 7f134a9d-6340-4d63-a1cb-c7980412ad6d · outbound

This paper cites Spec- MaskGIT: Masked Generative Modeling of Audio Spectrograms for Efficient Audio Synthesis and Be- yond,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Spec- MaskGIT: Masked Generative Modeling of Audio Spectrograms for Efficient Audio Synthesis and Be- yond,

Reference 35

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This paper cites Drcap: Decoding clap la- tents with retrieval-augmented generation for zero-shot audio captioning,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Drcap: Decoding clap la- tents with retrieval-augmented generation for zero-shot audio captioning,

Reference 36

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GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Recap: Retrieval-augmented audio captioning,

Reference 37

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Observation bb1880d1-975d-4e99-a0d1-a7e81a24ed96 · outbound

This paper cites Taming trans- formers for high-resolution image synthesis,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Taming trans- formers for high-resolution image synthesis,

Reference 38

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Observation d3b946b7-b0b0-4de8-97d5-7b797254fe81 · outbound

This paper cites Scaling autoregres- sive models for content-rich text-to-image generation,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Scaling autoregres- sive models for content-rich text-to-image generation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.417117Z

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Observation e219f080-c386-452f-822a-42ac4141a8d4 · outbound

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

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 40

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This paper cites Diffgap: A lightweight diffusion module in contrastive space for bridging cross-model gap,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Diffgap: A lightweight diffusion module in contrastive space for bridging cross-model gap,

Reference 41

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Observation 4f4e5aae-c4cb-42b8-a6b6-9372b5118a3b · outbound

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GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Classifier-free diffusion guid- ance,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.394149Z

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Observation 4c13215d-c5b0-477e-93b0-ffc46c719cc7 · outbound

This paper cites Scalable diffusion models with transformers,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Scalable diffusion models with transformers,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.382797Z

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Observation de74626a-dec7-42f2-a063-90920caaaff0 · outbound

This paper cites High- resolution image synthesis with latent diffusion mod- els,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models High- resolution image synthesis with latent diffusion mod- els,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.371444Z

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Observation 13dfd92f-3f0d-49b7-8b81-fcbcaf51db5e · outbound

This paper cites Moûsai: Text-to-music generation with long-context latent dif- fusion,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Moûsai: Text-to-music generation with long-context latent dif- fusion,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.360620Z

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Observation 6ab6ccb7-8f53-4f51-9dd4-6cbd33db5cfa · outbound

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GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Prompt tuning inver- sion for text-driven image editing using diffusion mod- els,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.349635Z

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Observation 7ebbc67f-4cba-4007-bc86-2bfb35b4a673 · outbound

This paper cites Prompt- to-prompt image editing with cross-attention control,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Prompt- to-prompt image editing with cross-attention control,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.338575Z

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Observation 674dd043-3c3e-4ee9-92af-b16bb6f579fa · outbound

This paper cites Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models

Reference 48

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This paper cites Re- paint: Inpainting using denoising diffusion probabilis- tic models,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Re- paint: Inpainting using denoising diffusion probabilis- tic models,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.327988Z

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This paper cites Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models

Reference 50

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Observation aaac58ee-a01f-48ab-840d-bdcec4884768 · outbound

This paper cites Musicmagus: zero-shot text-to-music editing via diffusion models,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Musicmagus: zero-shot text-to-music editing via diffusion models,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.316632Z

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Observation a23a3d75-0cc1-4a3f-8c6c-32480d72e054 · outbound

This paper cites Arrange, inpaint, and refine: steerable long-term music audio generation and editing via content-based controls,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Arrange, inpaint, and refine: steerable long-term music audio generation and editing via content-based controls,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.304947Z

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Observation c53b2878-8b42-493c-8a84-f74613426e0a · outbound

This paper cites Disentangled multidimensional metric learning for music similarity,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Disentangled multidimensional metric learning for music similarity,

Reference 53

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This paper cites Leave-one- equivariant: Alleviating invariance-related information loss in contrastive music representations,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Leave-one- equivariant: Alleviating invariance-related information loss in contrastive music representations,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.284123Z

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Observation c3cc4f80-4940-406e-b5db-a3cd8a0e2897 · outbound

This paper cites Similar but faster: manipulation of tempo in music audio em- beddings for tempo prediction and search,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Similar but faster: manipulation of tempo in music audio em- beddings for tempo prediction and search,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.271040Z

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This paper cites Diff4steer: Steer- able diffusion prior for generative music retrieval with semantic guidance,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Diff4steer: Steer- able diffusion prior for generative music retrieval with semantic guidance,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.260053Z

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Observation 88722465-4711-44b8-bae8-07200c7dae5d · outbound

This paper cites Supervised and unsupervised learning of audio rep- resentations for music understanding,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Supervised and unsupervised learning of audio rep- resentations for music understanding,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.248595Z

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Observation 3a46cb77-5f7a-4a53-b608-64c95446bd3e · outbound

This paper cites Hts-at: A hierarchical token-semantic audio transformer for sound classifica- tion and detection,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Hts-at: A hierarchical token-semantic audio transformer for sound classifica- tion and detection,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.237503Z

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Observation e09fd019-bde5-458f-a7c4-63588f14747b · outbound

This paper cites Scal- ing instruction-finetuned language models,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Scal- ing instruction-finetuned language models,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.226497Z

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Observation f3678114-786e-421f-9ec3-562e73a85f44 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:34.949482Z

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Observation bf07307b-39f4-4a4a-8397-b566ad248545 · outbound

This paper cites Mustango: Toward controllable text-to-music generation,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Mustango: Toward controllable text-to-music generation,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.213436Z

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Observation e3389da3-07c2-4683-90da-1719eff5af75 · outbound

This paper cites Simple and control- lable music generation,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Simple and control- lable music generation,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.201067Z

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Observation f61cfd5e-2cdf-469e-a0d7-1e7dad83e1d6 · outbound

This paper cites The song describer dataset: a corpus of audio captions for music-and- language evaluation,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models The song describer dataset: a corpus of audio captions for music-and- language evaluation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.188234Z

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Observation 801c08b4-f68e-482b-9241-0c7439a2cb24 · outbound

This paper cites MusicLM: Generating Music From Text.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models MusicLM: Generating Music From Text

Reference 64

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This paper cites Coco-dr: Combating distribution shifts in zero-shot dense retrieval with con- trastive and distributionally robust learning,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Coco-dr: Combating distribution shifts in zero-shot dense retrieval with con- trastive and distributionally robust learning,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.175628Z

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Observation 6751f474-cff9-488c-9565-b66aa8fc1ffb · outbound

This paper cites Selecting which dense retriever to use for zero-shot search,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Selecting which dense retriever to use for zero-shot search,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.164355Z

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Observation f1556d10-558e-4fcf-825b-abe4ad3dbff8 · outbound

This paper cites Test-time distribution nor- malization for contrastively learned visual-language models,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Test-time distribution nor- malization for contrastively learned visual-language models,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.152236Z

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Observation 8bdff5ed-6bff-4522-bad7-fc8d5382834b · outbound

This paper cites Correlation alignment for unsupervised domain adaptation,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models Correlation alignment for unsupervised domain adaptation,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.140764Z

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Observation 4c1bd7a4-d53e-4932-87e2-21397a6aec2c · outbound

This paper cites The Vendi Score: A Diversity Evaluation Metric for Machine Learning.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Reference 69

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Observation 56c9ca0a-23c0-4229-a8a3-cc2b3b3c4897 · outbound

This paper cites The mtg- jamendo dataset for automatic music tagging,.

GD-Retriever: Controllable Generative Text-Music Retrieval with Diffusion Models The mtg- jamendo dataset for automatic music tagging,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:35.128817Z

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Pith citing papers

Observation ed0920a8-c9d3-47c0-a97d-6fc1c8cfe3ae · inbound