Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T04:55:17.332539Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2602.03762.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T04:55:17.332539Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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
56 of 56 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation dcb018c5-9232-4a81-a9c8-8b5c8182fbc9 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
Reference 1
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Observation 08ea8b95-f93b-4af3-9784-02b2e185a856 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Diffusion-based unsupervised audio-visual speech enhancement
Reference 2
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Observation 19ca2430-ded3-471b-89c0-f7a67c50220d · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting D-Flow: Differentiating through Flows for Controlled Generation
Reference 3
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Observation f89b7e4e-0178-499c-b6f5-b0f3ed87aa35 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting LBM: Latent Bridge Matching for Fast Image-to-Image Translation
Reference 4
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Observation a4567355-30c9-4c85-b6b2-9ce257e9c62d · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites.Science China Information Sciences, 67(12):220101,
Reference 5
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Observation 83a732a9-6a78-4526-803b-3781a7c6fdaa · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Mmaudio: Taming multimodal joint training for high-quality video-to- audio synthesis
Reference 6
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Observation c99690fe-1d2d-460e-b6c9-a5130cd37165 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Samwise: Infusing wisdom in sam2 for text-driven video segmentation
Reference 7
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Observation 3ee101ae-a0ae-4677-839c-aa2058ef089c · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting CROME: Cross-Modal Adapters for Efficient Multimodal LLM
Reference 8
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Observation 1ad81d4e-55b3-46b5-a4ee-483eba98a371 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation
Reference 9
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Observation a78143f0-78d2-4b52-9ba6-bb9c1bffff07 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Visualvoice: Audio- visual speech separation with cross-modal consistency
Reference 10
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Observation 143aba14-314d-47ca-baef-0edf86a03602 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Imagebind: One embedding space to bind them all
Reference 11
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Observation 25ef3e7e-e350-43d7-9d91-fc5da5c7b93a · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Denoising dif- fusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020
Reference 12
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Observation f25a9529-024e-4e1c-a241-30dc4b7b91b0 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Davis: High-quality audio-visual separation with generative diffusion models
Reference 13
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Observation 7a27e098-c6e5-498e-8e75-4cb3cdfe25eb · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Learning to highlight audio by watching movies
Reference 14
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Observation 11cc946d-4341-43f8-a33e-dc0b241f76d7 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting High-quality sound separation across diverse categories via visually-guided generative modeling.arXiv preprint arXiv:2509.22063, 2025
Reference 15
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Observation 7e4996ba-7a04-43d0-aeaf-d7ec6b020c74 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Mu- sic mixing style transfer: A contrastive learning approach to disentangle audio effects
Reference 16
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Observation 4bb54ab7-7168-4529-8112-4002e8e33a81 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Efficient Training of Audio Transformers with Patchout
Reference 17
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Observation 7c76bbe8-888b-41d7-9408-841c3c8ccc79 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Seeing through the conversation: Audio-visual speech separation based on diffusion model
Reference 18
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Observation e2498842-f216-4347-84a1-d231f5a3a3c8 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Detecting mo- ments and highlights in videos via natural language queries
Reference 19
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Observation 4032d820-1c23-4e1b-b88f-adc2b083a3a4 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Storm: A diffusion-based stochastic regen- eration model for speech enhancement and dereverberation
Reference 20
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Observation 1325f259-c34c-4a88-902a-89b905692995 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Av-nerf: Learning neural fields for real-world audio-visual scene synthesis.Advances in Neural Informa- tion Processing Systems, 36:37472–37490, 2023
Reference 21
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Observation 5af4acf7-3558-434d-b64b-16e6e8c26f89 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Univtg: Towards unified video- language temporal grounding
Reference 22
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Observation bde8db0e-c462-420b-a5e4-81f68314e2d4 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Flow matching for generative mod- eling.ICLR, 2022
Reference 23
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Observation ec5615f8-feae-45b2-9ded-c61ff83b4433 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Let us Build Bridges: Understanding and Extending Diffusion Generative Models
Reference 24
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Observation 15152251-b812-44af-86a0-8634980cf528 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Umt: Unified multi-modal transformers for joint video moment retrieval and highlight detection
Reference 25
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Observation c5eb4f62-7979-4937-bd29-6a3a0031149f · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Multi-Source Diffusion Models for Simultaneous Music Generation and Separation
Reference 26
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Observation 2aaf0f95-2f27-453f-97de-f7c52ae69e47 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Deep learning for black-box modeling of audio effects.Applied Sciences, 10(2):638, 2020
Reference 27
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Observation 27f79caa-f928-4cbe-936e-a2e2eef9de04 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting On discriminative vs
Reference 28
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Observation a6282e1a-01ce-4ad4-baba-6c29edad9be9 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Elucidating the Exposure Bias in Diffusion Models
Reference 29
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Observation 9ddd07c8-a515-4eaf-b561-b5ec4802fcd3 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Movie Gen: A Cast of Media Foundation Models
Reference 30
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Observation dd8812b6-b87c-4afe-817e-5aef23f19540 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Learning transferable visual models from natural language supervi- sion
Reference 31
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Observation 592b5884-4994-487d-ae83-9357c62d0de2 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, 21(140):1–67, 2020
Reference 32
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Observation 2e9a38d3-88af-41b0-a582-42c43f24a9f0 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Model- ing nonlinear audio effects with end-to-end deep neural net- works
Reference 33
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Observation 288dfbfc-eaa4-4799-aec9-1c05ecc2283f · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Sequence level training with recurrent neural networks
Reference 34
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Observation 93ab2f1e-aa85-41d0-a44b-e80d6cfb9217 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Hybrid transformers for music source separation
Reference 35
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Observation 197db680-9a1e-48f8-93be-37fa82b8cf1a · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Source Separation by Flow Matching
Reference 36
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Observation fa012a8f-be05-4833-bb6f-42ea517e43be · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Physical modeling using recurrent neu- ral networks with fast convolutional layers
Reference 37
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Observation c630fc7d-8219-4c77-ac26-309a4281b438 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Improved techniques for training consistency models.ICLR, 2024
Reference 38
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Observation ebdabe01-dbd0-4a2e-b301-fceaabf8fcd4 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Consistency models.ICLR, 2023
Reference 39
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Observation d891c011-1753-437d-b09c-2cda18d979d6 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Style Transfer of Audio Effects with Differentiable Signal Processing
Reference 40
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Observation f18f7a01-4fde-4a93-9624-9b5b3f9bc50b · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting AudioX: A Unified Framework for Anything-to-Audio Generation
Reference 41
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Observation f6ab1385-76bb-4a28-ac5f-a7c752010573 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Improving and generalizing flow-based generative models with minibatch optimal transport
Reference 42
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Observation 12509606-6a23-48f7-9f45-9512df7e4ff0 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Diff-MST: Differentiable Mixing Style Transfer
Reference 43
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Observation aea663de-c192-4579-b61b-aa59a341e6c3 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Self-Consistency Improves Chain of Thought Reasoning in Language Models
Reference 44
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Observation ef11026f-595f-4d30-ae2f-30c670372a06 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting A generalized band- split neural network for cinematic audio source separation
Reference 45
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Observation b9dd051e-3f3e-48d6-bbcb-ccb401d3e7fb · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Chain-of-thought prompting elicits reasoning in large lan- guage models.Advances in neural information processing systems, 35:24824–24837, 2022
Reference 46
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Observation 05f88f90-8aa9-4455-be9e-d7dc700f3c89 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting FlowDec: A flow-based full-band general audio codec with high perceptual quality
Reference 47
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Observation afc3ee98-8ab6-4c6c-bf36-a2c85a489682 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Large-scale con- trastive language-audio pretraining with feature fusion and keyword-to-caption augmentation
Reference 48
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Observation 6721cc05-3066-4c0e-88c3-2c24cb29a106 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Visually informed binaural au- dio generation without binaural audios
Reference 49
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Observation ec389530-180e-4dca-bab1-8d74577351a9 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting The sound of pixels
Reference 50
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Observation 2caee42c-1691-4b03-9001-0b39b5981904 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Table 5 presents the results obtained on this variant of the dataset
Reference 51
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Observation f330bd86-2e44-4b8f-8974-bc84a5b27041 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Unresolved cited work
Reference 52
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Observation 16b6620d-24dc-48b5-86e1-864cdc738dcc · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Unresolved cited work
Reference 53
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Observation a1b604da-29fa-4b7a-8bd0-9fb6722788e3 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting However, when its contribution becomes too dominant, the trajectories exhibit non-linear behavior again
Reference 54
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Observation d74ba8d7-358e-42fc-90e9-6285000803a9 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting The rollout loss allows more consistent predictions across steps, resulting in more highlighted sources
Reference 55
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Observation c82e4946-497c-4455-b200-dfdeacfc13d7 · outbound
Conditional Flow Matching for Visually-Guided Acoustic Highlighting Future work should evaluate the model on real-world data once such datasets become available
Reference 56
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No inbound Pith citation observations are available.