Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T13:30:06.019318Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 1 inbound Pith citation observation for arXiv:2510.00180.
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 2026-08-04T13:30:06.019318Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T13:30:01.827179Z
A source-named dated measurement, never combined with another source.
Source: cited_works
33 of 33 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation ac95aa7b-bf7c-417b-8bff-ef0ac48b53dd · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling DiffAU: Diffusion-Based Ambisonics Upscaling
Reference 1
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Observation 6b60b944-be5b-482a-8e7c-43f2d9c80db5 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Signal Model and Ambisonics Consider a sound field composed ofQplane waves with directions of arrival (DOAs)(θ q, ϕq),q∈ {1,
Reference 2
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Observation 6d6e5589-746d-4ced-b82a-54153207a786 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling However, applying this methodology to AU is not straightforward, and existing image super-resolution methods do not directly transfer to audio
Reference 3
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Observation d0f2b212-af39-4640-8061-de88cdbb3356 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Data: We constructed a dataset based on the WSJ0 corpus [24]
Reference 4
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Observation 377cc158-4416-4286-bd5c-d2a86765a35b · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling The subscript(5 : 16) indicates the channels used, and∥ · ∥F is the Frobenius norm
Reference 5
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Unavailable: canonical work link unavailable.
Observation 8056bd32-0286-4424-92f5-993b76c38cd5 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling The formal listening test aimed to assess whether DiffAU introduced subtle audible artifacts potentially undetectable by error metrics
Reference 6
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Observation 12a70ab4-ea13-462c-81b2-c8c1894cf69f · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling By leveraging diffusion models to sample from the posterior distribution, DiffAU addresses the inherent underdetermined nature of theAU problem
Reference 7
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Unavailable: canonical work link unavailable.
Observation b60d154a-b56a-4c1b-b498-617b51839411 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Perceptual spatial audio recording, simulation, and rendering: An overview of spatial-audio techniques based on psychoacoustics,
Reference 8
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Observation 9e1c072f-f09c-4112-9a47-975ecefaf347 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Zotter and M
Reference 9
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Observation e6038c65-1fb9-48a4-bf01-cb88af7890f8 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling The design of precisely coincident microphone arrays for stereo and surround sound,
Reference 10
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Observation 71f622db-6eff-478d-b7e2-692bfdca7646 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Further investigations of high-order ambisonics and wavefield synthesis for holophonic sound imaging,
Reference 11
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Observation 8bd57bdd-9a3b-4798-a66d-69a525eae253 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling A frequency-domain algorithm to upscale ambisonic sound scenes,
Reference 12
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Observation dbd6f633-b8f8-48f3-9772-25fb8b5f97fd · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Sparse plane-wave decomposition for upscaling ambisonic signals,
Reference 13
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Observation 04e0ccbf-b508-46d3-bece-c62aea818bd7 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Upscaling ambisonic sound scenes using compressed sensing techniques,
Reference 14
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Observation 902fc3c3-db89-46fe-bea3-4953d73b3468 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Sparse DNN model for frequency expanding of higher order ambisonics encoding process,
Reference 15
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Observation 8498be5b-a09f-42a5-8a59-52bcaa74c0de · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Deep-sound field analysis for upscaling ambisonic signals,
Reference 16
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Unavailable: canonical work link unavailable.
Observation 2be43224-a374-4d3c-8eda-e97f17f247ea · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Ambisonics super-resolution using a waveform-domain neural network,
Reference 17
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Observation bbc41f20-3cc1-4911-b6bc-f2584bf49d47 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Conv-tasnet: Surpassing ideal time–frequency magnitude masking for speech separation,
Reference 18
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Observation 370732e7-7fe2-407e-b8e4-95f06b02c00e · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Rafaely,Fundamentals of spherical array processing
Reference 19
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Observation dda6f5d6-aebd-4fbb-b35e-3e2e1ff6a38c · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling The application of compressive sampling to the analysis and synthesis of spatial sound fields,
Reference 20
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Observation 14438e95-59e3-470b-86c8-c9a42e3a452b · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Generative modeling by estimating gradients of the data distribution,
Reference 21
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Observation fa560f9b-b495-4e32-b3d3-ead7430c40e8 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Score-Based Generative Modeling through Stochastic Differential Equations
Reference 22
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Observation d11c470e-c5ba-4b91-b4d2-ac45bc6ee36f · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Reverse-time diffusion equation models,
Reference 23
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Observation 72ccc777-653e-42e6-91b1-3f3715f0cbc2 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Cascaded diffusion models for high fidelity image generation,
Reference 24
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Observation d8a724fe-7895-4bb4-af9d-f754a58eb5d2 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Diffusion models, image super- resolution, and everything: A survey,
Reference 25
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Observation 339038b0-f529-4361-833c-eb1371a688ae · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Image super-resolution via iterative refinement,
Reference 26
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Observation 32e7c7fb-255d-4f30-8d2d-70cc709bf573 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Speech enhancement and dereverberation with diffusion-based generative models,
Reference 27
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Observation 2bfa6b87-2d53-4e89-940e-6e095e68c65c · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling EDSep: An Effective Diffusion-Based Method for Speech Source Separation
Reference 28
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Observation ee91f14d-63b7-461d-b648-76ff5d1ca735 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling A connection between score matching and denoising autoencoders,
Reference 29
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Observation 605e1d64-ba19-442a-a6ba-02eae22c7b77 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling AI-aided annealed langevin dynamics for rapid optimization of programmable channels,
Reference 30
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Observation e2e19752-ca59-4f9c-92f4-7c77108c8a6c · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling CSR-I (WSJ0) complete,
Reference 31
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Observation 209df881-facb-4be7-923f-4936ee2390f6 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Method for the subjective assessment of intermediate quality level of audio systems,
Reference 32
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Observation 73c0b316-e42d-469a-980d-0026ac373635 · outbound
DiffAU: Diffusion-Based Ambisonics Upscaling Spatial perception of sound fields recorded by spherical microphone arrays with varying spatial resolution,
Reference 33
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Observation ac95aa7b-bf7c-417b-8bff-ef0ac48b53dd · inbound
DiffAU: Diffusion-Based Ambisonics Upscaling DiffAU: Diffusion-Based Ambisonics Upscaling
Reference 1
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