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Paper Citation Record · LEDGER

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction

As of 23 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2507.09806.

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

pith.paper-citation-record.v1
2507.09806 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

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measured 45 of 45 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd6a2b12-2fc7-427a-8c2b-945ef6cab2d7 · outbound

This paper cites Virtual reality for architectural acoustics,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Virtual reality for architectural acoustics,

Reference 1

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Observation 5c19760c-a0a9-4690-b843-06458d49a9d1 · outbound

This paper cites A survey of sound source localization methods in wireless acoustic sensor networks,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction A survey of sound source localization methods in wireless acoustic sensor networks,

Reference 2

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Observation 238a0f15-0da8-46ad-82c4-ea096693fc7f · outbound

This paper cites Acoustic source localization in the spherical harmonics domain exploiting low-rank approximations,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Acoustic source localization in the spherical harmonics domain exploiting low-rank approximations,

Reference 3

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Observation 45ee47b5-308d-4985-aa08-f75179e4893a · outbound

This paper cites A consoli- dated perspective on multimicrophone speech enhancement and source separation,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction A consoli- dated perspective on multimicrophone speech enhancement and source separation,

Reference 4

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Observation 6adef1e1-9757-48be-a957-a00b3113521e · outbound

This paper cites Acoustic imaging with circular microphone array: A new approach for sound field analysis,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Acoustic imaging with circular microphone array: A new approach for sound field analysis,

Reference 5

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Source-reported events for the cited work

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Observation 9828bb39-863e-4194-af52-e6847eaffb57 · outbound

This paper cites Para- metric ambisonic encoding of arbitrary microphone arrays,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Para- metric ambisonic encoding of arbitrary microphone arrays,

Reference 6

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Observation df89b777-8391-4b7a-9128-e03fae269f38 · outbound

This paper cites Deep, data-driven modeling of room acoustics: literature review and research perspectives,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Deep, data-driven modeling of room acoustics: literature review and research perspectives,

Reference 7

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Source-reported events for the cited work

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Observation e37cee3a-fdb8-4c47-bbb5-c965ca5b557c · outbound

This paper cites Sound field reconstruction in rooms: Inpainting meets super-resolution,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Sound field reconstruction in rooms: Inpainting meets super-resolution,

Reference 8

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Observation f3f12bf6-f008-417c-b9c2-e706644270f9 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 9

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Observation 5dae913c-53fc-42d3-8b60-d1945e2d3f86 · outbound

This paper cites Scientific machine learning through physics–informed neural networks: where we are and what’s next,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Scientific machine learning through physics–informed neural networks: where we are and what’s next,

Reference 10

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Observation 607cae36-9cd3-40d7-bf4c-3233f24c38bf · outbound

This paper cites Koyama, J.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Koyama, J

Reference 11

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Observation 5d60b0ef-4ca1-4c2b-84c4-8e0dfae1860c · outbound

This paper cites Physics- informed convolutional neural network with bicubic spline interpolation for sound field estimation,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Physics- informed convolutional neural network with bicubic spline interpolation for sound field estimation,

Reference 12

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Source-reported events for the cited work

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Observation ec7946d1-2ce6-4d12-ba42-14b1fc93f9e7 · outbound

This paper cites Physics-informed neural network for volumetric sound field reconstruction of speech signals,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Physics-informed neural network for volumetric sound field reconstruction of speech signals,

Reference 13

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Observation e5ebb8f1-b5f0-4ec9-94ba-964a66570582 · outbound

This paper cites Point neuron learning: a new physics- informed neural network architecture,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Point neuron learning: a new physics- informed neural network architecture,

Reference 14

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Observation bfb04bf6-7749-4948-86dd-d0115d193edb · outbound

This paper cites Room impulse response reconstruction with physics-informed deep learning.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Room impulse response reconstruction with physics-informed deep learning

Reference 15

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Observation 0910b27e-867c-4e1f-8878-295ccb14b751 · outbound

This paper cites Physics-informed neural network assisted spherical microphone array signal processing,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Physics-informed neural network assisted spherical microphone array signal processing,

Reference 16

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Observation 1fad824c-1757-41b1-b1e2-37adffd0abaa · outbound

This paper cites Generative models for sound field reconstruction,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Generative models for sound field reconstruction,

Reference 17

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Observation d5ba4700-b1d8-4848-bf7d-f24b5b4b4eb7 · outbound

This paper cites Generative adversarial networks with physical sound field priors,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Generative adversarial networks with physical sound field priors,

Reference 18

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Observation c17bf63e-259c-4b30-8f2d-5bb3fcad87b6 · outbound

This paper cites Denoising diffusion probabilistic models,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Denoising diffusion probabilistic models,

Reference 19

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Source-reported events for the cited work

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Observation 79412af3-ef4d-4b1e-9066-8712110a922e · outbound

This paper cites Diffusion models for audio restoration: A review,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Diffusion models for audio restoration: A review,

Reference 20

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Observation e74bd024-edb0-4333-958d-39bf63009de6 · outbound

This paper cites Buddy: Single-channel blind unsupervised dereverberation with diffusion models,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Buddy: Single-channel blind unsupervised dereverberation with diffusion models,

Reference 21

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Observation be073fb9-ee01-4495-9897-363dbcbd220d · outbound

This paper cites Towards hrtf personalization using denoising diffusion models,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Towards hrtf personalization using denoising diffusion models,

Reference 22

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Observation 8815cfbf-36ad-4586-8bf8-f1a945fa6c31 · outbound

This paper cites Hrtf estimation using a score-based prior,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Hrtf estimation using a score-based prior,

Reference 23

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Observation 7da6e6b7-7926-4cf7-a488-f31f119d6665 · outbound

This paper cites Diffusion-based audio inpainting,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Diffusion-based audio inpainting,

Reference 24

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Observation c4eeb11b-1a6e-4f00-b2b9-4e6a7a190b87 · outbound

This paper cites Reconstruction of sound field through diffusion models,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Reconstruction of sound field through diffusion models,

Reference 25

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Observation 74ee2d81-9483-4a12-bedf-23ebb7ad52b8 · outbound

This paper cites Blind spatial impulse response generation from separate room-and scene-specific information,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Blind spatial impulse response generation from separate room-and scene-specific information,

Reference 26

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Observation 3a423599-2241-4533-9135-317ce0de8f71 · outbound

This paper cites Diffusionrir: Room impulse response interpolation using diffusion models,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Diffusionrir: Room impulse response interpolation using diffusion models,

Reference 27

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Source-reported events for the cited work

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Observation fac17ba4-cf5a-42fd-838c-2717f138824b · outbound

This paper cites Deep image prior,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Deep image prior,

Reference 28

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Observation b7deaa07-9177-4f9b-8736-85366a0ac4ab · outbound

This paper cites Deep prior-based unsupervised reconstruction of irregularly sampled seismic data,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Deep prior-based unsupervised reconstruction of irregularly sampled seismic data,

Reference 29

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Source-reported events for the cited work

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Observation 16093ebc-61a9-4bcd-b949-de0781e0a585 · outbound

This paper cites Prediction of missing frequency response functions through deep image prior,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Prediction of missing frequency response functions through deep image prior,

Reference 30

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Source-reported events for the cited work

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Observation 68ce17cf-a707-49ee-8732-70a85337d0a8 · outbound

This paper cites Deep prior-based audio inpainting using multi-resolution harmonic convolutional neural networks,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Deep prior-based audio inpainting using multi-resolution harmonic convolutional neural networks,

Reference 31

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Source-reported events for the cited work

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Observation ef88d8e8-aea9-48b2-8715-bc414c3a8243 · outbound

This paper cites Noise2inverse: Self-supervised deep convolutional denoising for tomography,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Noise2inverse: Self-supervised deep convolutional denoising for tomography,

Reference 32

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Source-reported events for the cited work

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Observation 1f9eded1-06c7-4386-b2df-3939f087ab33 · outbound

This paper cites Deep prior approach for room impulse response reconstruction,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Deep prior approach for room impulse response reconstruction,

Reference 33

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Source-reported events for the cited work

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Observation fcb86a27-fca9-42a1-b7f7-e5e9e9f9abb9 · outbound

This paper cites Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities,

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 2026-08-23T06:30:58.430688+00:00.

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Observation c9e37b5b-76ab-4a00-a075-f9925f2c1cff · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Lora: Low-rank adaptation of large language models

Reference 35

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no resolver link, observed 2026-08-06T17:51:08.563524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:08.563524Z digest=sha256:32798ecd546cd69611fa45eafa70cdede15d8647dcc35fac27811d072c16a3be

Observation 036418c8-8944-44a9-bbfd-1bfa7ddb6d8b · outbound

This paper cites Niirf: Neural iir filter field for hrtf upsampling and personalization,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Niirf: Neural iir filter field for hrtf upsampling and personalization,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:08.797094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:51:08.567672Z digest=sha256:41755cd49430ee3f6ec4cd4f459675f87a5c5ce4e7770fc8dd83463f396f0c48

Observation 6be5d135-bdec-4a39-a0ea-f88c082bd9fe · outbound

This paper cites Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Direction-Aware Neural Acoustic Fields for Few-Shot Interpolation of Ambisonic Impulse Responses

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:08.571827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:08.571827Z digest=sha256:340ca1887db0c02e6d6c686ebf202991781eec276937264254e8021f29d34ab1

Observation 6544d8e2-2aca-4953-ac27-bbcc7bb3bb29 · outbound

This paper cites Sparse representation of a spatial sound field in a reverberant environment,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Sparse representation of a spatial sound field in a reverberant environment,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:08.782704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:51:08.576335Z digest=sha256:fc25123857f50a380a6742ee63e4568518b630b3c9d74fe52858099eedb81803

Observation 94a7dd72-b186-4a78-bcb1-07e2a356a58a · outbound

This paper cites Kernel interpolation of acoustic transfer functions with adaptive kernel for directed and residual reverberations,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Kernel interpolation of acoustic transfer functions with adaptive kernel for directed and residual reverberations,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:08.767717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:51:08.580316Z digest=sha256:64c1989466dbe3a23094e066d7d7224083ede39d6168bec6b0410ec3b84e6052

Observation acd328ef-9795-4d7c-b2c9-1c20ad6d68f2 · outbound

This paper cites A zero-shot physics-informed dictionary learning approach for sound field reconstruction,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction A zero-shot physics-informed dictionary learning approach for sound field reconstruction,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:08.753339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:51:08.584266Z digest=sha256:828cd7df4a67e1c7077dcf4419eafca439a8b385490309e2a15df53e5a5a2841

Observation 5b958a90-74e3-4bf1-8b78-64ada08143f4 · outbound

This paper cites LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:08.588233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:08.588233Z digest=sha256:256d65b2fbeed6297907a20dd6b6e7932f444449c6e55d4ec3902a4a8390e407

Observation 36104c85-8b74-403b-81c8-d36fa1b94815 · outbound

This paper cites Multiresunet : Rethinking the u-net architecture for multimodal biomedical image segmentation,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Multiresunet : Rethinking the u-net architecture for multimodal biomedical image segmentation,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:08.739686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:51:08.592895Z digest=sha256:99d3e510b308fa8a3d6b92589b64c99ec1936d46d7ed95cfb361d028420cd7b8

Observation 8e3e05e5-089b-4eaf-965f-2053ac0a78ea · outbound

This paper cites Decoupled Weight Decay Regularization.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Decoupled Weight Decay Regularization

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:08.596909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:51:08.596909Z digest=sha256:eeef9652eeef3b4aceb8af338d3cc309604d326ce198dea4449430eb34482c30

Observation 65eb0c5a-96eb-4b03-a5b6-7308b908a9a8 · outbound

This paper cites Ray-space-based multichannel nonnegative matrix factorization for audio source separation,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Ray-space-based multichannel nonnegative matrix factorization for audio source separation,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:08.724964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:51:08.601319Z digest=sha256:813c53ef144f67a6ab5bb2cd0a06f86d7cc7f61b041fa7f0603116d237a67d78

Observation 550b7036-1a50-4f15-977b-c5f0f4f8c14b · outbound

This paper cites Compressed sensing of impulse responses in rooms of unknown properties and contents,.

Low-Rank Adaptation of Deep Prior Neural Networks For Room Impulse Response Reconstruction Compressed sensing of impulse responses in rooms of unknown properties and contents,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:51:08.710178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:51:08.605262Z digest=sha256:ecae2951c9ed77062dc9304fc6427c2a70ef31bbd05ba97746f4f3eaf8517c76

Pith citing papers

No inbound Pith citation observations are available.