Paper Citation Record · LEDGER

A novel method and dataset for depth-guided image deblurring from smartphone Lidar

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2509.09241.

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

pith.paper-citation-record.v1
2509.09241 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:29:20.964901Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:29:18.376998Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy0
unresolved34
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd1614d2-6af8-4255-877a-b0573de60898 · outbound

This paper cites A novel method and dataset for depth-guided image deblurring from smartphone Lidar.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar A novel method and dataset for depth-guided image deblurring from smartphone Lidar

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:18.376998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2e2ac83-c7b3-41db-91f1-8541597e4d75 · outbound

This paper cites Several solutions have been developed over the years, including optimization- based methods carefully modeling priors suitable to describe natural images.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Several solutions have been developed over the years, including optimization- based methods carefully modeling priors suitable to describe natural images

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:18.413599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e152b56-fcce-4bfe-828e-09fca794ded6 · outbound

This paper cites an unresolved cited work.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:18.508505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 659032b5-0588-4354-852f-02f1ed88a3a9 · outbound

This paper cites In particular, the only existing dataset with paired smartphone images and Lidar depth maps captured by the same device is ARKitScenes [3].

A novel method and dataset for depth-guided image deblurring from smartphone Lidar In particular, the only existing dataset with paired smartphone images and Lidar depth maps captured by the same device is ARKitScenes [3]

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:18.610062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8c6755b-eca2-4106-8db1-66e5274c86bd · outbound

This paper cites zero-shot.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar zero-shot

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:18.703354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7f361a6-89a3-473c-9777-86de621682b5 · outbound

This paper cites an unresolved cited work.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:18.780194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46746de1-39e6-406a-b110-8f795b5c1c8e · outbound

This paper cites Lidar depth map guided image compression model,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Lidar depth map guided image compression model,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:18.879612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f779322-198f-4630-b6d3-ea6831362565 · outbound

This paper cites Deep Lidar-guided Image Deblurring.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Deep Lidar-guided Image Deblurring

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:18.963377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2299b82c-cb26-4606-9e6d-abd85811a458 · outbound

This paper cites ARKitscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB-d data,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar ARKitscenes - a diverse real-world dataset for 3d indoor scene understanding using mobile RGB-d data,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:19.035155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7198721-810f-4ebe-9aaa-8fcc2dc4f2ed · outbound

This paper cites Plug-and-play methods for integrating physical and learned models in computational imaging: The- ory, algorithms, and applications,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Plug-and-play methods for integrating physical and learned models in computational imaging: The- ory, algorithms, and applications,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:19.165752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5ad0821-102e-48e5-9640-004ce1a2866c · outbound

This paper cites Auto-Encoding Variational Bayes.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Auto-Encoding Variational Bayes

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:19.229322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed99b804-143c-471f-96f6-e63534c0575a · outbound

This paper cites Generative adversarial nets,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Generative adversarial nets,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:19.333704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37b045e8-6a42-4dc0-add7-c1a168620dba · outbound

This paper cites Generative modeling by esti- mating gradients of the data distribution,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Generative modeling by esti- mating gradients of the data distribution,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:19.390219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32249ed5-c090-4024-af99-3b1086a9bc64 · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Restormer: Efficient transformer for high-resolution image restoration,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:19.473008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8de307ba-3af6-4118-9229-1c7e80b24e03 · outbound

This paper cites Simple baselines for image restoration,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Simple baselines for image restoration,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:19.536197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f47a7d2-5979-4e88-8ff6-5994243e388d · outbound

This paper cites Blind motion deblurring with pixel-wise kernel esti- mation via kernel prediction networks,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Blind motion deblurring with pixel-wise kernel esti- mation via kernel prediction networks,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:19.587454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 027e8ee7-a221-4099-9a3e-8f3108229f5c · outbound

This paper cites Pulse: Self-supervised photo upsampling via latent space exploration of generative models,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Pulse: Self-supervised photo upsampling via latent space exploration of generative models,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:19.649728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba3e9074-9b48-4e43-85f5-1f34c6539413 · outbound

This paper cites Deblurgan: Blind motion deblurring using conditional adversarial networks,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Deblurgan: Blind motion deblurring using conditional adversarial networks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:19.710809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6986eef7-be36-4bc0-a6db-21edebf1194c · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:19.767629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12377fd1-7ad5-4a5e-9a51-c66cdd710411 · outbound

This paper cites Denoising diffusion restoration models,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Denoising diffusion restoration models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:19.856258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aa11d77-4d43-4091-8b69-08a00007041d · outbound

This paper cites Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:19.967182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cef12605-c0a8-40e9-8572-69aad7ec2345 · outbound

This paper cites Denoising diffusion models for plug-and-play image restoration,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Denoising diffusion models for plug-and-play image restoration,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:20.017337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dbca159-fe0a-4400-a4a8-f7e7b5b5f0e3 · outbound

This paper cites Solving linear in- verse problems provably via posterior sampling with latent dif- fusion models,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Solving linear in- verse problems provably via posterior sampling with latent dif- fusion models,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:20.068189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c81fae8-16da-41e1-8e40-bcdb6079b30e · outbound

This paper cites Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:20.154382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8f9a406-6f6f-4096-a090-481c1bea25d2 · outbound

This paper cites Guided image fil- tering,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Guided image fil- tering,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:20.218310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6398f1be-a140-4a73-ae44-765d91d292ec · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Adding conditional control to text-to-image diffusion models,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:20.288440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bbcecd4-871f-407c-a345-cfde1bdd4dd9 · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar U- net: Convolutional networks for biomedical image segmen- tation,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:20.380541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53b2e16a-2aa7-4b14-99d1-08052315ee60 · outbound

This paper cites an unresolved cited work.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:20.463705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec1926a7-d805-43e0-ad8c-3132d396cc6d · outbound

This paper cites Denoising Diffusion Implicit Models,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Denoising Diffusion Implicit Models,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:20.547616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7480c98-46d4-4b96-abed-646495c19734 · outbound

This paper cites High-resolution image synthe- sis with latent diffusion models,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar High-resolution image synthe- sis with latent diffusion models,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:20.634294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fb45222-31cd-474b-ad9d-4a01696b219a · outbound

This paper cites Neural discrete representation learning,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Neural discrete representation learning,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:20.716332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03ae2b06-a2ef-4a3b-b9f0-b349c9fa8e41 · outbound

This paper cites The unreasonable effectiveness of deep fea- tures as a perceptual metric,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar The unreasonable effectiveness of deep fea- tures as a perceptual metric,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:20.801339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2ced703-8af2-4cf7-afb6-d9e3a0805fd0 · outbound

This paper cites Aligning Text-to-Image Diffusion Models with Reward Backpropagation.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Aligning Text-to-Image Diffusion Models with Reward Backpropagation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:20.881918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cc8a796-7cd9-4ce3-8d62-013a5fe23cb9 · outbound

This paper cites Memory-efficient backpropagation through time,.

A novel method and dataset for depth-guided image deblurring from smartphone Lidar Memory-efficient backpropagation through time,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T19:29:20.964901Z

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Pith citing papers

Observation cd1614d2-6af8-4255-877a-b0573de60898 · inbound