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Paper Citation Record · LEDGER

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging

As of 18 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2511.12024.

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

pith.paper-citation-record.v1
2511.12024 v3

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measured 42 of 42 reference resolution

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42 of 42 outbound references displayed

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Outbound references

Observation eee74e96-caf6-403e-a621-07cac37b7e29 · outbound

This paper cites Anderson.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Anderson

Reference 1

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Observation d4359c81-5d06-47cf-a80e-1e7c5b930386 · outbound

This paper cites Barthelmy, Louis M.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Barthelmy, Louis M

Reference 2

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Observation 1dee6d80-5148-4256-a7c3-39da35c7843f · outbound

This paper cites One-step offline distillation of diffusion- based models via koopman modeling, 2025.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging One-step offline distillation of diffusion- based models via koopman modeling, 2025

Reference 3

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Observation 7283bba2-db93-4734-8772-e791a9ce17d2 · outbound

This paper cites Coskun, and Aydo- gan Ozcan.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Coskun, and Aydo- gan Ozcan

Reference 4

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Observation 1cac7309-7313-47bd-94e7-d98367d2c41d · outbound

This paper cites Robinson, Laura Waller, and Ashok Veeraraghavan.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Robinson, Laura Waller, and Ashok Veeraraghavan

Reference 5

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Observation ed14e679-3cef-44e4-8d52-1b53dfa3c73d · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Distributed optimization and statistical learning via the alternating direction method of multipliers

Reference 6

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Observation 39489df6-a669-476c-a1ab-f2c87790bb41 · outbound

This paper cites Phocolens: Photorealistic and consis- tent reconstruction in lensless imaging.NeurIPS, 37:12219– 12242, 2024.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Phocolens: Photorealistic and consis- tent reconstruction in lensless imaging.NeurIPS, 37:12219– 12242, 2024

Reference 7

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Observation 34a1ff78-f697-414a-bd12-9f382c222010 · outbound

This paper cites Caroli, J.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Caroli, J

Reference 8

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Observation 310ac14e-3c6e-4e2e-8db8-74763571fafc · outbound

This paper cites Improving diffusion models for inverse prob- lems using manifold constraints.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Improving diffusion models for inverse prob- lems using manifold constraints

Reference 9

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Observation e6c26bdc-c2e5-44a7-91cb-2a74a914a126 · outbound

This paper cites Parallel diffusion models of operator and image for blind inverse problems.CVPR, 2023.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Parallel diffusion models of operator and image for blind inverse problems.CVPR, 2023

Reference 10

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Observation 90e65e3d-3e25-4488-80d4-bebbe1981580 · outbound

This paper cites Diffusion pos- terior sampling for general noisy inverse problems.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Diffusion pos- terior sampling for general noisy inverse problems

Reference 11

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Observation 4d22d022-27b8-4e4c-a681-fdb048fdc499 · outbound

This paper cites Direct diffusion bridge using data consistency for inverse problems.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Direct diffusion bridge using data consistency for inverse problems

Reference 12

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Observation 5d8549f5-3735-4af5-a8bc-b5eb9a43b920 · outbound

This paper cites Diffusion models beat gans on image synthetis.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Diffusion models beat gans on image synthetis

Reference 13

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Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Unresolved cited work

Reference 14

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This paper cites Denoising dif- fusion probabilistic models.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Denoising dif- fusion probabilistic models

Reference 15

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This paper cites A style-based generator architecture for generative adversarial networks.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging A style-based generator architecture for generative adversarial networks

Reference 16

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Observation 5cd27dc1-973b-403f-bdf9-ad9180eaebcf · outbound

This paper cites Flatnet: Towards photorealistic scene reconstruction from lensless measure- ments.IEEE TPAMI, 44(4):1934–1948, 2022.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Flatnet: Towards photorealistic scene reconstruction from lensless measure- ments.IEEE TPAMI, 44(4):1934–1948, 2022

Reference 17

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Observation a9f46388-b8a5-4434-adfb-6a6d96b26f41 · outbound

This paper cites Flowdps : Flow-driven posterior sampling for inverse prob- lems.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Flowdps : Flow-driven posterior sampling for inverse prob- lems

Reference 18

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Observation 7a192929-2419-4864-ac96-43bf8314c924 · outbound

This paper cites Unrolled primal-dual networks for lensless cameras.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Unrolled primal-dual networks for lensless cameras

Reference 19

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Observation e717837d-eb24-4b5e-8098-8e59c0c6b6fc · outbound

This paper cites On-chip fluorescence microscopy with a random microlens diffuser.Opt.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging On-chip fluorescence microscopy with a random microlens diffuser.Opt

Reference 20

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This paper cites Video diffusion posterior sampling for seeing beyond dynamic scattering layers.IEEE TPAMI, 47(12):11152–11167, 2025.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Video diffusion posterior sampling for seeing beyond dynamic scattering layers.IEEE TPAMI, 47(12):11152–11167, 2025

Reference 21

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This paper cites Lens- less camera: Unraveling the breakthroughs and prospects.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Lens- less camera: Unraveling the breakthroughs and prospects

Reference 22

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This paper cites Latent consistency models: Synthesizing high- resolution images with few-step inference, 2023.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Latent consistency models: Synthesizing high- resolution images with few-step inference, 2023

Reference 23

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This paper cites LCM-LoRA: A Universal Stable-Diffusion Acceleration Module.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

Reference 24

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Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging On distillation of guided diffusion models

Reference 25

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This paper cites Learned recon- structions for practical mask-based lensless imaging.Opt.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Learned recon- structions for practical mask-based lensless imaging.Opt

Reference 26

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This paper cites Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance

Reference 27

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This paper cites Solving linear inverse problems provably via posterior sampling with latent diffusion models.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Solving linear inverse problems provably via posterior sampling with latent diffusion models

Reference 28

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This paper cites Rudin, Stanley Osher, and Emad Fatemi.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Rudin, Stanley Osher, and Emad Fatemi

Reference 29

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Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Progressive distillation for fast sampling of diffusion models

Reference 30

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Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Adversarial diffusion distillation

Reference 31

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Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Unresolved cited work

Reference 32

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Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Unresolved cited work

Reference 33

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This paper cites Pseudoinverse-guided diffusion models for inverse problems.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Pseudoinverse-guided diffusion models for inverse problems

Reference 34

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This paper cites Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Kingma, Ab- hishek Kumar, Stefano Ermon, and Ben Poole

Reference 35

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Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Consistency models

Reference 36

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This paper cites Ubertini, F.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Ubertini, F

Reference 37

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Observation 24673b6a-f56f-499a-a7d5-5aec8cdfcd23 · outbound

This paper cites Zero-shot im- age restoration using denoising diffusion null-space model.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Zero-shot im- age restoration using denoising diffusion null-space model

Reference 38

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Observation 5855e69e-4210-4d01-8f7f-b3f8b31c4ff1 · outbound

This paper cites Lensless digital holo- graphic microscopy and its applications in biomedicine and environmental monitoring.Methods, 136:4–16, 2018.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging Lensless digital holo- graphic microscopy and its applications in biomedicine and environmental monitoring.Methods, 136:4–16, 2018

Reference 39

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Observation c8e253ed-27c6-4d2b-af65-cff7e03a069e · outbound

This paper cites One-step dif- fusion with distribution matching distillation.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging One-step dif- fusion with distribution matching distillation

Reference 40

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Observation 20689535-dcdc-4895-8dc3-7a7c6de9ee25 · outbound

This paper cites One-step diffusion with distribution matching distillation.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging One-step diffusion with distribution matching distillation

Reference 41

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Observation 6db39cf7-a24d-42e5-97e3-f61ae7f1afee · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Null-Space Diffusion Distillation Unlocks Speed, Fidelity and Realism in Lensless Imaging The unreasonable effectiveness of deep features as a perceptual metric

Reference 42

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