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Paper Citation Record · LEDGER

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization

As of 14 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2412.03941.

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

pith.paper-citation-record.v1
2412.03941 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:00:07.427496Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T09:45:27.322571Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T12:54:40.559264Z

Reference resolution

37 of 37 outbound references displayed

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  • verified fuzzy15
  • unresolved21
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  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f8ff73b7-8189-4c6e-8afb-0ca5df58eb37 · outbound

This paper cites In- troduction to inverse problems in imaging.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization In- troduction to inverse problems in imaging

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 295935fa-3e51-4d5a-9cd6-13e8ff14a2ed · outbound

This paper cites A proof of local conver- gence for the adam optimizer.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization A proof of local conver- gence for the adam optimizer

Reference 2

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 54c8be46-012b-4ed6-bfb6-480662e3b16e · outbound

This paper cites Plug- and-play admm for image restoration: Fixed-point conver- gence and applications.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Plug- and-play admm for image restoration: Fixed-point conver- gence and applications

Reference 3

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Observation 16493c6f-e2ca-4f4e-b400-b604cb76cd88 · outbound

This paper cites On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization On the Convergence of A Class of Adam-Type Algorithms for Non-Convex Optimization

Reference 4

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Source-reported events for the cited work

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Observation ed4d90a1-235e-4184-b63e-3ae79ea8a878 · outbound

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

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 5

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Observation 7851ba29-7c79-4020-a46f-a1694a6020f0 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Diffusion models beat gans on image synthesis

Reference 6

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation c831c47e-520a-4ab0-b0d2-9b857e61bd9a · outbound

This paper cites Recursive stochastic algorithms for global optimization in rˆd.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Recursive stochastic algorithms for global optimization in rˆd

Reference 7

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Observation 8680240d-6161-498f-befd-9410e1d8b1fc · outbound

This paper cites Classifier-Free Diffusion Guidance.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Classifier-Free Diffusion Guidance

Reference 8

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Observation 5d83f5c7-b5b0-4bba-b6e9-0347fba4f7c3 · outbound

This paper cites Image quality metrics: Psnr vs.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Image quality metrics: Psnr vs

Reference 9

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Observation e6003062-ac50-46cc-94c4-385013c8e15c · outbound

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

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization A style-based generator architecture for generative adversarial networks

Reference 10

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Observation a1db2061-05b4-4d8b-909f-e254a5dd3e73 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Elucidating the design space of diffusion-based generative models

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f7f7a3e1-1302-487e-8439-36eab7e6b17c · outbound

This paper cites Denoising diffusion restoration models.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Denoising diffusion restoration models

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 35bdf193-cab1-48d2-b525-fb69118b9826 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Adam: A Method for Stochastic Optimization

Reference 13

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Observation 709448ce-d3c8-4a68-9481-3468168616dd · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Repaint: Inpainting using denoising diffusion probabilistic models

Reference 14

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Observation 83eacd2c-3648-4a02-8029-de9a120466f9 · outbound

This paper cites A Variational Perspective on Solving Inverse Problems with Diffusion Models.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 15

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Observation 39a6e482-9809-44ff-8a7b-659842dbd776 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Improved denoising diffusion probabilistic models

Reference 16

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Observation 5d325fe9-096a-41c3-9ce5-c2346dfd4cb5 · outbound

This paper cites DreamFusion: Text-to-3D using 2D Diffusion.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization DreamFusion: Text-to-3D using 2D Diffusion

Reference 17

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Observation b2c6f666-4c4d-492b-8385-17f19f685ccd · outbound

This paper cites Non-convex learning via stochastic gradient langevin dy- namics: a nonasymptotic analysis.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Non-convex learning via stochastic gradient langevin dy- namics: a nonasymptotic analysis

Reference 18

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Observation bcf75444-803d-4b0b-9c9e-3cf8164f8013 · outbound

This paper cites An introduction to inverse problems in physics.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization An introduction to inverse problems in physics

Reference 19

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Observation 47c6e6ff-7c8b-445e-bf35-9fdb5702084e · outbound

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

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Solving linear inverse problems provably via posterior sampling with latent diffusion models

Reference 20

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Source-reported events for the cited work

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Observation dea64459-9714-46eb-acb5-729665a6ae08 · outbound

This paper cites Imagenet large scale visual recognition challenge.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Imagenet large scale visual recognition challenge

Reference 21

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Observation 649712b0-99c7-49d8-9354-36e66bea797e · outbound

This paper cites Solving linear inverse prob- lems using gan priors: An algorithm with provable guaran- tees.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Solving linear inverse prob- lems using gan priors: An algorithm with provable guaran- tees

Reference 22

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Observation 6446e372-26f9-422d-8af7-33e1cd0a080c · outbound

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

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 23

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Observation 36b7d267-5d3e-4bb7-ba18-e3e1c145fdd8 · outbound

This paper cites Denoising Diffusion Implicit Models.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Denoising Diffusion Implicit Models

Reference 24

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Observation 9e7d0ea5-0674-4b20-bdb4-6fa1e9665bf7 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Score-Based Generative Modeling through Stochastic Differential Equations

Reference 25

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Observation b24ea704-0734-475e-9e51-0e847b74a615 · outbound

This paper cites Explore image deblurring via encoded blur kernel space.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Explore image deblurring via encoded blur kernel space

Reference 26

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3375a5c2-9206-4957-8ff1-ba30faba1f11 · outbound

This paper cites DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 376bd290-e1b2-4523-b8e7-d46a5be4479b · outbound

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

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Reference 28

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Observation 7f649f31-1cd6-4820-aede-fc33f60e677a · outbound

This paper cites Bayesian learning via stochas- tic gradient langevin dynamics.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Bayesian learning via stochas- tic gradient langevin dynamics

Reference 29

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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 2026-08-14T06:32:32.682623+00:00.

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Observation 353cfa8f-1de0-4821-8dac-f2f2e9063bb8 · outbound

This paper cites Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing

Reference 30

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Observation 5027e539-f9ec-4a52-b8bc-66005236ce43 · outbound

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

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization The unreasonable effectiveness of deep features as a perceptual metric

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8bfc01b6-05f1-4778-8a87-807aa855b39a · outbound

This paper cites 1 n nX i=1 N (x; zi, σ2I)∥D(x; σ) − zi∥2 2 # 0 = nX i=1 N (x; zi, σ2I)∇D(x;σ) ∥D(x; σ) − zi∥2 2 0 = nX i=1 N (x; zi, σ2I) [2D(x; σ) − 2zi] 0 =.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization 1 n nX i=1 N (x; zi, σ2I)∥D(x; σ) − zi∥2 2 # 0 = nX i=1 N (x; zi, σ2I)∇D(x;σ) ∥D(x; σ) − zi∥2 2 0 = nX i=1 N (x; zi, σ2I) [2D(x; σ) − 2zi] 0 =

Reference 32

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d512f8ee-56a9-420e-bf4b-333fa587d795 · outbound

This paper cites Task Configuration We use the exactly the same task configuration as in [30] where you can find in Section D.1 in [30].

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Task Configuration We use the exactly the same task configuration as in [30] where you can find in Section D.1 in [30]

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5ee9ce7b-ef86-4336-9e01-3da1af50e924 · outbound

This paper cites an unresolved cited work.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:00:07.418237Z digest=sha256:c6f12d44f6c13a8e27692608237c1ed3400a19ff24e93305c49ed19e9e67bd35

Observation f4f0f4f1-edbf-4278-be1c-5755ce1178ad · outbound

This paper cites an unresolved cited work.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:00:07.563135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:00:07.421155Z digest=sha256:9f5ae8c42d01d751afdeed4668d22e79c312039b8a29721f3e248e082c73de09

Observation 57c16d93-c16b-4882-a871-ebb7dc80890d · outbound

This paper cites This suggests that our method saturates at an early stage for most tasks.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization This suggests that our method saturates at an early stage for most tasks

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:00:07.554356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:00:07.424275Z digest=sha256:ab48dad4d815645a5d98f564a567aad28e749af1be9b228afd35e4a104f7b8c5

Observation b19cdfe2-a752-4367-b67f-6150c5ab63d0 · outbound

This paper cites an unresolved cited work.

Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:00:07.544976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:00:07.427496Z digest=sha256:e1a0f6372e8fff90a921dbda55e71862de402532173db761aa37a38a8eafd942

Pith citing papers

Observation d6f879ad-eaaf-4eb9-bb44-6f802f2b8039 · inbound

Stochastic Optimal Control Sampling for Diffusion Inverse Problems cites this paper.

Stochastic Optimal Control Sampling for Diffusion Inverse Problems Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-06-30T12:54:40.560774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T09:45:27.322571Z digest=sha256:88f6f76b59e3c56a9bf6bbfc664e52e743c063ab05de23167157821f684d925d