Paper Citation Record · LEDGER

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements

As of 13 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2411.09850.

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

pith.paper-citation-record.v1
2411.09850 v2

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:21:09.468251Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T02:14:40.650623Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T02:17:06.541876Z

Reference resolution

46 of 46 outbound references displayed

verified exact1
verified fuzzy11
unresolved34
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f9070000-2d70-489f-a9a3-832c31dda7ec · outbound

This paper cites SegDiff: Image Segmentation with Diffusion Probabilistic Models.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements SegDiff: Image Segmentation with Diffusion Probabilistic Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:09.252764Z

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Observation 312c74d3-20c6-4a67-8a2f-bcb82f27accc · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Structured denoising diffusion models in discrete state-spaces

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:09.258360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcea8764-a65f-4612-88ce-0c7091b8682f · outbound

This paper cites Label-Efficient Semantic Segmentation with Diffusion Models.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Label-Efficient Semantic Segmentation with Diffusion Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:09.263028Z

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Observation 10de1003-bb76-4a29-b41b-ed7395f8f8a6 · outbound

This paper cites Denoising pretraining for semantic segmentation.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Denoising pretraining for semantic segmentation

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:10.013773Z

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Observation 37f4756c-c595-4ae3-b635-f214d9731315 · outbound

This paper cites SUD$^2$: Supervision by Denoising Diffusion Models for Image Reconstruction.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements SUD$^2$: Supervision by Denoising Diffusion Models for Image Reconstruction

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-12T20:21:09.613993Z

Source-reported events for the cited work

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Observation 58962ea9-f393-4955-8d5e-cc715f0e33ba · outbound

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

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:09.277634Z

Source-reported events for the cited work

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Observation 4c3a454b-eb50-458c-a66e-58dfbde24c46 · outbound

This paper cites Improving diffusion models for inverse problems using manifold constraints.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Improving diffusion models for inverse problems using manifold constraints

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:09.283617Z

Source-reported events for the cited work

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Observation fc07d4bd-cd2f-4762-9419-c31815a5f304 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Imagenet: A large-scale hierarchical image database

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:09.288083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e06d9dfa-49d2-42de-9e97-642f51104b2d · outbound

This paper cites Diffusion models beat gans on image synthesis.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Diffusion models beat gans on image synthesis

Reference 9

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Observation 9d15ef0e-a8db-43b7-8045-8f1dcba29953 · outbound

This paper cites Generating images with perceptual similarity metrics based on deep networks.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Generating images with perceptual similarity metrics based on deep networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:09.968192Z

Source-reported events for the cited work

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Observation 0bc2caeb-95a2-464d-8504-88e65f6ea94a · outbound

This paper cites Diffusion posterior sampling for linear inverse problem solving: A filtering perspective.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Diffusion posterior sampling for linear inverse problem solving: A filtering perspective

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:09.301146Z

Source-reported events for the cited work

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Observation 9f00ba1c-9046-45d1-91de-4caa7d9b7e38 · outbound

This paper cites Series evaluation of tweedie exponential dispersion model densities.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Series evaluation of tweedie exponential dispersion model densities

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:09.946058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation af9979b3-7fc4-4271-b3b3-e6dcb998b901 · outbound

This paper cites Tweedie’s formula and selection bias.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Tweedie’s formula and selection bias

Reference 13

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Source-reported events for the cited work

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Observation 1e5e3d93-7ae6-446b-825e-e75a6dce9e75 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 14

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Source-reported events for the cited work

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Observation e8a792d2-a6f7-4a14-8db2-6aa14b02db65 · outbound

This paper cites Denoising diffusion probabilistic models.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Denoising diffusion probabilistic models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:09.326705Z

Source-reported events for the cited work

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Observation 2c02139a-7414-4567-9f6d-4e0b50400972 · outbound

This paper cites Argmax flows and multinomial diffusion: Learning categorical distributions.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Argmax flows and multinomial diffusion: Learning categorical distributions

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:09.906947Z

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Observation c5d1b057-d5f0-483b-9a15-857ba3810280 · outbound

This paper cites Equivariant diffusion for molecule generation in 3d.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Equivariant diffusion for molecule generation in 3d

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:09.335827Z

Source-reported events for the cited work

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Observation 8dbe89e6-6f1d-47d8-9ea7-be0fb54ba230 · outbound

This paper cites Torsional diffusion for molecular conformer generation.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Torsional diffusion for molecular conformer generation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:09.882730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2350bcc5-85d5-44c8-bdf8-878259436e39 · outbound

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

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements A style-based generator architecture for generative adversarial networks

Reference 19

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Observation 590a0710-8f66-4561-b8f6-1205405904fd · outbound

This paper cites Denoising diffusion restoration models.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Denoising diffusion restoration models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:09.349817Z

Source-reported events for the cited work

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Observation b3edee2c-475f-4845-b360-0b35b53b8f40 · outbound

This paper cites Leviborodenko/motionblur: Generate authentic motion blur kernels (point spread functions) and apply them to images.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Leviborodenko/motionblur: Generate authentic motion blur kernels (point spread functions) and apply them to images

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:09.853847Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 51aeb29e-5d40-4b1c-8045-6e29528f5fb3 · outbound

This paper cites Diffusion-lm improves controllable text generation.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Diffusion-lm improves controllable text generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:09.358486Z

Source-reported events for the cited work

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Observation f6fca302-1ed5-4f37-968a-91e5c63e8ded · outbound

This paper cites o lund, and Thomas B Sch \.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements o lund, and Thomas B Sch \

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:09.832310Z

Source-reported events for the cited work

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Observation ffc11200-b8da-42f5-8b95-0b3537a4246f · outbound

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

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 24

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Observation e9b51193-db98-4740-84aa-07202a85850d · outbound

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

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance

Reference 25

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Observation 00a047c2-b70c-40fe-8263-9aed1f2affe9 · outbound

This paper cites Grad-tts: A diffusion probabilistic model for text-to-speech.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Grad-tts: A diffusion probabilistic model for text-to-speech

Reference 26

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Observation d8e5b9a9-a345-4fb1-b693-6f2e4f9191f6 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements High-resolution image synthesis with latent diffusion models

Reference 27

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Observation 43763ea2-633d-4dbe-8c88-ea6ed21804ad · outbound

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

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Solving linear inverse problems provably via posterior sampling with latent diffusion models

Reference 28

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Source-reported events for the cited work

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Observation 6b2c6e3b-44d3-4e87-87bf-967676056906 · outbound

This paper cites Image super-resolution via iterative refinement.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Image super-resolution via iterative refinement

Reference 29

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Observation 2a5e08a5-69ba-4147-881b-d99fcae9b4d9 · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 30

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Observation 89362faa-7fdb-44c4-b662-023650c77830 · outbound

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

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 31

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Observation 41bbdc09-c42a-402c-8464-16a42b402ccd · outbound

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

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Pseudoinverse-guided diffusion models for inverse problems

Reference 32

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Observation b33f29d0-e984-4b88-a1f4-614d458227b6 · outbound

This paper cites Loss-guided diffusion models for plug-and-play controllable generation.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Loss-guided diffusion models for plug-and-play controllable generation

Reference 33

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Observation 33b77e19-e41e-46a0-a13b-fcba13a31dfb · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Generative modeling by estimating gradients of the data distribution

Reference 34

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Observation e51621f9-cea7-4191-9158-72266dfc9019 · outbound

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

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Score-Based Generative Modeling through Stochastic Differential Equations

Reference 35

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Observation aa8a687f-0933-4db9-95f3-eba28706bff9 · outbound

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

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Explore image deblurring via encoded blur kernel space

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:09.755356Z

Source-reported events for the cited work

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Observation 4eea7728-f6f1-4154-bd2a-964a8a61b9ee · outbound

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

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Reference 37

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Observation 21e247f2-ba79-4bd6-abf1-53267622d31e · outbound

This paper cites Deblurring via stochastic refinement.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Deblurring via stochastic refinement

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:09.742482Z

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Observation f1bca949-f5c5-4b6c-a4e0-3222c0c36952 · outbound

This paper cites Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Tune-a-video: One-shot tuning of image diffusion models for text-to-video generation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:09.435900Z

Source-reported events for the cited work

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Observation 7fab9d4f-c981-4359-9ae8-e529bc37b581 · outbound

This paper cites Diffsound: Discrete diffusion model for text-to-sound generation.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Diffsound: Discrete diffusion model for text-to-sound generation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:09.712050Z

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Observation f71a65f1-0146-4e77-8c93-7d3e98484ef4 · outbound

This paper cites Diffusion probabilistic model made slim.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Diffusion probabilistic model made slim

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T20:21:09.698229Z

Source-reported events for the cited work

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Observation 3d946cf5-fcc9-4085-a265-1b7f8f6e24da · outbound

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

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Denoising diffusion models for plug-and-play image restoration

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:09.449138Z

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Observation e57f8551-bd88-40ce-8535-7e1dc68d6114 · outbound

This paper cites write newline.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements write newline

Reference 43

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Source-reported events for the cited work

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Observation 7bfd17af-9ef0-4bf3-ba5b-80cf9809906f · outbound

This paper cites @esa (Ref.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements @esa (Ref

Reference 44

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Observation 41463aca-15b2-4215-8335-d5b600d70870 · outbound

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Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Unresolved cited work

Reference 45

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Observation 4cde8da8-3cff-4725-b015-72d7d6efeb40 · outbound

This paper cites an unresolved cited work.

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-12T20:21:09.468251Z

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Pith citing papers

Observation 4ba0e78e-f327-404a-ab2b-685b80476dd2 · inbound

Couple to Control: Joint Initial Noise Design in Diffusion Models cites this paper.

Couple to Control: Joint Initial Noise Design in Diffusion Models Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:17:06.544896Z

Source-reported events for the cited work

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