Paper Citation Record · LEDGER

NullFlow: One-Step Generative Reconstruction

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2606.22696.

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

pith.paper-citation-record.v1
2606.22696 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:36:34.245210Z

measured 34 of 34 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 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

34 of 34 outbound references displayed

verified exact3
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f150c82f-cc59-439f-aeec-2e1e1226dceb · outbound

This paper cites Image super-resolution using deep convolutional networks,.

NullFlow: One-Step Generative Reconstruction Image super-resolution using deep convolutional networks,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e517ec0-ef91-4a62-826f-1a73c996d3b7 · outbound

This paper cites Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising,.

NullFlow: One-Step Generative Reconstruction Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 153dbc95-45e0-42c9-9adf-9e8b01106a62 · outbound

This paper cites Deep convolutional neural network for inverse problems in imaging,.

NullFlow: One-Step Generative Reconstruction Deep convolutional neural network for inverse problems in imaging,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a167962-c079-4e57-bb51-754c781bd97d · outbound

This paper cites Deep null space learning for inverse problems: convergence analysis and rates,.

NullFlow: One-Step Generative Reconstruction Deep null space learning for inverse problems: convergence analysis and rates,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bacbc8f-d778-4329-b7b5-56613c8065ba · outbound

This paper cites Deep decomposition learning for inverse imaging problems,.

NullFlow: One-Step Generative Reconstruction Deep decomposition learning for inverse imaging problems,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 102416fc-0c6e-4224-8bae-cf38a9271fc6 · outbound

This paper cites Provable convergence of plug-and-play priors with MMSE denoisers,.

NullFlow: One-Step Generative Reconstruction Provable convergence of plug-and-play priors with MMSE denoisers,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb1078e6-7ba6-4fba-99fc-95f5ea43e038 · outbound

This paper cites Plug-and-play image restoration with deep denoiser prior,.

NullFlow: One-Step Generative Reconstruction Plug-and-play image restoration with deep denoiser prior,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26240283-454e-4b13-8efc-8cfd3fc9e866 · outbound

This paper cites Plug-and-play image restoration with stochastic denoising regularization,.

NullFlow: One-Step Generative Reconstruction Plug-and-play image restoration with stochastic denoising regularization,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a810a14-acfa-4663-b683-8421596c8218 · outbound

This paper cites Denoising diffusion probabilistic models,.

NullFlow: One-Step Generative Reconstruction Denoising diffusion probabilistic models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 175c28da-bc8d-490d-86f0-5f8f34fece79 · outbound

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

NullFlow: One-Step Generative Reconstruction High- resolution image synthesis with latent diffusion models,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dd5e3b1-b07a-4099-83a7-f7c7697c41ea · outbound

This paper cites Flow matching for generative modeling,.

NullFlow: One-Step Generative Reconstruction Flow matching for generative modeling,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f5ed4c4-a2f4-4952-8e0b-722c2308b4b5 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow,.

NullFlow: One-Step Generative Reconstruction Flow straight and fast: Learning to generate and transfer data with rectified flow,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a99f8406-0ced-4f7d-87df-b4f3f187a415 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants,.

NullFlow: One-Step Generative Reconstruction Building Normalizing Flows with Stochastic Interpolants,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32c48373-ac5c-467a-8dea-d668e85e5312 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions,.

NullFlow: One-Step Generative Reconstruction Stochastic Interpolants: A Unifying Framework for Flows and Diffusions,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a2c190a-b80f-495e-b27e-179b5acfedd4 · outbound

This paper cites Denoising diffusion restoration mod- els,.

NullFlow: One-Step Generative Reconstruction Denoising diffusion restoration mod- els,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d99a9846-9572-4eaf-8f4e-f3558db7ec6d · outbound

This paper cites Diffusion posterior sampling for general noisy inverse problems,.

NullFlow: One-Step Generative Reconstruction Diffusion posterior sampling for general noisy inverse problems,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6ca6075-5050-497a-b7dd-59fead393134 · outbound

This paper cites DOLCE: A model-based probabilistic diffusion framework for limited-angle CT reconstruction,.

NullFlow: One-Step Generative Reconstruction DOLCE: A model-based probabilistic diffusion framework for limited-angle CT reconstruction,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8db09eca-e86c-414b-a1fd-1cdc70cde1cc · outbound

This paper cites Stochastic Interpolants with Data-Dependent Couplings,.

NullFlow: One-Step Generative Reconstruction Stochastic Interpolants with Data-Dependent Couplings,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 470ebbf5-a5a2-40db-beaf-ecc53fb63486 · outbound

This paper cites Plug-and-play methods for integrating physical and learned models in computational imaging,.

NullFlow: One-Step Generative Reconstruction Plug-and-play methods for integrating physical and learned models in computational imaging,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54512a3d-22f4-4ee9-b1e4-7c770a5e7c99 · outbound

This paper cites A Survey on Diffusion Models for Inverse Problems.

NullFlow: One-Step Generative Reconstruction A Survey on Diffusion Models for Inverse Problems

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:59:43.387922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 13805e17-460e-47e0-b9d5-97cac9b8bdd6 · outbound

This paper cites Zero-shot image restoration using denoising diffusion null- space model,.

NullFlow: One-Step Generative Reconstruction Zero-shot image restoration using denoising diffusion null- space model,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5ff0956-a7c4-4c05-9901-1c3277157aa3 · outbound

This paper cites Flowdps : Flow-driven posterior sampling for inverse problems,.

NullFlow: One-Step Generative Reconstruction Flowdps : Flow-driven posterior sampling for inverse problems,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeb995ea-de6b-4a1d-a49c-976663be8fa3 · outbound

This paper cites Flower: A Flow-Matching Solver for Inverse Problems,.

NullFlow: One-Step Generative Reconstruction Flower: A Flow-Matching Solver for Inverse Problems,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6682a013-9bb0-44d7-b6ed-834ec230a9f5 · outbound

This paper cites Pnp-flow: Plug-and-play image restoration with flow matching,.

NullFlow: One-Step Generative Reconstruction Pnp-flow: Plug-and-play image restoration with flow matching,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bcf63ca-66dc-4559-9294-0c45d233b3de · outbound

This paper cites Flow matching on general geometries,.

NullFlow: One-Step Generative Reconstruction Flow matching on general geometries,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c184bd9-04fe-4fec-b4be-96a50f0a3bac · outbound

This paper cites D-flow: Differen- tiating through flows for controlled generation,.

NullFlow: One-Step Generative Reconstruction D-flow: Differen- tiating through flows for controlled generation,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78bb1334-1034-4b4d-a3ae-2b36a6e34824 · outbound

This paper cites Flow priors for linear inverse problems via iterative corrupted trajectory matching,.

NullFlow: One-Step Generative Reconstruction Flow priors for linear inverse problems via iterative corrupted trajectory matching,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dafc4a8d-d250-4bef-a401-13985ce80965 · outbound

This paper cites Training-free linear image inverses via flows,.

NullFlow: One-Step Generative Reconstruction Training-free linear image inverses via flows,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f9955cb-1963-4f84-99b3-51d59ff1df4a · outbound

This paper cites Mean flows for one- step generative modeling,.

NullFlow: One-Step Generative Reconstruction Mean flows for one- step generative modeling,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8090a98-43fe-4918-be47-2180fe79e23f · outbound

This paper cites Improved Mean Flows: On the Challenges of Fastforward Generative Models.

NullFlow: One-Step Generative Reconstruction Improved Mean Flows: On the Challenges of Fastforward Generative Models

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:59:43.385398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 87cefacb-5944-4eef-b1d8-13deb6eef9af · outbound

This paper cites One-step Latent-free Image Generation with Pixel Mean Flows.

NullFlow: One-Step Generative Reconstruction One-step Latent-free Image Generation with Pixel Mean Flows

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:59:43.390632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 721df1d3-f395-41ab-9bb5-4243e1c43ecb · outbound

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

NullFlow: One-Step Generative Reconstruction The unreasonable effectiveness of deep features as a perceptual metric,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40690d33-f69a-4f97-b3b1-978b1950db5a · outbound

This paper cites Convnext v2: Co-designing and scaling convnets with masked autoencoders,.

NullFlow: One-Step Generative Reconstruction Convnext v2: Co-designing and scaling convnets with masked autoencoders,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61ea3e84-0bde-4d77-a409-70d6deb8a8a9 · outbound

This paper cites Mean flows for one-step generative modeling,.

NullFlow: One-Step Generative Reconstruction Mean flows for one-step generative modeling,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-26T10:36:34.245210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.