Paper Citation Record · LEDGER

Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2007.13640.

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

pith.paper-citation-record.v1
2007.13640 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:28:52.094229Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T03:19:28.901157Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b764848e-861c-4835-b89f-8bd6c4a3629e · inbound

Video Diffusion Models cites this paper.

Video Diffusion Models Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T14:38:27.990328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1102fb8a-5c80-48c7-b8f6-bb9e89fad139 · inbound

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding cites this paper.

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T07:38:53.449566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 81437931-b28f-471a-bfca-4d694f7048e8 · inbound

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

Stochastic Interpolants: A Unifying Framework for Flows and Diffusions Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:45:22.097255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7e2980ad-c04a-4761-9dc0-bb482ed2fd10 · inbound

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

A Survey on Diffusion Models for Inverse Problems Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T04:31:49.210600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b3caa245-d910-4f00-b8b6-2592ce1fc93f · inbound

Diffusion models under low-noise regime cites this paper.

Diffusion models under low-noise regime Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:28:52.094229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0f9f0ce-6e5a-410f-8938-dfa4f280f67d · inbound

Efficient Zero-Shot Inpainting with Decoupled Diffusion Guidance cites this paper.

Efficient Zero-Shot Inpainting with Decoupled Diffusion Guidance Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:21:13.525305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fb82a2d2-6606-40a3-b9f9-66c03c37417d · inbound

Inverting Data Transformations via Diffusion Sampling cites this paper.

Inverting Data Transformations via Diffusion Sampling Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T03:26:41.213511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8447dd53-6879-4fb7-86a7-ba1e8c2b48c9 · inbound

A unified perspective on fine-tuning and sampling with diffusion and flow models cites this paper.

A unified perspective on fine-tuning and sampling with diffusion and flow models Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:31:21.632179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 90a55de6-a131-4dba-9f39-3f99e4e8f5e2 · inbound

Tessellations of Semi-Discrete Flow Matching cites this paper.

Tessellations of Semi-Discrete Flow Matching Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

Reference 276

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:10:53.770704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7e81ea57-4fd0-4963-b939-bdbc5fbd4f6a · inbound

Beyond MMSE: Enhancing PnP Restoration with ProxiMAP cites this paper.

Beyond MMSE: Enhancing PnP Restoration with ProxiMAP Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T22:39:10.252130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 991867d8-971c-4a64-9e73-19cdc6fb6481 · inbound

Memorisation, convergence and generalisation in generative models cites this paper.

Memorisation, convergence and generalisation in generative models Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:19:28.903217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4aa59b69-ba15-47a1-bf21-f8c6065f112a · inbound

Small, Bias-Free, Blind and Convolutional Denoiser: A compact ConvNeXt U-Net for blind Gaussian color-image denoising cites this paper.

Small, Bias-Free, Blind and Convolutional Denoiser: A compact ConvNeXt U-Net for blind Gaussian color-image denoising Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T05:16:02.085868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.