Paper Citation Record · LEDGER

Saving Foundation Flow-Matching Priors for Inverse Problems

As of 2 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2511.16520.

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

pith.paper-citation-record.v1
2511.16520 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T20:36:13.408128Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-02T06:30:47.504484+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

29 of 29 outbound references displayed

verified exact23
verified fuzzy2
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5c57004e-ad8f-4ff7-91ab-003a995d78e4 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Saving Foundation Flow-Matching Priors for Inverse Problems Cosmos World Foundation Model Platform for Physical AI

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:40:15.123284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 47b9b5c7-b354-4ab9-89d3-4f6b0ca20d7d · outbound

This paper cites Ntire 2017 challenge on single image super-resolution: Dataset and study.

Saving Foundation Flow-Matching Priors for Inverse Problems Ntire 2017 challenge on single image super-resolution: Dataset and study

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:45:15.415181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 86224175-127a-4917-a235-c38f1bee9307 · outbound

This paper cites Understanding untrained deep models for inverse problems: Algorithms and theory.

Saving Foundation Flow-Matching Priors for Inverse Problems Understanding untrained deep models for inverse problems: Algorithms and theory

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.129435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation c77edac9-4737-4c06-9b9e-b399200f3ed0 · outbound

This paper cites D-Flow: Differentiating through Flows for Controlled Generation.

Saving Foundation Flow-Matching Priors for Inverse Problems D-Flow: Differentiating through Flows for Controlled Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.041740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 97aa77b9-d3f6-4178-b50a-4b5a1a12e031 · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

Saving Foundation Flow-Matching Priors for Inverse Problems FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:40:15.055263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 2ad64e26-5f47-4419-b6ab-244adfc57eb8 · outbound

This paper cites Neural Ordinary Differential Equations.

Saving Foundation Flow-Matching Priors for Inverse Problems Neural Ordinary Differential Equations

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T20:40:15.113109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation cbe041b0-158e-4948-a446-f0bd06aa8dcd · outbound

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

Saving Foundation Flow-Matching Priors for Inverse Problems A Survey on Diffusion Models for Inverse Problems

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T20:40:15.064978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 3d684efd-1ded-432c-88d9-ec29fd330dcd · outbound

This paper cites Will Grathwohl, Ricky T.

Saving Foundation Flow-Matching Priors for Inverse Problems Will Grathwohl, Ricky T

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.078825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 553bef09-7a29-4646-a1d2-03c133428220 · outbound

This paper cites FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models.

Saving Foundation Flow-Matching Priors for Inverse Problems FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T20:40:15.108084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation f540f5db-22fa-4f8e-a38c-0b0308e9800f · outbound

This paper cites doi: 10.1063/5.0090582.

Saving Foundation Flow-Matching Priors for Inverse Problems doi: 10.1063/5.0090582

Reference 10

Resolution: verified exact; doi, observed 2026-05-17T20:40:13.927767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation f6f5929a-4232-425b-84bb-5dea033de72c · outbound

This paper cites Self-Validation: Early Stopping for Single-Instance Deep Generative Priors.

Saving Foundation Flow-Matching Priors for Inverse Problems Self-Validation: Early Stopping for Single-Instance Deep Generative Priors

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.133510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 1e64d4ab-8a0a-485a-bb78-4cfe30277b25 · outbound

This paper cites UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights.

Saving Foundation Flow-Matching Priors for Inverse Problems UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.025445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation e1b649b0-39c4-40da-a687-f3ef99ae4909 · outbound

This paper cites PnP-Flow: Plug-and-Play Image Restoration with Flow Matching.

Saving Foundation Flow-Matching Priors for Inverse Problems PnP-Flow: Plug-and-Play Image Restoration with Flow Matching

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.069986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 9278e2b3-d845-4669-a6a2-eb2eeee6810d · outbound

This paper cites Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network.

Saving Foundation Flow-Matching Priors for Inverse Problems Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.092175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation f35bc480-1eb7-4ac6-972e-08a222c01a4e · outbound

This paper cites Ongie, A.

Saving Foundation Flow-Matching Priors for Inverse Problems Ongie, A

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:13.935785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 80dca146-41f6-4ca3-be71-9831003ad7ae · outbound

This paper cites Steering Rectified Flow Models in the Vector Field for Controlled Image Generation.

Saving Foundation Flow-Matching Priors for Inverse Problems Steering Rectified Flow Models in the Vector Field for Controlled Image Generation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.074476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation eae1fae5-dd56-4f3e-b7f4-a3a0646b1f3d · outbound

This paper cites Scaling Rectified Flow Transformers for High-Resolution Image Synthesis.

Saving Foundation Flow-Matching Priors for Inverse Problems Scaling Rectified Flow Transformers for High-Resolution Image Synthesis

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:40:15.087517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 0513beb6-9a1a-44ef-a613-f51d8bdf8c4d · outbound

This paper cites Training-free Linear Image Inverses via Flows.

Saving Foundation Flow-Matching Priors for Inverse Problems Training-free Linear Image Inverses via Flows

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.050504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 4a8f6477-2047-4b94-803f-30dea45cded9 · outbound

This paper cites Vincent Sitzmann, Julien N.P.

Saving Foundation Flow-Matching Priors for Inverse Problems Vincent Sitzmann, Julien N.P

Reference 19

Resolution: verified exact; doi, observed 2026-05-17T20:40:13.938850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 1c1aee1e-2d81-4b68-9dd2-ebe723f7c16a · outbound

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

Saving Foundation Flow-Matching Priors for Inverse Problems Score-Based Generative Modeling through Stochastic Differential Equations

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T20:40:15.083065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation c6fc2452-45a9-4dc6-a632-11da1d404d50 · outbound

This paper cites doi: 10.1007/s11263-020-01303-4.

Saving Foundation Flow-Matching Priors for Inverse Problems doi: 10.1007/s11263-020-01303-4

Reference 21

Resolution: verified exact; doi, observed 2026-05-17T20:40:13.931513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation c252e2b6-881f-4364-83eb-c7bef89d1999 · outbound

This paper cites Learning Transferable Features for Implicit Neural Representations.

Saving Foundation Flow-Matching Priors for Inverse Problems Learning Transferable Features for Implicit Neural Representations

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.097594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 38fea399-676b-41fd-9ae9-7987d557a8b7 · outbound

This paper cites Yuxiang Wan, Ryan Devera, Wenjie Zhang, and Ju Sun.

Saving Foundation Flow-Matching Priors for Inverse Problems Yuxiang Wan, Ryan Devera, Wenjie Zhang, and Ju Sun

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.031430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation b35e15ed-54e8-4d87-8671-53eec3986a27 · outbound

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

Saving Foundation Flow-Matching Priors for Inverse Problems DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.103589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 0e7f98d9-2b19-4e24-beed-28b4b8238d32 · outbound

This paper cites Temporal-Consistent Video Restoration with Pre-trained Diffusion Models.

Saving Foundation Flow-Matching Priors for Inverse Problems Temporal-Consistent Video Restoration with Pre-trained Diffusion Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.036803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 0b808ace-23fa-4a4d-9550-a7d68c7968c2 · outbound

This paper cites Guidance with Spherical Gaussian Constraint for Conditional Diffusion.

Saving Foundation Flow-Matching Priors for Inverse Problems Guidance with Spherical Gaussian Constraint for Conditional Diffusion

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.060349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation d0f6155e-837e-44ef-9f2c-37e602f6db96 · outbound

This paper cites What is Wrong with End-to-End Learning for Phase Retrieval?.

Saving Foundation Flow-Matching Priors for Inverse Problems What is Wrong with End-to-End Learning for Phase Retrieval?

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.118291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation cc03ebe2-e02e-4939-a8c4-f0330239a366 · outbound

This paper cites Zhong Zhuang, Taihui Li, Hengkang Wang, and Ju Sun.

Saving Foundation Flow-Matching Priors for Inverse Problems Zhong Zhuang, Taihui Li, Hengkang Wang, and Ju Sun

Reference 28

Resolution: verified exact; doi, observed 2026-05-17T20:40:13.924473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Observation 38f763f7-763d-49ef-9a04-8daa132010bb · outbound

This paper cites •FMPlugWe useAdamWas our default optimizer.

Saving Foundation Flow-Matching Priors for Inverse Problems •FMPlugWe useAdamWas our default optimizer

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T20:45:15.418681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.

Pith citing papers

No inbound Pith citation observations are available.