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Paper Citation Record · LEDGER

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems

As of 16 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 1 inbound Pith citation observation for arXiv:2505.09528.

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

pith.paper-citation-record.v1
2505.09528 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:34:57.846170Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T06:10:51.218938Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T06:12:25.994887Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact2
  • verified fuzzy56
  • unresolved20
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92faf6c6-5cd8-46bb-88c2-79d909f725a6 · outbound

This paper cites Deep Bayesian Inversion.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Deep Bayesian Inversion

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.427566Z digest=sha256:443c55ac89b1ae7973a2b5ea97f2e5ec6f74b191709907357171d5fb0e31a423

Observation cb00e69e-94d5-4f6f-8699-e5e8bc5d9e54 · outbound

This paper cites Andersen, Joachim Dahl, and Lieven Vandenberghe.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Andersen, Joachim Dahl, and Lieven Vandenberghe

Reference 2

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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 2026-08-16T06:30:59.297886+00:00.

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Observation c2899a43-e42d-4885-9f7c-799e0be4db82 · outbound

This paper cites Angelopoulos and Stephen Bates.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Angelopoulos and Stephen Bates

Reference 3

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no resolver link, observed 2026-08-15T21:34:57.438905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0fe744b6-4a5c-4af6-9760-d8a03cc48533 · outbound

This paper cites Conformal Risk Control.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Conformal Risk Control

Reference 4

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unresolved
no resolver link, observed 2026-08-15T21:34:57.444433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.444433Z digest=sha256:eedaee1bb2e48e72c660c6e65235fe23c0778fb92ab9e40fe9bcd12e0a600c7c

Observation 63145bf0-bf79-45c0-bf00-275ad9bccf38 · outbound

This paper cites Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging

Reference 5

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unresolved
no resolver link, observed 2026-08-15T21:34:57.450260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 00582372-5ec6-4f2f-b74c-a1cc5bd5a02a · outbound

This paper cites O ktem, and Carola-Bibiane Sch \.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems O ktem, and Carola-Bibiane Sch \

Reference 6

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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 2026-08-16T06:30:59.297886+00:00.

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Observation bd03800d-e715-4249-8fd3-7c1f73b3196a · outbound

This paper cites an unresolved cited work.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Unresolved cited work

Reference 7

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 369d51e7-192f-42de-a430-df2059bd1c9b · outbound

This paper cites Quantifying model uncertainty in inverse problems via B ayesian deep gradient descent.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Quantifying model uncertainty in inverse problems via B ayesian deep gradient descent

Reference 8

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unresolved
no resolver link, observed 2026-08-15T21:34:57.466164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 731e5b46-ee92-465b-b77d-bd44bd121ce6 · outbound

This paper cites Conformal prediction beyond exchangeability.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Conformal prediction beyond exchangeability

Reference 9

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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 2026-08-16T06:30:59.297886+00:00.

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Observation 64c7062d-ac37-4b6d-b26c-883855395004 · outbound

This paper cites Distribution-free, risk-controlling prediction sets.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Distribution-free, risk-controlling prediction sets

Reference 10

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unresolved
no resolver link, observed 2026-08-15T21:34:57.475699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 512241f8-040a-428b-91a2-c975ae156c35 · outbound

This paper cites Principal uncertainty quantification with spatial correlation for image restoration problems.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Principal uncertainty quantification with spatial correlation for image restoration problems

Reference 11

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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 2026-08-16T06:30:59.297886+00:00.

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Observation 17af6d30-ee57-41ef-a071-646912d892b8 · outbound

This paper cites Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Applications, promises, and pitfalls of deep learning for fluorescence image reconstruction

Reference 12

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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 2026-08-16T06:30:59.297886+00:00.

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Observation ba331527-0d7b-4642-9a21-71555aa098e3 · outbound

This paper cites A regularized conditional GAN for posterior sampling in inverse problems.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems A regularized conditional GAN for posterior sampling in inverse problems

Reference 13

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.494841Z digest=sha256:7bcbde7de8d77ee8ce2177fb2379483afdd42a08b8f1dc0b454d1c6f426161af

Observation beec9af8-1206-4542-9cb6-a54841f3aae2 · outbound

This paper cites On hallucinations in tomographic image reconstruction.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems On hallucinations in tomographic image reconstruction

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.499709Z digest=sha256:a891a230fdc7dd111930f2eb73bbae0bf72d13bd49659bcf6d48b87dcbf3f50f

Observation f857e2d3-9c58-460f-9c32-3741455ef92f · outbound

This paper cites The perception-distortion tradeoff.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems The perception-distortion tradeoff

Reference 15

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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 2026-08-16T06:30:59.297886+00:00.

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Observation a804544f-4d51-403b-8375-051e931aa5a1 · outbound

This paper cites Torchmetrics, 2022.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Torchmetrics, 2022

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation c3eba909-ee42-452e-b448-1efa9bd52860 · outbound

This paper cites Oppenheimer, Abhishek Pandala, Juan José Quiroz Omaña, Nikitas Rontsis, Paarth Shah, Samuel St-Jean, Nicola Vitucci, Soeren Wolfers, and Fengyu Yang.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Oppenheimer, Abhishek Pandala, Juan José Quiroz Omaña, Nikitas Rontsis, Paarth Shah, Samuel St-Jean, Nicola Vitucci, Soeren Wolfers, and Fengyu Yang

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.515021Z digest=sha256:1dcded11434eaf6d671eedad2dc6c4bdcc1297450f0a1255ab808191259b2940

Observation 8c38281b-98a4-4266-9a8a-0472307c8b6e · outbound

This paper cites Robust validation: C onfident predictions even when distributions shift.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Robust validation: C onfident predictions even when distributions shift

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation b7c3caf5-d31b-4f95-804a-d2c01b41528d · outbound

This paper cites XGBoost: A scalable tree boosting system.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems XGBoost: A scalable tree boosting system

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 4b9b54fc-5887-485e-8f4f-f88a630e4731 · outbound

This paper cites The potential dangers of artificial intelligence for radiology and radiologists.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems The potential dangers of artificial intelligence for radiology and radiologists

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.532945Z digest=sha256:755fae5d1f224325fa4e15db2c1d0ab5acbc7c3366133e4bad5e77811367c4f1

Observation 1efd16bb-06ee-428d-b1be-b1da02d42487 · outbound

This paper cites Distribution matching losses can hallucinate features in medical image translation.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Distribution matching losses can hallucinate features in medical image translation

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.538488Z digest=sha256:cfc2190a18fc6eadb3856dcb71c3c71e083d0290a974cf13726956677c6300e5

Observation 4e985158-f3d3-4823-bcf7-1c634a93663b · outbound

This paper cites Image quality assessment: U nifying structure and texture similarity.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Image quality assessment: U nifying structure and texture similarity

Reference 22

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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 2026-08-16T06:30:59.297886+00:00.

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Observation b5228084-545a-40f2-9c37-e33e652fff78 · outbound

This paper cites Simoncelli.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Simoncelli

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.548970Z digest=sha256:88738ad881b56aba8c0f89c0add93c5da870198f7cca5e2b1e631d4fef82b9da

Observation c514b03c-9e92-4278-aaa1-abf8a34d7635 · outbound

This paper cites Efficient B ayesian computation by proximal M arkov chain M onte C arlo: W hen L angevin meets M oreau.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Efficient B ayesian computation by proximal M arkov chain M onte C arlo: W hen L angevin meets M oreau

Reference 24

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.554531Z digest=sha256:943a81c0560ff1a99caa73587a5bf7d7c55f1c596563bd078e29402bd3b0b0ea

Observation c99c38d0-3ab4-4cff-9b50-2bf1284ad27e · outbound

This paper cites Uncertainty quantification in deep MRI reconstruction.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Uncertainty quantification in deep MRI reconstruction

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.103951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation adfa7e7a-db00-45b2-aa26-14d97ce351cd · outbound

This paper cites Uncertainty quantification for deep unrolling-based computational imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Uncertainty quantification for deep unrolling-based computational imaging

Reference 26

Resolution
metadata mismatch
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.564545Z digest=sha256:e5ebc8631143defef781a2a60f1d3377ee3a57819a1b4170539412de918dc0bb

Observation 895d93a3-22f8-4da2-a44c-690e2c399e0b · outbound

This paper cites Quantifying generative model uncertainty in posterior sampling methods for computational imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Quantifying generative model uncertainty in posterior sampling methods for computational imaging

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.087806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.569591Z digest=sha256:d789fe04ec9fef49b60c052ccebd082d3959d8057edffbe36cf32e8301d07043

Observation 4b17988b-9c40-46af-824f-8141d6b95f04 · outbound

This paper cites Pytorch lightning, 2019.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Pytorch lightning, 2019

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.072117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.574622Z digest=sha256:622b503fa08ac5d14e38d7d0af2b67113e17e575c8003cbe641257ca67462724

Observation 0813961f-bc1b-4613-a080-96388e37b209 · outbound

This paper cites A Modern Approach to Probability Theory.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems A Modern Approach to Probability Theory

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.055839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.579418Z digest=sha256:90c6f2aac5b35cddc0b5031f0574b8f047f7ad505bc7c9882ca878c72cb91045

Observation 5495b535-d683-4c51-aea3-35aee198551b · outbound

This paper cites The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems The troublesome kernel -- On hallucinations, no free lunches and the accuracy-stability trade-off in inverse problems

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.585343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.585343Z digest=sha256:da409a268a98eb76731c46527214866fc4b3246fcad544e1d34e9ecbe1ac1e14

Observation 8aa982bc-c49c-4978-a031-d4167ab6ab69 · outbound

This paper cites Physics-driven deep learning for computational magnetic resonance imaging: C ombining physics and machine learning for improved medical imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Physics-driven deep learning for computational magnetic resonance imaging: C ombining physics and machine learning for improved medical imaging

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.039399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.590844Z digest=sha256:2fbc9b7e6f8590fdd6705ba2b97171c50cb4b6e518fb22a1b3ead57b24f8a316

Observation 529e376a-a35e-406d-b838-ab81ecc3c291 · outbound

This paper cites Denoising diffusion probabilistic models.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Denoising diffusion probabilistic models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.022935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.595819Z digest=sha256:83471c62c141a1fa982e811d4fcbc833270bfc82ed34b254091a18f10ffab8ab

Observation 4d18b9e6-cf41-441c-ac6b-9cd63a42d12d · outbound

This paper cites The promise and peril of deep learning in microscopy.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems The promise and peril of deep learning in microscopy

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:59.005179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.600824Z digest=sha256:91caba84ec74f90559f7ac966428364e06bf75f84276b8788d41ea9b7726f632

Observation befa2130-3d73-446d-9a6d-f7413d2e849b · outbound

This paper cites Conffusion: Confidence Intervals for Diffusion Models.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Conffusion: Confidence Intervals for Diffusion Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.606082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.606082Z digest=sha256:ded3bac8e514e0001c0d647cf33d87d0218ee78bdc9ef1222ef186755c5835a9

Observation 9bb08fdb-6546-42cc-a58f-b6fedd186b5b · outbound

This paper cites Robust compressed sensing MRI with deep generative priors.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Robust compressed sensing MRI with deep generative priors

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.988944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.612126Z digest=sha256:f807d719127da3c0a2873f0de6f4ba76691e17565ce1ea542869321a4412a8f9

Observation 6ee41398-9a34-4276-8821-57013c6fe735 · outbound

This paper cites Technical Report (v1.0)--Pseudo-random Cartesian Sampling for Dynamic MRI.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Technical Report (v1.0)--Pseudo-random Cartesian Sampling for Dynamic MRI

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.616990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.616990Z digest=sha256:4e80119e66ac8107cfd31c35b10fcc4b967fde57d9ac6dcf6a1ce14fe83b3a4f

Observation 6c4a4c8a-94dd-4158-ae32-a6a7d5ee6d6f · outbound

This paper cites Progressive growing of GAN s for improved quality, stability, and variation.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Progressive growing of GAN s for improved quality, stability, and variation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.972618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.622782Z digest=sha256:586b3fddb9d1d3db705688780ce6fc8e611c58f050c47971331e95ca9da63f8b

Observation 604ee242-0e47-46ce-b343-b1cdb5a9a352 · outbound

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

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems A style-based generator architecture for generative adversarial networks

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.957130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.627736Z digest=sha256:36b7704248f3a6be7ad8bc5339035dadc18c663891925eb0d74872330bce4294

Observation 327779a5-d6b0-4f02-a50e-b58cc9fdbdea · outbound

This paper cites Image quality assessment for magnetic resonance imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Image quality assessment for magnetic resonance imaging

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.939476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.633014Z digest=sha256:7b33cab25ca035e995859f2822612f747094a507ef0bbf7768a8985a9cb0b6be

Observation 1e6a09b8-0f41-4422-a21f-541f3a07a991 · outbound

This paper cites Denoising diffusion restoration models.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Denoising diffusion restoration models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.920239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.638719Z digest=sha256:0d8bb219188e2d938ab0fb2b79d91fefdf092c32e3efa408f8f6d04ff1af6d8a

Observation 6b6844ba-e59f-4ef0-b855-e5eedc92a641 · outbound

This paper cites Denoising diffusion restoration models.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Denoising diffusion restoration models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.902501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.643849Z digest=sha256:caa6a10e2d283dd8d3efb4cead5734592836423778b524a476ff342c6a67108f

Observation 4b04029d-9a03-4662-a71f-d247baca29b9 · outbound

This paper cites What uncertainties do we need in B ayesian deep learning for computer vision? In Proc.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems What uncertainties do we need in B ayesian deep learning for computer vision? In Proc

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.886275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.648632Z digest=sha256:cdceb74cdca302da7e6c2f6138fbf54691eb0dc5db193bd6eb2b79f1a9c52a54

Observation 5df5ce5d-e38f-4250-998d-44697e4bfd3b · outbound

This paper cites Deep-learning methods for parallel magnetic resonance imaging reconstruction: A survey of the current approaches, trends, and issues.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Deep-learning methods for parallel magnetic resonance imaging reconstruction: A survey of the current approaches, trends, and issues

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.870019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.653988Z digest=sha256:de1f65ab934cc4f4e5706984ca9af08ff19d6ee53ce93119768e8f28c86d7e3a

Observation 70a3cbc8-bbf7-4e74-85d8-b60c9067d32b · outbound

This paper cites Regression quantiles.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Regression quantiles

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.658838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.658838Z digest=sha256:1dfded0ae7901e3df844aed7116b82bca1763b85388ddedcc71a5d043b20dece

Observation 96442b4f-c5fe-491c-aa38-3810146a8477 · outbound

This paper cites Conformal prediction masks: V isualizing uncertainty in medical imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Conformal prediction masks: V isualizing uncertainty in medical imaging

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.853382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.664018Z digest=sha256:f798ce7ab28671c5298ef6851a2096048ee42dc5cc6941eb7e69cc6f8aeb49c2

Observation 40969b46-fd72-4aea-8143-7fc9b09c7848 · outbound

This paper cites Bayesian imaging using plug & play priors: W hen L angevin meets T weedie.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Bayesian imaging using plug & play priors: W hen L angevin meets T weedie

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.836295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.669032Z digest=sha256:05ab9b4d4df7ca50eea2603877ddc810d880999b94d104afb2ed2f8d79e36d89

Observation faf372c4-0113-42dc-9476-ee730f4a854e · outbound

This paper cites Distribution-free prediction bands for non-parametric regression.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Distribution-free prediction bands for non-parametric regression

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.674092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.674092Z digest=sha256:5024e33559caa3afa0b0f7b31b9fa1a609d25128abc4925b80c793bbcb2e55d8

Observation 524ccd99-e20c-4bec-ac61-9b979bf62ae9 · outbound

This paper cites Tibshirani, and Larry Wasserman.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Tibshirani, and Larry Wasserman

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.818425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.678831Z digest=sha256:d85ca360813862037549111a59f5e4bac3b0df06eae5d2f68a09b662af3a9acf

Observation 371c8503-4b3a-4211-9945-63edf9ce9f7e · outbound

This paper cites Perceptual visual quality metrics: A survey.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Perceptual visual quality metrics: A survey

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.801856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.683548Z digest=sha256:ad0f2cbcd68e40c8166091dab544e3770282a26bd474d134453b277491bb7a73

Observation e2a6feb5-c208-461b-b9d2-6d917f150c60 · outbound

This paper cites Convolutional neural networks as a model of the visual system: P ast, present, and future.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Convolutional neural networks as a model of the visual system: P ast, present, and future

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.784023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.688231Z digest=sha256:0c0add85ecc43c66d6ffd5f1fef32eeefbfeac557d1e75f7ad86582cda977b69

Observation a5abf614-876d-4c2c-8eeb-d6e82b4391cb · outbound

This paper cites Results of the 2020 fastMRI challenge for machine learning MR image reconstruction.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Results of the 2020 fastMRI challenge for machine learning MR image reconstruction

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.765866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.693419Z digest=sha256:fe30ea8230283480ab35551737286b2104b3a213d6303c2e52cc9fb6d90bde62

Observation ec8ddacd-cc21-4487-9f35-f5657fe44f9a · outbound

This paper cites Bayesian uncertainty estimation of learned variational MRI reconstruction.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Bayesian uncertainty estimation of learned variational MRI reconstruction

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.749153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.698358Z digest=sha256:52fd708dc65cb06cfbf53873b0ad285fd2e301f16ea83c7e09e8c3b758e6e0c7

Observation cd20fad6-c313-45e8-9e69-aac49a192bb9 · outbound

This paper cites Posterior-variance-based error quantification for inverse problems in imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Posterior-variance-based error quantification for inverse problems in imaging

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.730531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.703182Z digest=sha256:c07fa15049c438b5530ff26373683fbe6674512ba8415498ee862f5bf6552eb6

Observation 34b7a7de-f6f4-4c9c-8ebe-cb8f53441fe0 · outbound

This paper cites Inductive confidence machines for regression.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Inductive confidence machines for regression

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.708003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.708003Z digest=sha256:e9b1725c0b016122204db7549393634f49f83742b771f0b3b0309b81ce305aa0

Observation a3cfdb31-2248-420e-9d1e-31672a54ca11 · outbound

This paper cites PyTorch: A n imperative style, high-performance deep learning library.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems PyTorch: A n imperative style, high-performance deep learning library

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.712326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.713874Z digest=sha256:d8105732c943dd81805d165010b02c8cdb8bce46ba600e4685169b84f56105a3

Observation 673f5d11-a69a-49df-b463-d17f85d387e2 · outbound

This paper cites The NMR phased array.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems The NMR phased array

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.693381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.719720Z digest=sha256:111c317a54ed564fbc9ccf6eec2911cd25526ba98e6eaa9def2b8304a5433588

Observation eee6b8f5-4821-4443-a94b-f27c9616e45f · outbound

This paper cites Conformalized Quantile Regression.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Conformalized Quantile Regression

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.726151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.726151Z digest=sha256:8cf03f8b491791ed5c46379f20f6177eebaaa48dbe7e5646bffaf9923269507a

Observation 6ae6f145-f76c-435d-b76b-aa88280a5351 · outbound

This paper cites Semantic uncertainty intervals for disentangled latent spaces.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Semantic uncertainty intervals for disentangled latent spaces

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T21:34:57.732535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:34:57.732535Z digest=sha256:f47a5d4e167b0096327fa8a63ac7602225997a388b1ea6c65c150f850ec28613

Observation b570dd69-6c7d-44ae-a6b8-eff5a3a4baf9 · outbound

This paper cites Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, and Patricia Johnson.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, and Patricia Johnson

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.676617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.738354Z digest=sha256:7d6ce4408db52f3996055a5b5d090d9a60a99cc17cb0b53229db23042f1ec16b

Observation dcfeb408-9e4c-4b96-bda5-b5a58c24a385 · outbound

This paper cites Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, and Patricia Johnson.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Lawrence Zitnick, Nafissa Yakubova, Florian Knoll, and Patricia Johnson

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.659172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.743651Z digest=sha256:93e3c30c271db09a0608b94ab4508f806ec2b5c3d031435301c69e35173f4f03

Observation 42d92cef-2197-434d-a2c3-52a46530dc9e · outbound

This paper cites Generative Flows with Invertible Attentions.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Generative Flows with Invertible Attentions

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:34:57.908988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.748511Z digest=sha256:74e53d75bdc3c98f4259fbc85e51b0b91a9feae7496556474accab505e324d1b

Observation d19084bf-3107-40c8-b9fb-1d3e189ffb65 · outbound

This paper cites Deep probabilistic imaging: U ncertainty quantification and multi-modal solution characterization for computational imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Deep probabilistic imaging: U ncertainty quantification and multi-modal solution characterization for computational imaging

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.640364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.753682Z digest=sha256:4b7dfad086bfca5bda6f653eabc80693b0f33f947ee68b1c24b58e35cf14a69b

Observation 9d283c02-2e72-4be4-83aa-ad3935a42b32 · outbound

This paper cites Webster Stayman, and Jeremias Sulam.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Webster Stayman, and Jeremias Sulam

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.619946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.759048Z digest=sha256:69561a63535086873caa83bbb25d5f043b4572ed3fd242bf7d65dc84a0d7588b

Observation 80a0c07a-fb61-4a42-afa6-c640cd884b4b · outbound

This paper cites Conformal prediction under covariate shift.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Conformal prediction under covariate shift

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.597826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.763781Z digest=sha256:8ae7938932913ab8706f838b3cf5fafeb63edab89a9554f1142fba76cd0a143a

Observation 64fab909-0fe9-4874-b32a-961c1862edfd · outbound

This paper cites Hallucination index: A n image quality metric for generative reconstruction models.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Hallucination index: A n image quality metric for generative reconstruction models

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.579304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.768565Z digest=sha256:2f2983dff100bd33ec1352a94ce56b53c4ea4d8a07d80b5762d6d835125a79b1

Observation 7f83a1b0-8712-4011-8a3c-cfe8d1c673b5 · outbound

This paper cites Variational inference for computational imaging inverse problems.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Variational inference for computational imaging inverse problems

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.559480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.773742Z digest=sha256:6df0aa72fba028c7fe9a341f06d686e2c565ee8f2f8a243569fdbff7160689ab

Observation 036db317-8800-4db9-b625-2ad5ac151e46 · outbound

This paper cites Algorithmic Learning in a Random World.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Algorithmic Learning in a Random World

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.538343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.779215Z digest=sha256:12b3b1a84c9e30be3447dfde361d6667439045b2ac513d1dff057a37991f12f7

Observation f9a49e5d-3af0-45e3-b55c-24dab71d3126 · outbound

This paper cites Applications of objective image quality assessment methods.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Applications of objective image quality assessment methods

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.520248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.784268Z digest=sha256:e38789e9b3c32145e2c2e8b6734dd71c917772118b8751e971c82e0d88f9ff75

Observation 958b6f0e-8bb3-423b-aa33-6f7e1fdc1584 · outbound

This paper cites Image quality assessment: F rom error visibility to structural similarity.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Image quality assessment: F rom error visibility to structural similarity

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.503490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.788973Z digest=sha256:09f02cb44c22e7941e89926a6bdf9d3fda884c3ce6952246acd70db272cb9c5d

Observation 30aef41d-a9a0-4cb6-81d0-3e179824e17a · outbound

This paper cites A conditional normalizing flow for accelerated multi-coil MR imaging.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems A conditional normalizing flow for accelerated multi-coil MR imaging

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.486660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.794022Z digest=sha256:52af7113bac105c17c68de87de17e0b63d65e779ba68c4f724b3bd4f548dae1e

Observation 310a87af-9867-4357-bf48-fb4b9541dd17 · outbound

This paper cites MRI CNF , 2023 b.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems MRI CNF , 2023 b

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:34:58.469542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T21:34:57.799172Z digest=sha256:5a86c0ededd69f4b3f213018679a17a185bf876c547badb7509e8cfe6ad32fde

Observation 4c2833a5-43dd-46d9-8f77-cd3fe37f4c10 · outbound

This paper cites Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Task-Driven Uncertainty Quantification in Inverse Problems via Conformal Prediction

Reference 72

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Observation 9f7a0de0-cc04-493e-8ab3-dde9f260539b · outbound

This paper cites Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors

Reference 73

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This paper cites Reliable deep-learning-based phase imaging with uncertainty quantification.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Reliable deep-learning-based phase imaging with uncertainty quantification

Reference 74

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Observation 655ba3cc-7847-438e-a9c6-2f9005fedaaa · outbound

This paper cites Using goal-driven deep learning models to understand sensory cortex.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Using goal-driven deep learning models to understand sensory cortex

Reference 75

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Observation 731cbfc2-9300-43b0-b576-100bafb1287c · outbound

This paper cites Stable deep MRI reconstruction using generative priors.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems Stable deep MRI reconstruction using generative priors

Reference 76

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Observation c22ef285-0a8c-4755-8d98-f2e50d215214 · outbound

This paper cites fastMRI: An Open Dataset and Benchmarks for Accelerated MRI.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 77

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Observation fed2c854-fb7f-463a-8937-c7ff4acf5e2e · outbound

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

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems The unreasonable effectiveness of deep features as a perceptual metric

Reference 78

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Observation 9e8eea89-5737-4105-b471-9444ba6dec7e · outbound

This paper cites write newline.

Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems write newline

Reference 79

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Pith citing papers

Observation 03faaefa-7cc0-4ecf-8197-6d80440c6313 · inbound

Flow-Based Conformal Predictive Distributions cites this paper.

Flow-Based Conformal Predictive Distributions Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems

Reference 45

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