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Paper Citation Record · LEDGER

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations

As of 17 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2508.09205.

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

pith.paper-citation-record.v1
2508.09205 v2

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:30:32.077491Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

48 of 48 outbound references displayed

  • verified exact28
  • verified fuzzy8
  • unresolved9
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f4a2f030-2840-4973-a10c-85ffe85ea248 · outbound

This paper cites Magnetic Resonance Cholangiopancreatography.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Magnetic Resonance Cholangiopancreatography

Reference 1

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verified exact
doi, observed 2026-08-05T22:30:32.549577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 42cad1d8-f321-403a-8206-13497f03d7fe · outbound

This paper cites MR Cholangiography: Technical Advances and Clinical Applications.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations MR Cholangiography: Technical Advances and Clinical Applications

Reference 2

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.538729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2357fb9e-c4fd-447b-8ca9-5b06b8a5295e · outbound

This paper cites A systematic review and economic evaluation of magnetic resonance cholangiopancreatography compared with diagnostic endoscopic retrograde cholangiopancreatography.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations A systematic review and economic evaluation of magnetic resonance cholangiopancreatography compared with diagnostic endoscopic retrograde cholangiopancreatography

Reference 3

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verified exact
doi, observed 2026-08-05T22:30:32.527657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 265b6194-d7b8-417d-8649-cd42786e0ea2 · outbound

This paper cites Optimal MR cholangiopancreatographic sequence and its clinical application.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Optimal MR cholangiopancreatographic sequence and its clinical application

Reference 4

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.513029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 46aef30b-fc6a-4cea-b956-b7e17dc117da · outbound

This paper cites an unresolved cited work.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Unresolved cited work

Reference 5

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verified exact
doi, observed 2026-08-05T22:30:32.500923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b0f77c7f-f164-43a8-84a3-90156008a274 · outbound

This paper cites Usefulness of the SPACE pulse sequence at 1.5T MR cholangiography: Comparison of image quality and image acquisition time with conventional 3D��TSE sequence.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Usefulness of the SPACE pulse sequence at 1.5T MR cholangiography: Comparison of image quality and image acquisition time with conventional 3D��TSE sequence

Reference 6

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.488816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 40a392f5-eae5-4d08-9f56-8d607e5a0548 · outbound

This paper cites 3D T2-weighted and Gd-EOB-DTPA-enhanced 3D T1-weighted MR cholangiography for evaluation of biliary anatomy in living liver donors.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations 3D T2-weighted and Gd-EOB-DTPA-enhanced 3D T1-weighted MR cholangiography for evaluation of biliary anatomy in living liver donors

Reference 7

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.477119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f58fc854-acee-4a26-982c-2913f0ece276 · outbound

This paper cites Clinical Feasibility of 3-Dimensional Magnetic Resonance Cholangiopancreatography Using Compressed Sensing: Comparison of Image Quality and Diagnostic Performance.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Clinical Feasibility of 3-Dimensional Magnetic Resonance Cholangiopancreatography Using Compressed Sensing: Comparison of Image Quality and Diagnostic Performance

Reference 8

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.464946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3ccd6fd4-6453-4017-a509-9dca70dab395 · outbound

This paper cites Navigator��triggered prospective acquisition correction (PACE) technique vs.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Navigator��triggered prospective acquisition correction (PACE) technique vs

Reference 9

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verified exact
doi, observed 2026-08-05T22:30:32.452738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation f742335c-900f-4399-b5b8-e45b1bd56151 · outbound

This paper cites Breath-held MR Cholangiopancreatography (MRCP) using a 3D Dixon fat–water separated balanced steady state free precession sequence.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Breath-held MR Cholangiopancreatography (MRCP) using a 3D Dixon fat–water separated balanced steady state free precession sequence

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e72d5cb4-287d-4f37-88a6-3b44f43bdf27 · outbound

This paper cites MR cholangiopancreatography at 3.0 T in children: diagnostic quality and ability in assessment of common paediatric pancreatobiliary pathology.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations MR cholangiopancreatography at 3.0 T in children: diagnostic quality and ability in assessment of common paediatric pancreatobiliary pathology

Reference 11

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.428591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 09f3300f-4aa5-4802-b778-a6127e194eaf · outbound

This paper cites Possible Biliary Disease: Diagnostic Performance of High-Spatial-Resolution Isotropic 3D T2-weighted MRCP.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Possible Biliary Disease: Diagnostic Performance of High-Spatial-Resolution Isotropic 3D T2-weighted MRCP

Reference 12

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.416102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e78b51bf-570d-4b8d-8597-067a1a4a3e05 · outbound

This paper cites Breath-holding 3D MRCP: the time is now? ��������������������.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Breath-holding 3D MRCP: the time is now? ��������������������

Reference 13

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.402475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cb60e593-6632-4f77-8fba-229ebe8a1a00 · outbound

This paper cites Magnetic resonance cholangiopancreatography with GRASE sequence at 3.0T: does it improve image quality and acquisition time as compared with 3D TSE? ��������������������.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Magnetic resonance cholangiopancreatography with GRASE sequence at 3.0T: does it improve image quality and acquisition time as compared with 3D TSE? ��������������������

Reference 15

Resolution
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doi_truncated, observed 2026-08-05T22:30:32.389508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 440619bf-509d-4d8a-b1d5-3f98e8786347 · outbound

This paper cites Rapid 3D navigator-triggered MR cholangiopancreatography with SPACE sequence at 3T: only one-third acquisition time of conventional 3D SPACE navigator-triggered MRCP.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Rapid 3D navigator-triggered MR cholangiopancreatography with SPACE sequence at 3T: only one-third acquisition time of conventional 3D SPACE navigator-triggered MRCP

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 2026-08-17T06:30:58.91139+00:00.

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Observation 68525ac0-1e56-4a4e-abcc-fad3687d5705 · outbound

This paper cites Three-dimensional MR Cholangiopancreatography in a Breath Hold with Sparsity-based Reconstruction of Highly Undersampled Data.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Three-dimensional MR Cholangiopancreatography in a Breath Hold with Sparsity-based Reconstruction of Highly Undersampled Data

Reference 17

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cd6063e4-9419-45c6-8eb4-5c18076e085b · outbound

This paper cites Compressed-Sensing Accelerated 3-Dimensional Magnetic Resonance Cholangiopancreatography: Application in Suspected Pancreatic Diseases.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Compressed-Sensing Accelerated 3-Dimensional Magnetic Resonance Cholangiopancreatography: Application in Suspected Pancreatic Diseases

Reference 18

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.350766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d63d7734-7515-4ff0-b39d-a185c5dba342 · outbound

This paper cites an unresolved cited work.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Unresolved cited work

Reference 19

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verified exact
doi, observed 2026-08-05T22:30:32.338866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 05fd8580-c2d6-4b98-a848-857891206e8b · outbound

This paper cites Patient-adapted respiratory training: Effect on navigator-triggered 3D MRCP in painful pancreatobiliary disorders.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Patient-adapted respiratory training: Effect on navigator-triggered 3D MRCP in painful pancreatobiliary disorders

Reference 20

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5c1fa9a3-2ef2-4ba6-8067-251b77b7c873 · outbound

This paper cites Sparse MRI: The application of compressed sensing for rapid MR imaging.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Sparse MRI: The application of compressed sensing for rapid MR imaging

Reference 21

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f4379859-99b5-4f14-89d3-24ce8d85a685 · outbound

This paper cites Assessment of reproducibility and stability of different breath-hold maneuvres by dynamic MRI: comparison between healthy adults 23 and patients with pulmonary hypertension.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Assessment of reproducibility and stability of different breath-hold maneuvres by dynamic MRI: comparison between healthy adults 23 and patients with pulmonary hypertension

Reference 22

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a0c61356-a208-438a-8487-6bd1452d1faa · outbound

This paper cites Breath-hold and free-breathing quantitative assessment of biventricular volume and function using compressed SENSE: a clinical validation in children and young adults.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Breath-hold and free-breathing quantitative assessment of biventricular volume and function using compressed SENSE: a clinical validation in children and young adults

Reference 23

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 38983a36-d5bf-4eef-a72d-dcfce589b423 · outbound

This paper cites Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI

Reference 24

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ebea95c9-4b9c-4d9c-9329-033f557e336c · outbound

This paper cites Accelerated T1ρ acquisition for knee cartilage quantification using compressed sensing and data-driven parallel imaging: A feasibility study.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Accelerated T1ρ acquisition for knee cartilage quantification using compressed sensing and data-driven parallel imaging: A feasibility study

Reference 25

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c544eab1-38ba-44f2-af00-921aaa0dd03d · outbound

This paper cites MoDL: Model-Based Deep Learning Architecture for Inverse Problems.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations MoDL: Model-Based Deep Learning Architecture for Inverse Problems

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 001ff4f0-d5fb-4490-8656-d55da22fd35e · outbound

This paper cites Deep Learning��Based Accelerated MR Cholangiopancreatography Without Fully��Sampled Data.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Deep Learning��Based Accelerated MR Cholangiopancreatography Without Fully��Sampled Data

Reference 27

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.254229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a22a90a1-9b25-4eaf-9688-3471b7d9e47c · outbound

This paper cites Self��supervised learning of physics��guided reconstruction neural networks without fully sampled reference data.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Self��supervised learning of physics��guided reconstruction neural networks without fully sampled reference data

Reference 28

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9c3f5138-4e8f-48b2-b213-618f6edaf559 · outbound

This paper cites Zero-Shot Self-Supervised Learning for MRI Reconstruction.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Zero-Shot Self-Supervised Learning for MRI Reconstruction

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:30:32.962096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0cc7fe37-2223-4cc8-8796-5ef52e9a6c9b · outbound

This paper cites Scan��specific robust artificial��neural�� networks for k��space interpolation (RAKI) reconstruction: Database��free deep learning for fast imaging.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Scan��specific robust artificial��neural�� networks for k��space interpolation (RAKI) reconstruction: Database��free deep learning for fast imaging

Reference 30

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.231594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 0b20af58-d399-429b-ba48-39c846dffefc · outbound

This paper cites Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning

Reference 31

Resolution
metadata mismatch
raw_fallback, observed 2026-08-05T22:30:32.786736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 45276e33-439f-44ad-b9e9-775d1823e5d9 · outbound

This paper cites Deep Image Prior.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Deep Image Prior

Reference 32

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6b00da95-b851-4c6a-9633-9a019f07871b · outbound

This paper cites Implicit neural representations with periodic activation functions.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Implicit neural representations with periodic activation functions

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:30:32.950326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T22:30:32.023168Z digest=sha256:c6007fa7bef7a4cd046d3bfad2ba8c941aeb8a466ab241eed8413e686a11c9a9

Observation 01901d0b-9c82-44c7-840e-5ebc5b6e7fbf · outbound

This paper cites Improved Multi-shot Diffusion-Weighted MRI with Zero-Shot Self-supervised Learning Reconstruction.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Improved Multi-shot Diffusion-Weighted MRI with Zero-Shot Self-supervised Learning Reconstruction

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:30:32.938272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T22:30:32.026592Z digest=sha256:9424fdf82a59776fa9e0a845707a82d12601cc58e80ee0cb5b85ad86060cf889

Observation c4152981-2329-4d08-9db1-df87d279bf53 · outbound

This paper cites an unresolved cited work.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Unresolved cited work

Reference 35

Resolution
verified exact
raw_fallback, observed 2026-08-05T22:30:32.636317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T22:30:32.034151Z digest=sha256:66c6d682b06d295a3dce579e11af9e58dd6cd8e8657bf86e2a1525cc2e308e07

Observation 15b9e547-300a-4cd9-a395-a219f1a809ee · outbound

This paper cites ISMRM Raw data format: A proposed standard for MRI raw datasets.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations ISMRM Raw data format: A proposed standard for MRI raw datasets

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T22:30:32.038231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:30:32.038231Z digest=sha256:c02b396384ce1a38f2b6c2481b4d96752430d3ae7052b05a2190c852b7826c9a

Observation 8efc26d6-6ad2-4310-9f95-31e19f26f798 · outbound

This paper cites Python port of mapVBVD.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Python port of mapVBVD

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:30:32.924519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T22:30:32.042395Z digest=sha256:a7295a0e78730d9e97f6de3aa73421241a67813afb2c7888990607c9d4d6ade1

Observation 371bcee8-9f71-4641-868e-10e4c0083efc · outbound

This paper cites ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations ESPIRiT—an eigenvalue approach to autocalibrating parallel MRI: Where SENSE meets GRAPPA

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T22:30:32.046808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:30:32.046808Z digest=sha256:8d9f51cc865ffafbf078e59949461a6c310136ba510c05d96e703107961e35df

Observation 909a2be4-04f1-46a5-acf4-65cb62a683fc · outbound

This paper cites SigPy: A Python Package for High Performance Iterative Reconstruction.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations SigPy: A Python Package for High Performance Iterative Reconstruction

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:30:32.911228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T22:30:32.050728Z digest=sha256:8c422711ebef73a41c86a7799eba838b34f5d91ed10eaed9111a86b6c7a3f941

Observation cdbfe65f-d01a-4782-80ab-cb5cd3d1c7e9 · outbound

This paper cites Deep Residual Learning for Image Recognition.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Deep Residual Learning for Image Recognition

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T22:30:32.054663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:30:32.054663Z digest=sha256:bbd5bdf115bc944d578905289541d35d37647a969aeb5d6dd922730ba8cde659

Observation 7dbe019d-7015-4ef9-996f-fb4cd3aa59dd · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T22:30:32.058198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:30:32.058198Z digest=sha256:7405bb82b22ce7721c5cc6d364c10c01ee2121870933005f5e6292f30a5ea701

Observation 35cc1645-3995-4a51-94d3-f3cc8c923131 · outbound

This paper cites Generalized autocalibrating partially parallel acquisitions (GRAPPA).

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Generalized autocalibrating partially parallel acquisitions (GRAPPA)

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T22:30:32.062407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:30:32.062407Z digest=sha256:da243d1a1cdb5d47ed7cc173fba2176e8f66193ca9cf56b8d15e1829af0dfc01

Observation 62473bf7-3aba-4239-b956-c02793fb2963 · outbound

This paper cites Python implementations of GRAPPA-like algorithms.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Python implementations of GRAPPA-like algorithms

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:30:32.897512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T22:30:32.065807Z digest=sha256:14762881f3ae63d97a33a7d1c4b6ad2eb16037a7385ba7cf7ed43664d3a164bd

Observation e1c4daf7-2124-4cf0-9772-9df1b70497f7 · outbound

This paper cites Patients’ experiences in magnetic resonance imaging (MRI) and their experiences of breath holding techniques.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Patients’ experiences in magnetic resonance imaging (MRI) and their experiences of breath holding techniques

Reference 44

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.141114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T22:30:32.073546Z digest=sha256:7239c972be55e001610d051fdb11850da795d7fbc0167aba1f5146219af1e370

Observation bf092763-6973-4a34-9f8f-d45241cf4f7d · outbound

This paper cites Robust partial Fourier reconstruction for diffusion��weighted imaging using a recurrent convolutional neural network.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Robust partial Fourier reconstruction for diffusion��weighted imaging using a recurrent convolutional neural network

Reference 45

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.110983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T22:30:32.077491Z digest=sha256:100302481f09dab9bab063e7a4bb820c72f90324eb60dc18c022d8118e7dc204

Observation 7ff45686-c974-48af-8499-951d269cfcb2 · outbound

This paper cites an unresolved cited work.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Unresolved cited work

Reference 140

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.376503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T22:30:31.957741Z digest=sha256:94fe1ba3c07a9d2d723eedea89b94050dcc4d22a6f4c321082f295b1ece1620a

Observation e012821f-3ef5-4025-96b2-a1b18e9c0149 · outbound

This paper cites an unresolved cited work.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Unresolved cited work

Reference 466

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.217922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T22:30:32.030374Z digest=sha256:63f464fb045531dbd9f60a83008fecf44f27bfc39f3b55b5b5837e89bdfc10e1

Observation 87f98850-3f76-4f30-be6f-7d92999c5d32 · outbound

This paper cites an unresolved cited work.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Unresolved cited work

Reference 1270

Resolution
verified exact
doi, observed 2026-08-05T22:30:32.440827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T22:30:31.932685Z digest=sha256:29a415e150362c6a480da9ddb7418046feb66c5b837b5720902ad93419cd3591

Observation 0a009d1e-890a-4a11-80fe-5ffdeadcd01b · outbound

This paper cites an unresolved cited work.

From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations Unresolved cited work

Reference 2025

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:30:32.883818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-05T22:30:32.069257Z digest=sha256:e017156d381f531134a9059441a53e4f6d6fdde035ec337e2c64905a98df3baf

Pith citing papers

No inbound Pith citation observations are available.