Paper Citation Record · LEDGER

Agentic Autoresearch for CT Reconstruction

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.22824.

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

pith.paper-citation-record.v1
2607.22824 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T04:29:56.468841Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

40 of 40 outbound references displayed

verified exact7
verified fuzzy0
unresolved31
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8bc2619a-677f-48ef-8ab2-55def168e373 · outbound

This paper cites Sidky and Xiaochuan Pan.

Agentic Autoresearch for CT Reconstruction Sidky and Xiaochuan Pan

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:51.276691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b4fd01d-bb35-4e47-9a26-f6d1a0937e53 · outbound

This paper cites Learned primal-dual reconstruction.IEEE Transactions on Medical Imaging, 37(6): 1322–1332,2018.

Agentic Autoresearch for CT Reconstruction Learned primal-dual reconstruction.IEEE Transactions on Medical Imaging, 37(6): 1322–1332,2018

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:51.425343Z

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Observation d0225352-3d2c-40ff-95aa-f03c01a7df2f · outbound

This paper cites LearningavariationalnetworkforreconstructionofacceleratedMRIdata.MagneticResonanceinMedicine, 79(6):3055–3071,2018.

Agentic Autoresearch for CT Reconstruction LearningavariationalnetworkforreconstructionofacceleratedMRIdata.MagneticResonanceinMedicine, 79(6):3055–3071,2018

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:51.507136Z

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Observation 92cc3387-4877-40a1-a72a-6b75a4adf72b · outbound

This paper cites Ghesu, Vincent Christlein, and Andreas Maier.

Agentic Autoresearch for CT Reconstruction Ghesu, Vincent Christlein, and Andreas Maier

Reference 4

Resolution: verified exact; doi, observed 2026-08-01T04:33:23.880466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9542d10c-4e32-497e-b0cf-3857189a9753 · outbound

This paper cites Deeplearningcomputedtomography: Learningprojection-domainweightsfromimagedomain 14 in limited angle problems.IEEE Transactions on Medical Imaging, 37(6):1454–1463, 2018.

Agentic Autoresearch for CT Reconstruction Deeplearningcomputedtomography: Learningprojection-domainweightsfromimagedomain 14 in limited angle problems.IEEE Transactions on Medical Imaging, 37(6):1454–1463, 2018

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:51.659844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 563ccb19-24a6-4c3d-9d9e-d78834c29d46 · outbound

This paper cites Deeplearningtechniquesforinverseproblemsinimaging.IEEEJournalonSelectedAreasinInformationTheory,1 (1):39–56,2020.

Agentic Autoresearch for CT Reconstruction Deeplearningtechniquesforinverseproblemsinimaging.IEEEJournalonSelectedAreasinInformationTheory,1 (1):39–56,2020

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:51.750715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fc001ce-2617-43b1-818f-a84af4733c0f · outbound

This paper cites Some investi- gations on robustness of deep learning in limited angle tomography.

Agentic Autoresearch for CT Reconstruction Some investi- gations on robustness of deep learning in limited angle tomography

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:51.802697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33cfb3db-a5a1-4820-b8c9-e79b94d628ee · outbound

This paper cites A gentle introduction to deep learning in medicalimageprocessing.ZeitschriftfürMedizinischePhysik,29(2):86–101,2019.doi: 10.1016/j.zemedi.2018.12.003.

Agentic Autoresearch for CT Reconstruction A gentle introduction to deep learning in medicalimageprocessing.ZeitschriftfürMedizinischePhysik,29(2):86–101,2019.doi: 10.1016/j.zemedi.2018.12.003

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:51.969847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 366aa960-5a78-4f5e-abba-9cbb357c48da · outbound

This paper cites Learning with known operators reduces maximum error bounds.NatureMachineIntelligence,1(8):373–380,2019.

Agentic Autoresearch for CT Reconstruction Learning with known operators reduces maximum error bounds.NatureMachineIntelligence,1(8):373–380,2019

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:52.124198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c3c0c45-2675-41c2-9363-51b6f6e42f2b · outbound

This paper cites Known operator learning and hybridmachinelearninginmedicalimaging—areviewofthepast,thepresent,andthefuture.ProgressinBiomedical Engineering,4(2):022002,2022.

Agentic Autoresearch for CT Reconstruction Known operator learning and hybridmachinelearninginmedicalimaging—areviewofthepast,thepresent,andthefuture.ProgressinBiomedical Engineering,4(2):022002,2022

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:52.243916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f4625c5-19db-45d5-99bd-1d9c6854489c · outbound

This paper cites A Deep Risk Estimator for Known Operator Learning.

Agentic Autoresearch for CT Reconstruction A Deep Risk Estimator for Known Operator Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:52.358771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04328075-c788-4283-ab0e-861bc05d1b0f · outbound

This paper cites autoresearch: AI agents running research automatically.

Agentic Autoresearch for CT Reconstruction autoresearch: AI agents running research automatically

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:52.504246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1cb1739-17b2-4f90-bf24-7c67a28daa6f · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

Agentic Autoresearch for CT Reconstruction The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:52.662897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 225ac8d6-5518-4239-bb39-01f2cd65739b · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

Agentic Autoresearch for CT Reconstruction SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:52.842526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b92ba9c-8183-41c9-aaf7-190cee970a01 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Agentic Autoresearch for CT Reconstruction SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:52.995111Z

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Unavailable: canonical work link unavailable.

Observation 9a55038d-9eff-4ee9-921d-ae878f33904f · outbound

This paper cites LectureNotesinComputerScience.Springer,2026.

Agentic Autoresearch for CT Reconstruction LectureNotesinComputerScience.Springer,2026

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:53.087169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eccf4347-fd6d-423d-8c42-b54ea7c403e4 · outbound

This paper cites Agentic MR sequence development: leveraging LLMs with MR skills for automatic physics-informed sequence development.

Agentic Autoresearch for CT Reconstruction Agentic MR sequence development: leveraging LLMs with MR skills for automatic physics-informed sequence development

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:53.204972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e29ddb05-5882-477c-8793-3b4ade30e005 · outbound

This paper cites HolmesIII,AliceE.Huang,FarhanaKhan,ShuaiLeng,KyleL.McMillan,GregoryJ.Michalak,KristinaM.Nunez, LifengYu,andJoelG.Fletcher.

Agentic Autoresearch for CT Reconstruction HolmesIII,AliceE.Huang,FarhanaKhan,ShuaiLeng,KyleL.McMillan,GregoryJ.Michalak,KristinaM.Nunez, LifengYu,andJoelG.Fletcher

Reference 18

Resolution: verified exact; doi, observed 2026-08-01T04:33:23.841527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b1cdeba1-5e24-461a-8f46-a9fc44168631 · outbound

This paper cites Techni- calnote: PYRO-NN:Pythonreconstructionoperatorsinneuralnetworks.MedicalPhysics,46(11):5110–5115,2019.

Agentic Autoresearch for CT Reconstruction Techni- calnote: PYRO-NN:Pythonreconstructionoperatorsinneuralnetworks.MedicalPhysics,46(11):5110–5115,2019

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:53.473624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 942a134d-cfd5-4d53-9093-18c40550602d · outbound

This paper cites Reconstruct anything model: A lightweight general model for computational imaging.

Agentic Autoresearch for CT Reconstruction Reconstruct anything model: A lightweight general model for computational imaging

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:53.568943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c8988cb-513e-4355-b0d2-8f56441406f3 · outbound

This paper cites Sidky and Xiaochuan Pan.

Agentic Autoresearch for CT Reconstruction Sidky and Xiaochuan Pan

Reference 21

Resolution: malformed identifier; no resolver link, observed 2026-08-01T04:29:53.749870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d7722cb-7a51-456a-9def-d1eeb9622d6f · outbound

This paper cites A novel filtered backprojection-based algorithm for sparse-view CT image reconstruction.

Agentic Autoresearch for CT Reconstruction A novel filtered backprojection-based algorithm for sparse-view CT image reconstruction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:53.921394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1359eccc-2047-4d90-99cc-9fd0af3c54fb · outbound

This paper cites ProjectionspacedenoisingwithbilateralfilteringandCTnoisemodelingfordosereductioninCT.

Agentic Autoresearch for CT Reconstruction ProjectionspacedenoisingwithbilateralfilteringandCTnoisemodelingfordosereductioninCT

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:54.024217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0edc9d01-5708-4a07-b838-eeaf3bca2145 · outbound

This paper cites Ultralow-parameterdenoising: Trainable bilateral filter layers in computed tomography.MedicalPhysics, 49(8):5107–5120, 2022.

Agentic Autoresearch for CT Reconstruction Ultralow-parameterdenoising: Trainable bilateral filter layers in computed tomography.MedicalPhysics, 49(8):5107–5120, 2022

Reference 24

Resolution: malformed identifier; no resolver link, observed 2026-08-01T04:29:54.146269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 597713ea-4b9f-49c7-a780-522a14190fb8 · outbound

This paper cites Maltz, and Hengyong Yu.

Agentic Autoresearch for CT Reconstruction Maltz, and Hengyong Yu

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:54.269417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec5538c7-957b-4b60-9a31-024ae1398c05 · outbound

This paper cites SwinIR: Image restora- tion using Swin transformer.

Agentic Autoresearch for CT Reconstruction SwinIR: Image restora- tion using Swin transformer

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:54.496865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f14f0a9b-6f93-47c8-bc51-c7ee60e0880a · outbound

This paper cites Swintransformer: Hierarchicalvisiontransformerusingshiftedwindows.

Agentic Autoresearch for CT Reconstruction Swintransformer: Hierarchicalvisiontransformerusingshiftedwindows

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:54.609343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cbbd7db-e7dc-411b-8965-c96e8803fdf8 · outbound

This paper cites TransCT: Dual-path Transformer for Low Dose Computed Tomography.

Agentic Autoresearch for CT Reconstruction TransCT: Dual-path Transformer for Low Dose Computed Tomography

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:54.793228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0e32eff-da68-46d9-aacc-54bc9b71a130 · outbound

This paper cites A deep learning architecture for limited- angle computed tomography reconstruction.

Agentic Autoresearch for CT Reconstruction A deep learning architecture for limited- angle computed tomography reconstruction

Reference 29

Resolution: verified exact; doi, observed 2026-08-01T04:33:23.805073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4e4cf01e-658a-488f-aace-a5c5b2236232 · outbound

This paper cites On the benefit of dual-domain denoisinginaself-supervisedlow-doseCTsetting.

Agentic Autoresearch for CT Reconstruction On the benefit of dual-domain denoisinginaself-supervisedlow-doseCTsetting

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:55.153648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37399888-23a6-4669-863f-53f6c62efbe1 · outbound

This paper cites Hendriksen, Daniël M.

Agentic Autoresearch for CT Reconstruction Hendriksen, Daniël M

Reference 31

Resolution: verified exact; doi, observed 2026-08-01T04:33:23.796211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b10c8026-a854-4d63-8932-f44e0de7c99c · outbound

This paper cites DM4CT:Benchmarkingdiffusionmodelsforcomputedtomog- raphyreconstruction.

Agentic Autoresearch for CT Reconstruction DM4CT:Benchmarkingdiffusionmodelsforcomputedtomog- raphyreconstruction

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:55.532268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee71779b-a933-4f31-9e34-e3aa302f8b9a · outbound

This paper cites WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis.

Agentic Autoresearch for CT Reconstruction WDM: 3D Wavelet Diffusion Models for High-Resolution Medical Image Synthesis

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:55.649055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b5ec4cc-61be-442f-8329-31c76ecd6626 · outbound

This paper cites Solving Inverse Problems in Medical Imaging with Score-Based Generative Models.

Agentic Autoresearch for CT Reconstruction Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:55.742631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d43620c6-e240-4cf0-a9c8-65893db2505e · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Agentic Autoresearch for CT Reconstruction Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:55.882651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b7f69fc-5b66-45cb-b87b-da15b1a496d8 · outbound

This paper cites NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction.

Agentic Autoresearch for CT Reconstruction NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:56.037265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bc81cff-46e5-4f30-82fd-eaa52fb9ac4b · outbound

This paper cites R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction.

Agentic Autoresearch for CT Reconstruction R$^2$-Gaussian: Rectifying Radiative Gaussian Splatting for Tomographic Reconstruction

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T04:29:56.196791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b52979c5-a62f-42ef-8789-823dbd083963 · outbound

This paper cites A review on 3D Gaussian splattingforsparseviewreconstruction.ArtificialIntelligenceReview,58:215,2025.doi: 10.1007/s10462-025-11171-4.

Agentic Autoresearch for CT Reconstruction A review on 3D Gaussian splattingforsparseviewreconstruction.ArtificialIntelligenceReview,58:215,2025.doi: 10.1007/s10462-025-11171-4

Reference 38

Resolution: verified exact; doi, observed 2026-08-01T04:33:23.787575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8afa0b79-6cfe-498f-8a9c-fc57d798169d · outbound

This paper cites Single-slicerebinningmethodforhelicalcone-beamCT.Physics inMedicine&Biology,44(2):561–570,1999.

Agentic Autoresearch for CT Reconstruction Single-slicerebinningmethodforhelicalcone-beamCT.Physics inMedicine&Biology,44(2):561–570,1999

Reference 39

Resolution: verified exact; doi, observed 2026-08-01T04:33:23.778423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a1b5e40-1fd6-43a8-8127-1b42ca931116 · outbound

This paper cites an unresolved cited work.

Agentic Autoresearch for CT Reconstruction Unresolved cited work

Reference 2024

Resolution: verified exact; doi, observed 2026-08-01T04:33:23.813956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.