Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:59:31.477009Z
Paper Citation Record · LEDGER
As of 22 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2412.16979.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:59:31.477009Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
59 of 59 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8a095c83-a19d-473c-9744-5425c44cbd7f · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Robust imaging using electrical impedance tomography: review of current tools,
Reference 1
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Observation 53d7d283-f091-41bd-9fba-335972d8a194 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Electrical impedance tomography in acute respiratory distress syndrome,
Reference 2
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Observation 20c5eec8-425c-4cc4-8224-12ed2bed9c20 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Realistic forward and inverse model mesh generation for rapid three-dimensional thoracic electrical impedance imaging,
Reference 3
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Observation 883c2faf-92fc-4842-a593-6fafe75e1d43 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Stimulation and measurement patterns versus prior information for fast 3d eit: a breast screening case study,
Reference 4
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Observation 01cc4788-a06e-405c-9487-e8f88c7c087b · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Application of process tomography to multiphase flow measurement in industrial and biomedical fields: A review,
Reference 5
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Observation 378fe000-5b24-4b8e-b7b8-1518fca41c23 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Tactile sensing using ma- chine learning-driven electrical impedance tomography,
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Observation 2e40371d-edf5-47c8-b37f-48548e24f9e8 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Improved tactile stimulus reconstruction in electrical impedance tomography using the discrete cosine transform and machine learning,
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Observation db5b9264-6610-48c5-a681-955a8151fa0a · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Resolution enhancement of electrical resistivity tomography based on deep learning,
Reference 8
Source-reported events for the cited work
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Observation e0248de0-7d4b-4cfe-ba8d-01c54293e801 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Mukhopadhyay, Ed., Next generation sensors and systems , ser
Reference 9
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 110e2182-ffcd-4731-a95e-7ccad04cf558 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Enhanced circular dichroism for achiral sensing based on a DNA-origami-empowered anapole metasurface,
Reference 10
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Observation 03c13e23-9b9a-4f62-a88f-4d54bfc98335 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Scattering exceptional point in the visible,
Reference 11
Source-reported events for the cited work
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Observation 630a76ae-b4cb-4c96-91cf-81be88762f76 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Advances in electrical impedance tomography inverse problem solution methods: From traditional regularization to deep learning,
Reference 12
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Observation 3ea4b4af-4509-40aa-a9e9-f1180e3713c7 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Adler and D
Reference 13
Source-reported events for the cited work
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Observation a6da4f33-bfa8-4177-a2f6-aa2778d7a9cc · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Tactile sensing using machine learning-driven electrical impedance tomography,
Reference 14
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Observation 5e9d5871-6dff-41e4-b550-033ab57a74c7 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Review on electrical impedance tomog- raphy: Artificial intelligence methods and its applications,
Reference 15
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Observation eee0290b-e8d9-4926-8d02-25bbfac6c0f1 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Applied potential tomography,
Reference 16
Source-reported events for the cited work
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Observation 1b4bb373-8682-4e9d-bd57-7210636bc7f1 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Tikhonov regularization and total least squares,
Reference 17
Source-reported events for the cited work
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Observation aa6c4189-2193-4afd-a7bd-1d5b054b6589 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Iterative reconstruction methods using regularization and optimal current patterns in electrical impedance tomography,
Reference 18
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Observation 68fbbdb9-fccb-467a-818a-78fd4a7dbcd1 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Photo-realistic single image super-resolution using a generative adversarial network,
Reference 19
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Observation 3257a64d-9054-473f-8c67-aa9e0f47e65d · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Deep unsupervised learning using nonequilibrium thermodynamics,
Reference 20
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Observation a136f5cb-a7f6-44bf-83f6-6471d71670e0 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Denoising diffusion probabilistic models,
Reference 21
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Observation c20e88ca-b450-44da-9e56-8a313c87ebf2 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Diffusion models beat GANs on image synthesis,
Reference 22
Source-reported events for the cited work
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Observation a0572ff7-6c31-47d6-87f9-5d586871a2bf · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Wavegrad: Estimating gradients for waveform generation,
Reference 23
Source-reported events for the cited work
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Observation 019103e4-2298-4d0b-a04b-db646e0ddbf6 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Image super-resolution via iterative refinement,
Reference 24
Source-reported events for the cited work
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Observation ab813246-5bb4-4c77-b0d5-8d82a3ab43f1 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model
Reference 25
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Observation d46e9831-d558-47a3-bf8c-7636b2869139 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction High-resolution image synthesis with latent diffusion models,
Reference 26
Source-reported events for the cited work
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Observation 247dc03e-9e99-47df-b04c-ff1cc29449e0 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Palette: Image-to-image diffusion models,
Reference 27
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Observation f08b02e6-37d5-4bbb-9ba9-44536b45e24f · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Scalable diffusion models with transformers,
Reference 28
Source-reported events for the cited work
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Observation b4856240-3282-4ef1-9b32-69c394e41b83 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Image reconstruction in electrical impedance tomography based on structure-aware sparse bayesian learning,
Reference 29
Source-reported events for the cited work
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Observation 3015de65-d487-48ef-8ec5-005b9e3020bd · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Total variation regularization in electrical impedance tomography,
Reference 30
Source-reported events for the cited work
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Observation 9d36f728-04d1-449f-9d8f-e4df84893530 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Bayesian image reconstruction using weighted laplace prior for lung respiratory monitoring with electrical impedance tomography,
Reference 31
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Observation 1e17377f-c9b6-4730-b84f-e7f25f331228 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Noser: An algorithm for solving the inverse conductivity problem,
Reference 32
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Observation 3992e0f2-a90c-4561-bfff-cf2660fb9c0e · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Reconstructions of chest phantoms by the d-bar method for electrical impedance tomogra- phy,
Reference 33
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Observation 57a14a65-bdca-405a-8a83-155534eada7c · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Image reconstruction based on convolutional neural network for electrical resistance tomography,
Reference 34
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Observation 191ce3a3-c1d1-4649-acd9-fdc7907afe13 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Image reconstruction for electrical impedance tomography based on spatial invariant feature maps and convolutional neural network,
Reference 35
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Observation 2a4401f9-58a7-4903-999a-6561a53bb414 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Deep learning based cell imaging with electrical impedance tomography,
Reference 36
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Observation 8c05557b-2d58-4c92-84ff-69ee6899edc9 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Structure-aware dual-branch network for elec- trical impedance tomography in cell culture imaging,
Reference 37
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4545331f-8077-4258-91e7-a0f4e877821f · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction High-resolution conductivity reconstruction by electrical impedance tomography using structure- aware hybrid-fusion learning,
Reference 38
Source-reported events for the cited work
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Observation 5ac785b4-dc92-4567-b541-ba7f0eb6c609 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Shape reconstruction with multiphase conductivity for electrical impedance tomography using improved convolutional neural network method,
Reference 39
Source-reported events for the cited work
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Observation c5e1162c-790b-4302-814c-2b1e5d38a12d · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Error-constraint deep learning scheme for electrical impedance tomography (eit),
Reference 40
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Observation 6812af9b-cac7-4db0-bb91-49643b516523 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Electrical impedance tomography deep imaging with dual-branch u-net based on deformable convolution and hyper-convolution,
Reference 41
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Observation 4e83ce96-d3e9-469b-97b7-4d8ac1a27b69 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Deepeit: Deep image prior enabled electrical impedance tomography,
Reference 42
Source-reported events for the cited work
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Observation 53e5243e-add7-4eba-ad2d-5b1f205e1fb2 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction A comparative study of variational autoencoders, normalizing flows, and score-based diffusion models for electrical impedance tomography,
Reference 43
Source-reported events for the cited work
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Observation 3cffeb0e-ceae-4a77-b315-defc68f53212 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Data-driven approaches for electrical impedance to- mography image segmentation from partial boundary data,
Reference 44
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Observation e4f1eef2-6eb2-4302-b993-78c382feaa55 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Bounding evidence and estimating log-likelihood in vae,
Reference 45
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Observation 5f1940f6-a4e4-46a8-94ad-9cd225d7281f · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Bishop, Pattern Recognition and Machine Learning
Reference 46
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e397a37c-ae24-44e5-a3aa-1f8166854665 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Attention is all you need,
Reference 47
Source-reported events for the cited work
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Observation f80cf3db-2cdc-4b94-aba2-9955e88c3a92 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Swin transformer: Hierarchical vision transformer using shifted windows,
Reference 48
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e0690a8f-3755-4a2b-b4df-65180d82ff6a · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Searching for Activation Functions
Reference 49
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Observation 720e355d-2a50-4c2d-9583-8baf55799d25 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Root Mean Square Layer Normalization,
Reference 50
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Observation 10707d05-703d-484a-b3fc-bbaebd05399c · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Adam: A Method for Stochastic Optimization
Reference 51
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Observation 647ef04d-c35e-4835-a492-72f12b52ce35 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Denoising diffusion implicit models,
Reference 52
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Observation a6362b5a-7fe9-4b11-b602-f507c8e65f5a · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Jeans, Mathematical Theory of Electricity and Magnetism , ser
Reference 53
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Observation 4819a217-994f-483c-8a02-2fe73448b325 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Eidors: Towards a community-based extensible software base for eit,
Reference 54
Source-reported events for the cited work
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Observation 08825fed-d7bb-4c8f-b48c-44be52e977e9 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction The sheffield data collection system,
Reference 55
Source-reported events for the cited work
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Observation 905b4a9f-9bbe-406b-9be0-3834aeb5ba04 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Open 2D Electrical Impedance Tomography data archive
Reference 56
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Observation 93c3aca0-f64a-4442-89de-55e7130329a9 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Kuopio tomography challenge 2023 – electrical impedance tomography competition and open dataset,
Reference 57
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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5fa3b4cf-7f8f-481f-8c04-c35b02cc7a26 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction The ace1 electrical impedance tomography system for thoracic imaging,
Reference 58
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a6e3a15b-fd70-4995-aa70-8039f2ab51c4 · outbound
A Conditional Diffusion Model for Electrical Impedance Tomography Image Reconstruction Image quality assessment: from error visibility to structural similarity,
Reference 59
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No inbound Pith citation observations are available.