Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:08:54.629908Z
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2504.16958.
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 2026-08-16T11:08:54.629908Z
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
53 of 53 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d325034e-8e6b-4d5f-ac97-9e97b6a1ddc4 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Cross-scope spatial-spectral informa- tion aggregation for hyperspectral image super-resolution,
Reference 1
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Observation 57384596-e4e7-4780-8774-2b4c0bc7fc28 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Hyperspectral image super-resolution based on spatial-spectral feature extraction network,
Reference 2
Source-reported events for the cited work
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Observation e90f87f4-ef5f-402e-8957-8c62421b4bb4 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Image super-resolution using deep convolutional networks,
Reference 4
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Observation 9a345bf2-9683-443c-b025-7fc3c8a9f289 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Accurate image super-resolution using very deep convolutional networks,
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Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution A trusted medical image super-resolution method based on feedback adaptive weighted dense network,
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Source-reported events for the cited work
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Observation ad27df56-7711-4236-bbad-7b1e7f927dcf · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Enhanced deep residual networks for single image super-resolution,
Reference 9
Source-reported events for the cited work
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Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution PET image super- resolution using generative adversarial networks,
Reference 10
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Observation 4d9de987-6726-42c4-b37c-d55ca53922ce · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Arbitrary- scale image super-resolution via degradation perception,
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Source-reported events for the cited work
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Observation 9678a29c-0340-4f85-986c-33f6af872567 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Single image superresolu- tion based on gradient profile sharpness,
Reference 12
Source-reported events for the cited work
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Observation 09eaadef-93ca-45fe-9c5f-59fd1840a0b8 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Transmrsr: transformer-based self-distilled generative prior for brain MRI super-resolution,
Reference 13
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Observation 2e961eef-cf1b-4174-a67d-03d77d2e5280 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Deep residual learning for image recognition,
Reference 14
Source-reported events for the cited work
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Observation af9d8f74-6736-44c7-ab7b-bffb0f46e292 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution An image is worth 16x16 words: Trans- formers for image recognition at scale,
Reference 15
Source-reported events for the cited work
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Observation db96a847-42fd-4adc-b3e1-894ab5c521c2 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Combining recurrent, convolutional, and continuous-time models with linear state space layers,
Reference 16
Source-reported events for the cited work
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Observation ed53793f-37cf-4241-8c32-d9e054ed620d · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Efficiently modeling long sequences with structured state spaces,
Reference 17
Source-reported events for the cited work
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Observation b27a45ea-db5a-43d4-b41d-45c2aec785b2 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 18
Source-reported events for the cited work
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Observation 78b66f9f-43cf-4c4f-8bb4-9ee3c4c1d141 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
Reference 19
Source-reported events for the cited work
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Observation 7b9ddea4-767b-496b-9ea8-988a49b03ce1 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution VM-UNet: Vision Mamba UNet for Medical Image Segmentation
Reference 20
Source-reported events for the cited work
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Observation ac8bb0f4-85fd-498d-adbc-54e202376f8f · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
Reference 21
Source-reported events for the cited work
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Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Selective structured state-spaces for long-form video understanding,
Reference 22
Source-reported events for the cited work
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Observation 0a49fc6a-806c-46a7-9f3b-e3b4e5a96f46 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution VMamba: Visual State Space Model
Reference 23
Source-reported events for the cited work
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Observation 91b1a728-2678-4a4d-8e34-5b5884aa00b7 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Cubic convolution interpolation for digital image processing,
Reference 24
Source-reported events for the cited work
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Observation 51bd46ce-6e21-4b2d-b5a2-8dbc31340a64 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution High-resolution image recovery from image- plane arrays, using convex projections,
Reference 25
Source-reported events for the cited work
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Observation 239de5a4-ca22-43d7-ba79-3cefe3e8cf5e · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Lrtv: Mr image super-resolution with low-rank and total variation regularizations,
Reference 26
Source-reported events for the cited work
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Observation fe09ad55-0364-4058-8c73-ce8240bc5d02 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Coupled dictionary training for image super-resolution,
Reference 27
Source-reported events for the cited work
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Observation 074c186b-ee70-4430-9e21-3b92776469ce · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Image super-resolution via sparse representation,
Reference 28
Source-reported events for the cited work
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Observation ec1e5082-b273-4523-bd2f-139682222841 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Mapanet: A multi-scale attention-guided progressive aggregation network for multi-contrast MRI super-resolution,
Reference 29
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Observation 96caeaff-55a8-46fd-99be-a5947b45903b · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Cytopathology image super-resolution of portable microscope based on convolutional window-integration transformer,
Reference 30
Source-reported events for the cited work
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Observation c82a6f21-8cd5-4e7a-a88a-2ce021c6e5b2 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution A fast medical image super resolution method based on deep learning network,
Reference 31
Source-reported events for the cited work
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Observation 2f8fd66e-b4b0-4d19-b76d-fbcb422f2537 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Photo-realistic single image super-resolution using a generative adversarial network,
Reference 32
Source-reported events for the cited work
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Observation 2b66205d-5f7a-441a-a1fc-6670a6a39b04 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution MFTN: multi-level feature transfer network based on mri-transformer for MR image super-resolution,
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Source-reported events for the cited work
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Observation b48a56f2-da84-40ea-afce-7663d585aef3 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity,
Reference 34
Source-reported events for the cited work
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Observation 5a63161e-f8d1-46ad-b986-dd855fee906f · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Wavelet-aware transformer network for multi-contrast knee MRI super-resolution,
Reference 35
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 b4136cd6-fabf-439b-84ac-10b119685082 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Multi-scale deformable transformer for multi-contrast knee MRI super-resolution,
Reference 36
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 3beed210-2fcc-450b-89c5-b1be40a8acfa · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Deep face super- resolution with iterative collaboration between attentive recovery and landmark estimation,
Reference 37
Source-reported events for the cited work
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Observation 3ffe8116-72b4-45e6-8763-581ad5c29b2a · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Progressive semantic-aware style transformation for blind face restoration,
Reference 38
Source-reported events for the cited work
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Observation 7b6d17e2-2716-4846-85c9-8ac7591ff0e5 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Analysis of zero-order holder discretization of two-dimensional sliding-mode control systems,
Reference 39
Source-reported events for the cited work
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Observation e1b04780-cc6b-4521-807c-1d262533427b · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
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Source-reported events for the cited work
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Observation d8bf9449-cb2f-4ec1-9e13-4e97c4e8b216 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Deform-mamba network for MRI super-resolution,
Reference 41
Source-reported events for the cited work
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Observation 78e0a256-168b-42aa-9bfd-c2f0ed7efe92 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Generation of super- resolution for medical image via a self-prior guided mamba network with edge-aware constraint,
Reference 42
Source-reported events for the cited work
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Observation 940d6c91-8e78-465e-a30a-e4590f678540 · outbound
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Reference 43
Source-reported events for the cited work
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Observation 3b25b23b-a3c3-47c1-8317-11b394302fae · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Loss functions for image restoration with neural networks,
Reference 44
Source-reported events for the cited work
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Observation e1060a0d-10e0-4454-b4a9-2d11661dfb39 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
Reference 45
Source-reported events for the cited work
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Observation 3453b28e-edd3-4b32-999c-4b049e1b0bd1 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution fastmri: A publicly available raw k-space and dicom dataset of knee images for ac- celerated mr image reconstruction using machine learning,
Reference 46
Source-reported events for the cited work
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Observation 5f92a4ee-c77b-4efd-a528-64343a28d488 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Head and neck tumor segmentation in PET/CT: the HECKTOR challenge,
Reference 47
Source-reported events for the cited work
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Observation c9df0745-2f88-4efb-af54-a8a208d52af5 · outbound
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Reference 48
Source-reported events for the cited work
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Observation c50a7582-7be8-4443-ae10-84f75155dc8b · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Single image super-resolution based on directional vari- ance attention network,
Reference 49
Source-reported events for the cited work
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Observation f7f34cac-2bb6-480b-b5c9-175d67a3d9c0 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Multi-contrast super-resolution MRI through a progressive network,
Reference 50
Source-reported events for the cited work
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Observation e86323f5-ac9f-420f-b382-ce01059693b0 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Swinir: Image restoration using swin transformer,
Reference 51
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 0b1357c1-6e62-431b-9e7f-bd33821cf3c8 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Swin transformer: Hierarchical vision transformer using shifted windows,
Reference 52
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 7b7f2e10-4e7c-4c87-861a-e51efc6e59f1 · outbound
Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Attention U-Net: Learning Where to Look for the Pancreas
Reference 53
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.