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Paper Citation Record · LEDGER

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution

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.

pith.paper-citation-record.v1
2504.16958 v1

Coverage vector

measured 53 of 53 reference resolution

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measured 53 of 53 standing notices

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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

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation d325034e-8e6b-4d5f-ac97-9e97b6a1ddc4 · outbound

This paper cites Cross-scope spatial-spectral informa- tion aggregation for hyperspectral image super-resolution,.

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

This paper cites Hyperspectral image super-resolution based on spatial-spectral feature extraction network,.

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

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Observation 5c6115ea-d724-4b7e-9f60-fd0abd36b8f9 · outbound

This paper cites Nonlocal low-rank tensor completion for visual data,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Nonlocal low-rank tensor completion for visual data,

Reference 3

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Observation e90f87f4-ef5f-402e-8957-8c62421b4bb4 · outbound

This paper cites Image super-resolution using deep convolutional networks,.

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

This paper cites Accurate image super-resolution using very deep convolutional networks,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Accurate image super-resolution using very deep convolutional networks,

Reference 5

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Observation 4edda870-d3b6-4d37-8a7a-e612e0921d84 · outbound

This paper cites Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Super-resolution reconstruction of knee magnetic resonance imaging based on deep learning,

Reference 6

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Observation 01293ead-77ce-4303-9fe6-b44dfcb548bf · outbound

This paper cites A trusted medical image super-resolution method based on feedback adaptive weighted dense network,.

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,

Reference 7

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Observation b7062888-82e5-4b4b-939c-c850df069298 · outbound

This paper cites Task transformer network for joint MRI reconstruction and super-resolution,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Task transformer network for joint MRI reconstruction and super-resolution,

Reference 8

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Observation ad27df56-7711-4236-bbad-7b1e7f927dcf · outbound

This paper cites Enhanced deep residual networks for single image super-resolution,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Enhanced deep residual networks for single image super-resolution,

Reference 9

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Observation 09081069-7345-49d5-a9fd-75d857f33a4a · outbound

This paper cites PET image super- resolution using generative adversarial networks,.

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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Source-reported events for the cited work

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Observation 4d9de987-6726-42c4-b37c-d55ca53922ce · outbound

This paper cites Arbitrary- scale image super-resolution via degradation perception,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Arbitrary- scale image super-resolution via degradation perception,

Reference 11

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Observation 9678a29c-0340-4f85-986c-33f6af872567 · outbound

This paper cites Single image superresolu- tion based on gradient profile sharpness,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Single image superresolu- tion based on gradient profile sharpness,

Reference 12

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Observation 09eaadef-93ca-45fe-9c5f-59fd1840a0b8 · outbound

This paper cites Transmrsr: transformer-based self-distilled generative prior for brain MRI super-resolution,.

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

Resolution
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Observation 2e961eef-cf1b-4174-a67d-03d77d2e5280 · outbound

This paper cites Deep residual learning for image recognition,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Deep residual learning for image recognition,

Reference 14

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Source-reported events for the cited work

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Observation af9d8f74-6736-44c7-ab7b-bffb0f46e292 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale,.

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

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Observation db96a847-42fd-4adc-b3e1-894ab5c521c2 · outbound

This paper cites Combining recurrent, convolutional, and continuous-time models with linear state space layers,.

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

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Observation ed53793f-37cf-4241-8c32-d9e054ed620d · outbound

This paper cites Efficiently modeling long sequences with structured state spaces,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Efficiently modeling long sequences with structured state spaces,

Reference 17

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Observation b27a45ea-db5a-43d4-b41d-45c2aec785b2 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 18

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Observation 78b66f9f-43cf-4c4f-8bb4-9ee3c4c1d141 · outbound

This paper cites SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation.

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

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Observation 7b9ddea4-767b-496b-9ea8-988a49b03ce1 · outbound

This paper cites VM-UNet: Vision Mamba UNet for Medical Image Segmentation.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution VM-UNet: Vision Mamba UNet for Medical Image Segmentation

Reference 20

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Observation ac8bb0f4-85fd-498d-adbc-54e202376f8f · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

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

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Observation 1e129d6a-a819-44b0-991b-65924697beca · outbound

This paper cites Selective structured state-spaces for long-form video understanding,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Selective structured state-spaces for long-form video understanding,

Reference 22

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Observation 0a49fc6a-806c-46a7-9f3b-e3b4e5a96f46 · outbound

This paper cites VMamba: Visual State Space Model.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution VMamba: Visual State Space Model

Reference 23

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Observation 91b1a728-2678-4a4d-8e34-5b5884aa00b7 · outbound

This paper cites Cubic convolution interpolation for digital image processing,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Cubic convolution interpolation for digital image processing,

Reference 24

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Observation 51bd46ce-6e21-4b2d-b5a2-8dbc31340a64 · outbound

This paper cites High-resolution image recovery from image- plane arrays, using convex projections,.

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

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Observation 239de5a4-ca22-43d7-ba79-3cefe3e8cf5e · outbound

This paper cites Lrtv: Mr image super-resolution with low-rank and total variation regularizations,.

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

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Observation fe09ad55-0364-4058-8c73-ce8240bc5d02 · outbound

This paper cites Coupled dictionary training for image super-resolution,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Coupled dictionary training for image super-resolution,

Reference 27

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Source-reported events for the cited work

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Observation 074c186b-ee70-4430-9e21-3b92776469ce · outbound

This paper cites Image super-resolution via sparse representation,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Image super-resolution via sparse representation,

Reference 28

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Observation ec1e5082-b273-4523-bd2f-139682222841 · outbound

This paper cites Mapanet: A multi-scale attention-guided progressive aggregation network for multi-contrast MRI super-resolution,.

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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Source-reported events for the cited work

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Observation 96caeaff-55a8-46fd-99be-a5947b45903b · outbound

This paper cites Cytopathology image super-resolution of portable microscope based on convolutional window-integration transformer,.

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

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Source-reported events for the cited work

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Observation c82a6f21-8cd5-4e7a-a88a-2ce021c6e5b2 · outbound

This paper cites A fast medical image super resolution method based on deep learning network,.

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

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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.

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Observation 2f8fd66e-b4b0-4d19-b76d-fbcb422f2537 · outbound

This paper cites Photo-realistic single image super-resolution using a generative adversarial network,.

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

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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.

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Observation 2b66205d-5f7a-441a-a1fc-6670a6a39b04 · outbound

This paper cites MFTN: multi-level feature transfer network based on mri-transformer for MR image super-resolution,.

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,

Reference 33

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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.

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Observation b48a56f2-da84-40ea-afce-7663d585aef3 · outbound

This paper cites Multi-contrast brain magnetic resonance image super-resolution using the local weight similarity,.

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

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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.

source=pdf_text observed=2026-08-16T11:08:53.975209Z digest=sha256:23a9dc43cb3af459d728df7fc193af51e3c2af4e1feeba369be41d0db7ab5316

Observation 5a63161e-f8d1-46ad-b986-dd855fee906f · outbound

This paper cites Wavelet-aware transformer network for multi-contrast knee MRI super-resolution,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:56.458156Z

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.

source=pdf_text observed=2026-08-16T11:08:54.056229Z digest=sha256:463558cf1ae5316e52b95147f06a48765703bc8f2ef4e0b5c3c0a1605fcd54fb

Observation b4136cd6-fabf-439b-84ac-10b119685082 · outbound

This paper cites Multi-scale deformable transformer for multi-contrast knee MRI super-resolution,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:56.376227Z

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.

source=pdf_text observed=2026-08-16T11:08:54.061138Z digest=sha256:595f3ccf5176b5e4cc7b0b7639e6dd19cf169fb333d4a66cc563c09447f214f7

Observation 3beed210-2fcc-450b-89c5-b1be40a8acfa · outbound

This paper cites Deep face super- resolution with iterative collaboration between attentive recovery and landmark estimation,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:56.295923Z

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.

source=pdf_text observed=2026-08-16T11:08:54.130984Z digest=sha256:045e19ad637cbed2bdb1ed641be9d5fdfae9a57218915005f5ec994423d85b3c

Observation 3ffe8116-72b4-45e6-8763-581ad5c29b2a · outbound

This paper cites Progressive semantic-aware style transformation for blind face restoration,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Progressive semantic-aware style transformation for blind face restoration,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:56.192429Z

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.

source=pdf_text observed=2026-08-16T11:08:54.165262Z digest=sha256:ad37cffa7c3d1aa26286f8013fe91613701a0cac207a5894d4f82b31234d1ade

Observation 7b6d17e2-2716-4846-85c9-8ac7591ff0e5 · outbound

This paper cites Analysis of zero-order holder discretization of two-dimensional sliding-mode control systems,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:56.133334Z

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.

source=pdf_text observed=2026-08-16T11:08:54.264672Z digest=sha256:9b1fcc70d91738ad94ba7e8f1a0dbba44b85af8868daa106a3ca1bcf375af2f0

Observation e1b04780-cc6b-4521-807c-1d262533427b · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T11:08:54.301257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:08:54.301257Z digest=sha256:ed19249f5f621bf1ae0662bcde3b2435c09965441cd7dde698eb5a2a9706c859

Observation d8bf9449-cb2f-4ec1-9e13-4e97c4e8b216 · outbound

This paper cites Deform-mamba network for MRI super-resolution,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Deform-mamba network for MRI super-resolution,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:56.005183Z

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.

source=pdf_text observed=2026-08-16T11:08:54.306558Z digest=sha256:7c207c8718baf37440b68c97f72ffb15385a87683ea28592cc0918bca9aa63d5

Observation 78e0a256-168b-42aa-9bfd-c2f0ed7efe92 · outbound

This paper cites Generation of super- resolution for medical image via a self-prior guided mamba network with edge-aware constraint,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:55.844593Z

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.

source=pdf_text observed=2026-08-16T11:08:54.366817Z digest=sha256:41633acecd1d83062effe3fbabd949e4c7ac669e457247bd208208cfe956284c

Observation 940d6c91-8e78-465e-a30a-e4590f678540 · outbound

This paper cites Squeeze-and-excitation networks,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Squeeze-and-excitation networks,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:55.699754Z

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.

source=pdf_text observed=2026-08-16T11:08:54.372439Z digest=sha256:4186e800665548fbd6c48f69cfa026a16474f7a51922c732706fb874a9c52c93

Observation 3b25b23b-a3c3-47c1-8317-11b394302fae · outbound

This paper cites Loss functions for image restoration with neural networks,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Loss functions for image restoration with neural networks,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:55.608846Z

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.

source=pdf_text observed=2026-08-16T11:08:54.459809Z digest=sha256:f3410109b10199e89baf75e0adb3b59e180869972fdb47223cdfbdacfe9a4704

Observation e1060a0d-10e0-4454-b4a9-2d11661dfb39 · outbound

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

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T11:08:54.466342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:08:54.466342Z digest=sha256:e47a1a127d26d59dc69092d3a2665e5df32de4f09e1fc1037eff1a12c5677ed2

Observation 3453b28e-edd3-4b32-999c-4b049e1b0bd1 · outbound

This paper cites fastmri: A publicly available raw k-space and dicom dataset of knee images for ac- celerated mr image reconstruction using machine learning,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:55.433263Z

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.

source=pdf_text observed=2026-08-16T11:08:54.510009Z digest=sha256:9b20851edda099c9371acc6953320de68eb75757c567ae81bed1d32565bfa627

Observation 5f92a4ee-c77b-4efd-a528-64343a28d488 · outbound

This paper cites Head and neck tumor segmentation in PET/CT: the HECKTOR challenge,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:55.327542Z

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.

source=pdf_text observed=2026-08-16T11:08:54.533308Z digest=sha256:0e6148d873ac8c04300152af9d9153e21f03bcd4775ce497fa7eaebf19fa82f7

Observation c9df0745-2f88-4efb-af54-a8a208d52af5 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Image quality assessment: from error visibility to structural similarity,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T11:08:54.538014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:08:54.538014Z digest=sha256:ebcc837ad9a574359ba471b9ac41960bbc559d4a7a8070114444e4c3d003c518

Observation c50a7582-7be8-4443-ae10-84f75155dc8b · outbound

This paper cites Single image super-resolution based on directional vari- ance attention network,.

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:55.199047Z

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.

source=pdf_text observed=2026-08-16T11:08:54.542802Z digest=sha256:52391c9cbaee5431fbef82836169aa0d73c435a075b314791e88a3a66580a41c

Observation f7f34cac-2bb6-480b-b5c9-175d67a3d9c0 · outbound

This paper cites Multi-contrast super-resolution MRI through a progressive network,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Multi-contrast super-resolution MRI through a progressive network,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:55.119432Z

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.

source=pdf_text observed=2026-08-16T11:08:54.569565Z digest=sha256:2d87995397c826f222143a1161e31469ef5c4cda2a1c50832fedf910018bb4d7

Observation e86323f5-ac9f-420f-b382-ce01059693b0 · outbound

This paper cites Swinir: Image restoration using swin transformer,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Swinir: Image restoration using swin transformer,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:55.040295Z

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.

source=pdf_text observed=2026-08-16T11:08:54.595020Z digest=sha256:5d2d0218ce0fa6ec48f9781ae9c72dcf4c96e2d2db4ae14ec03a9461b695b617

Observation 0b1357c1-6e62-431b-9e7f-bd33821cf3c8 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:08:54.830350Z

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.

source=pdf_text observed=2026-08-16T11:08:54.624746Z digest=sha256:e31ec34cf97e3a69e73e7ff5a2710428118c920df76a5d167d5d349a4c217cab

Observation 7b7f2e10-4e7c-4c87-861a-e51efc6e59f1 · outbound

This paper cites Attention U-Net: Learning Where to Look for the Pancreas.

Iterative Collaboration Network Guided By Reconstruction Prior for Medical Image Super-Resolution Attention U-Net: Learning Where to Look for the Pancreas

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T11:08:54.629908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:08:54.629908Z digest=sha256:7ac8eb61e97fbdce97e0b3592687abd48d7cceb96b68f2794c0619fa5bf082e6

Pith citing papers

No inbound Pith citation observations are available.