Paper Citation Record · LEDGER

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery

As of 20 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2506.01112.

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

pith.paper-citation-record.v1
2506.01112 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:59.688754Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

43 of 43 outbound references displayed

verified exact0
verified fuzzy33
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 569c68d7-5494-4d36-967a-a9ecabf43be4 · outbound

This paper cites Regression shrinkage and selection via the lasso.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Regression shrinkage and selection via the lasso

Reference 1

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Observation abe7fc8a-26b8-4294-a2b1-e761a486ba2b · outbound

This paper cites an unresolved cited work.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:00.355958Z

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Observation 60b86063-7362-441d-b6ad-8434c27d453e · outbound

This paper cites Inverse Problem Theory and Methods for Model Parameter Estimation.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Inverse Problem Theory and Methods for Model Parameter Estimation

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:00.342455Z

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Observation f9f0772c-ea5e-49bb-836a-d4dd9624419f · outbound

This paper cites Linear inverse problems in imaging.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Linear inverse problems in imaging

Reference 4

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Observation ce5d2502-70b4-4fa1-bf21-1480ecec5fcd · outbound

This paper cites Candès, Justin K.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Candès, Justin K

Reference 5

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Observation 5fad4139-b38f-4e6d-bda8-6942b831e02c · outbound

This paper cites Compressed sensing.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Compressed sensing

Reference 6

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Observation c27cee2c-0a09-442c-a65d-a4a5dcc39e82 · outbound

This paper cites Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:00.292368Z

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Observation 8967b6e2-9fac-4a87-ace5-bc6ae1f2ba1d · outbound

This paper cites Sparse and Redundant Representations: from Theory to Applications in Signal and Image Processing.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Sparse and Redundant Representations: from Theory to Applications in Signal and Image Processing

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:00.279426Z

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Observation 2c11b300-226a-4271-98a3-1c12cd1da5a1 · outbound

This paper cites U-net: convolutional networks for biomedical image segmentation.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery U-net: convolutional networks for biomedical image segmentation

Reference 9

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Observation 7a6a41d4-0184-475f-9079-5c25606779fe · outbound

This paper cites Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Beyond a Gaussian denoiser: Residual learning of deep CNN for image denoising

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:00.252168Z

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Observation d01d7fe6-9aad-48c8-9f34-b3defd26cfed · outbound

This paper cites FFDNet: Toward a fast and flexible solution for CNN-based image denoising.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery FFDNet: Toward a fast and flexible solution for CNN-based image denoising

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:00.238779Z

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Observation 650d954f-f214-4b4b-b4a3-cc7afbf53edc · outbound

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

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Photo-realistic single image super-resolution using a generative adversarial network

Reference 12

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Observation bfa9544c-2c2a-4dc8-b58c-fe5948a60db2 · outbound

This paper cites Patel, and Richard G.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Patel, and Richard G

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:00.208614Z

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Observation b7b29e9e-3bb8-447c-b96b-4db871955a9a · outbound

This paper cites Phase recovery and holographic image reconstruction using deep learning in neural networks.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Phase recovery and holographic image reconstruction using deep learning in neural networks

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:00.193954Z

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Observation 4f7e1682-50a0-4574-8da4-209b008c16f1 · outbound

This paper cites Deep convolu- tional neural network for inverse problems in imaging.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Deep convolu- tional neural network for inverse problems in imaging

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:00.178825Z

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Observation 14f360b4-3fa4-4e00-97c8-0ffc7f025c72 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 16

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Source-reported events for the cited work

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Observation e8a3a9d2-76a3-404a-9b07-b00017c1b2e4 · outbound

This paper cites TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Reference 17

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Source-reported events for the cited work

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Observation a0e686aa-0799-49e0-a2d1-298f738697f2 · outbound

This paper cites K-svd: An algorithm for designing overcomplete dictionaries for sparse representation.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery K-svd: An algorithm for designing overcomplete dictionaries for sparse representation

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:00.164172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 130029f1-c793-4930-a318-7320fa27945a · outbound

This paper cites Signal recovery from random measurements via orthogonal matching pursuit.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Signal recovery from random measurements via orthogonal matching pursuit

Reference 19

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Observation bbf60d32-0f95-44dd-b083-771109079d62 · outbound

This paper cites A fast iterative shrinkage-thresholding algorithm for linear inverse problems.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery A fast iterative shrinkage-thresholding algorithm for linear inverse problems

Reference 20

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Observation 4c1ac9a0-e64d-4753-aa0c-651791c196d7 · outbound

This paper cites Inverse Problem Theory and Methods for Model Parameter Estimation.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Inverse Problem Theory and Methods for Model Parameter Estimation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:00.124405Z

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Observation db7e4b1c-a900-48d6-80ec-ee3c57f778fc · outbound

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TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Unresolved cited work

Reference 22

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Source-reported events for the cited work

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Observation dbbc447e-cef7-4bf0-9743-0459d43031e0 · outbound

This paper cites Deep generative adversarial neural networks for compressive sensing mri.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Deep generative adversarial neural networks for compressive sensing mri

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:00.084878Z

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Observation 7fc01032-171f-4187-95f4-3c804e266218 · outbound

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TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Unresolved cited work

Reference 24

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Observation 4669b06e-581f-4372-b946-9398f367ecbd · outbound

This paper cites Deep tissue fluorescence microscopy with a multimode fiber.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Deep tissue fluorescence microscopy with a multimode fiber

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:00.020312Z

Source-reported events for the cited work

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Observation 0e0358eb-4bd3-4f18-ae3c-f76704f4bf3a · outbound

This paper cites ISTA-Net: interpretable optimization-inspired deep network for image compressive sensing.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery ISTA-Net: interpretable optimization-inspired deep network for image compressive sensing

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:59.996538Z

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Observation df6864b8-cf56-441c-a7a4-6df26a0c7c46 · outbound

This paper cites Deep ADMM-Net for compressive sensing MRI.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Deep ADMM-Net for compressive sensing MRI

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:59.982658Z

Source-reported events for the cited work

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Observation 51792b9d-803c-4ec9-84b3-b3874428b683 · outbound

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TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Unresolved cited work

Reference 28

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Observation 9da41775-dfaa-455f-8a2c-aeb6b766c163 · outbound

This paper cites U-Net: convolutional networks for biomedical image segmentation.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery U-Net: convolutional networks for biomedical image segmentation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:59.956740Z

Source-reported events for the cited work

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Observation 3a03929e-3d1c-4c59-82ef-b747ee9fbdae · outbound

This paper cites Restormer: efficient transformer for high-resolution image restoration.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Restormer: efficient transformer for high-resolution image restoration

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:59.943494Z

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Observation 3ae66799-162d-4e6b-acb6-26a8bff96294 · outbound

This paper cites Decoding by linear programming.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Decoding by linear programming

Reference 31

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Observation aacaa667-449d-4dc8-be9f-c6bcee664e8d · outbound

This paper cites Spatial pyramid pooling in deep convolutional networks for visual recognition.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Spatial pyramid pooling in deep convolutional networks for visual recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:59.915993Z

Source-reported events for the cited work

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Observation a3b894d4-ee72-4f9d-bded-df10a4fb56cc · outbound

This paper cites FastMRI: an open dataset and benchmarks for accelerated MRI.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery FastMRI: an open dataset and benchmarks for accelerated MRI

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:59.902616Z

Source-reported events for the cited work

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Observation 395446a3-5926-457e-93b6-df5d6122c8b7 · outbound

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

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Sparse MRI: the application of compressed sensing for rapid MR imaging

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:59.887523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16796bd6-8ddb-4bee-a650-354651fa07d3 · outbound

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

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Image quality assessment: from error visibility to structural similarity

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:59.871704Z

Source-reported events for the cited work

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Observation bd0e4ef2-e445-4f18-91d0-7574b096de98 · outbound

This paper cites Digital Image Processing.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Digital Image Processing

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:59.856928Z

Source-reported events for the cited work

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Observation 33de3058-d0c2-4838-88bc-2a86984f0a9f · outbound

This paper cites Denoising diffusion probabilistic models.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Denoising diffusion probabilistic models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:59.843022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5a499acb-9b86-4511-a58b-5af6cfe23dfe · outbound

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

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Loss functions for image restoration with neural networks

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:59.828028Z

Source-reported events for the cited work

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Observation 41dc38d5-0df2-444f-ba16-6e557c5bc470 · outbound

This paper cites Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:59.808896Z

Source-reported events for the cited work

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Observation dd202229-ae66-4a9c-8994-f91cbc46505f · outbound

This paper cites Deep residual learning for im- age recognition.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Deep residual learning for im- age recognition

Reference 40

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Observation af2f9d7d-3630-4e53-afe3-6e55461b2bea · outbound

This paper cites Med3D: Transfer Learning for 3D Medical Image Analysis.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Med3D: Transfer Learning for 3D Medical Image Analysis

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:59.679720Z

Source-reported events for the cited work

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Observation c0b42669-b56e-4ea5-a486-d9b34868cb81 · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery Training data-efficient image transformers & distillation through attention

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:59.785127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0017b04a-64f4-429f-9984-89fa83de4640 · outbound

This paper cites MobileViT: light-weight, general-purpose, and mobile-friendly vision transformer.

TRUST -- Transformer-Driven U-Net for Sparse Target Recovery MobileViT: light-weight, general-purpose, and mobile-friendly vision transformer

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:56:59.771167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.